TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol.\nIt can view history, orders and market information. Also, you can open orders and trades.
\n\nIf you run this module as CLI program then it realizes simple logic: receiving a lot of options and execute one command.\nSee examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples
\n\nUsed constants are in the TKSEnums module: https://tim55667757.github.io/TKSBrokerAPI/docs/tksbrokerapi/TKSEnums.html
\n\nAbout Tinkoff Invest API: https://tinkoff.github.io/investAPI/
\n\nTinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/
\n"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.NanoToFloat", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "NanoToFloat", "type": "function", "doc": "Convert number in nano-view mode with string parameter units and integer parameter nano to float view. Examples:
NanoToFloat(units=\"2\", nano=500000000) -> 2.5
NanoToFloat(units=\"0\", nano=50000000) -> 0.05
\n\n", "signature": "(units: str, nano: int) -> float", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.FloatToNano", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "FloatToNano", "type": "function", "doc": "float view of number
\n
Convert float number to nano-type view: dictionary with string units and integer nano parameters {\"units\": \"string\", \"nano\": integer}. Examples:
FloatToNano(number=2.5) -> {\"units\": \"2\", \"nano\": 500000000}
FloatToNano(number=0.05) -> {\"units\": \"0\", \"nano\": 50000000}
\n\n", "signature": "(number: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.GetDatesAsString", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "GetDatesAsString", "type": "function", "doc": "nano-type view of number:
\n{\"units\": \"string\", \"nano\": integer}
If start=None, end=None then return dates from yesterday to current time.\nIf start=some_date_1, end=None then return dates from some_date_1 to current time.\nIf start=some_date_1, end=some_date_2 then return dates from some_date_1 to some_date_2.\nStart day may be negative integer numbers: -1, -2, -3 - how many days ago.
Also, you can use keywords for start if dateEnd=None:\ntoday (from 00:00:00 to current time),\nyesterday (-1 day from 00:00:00 to 23:59:59),\nweek (-7 day from 00:00:00 to current date and time),\nmonth (-30 day from 00:00:00 to current date and time),\nyear (-365 day from 00:00:00 to current date and time),
User dates format must be like: %Y-%m-%d, e.g. 2020-02-03 (3 Feb, 2020).
\n\n", "signature": "(start: str = None, end: str = None) -> tuple", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer", "type": "class", "doc": "tuple with 2 strings
\n(start, end)dates in UTC ISO time format%Y-%m-%dT%H:%M:%SZfor OpenAPI.\n Example:(\"2022-06-01T00:00:00Z\", \"2022-06-20T23:59:59Z\")
This class implements methods to work with Tinkoff broker server.
\n\nExamples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/
\n\nAbout token: https://tinkoff.github.io/investAPI/token/
Main class init.
\n\nTKS_API_TOKEN.TKS_ACCOUNT_ID.Listing() method auto-update this variable, or you can use dump file.\n For future use, you can save this variable and use as iList to avoid permanent downloads\n from the server. Also, you can try DumpInstruments() method.dump.json with raw data to use instead of iList if iList set as None.\n True by default. Cache is auto-update if new day has come.\n If iList is not None then it value has higher priority than dump.json and useCache.\n If you don't want to use cache and always updates raw data then set useCache=False.Some aliases instead official tickers. See TKSEnums.TKS_TICKER_ALIASES
String with ticker, e.g. GOOGL. Use alias for USD000UTSTOM simple as USD, EUR_RUB__TOM as EUR etc. More tickers aliases here: TKSEnums.TKS_TICKER_ALIASES.
String with FIGI, e.g. ticker GOOGL has FIGI BBG009S39JX6
Depth of Market (DOM) can be >= 1. Default: 1. It used with --price key to showing DOM with current prices for givens ticker or FIGI.
Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest
\n\nSee also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1
\n"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.timeout", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.timeout", "type": "variable", "doc": "Server operations timeout in seconds. Default: 15
\n"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.headers", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.headers", "type": "variable", "doc": "Headers which send in every request to broker server. Default: {\"Content-Type\": \"application/json\", \"accept\": \"application/json\", \"Authorization\": \"Bearer {token}\"}
Request body which send to broker server. Default: None
How many candles returns if candles history request. For example, if historyInterval=\"hour\" and historyLength=24 it means: \"give me last 24 hours\". Must be >=1. Default: 24
Interval string for Tinkoff API (see: TKSEnums.TKS_TIMEFRAMES). Available values are \"1min\", \"2min\", \"3min\", \"5min\", \"10min\", \"15min\", \"30min\", \"hour\", \"day\", \"week\", \"month\". Default: \"hour\"
Filename where full broker's instruments list will be saved. Default: instruments.md
Filename with all found instruments searched by part of its ticker, FIGI or name. Default: search-results.md
Filename where prices of selected instruments will be saved. Default: prices.md
Filename where current portfolio, open trades and orders will be saved. Default: overview.md
Filename where history of deals and trade statistics will be saved. Default: deals.md
Full path to .csv output file where history candles will be saved. Default: None, mean that returns only pandas dataframe.
Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: dump.json
Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating.
\n\nSee also: Listing() and DumpInstruments().
Send GET or POST request to broker server and receive JSON object.
\n\nself.header: must be define with dictionary of headers.\nself.body: if define then used as request body. None by default.\nself.timeout: global request timeout, 15 seconds by default.
\n\nTrue then print more debug information.\n\n", "signature": "(\n self,\n url: str,\n reqType: str = 'GET',\n retry: int = 3,\n pause: int = 5,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Listing", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Listing", "type": "function", "doc": "response JSON (dictionary) from broker.
\n
Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server.
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.DumpInstruments", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.DumpInstruments", "type": "function", "doc": "Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures.
\n
Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server\nusing Listing() method. If iListDumpFile string is not empty then also save information to this file.
True then at first updates data with Listing() method, otherwise just saves exist iList.\n\n", "signature": "(self, forceUpdate: bool = True) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.ShowInstrumentInfo", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.ShowInstrumentInfo", "type": "function", "doc": "serialized JSON formatted
\nstrwith full data of instruments, also saved to the--outputfile.
Show information about instrument defined by json and print in Markdown format.
\n\niJSON = self.iList[\"Shares\"][self.ticker]True then also printing information about instrument and its current price.\n\n", "signature": "(iJSON: dict, printInfo: bool = False) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchByTicker", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchByTicker", "type": "function", "doc": "text in Markdown format with information about instrument.
\n
Search and return raw broker's information about instrument by it's ticker.\nticker must be define! If debug=True then print all debug messages.
False then do not request current price of instrument (because this is long operation).False then do not run ShowInstrumentInfo() method and do not print info to the console.True then print all debug console messages.\n\n", "signature": "(\n self,\n requestPrice: bool = False,\n showInfo: bool = False,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchByFIGI", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchByFIGI", "type": "function", "doc": "JSON formatted data with information about instrument.
\n
Search and return raw broker's information about instrument by it's FIGI.\nfigi must be define! If debug=True then print all debug messages.
False then do not request current price of instrument (it's long operation).False then do not run ShowInstrumentInfo() method and do not print info to the console.True then print all debug console messages.\n\n", "signature": "(\n self,\n requestPrice: bool = False,\n showInfo: bool = False,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetCurrentPrices", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetCurrentPrices", "type": "function", "doc": "JSON formatted data with information about instrument.
\n
Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record:\n{\"buy\": [], \"sell\": [], \"limitUp\": None, \"limitDown\": None, \"lastPrice\": None, \"closePrice\": None}.
True then print DOM.\n\n", "signature": "(self, showPrice: bool = False) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.ShowInstrumentsInfo", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.ShowInstrumentsInfo", "type": "function", "doc": "orders book dict with lists of current buy and sell prices:
\n{\"buy\": [{\"price\": x1, \"quantity\": y1, ...}], \"sell\": [....]}.
This method get and show information about all available broker instruments.\nIf instrumentsFile string is not empty then also save information to this file.
True then print results to console, if False - print only to file.\n\n", "signature": "(self, showInstruments: bool = False) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchInstruments", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchInstruments", "type": "function", "doc": "multi-string with all available broker instruments
\n
This method search and show information about instruments by part of its ticker, FIGI or name.\nIf searchResultsFile string is not empty then also save information to this file.
True then print results to console, if False - return list of result only.\n\n", "signature": "(self, pattern: str, showResults: bool = False) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetListOfPrices", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetListOfPrices", "type": "function", "doc": "list of dictionaries with all found instruments.
\n
This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation!\nSee limits: https://tinkoff.github.io/investAPI/limits/\nIf pricesFile string is not empty then also save information to this file.
True then print to console, if False - print only to file.\n\n", "signature": "(self, instruments: list = None, showPrices: bool = False) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPortfolio", "type": "function", "doc": "list of instruments looks like this:
\niList = [{some ticker info, \"currentPrice\": {current prices}}, {...}, ...]\n One item is dict returned bySearchByTicker()orSearchByFIGI()methods.
Requesting current actual user's portfolio.\nREST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPositions", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPositions", "type": "function", "doc": "dictionary with user's portfolio.
\n
Requesting current open positions in currencies and instruments.\nREST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPendingOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPendingOrders", "type": "function", "doc": "dictionary with open positions by instruments.
\n
Requesting current actual pending orders.\nREST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders
\n\n\n\n", "signature": "(self) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestStopOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestStopOrders", "type": "function", "doc": "list of dictionaries with pending orders.
\n
Requesting current actual stop orders.\nREST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders
\n\n\n\n", "signature": "(self) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Overview", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Overview", "type": "function", "doc": "list of dictionaries with stop orders.
\n
Get portfolio: all open positions, orders and some statistics for defined accountId.\nIf overviewFile is define then also save information to file.
False then only dictionary returns, if True then show more debug information.\n\n", "signature": "(self, showStatistics: bool = False) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Deals", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Deals", "type": "function", "doc": "dictionary with client's raw portfolio and some statistics.
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Returns history operations between two given dates.\nIf reportFile string is not empty then also save human-readable report.\nShows some statistical data of closed positions.
GetDatesAsString() methodGetDatesAsString() methodTrue then also print all records to the console.False then remove information about cancelled operations from the deals report.\n\n", "signature": "(\n self,\n start: str = None,\n end: str = None,\n printDeals: bool = False,\n showCancelled: bool = True\n) -> tuple", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.History", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.History", "type": "function", "doc": "original list of dictionaries with history of deals records from API (\"operations\" key):\n https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations\n and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc.
\n
This method returns last history candles of the current instrument defined by ticker.\nIf historyFile is not None then method save history to this file, otherwise return only pandas dataframe.\nhistoryLength define how many candles returns from past to current date.\nhistoryInterval define candle interval. Available values are strings: \"1min\", \"2min\", \"3min\", \"5min\",\n\"10min\", \"15min\", \"30min\", \"hour\", \"day\", \"week\", \"month\". Default: \"hour\".\nMaximum requested history date in the past: 1970.01.02 03:45
\n\n", "signature": "(self, onlyMissing: bool = False)", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Trade", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Trade", "type": "function", "doc": "pandas dataframe with prices history. Columns:
\ndate,time,open,high,low,close,volume.
Universal method to create market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() docstring. More simple methods than Trade() are Buy() and Sell().
targetPrice in self.Order().targetPrice in self.Order().%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n operation: str,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Buy", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Buy", "type": "function", "doc": "JSON with response from broker server.
\n
More simple method than Trade(). Create Buy market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() and Trade() docstrings.
%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Sell", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Sell", "type": "function", "doc": "JSON with response from broker server.
\n
More simple method than Trade(). Create Sell market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() and Trade() docstrings.
%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseTrades", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseTrades", "type": "function", "doc": "JSON with response from broker server.
\n
Close position of given instruments.
\n\nOverview() method.\n This avoids unnecessary downloading data from the server.Close all positions of given instruments with defined type.
\n\nOverview() method.\n This avoids unnecessary downloading data from the server.Universal method to create market or limit orders with all available parameters.\nSee more simple methods: BuyLimit(), BuyStop(), SellLimit(), SellStop().
If orderType is \"Limit\" then create pending limit-order below current price if operation is \"Buy\" and above\ncurrent price if operation is \"Sell\". A limit order has no expiration date, it lasts until the end of the trading day.
\n\nWarning! If you try to create limit-order above current price if \"Buy\" or below current price if \"Sell\"\nthen broker immediately open market order as you can do simple --buy or --sell operations!
\n\nIf orderType is \"Stop\" then creates stop-order with any direction \"Buy\" or \"Sell\".\nWhen current price will go up or down to target price value then broker opens a limit order.\nStop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter.
\n\nOnly one attempt and no retry for opens order. If network issue occurred you can create new request.
\n\n%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server. This parameter only makes sense for stop-order.\n A limit order has no expiration date, it lasts until the end of the trading day.\n\n", "signature": "(\n self,\n operation: str,\n orderType: str,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.BuyLimit", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.BuyLimit", "type": "function", "doc": "JSON with response from broker server.
\n
Create pending Buy limit-order (below current price). You must specify only 2 parameters:\nlots and target price to open buy limit-order. If you try to create buy limit-order above current price then\nbroker immediately open Buy market order, such as if you do simple --buy operation!\nSee also: Order() docstring.
\n\n", "signature": "(self, lots: int, targetPrice: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.BuyStop", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.BuyStop", "type": "function", "doc": "JSON with response from broker server.
\n
Create Buy stop-order. You must specify at least 2 parameters: lots target price to open buy stop-order.\nIn additional you can specify 3 parameters for buy stop-order: limit price >=0, stop type = Limit|SL|TP,\nexpiration date = Undefined|%%Y-%%m-%%d %%H:%%M:%%S. When current price will go up or down to\ntarget price value then broker opens a limit order. See also: Order() docstring.
%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server.\n\n", "signature": "(\n self,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SellLimit", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SellLimit", "type": "function", "doc": "JSON with response from broker server.
\n
Create pending Sell limit-order (above current price). You must specify only 2 parameters:\nlots and target price to open sell limit-order. If you try to create sell limit-order below current price then\nbroker immediately open Sell market order, such as if you do simple --sell operation!\nSee also: Order() docstring.
\n\n", "signature": "(self, lots: int, targetPrice: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SellStop", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SellStop", "type": "function", "doc": "JSON with response from broker server.
\n
Create Sell stop-order. You must specify at least 2 parameters: lots target price to open sell stop-order.\nIn additional you can specify 3 parameters for sell stop-order: limit price >=0, stop type = Limit|SL|TP,\nexpiration date = Undefined|%%Y-%%m-%%d %%H:%%M:%%S. When current price will go up or down to\ntarget price value then broker opens a limit order. See also: Order() docstring.
%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server.\n\n", "signature": "(\n self,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseOrders", "type": "function", "doc": "JSON with response from broker server.
\n
Cancel order or list of orders by its orderId or stopOrderId.
orderId or stopOrderId.Gets a list of open pending and stop orders and cancel it all.
\n", "signature": "(self) -> None", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseAll", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseAll", "type": "function", "doc": "Close all available (not blocked) opened trades and orders.
\n\nAlso you can select one or more keywords case insensitive:\norders, shares, bonds, etfs and futures from TKS_INSTRUMENTS enum to specify trades type.
Currency positions you must closes manually using buy or sell operations, CloseTrades() or CloseAllTrades() methods.
Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders.
\n\n{\"lots\": \"L_int,...\", \"prices\": \"P_float,...\"} where\n \"lots\" key: one or more lot values (integer numbers) to open with every limit-order\n \"prices\" key: one or more prices to open limit-orders\n Counts of values in lots and prices lists must be equals!\n\n", "signature": "(operation, **inputParameters)", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.IsInPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.IsInPortfolio", "type": "function", "doc": "list of dictionaries with all lots and prices to open orders that looks like this
\n[{\"lot\": lots_1, \"price\": price_1}, {...}, ...]
Checks if instrument is in the user's portfolio. Instrument must be defined by ticker (highly priority) or figi.
None, then requests portfolio from Overview() method.\n\n", "signature": "(self, portfolio: dict = None) -> bool", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetInstrumentFromPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetInstrumentFromPortfolio", "type": "function", "doc": "\n
Trueif portfolio contains open position with given instrument,Falseotherwise.
Returns instrument is in the user's portfolio if it presents there.\nInstrument must be defined by ticker (highly priority) or figi.
None, then requests portfolio from Overview() method.\n\n", "signature": "(self, portfolio: dict = None) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.Args", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "Args", "type": "class", "doc": "dict with instrument if portfolio contains open position with this instrument,
\nNoneotherwise.
If Main() function is imported as module, then this class used to convert arguments from **kwargs as object.
Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/
\n", "signature": "()", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.Main", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "Main", "type": "function", "doc": "Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command.
\n\nSee examples: https://tim55667757.github.io/TKSBrokerAPI/
\n", "signature": "(**kwargs)", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSEnums", "modulename": "tksbrokerapi.TKSEnums", "type": "module", "doc": "Module contains a lot of constants from enums sections of Tinkoff Open API documentation.
\n\nAbout Tinkoff Invest API: https://tinkoff.github.io/investAPI/
\n\nTinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/
\n"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_INSTRUMENTS", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_INSTRUMENTS", "type": "variable", "doc": "Type of instrument for trade methods must be only one of supported types, listed in this constant. Default: [\"Currencies\", \"Shares\", \"Bonds\", \"Etfs\", \"Futures\"]
Some aliases instead official tickers for using in CLI. For example, you can use \"USD\" instead of \"USD000UTSTOM\".
How many minutes in interval and maximum count of candles in one history block returns by Tinkoff API in one request.\nSee more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles
\n", "default_value": " = {'1min': {'minutes': 1, 'maxCandles': 1439}, '2min': {'minutes': 2, 'maxCandles': 719}, '3min': {'minutes': 3, 'maxCandles': 479}, '5min': {'minutes': 5, 'maxCandles': 287}, '10min': {'minutes': 10, 'maxCandles': 143}, '15min': {'minutes': 15, 'maxCandles': 95}, '30min': {'minutes': 30, 'maxCandles': 47}, 'hour': {'minutes': 60, 'maxCandles': 167}, 'day': {'minutes': 1440, 'maxCandles': 365}, 'week': {'minutes': 10080, 'maxCandles': 104}, 'month': {'minutes': 43200, 'maxCandles': 119}}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_TRADING_STATUSES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_TRADING_STATUSES", "type": "variable", "doc": "Security Trading Status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#securitytradingstatus
\n", "default_value": " = {'SECURITY_TRADING_STATUS_UNSPECIFIED': 'Trading status undefined', 'SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING': 'Not available for trading', 'SECURITY_TRADING_STATUS_OPENING_PERIOD': 'Trade opening period', 'SECURITY_TRADING_STATUS_CLOSING_PERIOD': 'Trade closing period', 'SECURITY_TRADING_STATUS_BREAK_IN_TRADING': 'Break in trading', 'SECURITY_TRADING_STATUS_NORMAL_TRADING': 'Normal trading', 'SECURITY_TRADING_STATUS_CLOSING_AUCTION': 'Closing auction', 'SECURITY_TRADING_STATUS_DARK_POOL_AUCTION': 'Large package auction', 'SECURITY_TRADING_STATUS_DISCRETE_AUCTION': 'Discrete auction', 'SECURITY_TRADING_STATUS_OPENING_AUCTION_PERIOD': 'Opening auction', 'SECURITY_TRADING_STATUS_TRADING_AT_CLOSING_AUCTION_PRICE': 'Trading period at the closing auction price', 'SECURITY_TRADING_STATUS_SESSION_ASSIGNED': 'Session assigned', 'SECURITY_TRADING_STATUS_SESSION_CLOSE': 'Session closed', 'SECURITY_TRADING_STATUS_SESSION_OPEN': 'Session is open', 'SECURITY_TRADING_STATUS_DEALER_NORMAL_TRADING': \"Broker's internal liquidity mode trading\", 'SECURITY_TRADING_STATUS_DEALER_BREAK_IN_TRADING': \"Break in trading in the broker's internal liquidity mode\", 'SECURITY_TRADING_STATUS_DEALER_NOT_AVAILABLE_FOR_TRADING': \"Broker's internal liquidity mode is not available\"}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_OPERATION_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_OPERATION_TYPES", "type": "variable", "doc": "Operation type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationtype
\n", "default_value": " = {'OPERATION_TYPE_UNSPECIFIED': 'The operation type is not defined', 'OPERATION_TYPE_INPUT': 'Deposit on broker account', 'OPERATION_TYPE_BOND_TAX': 'Withholding personal income tax on bond coupons', 'OPERATION_TYPE_OUTPUT_SECURITIES': 'Securities output', 'OPERATION_TYPE_OVERNIGHT': 'Overnight REPO income', 'OPERATION_TYPE_TAX': 'Tax withholding', 'OPERATION_TYPE_BOND_REPAYMENT_FULL': 'Full bond redemption', 'OPERATION_TYPE_SELL_CARD': 'Sell securities from the card', 'OPERATION_TYPE_DIVIDEND_TAX': 'Withholding tax on dividends', 'OPERATION_TYPE_OUTPUT': 'Withdrawals', 'OPERATION_TYPE_BOND_REPAYMENT': 'Bonds partial redemption', 'OPERATION_TYPE_TAX_CORRECTION': 'Tax correction', 'OPERATION_TYPE_SERVICE_FEE': 'Brokerage account maintenance fee deduction', 'OPERATION_TYPE_BENEFIT_TAX': 'Withholding tax for material benefits', 'OPERATION_TYPE_MARGIN_FEE': 'Withholding commission for an uncovered position', 'OPERATION_TYPE_BUY': 'Buy securities', 'OPERATION_TYPE_BUY_CARD': 'Buy securities from a card', 'OPERATION_TYPE_INPUT_SECURITIES': 'Transfer securities from another depository', 'OPERATION_TYPE_SELL_MARGIN': 'Sell (by margin call)', 'OPERATION_TYPE_BROKER_FEE': 'Operation fee deduction', 'OPERATION_TYPE_BUY_MARGIN': 'Buy (by margin call)', 'OPERATION_TYPE_DIVIDEND': 'Dividends income', 'OPERATION_TYPE_SELL': 'Sell securities', 'OPERATION_TYPE_COUPON': 'Coupons income', 'OPERATION_TYPE_SUCCESS_FEE': 'Success fee deduction', 'OPERATION_TYPE_DIVIDEND_TRANSFER': 'Transfer of dividend income', 'OPERATION_TYPE_ACCRUING_VARMARGIN': 'Variation margin crediting', 'OPERATION_TYPE_WRITING_OFF_VARMARGIN': 'Withholding variation margin', 'OPERATION_TYPE_DELIVERY_BUY': 'Buy (futures contract expired)', 'OPERATION_TYPE_DELIVERY_SELL': 'Sell (futures contract expired)', 'OPERATION_TYPE_TRACK_MFEE': 'Autotrack account management fee', 'OPERATION_TYPE_TRACK_PFEE': 'Pay per result on auto follow score', 'OPERATION_TYPE_TAX_PROGRESSIVE': 'Tax withholding at the rate of 15%', 'OPERATION_TYPE_BOND_TAX_PROGRESSIVE': 'Withholding tax on coupons at the rate of 15%', 'OPERATION_TYPE_DIVIDEND_TAX_PROGRESSIVE': 'Withholding tax on dividends at the rate of 15%', 'OPERATION_TYPE_BENEFIT_TAX_PROGRESSIVE': 'Withholding tax for material benefits at the rate of 15%', 'OPERATION_TYPE_TAX_CORRECTION_PROGRESSIVE': 'Tax correction at the rate of 15%', 'OPERATION_TYPE_TAX_REPO_PROGRESSIVE': 'Withholding tax on refunds on REPO transactions at the rate of 15%', 'OPERATION_TYPE_TAX_REPO': 'Tax withholding on REPO trade refunds', 'OPERATION_TYPE_TAX_REPO_HOLD': 'Tax hold on REPO transactions', 'OPERATION_TYPE_TAX_REPO_REFUND': 'Tax refund on REPO transactions', 'OPERATION_TYPE_TAX_REPO_HOLD_PROGRESSIVE': 'Withholding tax on REPO transactions at the rate of 15%', 'OPERATION_TYPE_TAX_REPO_REFUND_PROGRESSIVE': 'Tax refund on REPO transactions at the rate of 15%', 'OPERATION_TYPE_DIV_EXT': 'Payout dividends to the card', 'OPERATION_TYPE_TAX_CORRECTION_COUPON': 'Coupon tax correction'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_OPERATION_STATES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_OPERATION_STATES", "type": "variable", "doc": "Operation state enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationstate
\n", "default_value": " = {'OPERATION_STATE_UNSPECIFIED': '! Unknown', 'OPERATION_STATE_EXECUTED': '\u221a Executed', 'OPERATION_STATE_CANCELED': '\u00d7 Canceled'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_DIRECTIONS", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_DIRECTIONS", "type": "variable", "doc": "Order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderdirection
\n", "default_value": " = {'ORDER_DIRECTION_UNSPECIFIED': 'Undefined', 'ORDER_DIRECTION_BUY': '\u2191 Buy', 'ORDER_DIRECTION_SELL': '\u2193 Sell'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_DIRECTIONS", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_DIRECTIONS", "type": "variable", "doc": "Stop-order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderdirection
\n", "default_value": " = {'STOP_ORDER_DIRECTION_UNSPECIFIED': 'Undefined', 'STOP_ORDER_DIRECTION_BUY': '\u2191 Buy', 'STOP_ORDER_DIRECTION_SELL': '\u2193 Sell'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_TYPES", "type": "variable", "doc": "Order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#ordertype
\n", "default_value": " = {'ORDER_TYPE_UNSPECIFIED': 'Undefined', 'ORDER_TYPE_LIMIT': 'Limit', 'ORDER_TYPE_MARKET': 'Market'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_TYPES", "type": "variable", "doc": "Stop-order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stopordertype
\n", "default_value": " = {'STOP_ORDER_TYPE_UNSPECIFIED': 'Undefined', 'STOP_ORDER_TYPE_TAKE_PROFIT': 'Take profit', 'STOP_ORDER_TYPE_STOP_LOSS': 'Stop loss', 'STOP_ORDER_TYPE_STOP_LIMIT': 'Stop limit'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_STATES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_STATES", "type": "variable", "doc": "Order status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderexecutionreportstatus
\n", "default_value": " = {'EXECUTION_REPORT_STATUS_UNSPECIFIED': '! Unknown', 'EXECUTION_REPORT_STATUS_FILL': 'Performed', 'EXECUTION_REPORT_STATUS_REJECTED': 'Rejected', 'EXECUTION_REPORT_STATUS_CANCELLED': 'Cancelled', 'EXECUTION_REPORT_STATUS_NEW': 'New order', 'EXECUTION_REPORT_STATUS_PARTIALLYFILL': 'Partially filled'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_EXPIRATION_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_EXPIRATION_TYPES", "type": "variable", "doc": "Expiration type of stop-orders enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderexpirationtype
\n", "default_value": " = {'STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED': 'Undefined', 'STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL': 'Until cancel', 'STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE': 'Until date'}"}, {"fullname": "tksbrokerapi.UniLogger", "modulename": "tksbrokerapi.UniLogger", "type": "module", "doc": "This module init standard python logging system with some of pre-defined parameters,\ne.g. debug level for log-file, info level for console, log-rotate and so on.
\n"}, {"fullname": "tksbrokerapi.UniLogger.SetLevel", "modulename": "tksbrokerapi.UniLogger", "qualname": "SetLevel", "type": "function", "doc": "This procedure setting up UniLogger verbosity level.
\n", "signature": "(vLevel='ERROR')", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter", "type": "class", "doc": "Class using to set up log level filtering.
\n", "bases": "logging.Filter"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter.__init__", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter.__init__", "type": "function", "doc": "Initialize a filter.
\n\nInitialize with the name of the logger which, together with its\nchildren, will have its events allowed through the filter. If no\nname is specified, allow every event.
\n", "signature": "(self, level)", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter.filter", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter.filter", "type": "function", "doc": "Determine if the specified record is to be logged.
\n\nIs the specified record to be logged? Returns 0 for no, nonzero for\nyes. If deemed appropriate, the record may be modified in-place.
\n", "signature": "(self, record)", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.EnableLogger", "modulename": "tksbrokerapi.UniLogger", "qualname": "EnableLogger", "type": "function", "doc": "Adding new file logger with rotation.
\n", "signature": "(\n logFile,\n parentHandler=Disable given file logger.
\n", "signature": "(handler, parentHandler=TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol.\nIt can view history, orders and market information. Also, you can open orders and trades.
\n\nIf you run this module as CLI program then it realizes simple logic: receiving a lot of options and execute one command.\nSee examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples
\n\nUsed constants are in the TKSEnums module: https://tim55667757.github.io/TKSBrokerAPI/docs/tksbrokerapi/TKSEnums.html
\n\nAbout Tinkoff Invest API: https://tinkoff.github.io/investAPI/
\n\nTinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/
\n"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.NanoToFloat", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "NanoToFloat", "type": "function", "doc": "Convert number in nano-view mode with string parameter units and integer parameter nano to float view. Examples:
NanoToFloat(units=\"2\", nano=500000000) -> 2.5
NanoToFloat(units=\"0\", nano=50000000) -> 0.05
\n\n", "signature": "(units: str, nano: int) -> float", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.FloatToNano", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "FloatToNano", "type": "function", "doc": "float view of number
\n
Convert float number to nano-type view: dictionary with string units and integer nano parameters {\"units\": \"string\", \"nano\": integer}. Examples:
FloatToNano(number=2.5) -> {\"units\": \"2\", \"nano\": 500000000}
FloatToNano(number=0.05) -> {\"units\": \"0\", \"nano\": 50000000}
\n\n", "signature": "(number: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.GetDatesAsString", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "GetDatesAsString", "type": "function", "doc": "nano-type view of number:
\n{\"units\": \"string\", \"nano\": integer}
Create tuple of date and time strings with timezone parsed from user-friendly date.
\n\nUser dates format must be like: %Y-%m-%d, e.g. 2020-02-03 (3 Feb, 2020).
Example input: \"2022-06-01\" \"2022-06-20\" -> output: (\"2022-06-01T00:00:00Z\", \"2022-06-20T23:59:59Z\")\nAn error exception will occur if input date has incorrect format.
\n\nIf start=None, end=None then return dates from yesterday to the end of the day.\nIf start=some_date_1, end=None then return dates from some_date_1 to the end of the day.\nIf start=some_date_1, end=some_date_2 then return dates from start of some_date_1 to end of some_date_2.\nStart day may be negative integer numbers: -1, -2, -3 - how many days ago.
Also, you can use keywords for start if end=None:\ntoday (from 00:00:00 to the end of current day),\nyesterday (-1 day from 00:00:00 to 23:59:59),\nweek (-7 day from 00:00:00 to the end of current day),\nmonth (-30 day from 00:00:00 to the end of current day),\nyear (-365 day from 00:00:00 to the end of current day),
\n\n", "signature": "(start: str = None, end: str = None) -> tuple", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer", "type": "class", "doc": "tuple with 2 strings
\n(start, end)dates in UTC ISO time format%Y-%m-%dT%H:%M:%SZfor OpenAPI.\n See date and time format here:TKSEnums.TKS_DATE_TIME_FORMAT.\n Example:(\"2022-06-01T00:00:00Z\", \"2022-06-20T23:59:59Z\"). Second string is the end of the last day.
This class implements methods to work with Tinkoff broker server.
\n\nExamples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/
\n\nAbout token: https://tinkoff.github.io/investAPI/token/
Main class init.
\n\nTKS_API_TOKEN.TKS_ACCOUNT_ID.Listing() method auto-update this variable, or you can use dump file.\n For future use, you can save this variable and use as iList to avoid permanent downloads\n from the server. Also, you can try DumpInstruments() method.dump.json with raw data to use instead of iList if iList set as None.\n True by default. Cache is auto-update if new day has come.\n If iList is not None then it value has higher priority than dump.json and useCache.\n If you don't want to use cache and always updates raw data then set useCache=False.Some aliases instead official tickers. See TKSEnums.TKS_TICKER_ALIASES
String with ticker, e.g. GOOGL. Use alias for USD000UTSTOM simple as USD, EUR_RUB__TOM as EUR etc. More tickers aliases here: TKSEnums.TKS_TICKER_ALIASES.
String with FIGI, e.g. ticker GOOGL has FIGI BBG009S39JX6
Depth of Market (DOM) can be >= 1. Default: 1. It used with --price key to showing DOM with current prices for givens ticker or FIGI.
Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest
\n\nSee also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1
\n"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.timeout", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.timeout", "type": "variable", "doc": "Server operations timeout in seconds. Default: 15
Headers which send in every request to broker server. Default: {\"Content-Type\": \"application/json\", \"accept\": \"application/json\", \"Authorization\": \"Bearer {your_token}\"}
Request body which send to broker server. Default: None
Full path to the output file where history candles will be saved or updated. Default: None, it mean that returns only pandas dataframe when you request History() method.
Filename where full broker's instruments list will be saved. Default: instruments.md
Filename with all found instruments searched by part of its ticker, FIGI or name. Default: search-results.md
Filename where prices of selected instruments will be saved. Default: prices.md
Filename where current portfolio, open trades and orders will be saved. Default: overview.md
Filename where short digest of the portfolio status will be saved. Default: overview-digest.md
Filename where only open positions, without everything else will be saved. Default: overview-positions.md
Filename where open limits and stop orders will be saved. Default: overview-orders.md
Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default: overview-analytics.md
Filename where history of deals and trade statistics will be saved. Default: deals.md
Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: dump.json
Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating.
\n\nSee also: Listing() and DumpInstruments().
Send GET or POST request to broker server and receive JSON object.
\n\nself.header: must be define with dictionary of headers.\nself.body: if define then used as request body. None by default.\nself.timeout: global request timeout, 15 seconds by default.
\n\nTrue then print more debug information.\n\n", "signature": "(\n self,\n url: str,\n reqType: str = 'GET',\n retry: int = 3,\n pause: int = 5,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Listing", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Listing", "type": "function", "doc": "response JSON (dictionary) from broker.
\n
Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server.
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.DumpInstruments", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.DumpInstruments", "type": "function", "doc": "Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures.
\n
Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server\nusing Listing() method. If iListDumpFile string is not empty then also save information to this file.
True then at first updates data with Listing() method, otherwise just saves exist iList.\n\n", "signature": "(self, forceUpdate: bool = True) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.ShowInstrumentInfo", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.ShowInstrumentInfo", "type": "function", "doc": "serialized JSON formatted
\nstrwith full data of instruments, also saved to the--outputfile.
Show information about one instrument defined by json data and prints it in Markdown format.
\n\niJSON = self.iList[\"Shares\"][self.ticker]True then also printing information about instrument and its current price.\n\n", "signature": "(iJSON: dict, printInfo: bool = False) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchByTicker", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchByTicker", "type": "function", "doc": "multilines text in Markdown format with information about one instrument.
\n
Search and return raw broker's information about instrument by it's ticker.\nticker must be define! If debug=True then print all debug messages.
False then do not request current price of instrument (because this is long operation).False then do not run ShowInstrumentInfo() method and do not print info to the console.True then print all debug console messages.\n\n", "signature": "(\n self,\n requestPrice: bool = False,\n showInfo: bool = False,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchByFIGI", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchByFIGI", "type": "function", "doc": "JSON formatted data with information about instrument.
\n
Search and return raw broker's information about instrument by it's FIGI.\nfigi must be define! If debug=True then print all debug messages.
False then do not request current price of instrument (it's long operation).False then do not run ShowInstrumentInfo() method and do not print info to the console.True then print all debug console messages.\n\n", "signature": "(\n self,\n requestPrice: bool = False,\n showInfo: bool = False,\n debug: bool = False\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetCurrentPrices", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetCurrentPrices", "type": "function", "doc": "JSON formatted data with information about instrument.
\n
Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record:\n{\"buy\": [], \"sell\": [], \"limitUp\": None, \"limitDown\": None, \"lastPrice\": None, \"closePrice\": None}.
True then print DOM.\n\n", "signature": "(self, showPrice: bool = False) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.ShowInstrumentsInfo", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.ShowInstrumentsInfo", "type": "function", "doc": "orders book dict with lists of current buy and sell prices:
\n{\"buy\": [{\"price\": x1, \"quantity\": y1, ...}], \"sell\": [....]}.
This method get and show information about all available broker instruments.\nIf instrumentsFile string is not empty then also save information to this file.
True then print results to console, if False - print only to file.\n\n", "signature": "(self, showInstruments: bool = False) -> str", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SearchInstruments", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SearchInstruments", "type": "function", "doc": "multi-string with all available broker instruments
\n
This method search and show information about instruments by part of its ticker, FIGI or name.\nIf searchResultsFile string is not empty then also save information to this file.
True then print results to console, if False - return list of result only.\n\n", "signature": "(self, pattern: str, showResults: bool = False) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetListOfPrices", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetListOfPrices", "type": "function", "doc": "list of dictionaries with all found instruments.
\n
This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation!\nSee limits: https://tinkoff.github.io/investAPI/limits/\nIf pricesFile string is not empty then also save information to this file.
True then print to console, if False - print only to file.\n\n", "signature": "(self, instruments: list = None, showPrices: bool = False) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPortfolio", "type": "function", "doc": "list of instruments looks like this:
\niList = [{some ticker info, \"currentPrice\": {current prices}}, {...}, ...]\n One item is dict returned bySearchByTicker()orSearchByFIGI()methods.
Requesting current actual user's portfolio.\nREST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPositions", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPositions", "type": "function", "doc": "dictionary with user's portfolio.
\n
Requesting current open positions in currencies and instruments.\nREST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions
\n\n\n\n", "signature": "(self) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestPendingOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestPendingOrders", "type": "function", "doc": "dictionary with open positions by instruments.
\n
Requesting current actual pending orders.\nREST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders
\n\n\n\n", "signature": "(self) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.RequestStopOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.RequestStopOrders", "type": "function", "doc": "list of dictionaries with pending orders.
\n
Requesting current actual stop orders.\nREST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders
\n\n\n\n", "signature": "(self) -> list", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Overview", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Overview", "type": "function", "doc": "list of dictionaries with stop orders.
\n
Get portfolio: all open positions, orders and some statistics for defined accountId.\nIf overviewFile, overviewDigestFile, overviewPositionsFile, overviewOrdersFile, overviewAnalyticsFile\nare defined then also save information to file.
False then only dictionary returns, if True then show more debug information.full - shows full available information about portfolio status (by default),\n positions - shows only open positions,\n digest - show a short digest of the portfolio status,\n analytics - shows only the analytics section and the distribution of the portfolio by various categories,\n orders - shows only sections of open limits and stop orders.\n\n", "signature": "(self, showStatistics: bool = False, details: str = 'full') -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Deals", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Deals", "type": "function", "doc": "dictionary with client's raw portfolio and some statistics.
\n
Returns history operations between two given dates.\nIf reportFile string is not empty then also save human-readable report.\nShows some statistical data of closed positions.
GetDatesAsString() methodGetDatesAsString() methodTrue then also prints all records to the console.False then remove information about cancelled operations from the deals report.\n\n", "signature": "(\n self,\n start: str = None,\n end: str = None,\n printDeals: bool = False,\n showCancelled: bool = True\n) -> tuple", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.History", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.History", "type": "function", "doc": "original list of dictionaries with history of deals records from API (\"operations\" key):\n https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations\n and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc.
\n
This method returns last history candles of the current instrument defined by ticker or figi (FIGI id).
History returned between two given dates: start and end. Minimum requested date in the past is 1970-01-01.\nWarning! Broker server used ISO UTC time by default.
If historyFile is not None then method save history to file, otherwise return only pandas dataframe.\nAlso, historyFile used to update history with onlyMissing parameter.
GetDatesAsString() method.GetDatesAsString() method.\"1min\", \"5min\", \"15min\",\n \"hour\", \"day\". Default: \"hour\".True then add only last missing candles, do not request all history length from start.\n False by default. Warning! History appends only from last candle to current time\n with always update last candle!, by default.True then also prints pandas dataframe to the console.\n\n", "signature": "(\n self,\n start: str = None,\n end: str = None,\n interval: str = 'hour',\n onlyMissing: bool = False,\n csvSep: str = ',',\n printCandles: bool = False\n) -> pandas.core.frame.DataFrame", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Trade", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Trade", "type": "function", "doc": "pandas dataframe with prices history. Headers of columns are defined by default:\n
\n[\"date\", \"time\", \"open\", \"high\", \"low\", \"close\", \"volume\"].
Universal method to create market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() docstring. More simple methods than Trade() are Buy() and Sell().
targetPrice in self.Order().targetPrice in self.Order().%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n operation: str,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Buy", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Buy", "type": "function", "doc": "JSON with response from broker server.
\n
More simple method than Trade(). Create Buy market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() and Trade() docstrings.
%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.Sell", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.Sell", "type": "function", "doc": "JSON with response from broker server.
\n
More simple method than Trade(). Create Sell market order and make deal at the current price. Returns JSON data with response.\nIf tp or sl > 0, then in additional will opens stop-orders with \"TP\" and \"SL\" flags for stopType parameter.
See also: Order() and Trade() docstrings.
%Y-%m-%d %H:%M:%S.\n\n", "signature": "(\n self,\n lots: int = 1,\n tp: float = 0.0,\n sl: float = 0.0,\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseTrades", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseTrades", "type": "function", "doc": "JSON with response from broker server.
\n
Close position of given instruments.
\n\nOverview() method.\n This avoids unnecessary downloading data from the server.Close all positions of given instruments with defined type.
\n\nOverview() method.\n This avoids unnecessary downloading data from the server.Universal method to create market or limit orders with all available parameters.\nSee more simple methods: BuyLimit(), BuyStop(), SellLimit(), SellStop().
If orderType is \"Limit\" then create pending limit-order below current price if operation is \"Buy\" and above\ncurrent price if operation is \"Sell\". A limit order has no expiration date, it lasts until the end of the trading day.
\n\nWarning! If you try to create limit-order above current price if \"Buy\" or below current price if \"Sell\"\nthen broker immediately open market order as you can do simple --buy or --sell operations!
\n\nIf orderType is \"Stop\" then creates stop-order with any direction \"Buy\" or \"Sell\".\nWhen current price will go up or down to target price value then broker opens a limit order.\nStop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter.
\n\nOnly one attempt and no retry for opens order. If network issue occurred you can create new request.
\n\n%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server. This parameter only makes sense for stop-order.\n A limit order has no expiration date, it lasts until the end of the trading day.\n\n", "signature": "(\n self,\n operation: str,\n orderType: str,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.BuyLimit", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.BuyLimit", "type": "function", "doc": "JSON with response from broker server.
\n
Create pending Buy limit-order (below current price). You must specify only 2 parameters:\nlots and target price to open buy limit-order. If you try to create buy limit-order above current price then\nbroker immediately open Buy market order, such as if you do simple --buy operation!\nSee also: Order() docstring.
\n\n", "signature": "(self, lots: int, targetPrice: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.BuyStop", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.BuyStop", "type": "function", "doc": "JSON with response from broker server.
\n
Create Buy stop-order. You must specify at least 2 parameters: lots target price to open buy stop-order.\nIn additional you can specify 3 parameters for buy stop-order: limit price >=0, stop type = Limit|SL|TP,\nexpiration date = Undefined|%%Y-%%m-%%d %%H:%%M:%%S. When current price will go up or down to\ntarget price value then broker opens a limit order. See also: Order() docstring.
%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server.\n\n", "signature": "(\n self,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SellLimit", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SellLimit", "type": "function", "doc": "JSON with response from broker server.
\n
Create pending Sell limit-order (above current price). You must specify only 2 parameters:\nlots and target price to open sell limit-order. If you try to create sell limit-order below current price then\nbroker immediately open Sell market order, such as if you do simple --sell operation!\nSee also: Order() docstring.
\n\n", "signature": "(self, lots: int, targetPrice: float) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.SellStop", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.SellStop", "type": "function", "doc": "JSON with response from broker server.
\n
Create Sell stop-order. You must specify at least 2 parameters: lots target price to open sell stop-order.\nIn additional you can specify 3 parameters for sell stop-order: limit price >=0, stop type = Limit|SL|TP,\nexpiration date = Undefined|%%Y-%%m-%%d %%H:%%M:%%S. When current price will go up or down to\ntarget price value then broker opens a limit order. See also: Order() docstring.
%Y-%m-%d %H:%M:%S.\n This date is converting to UTC format for server.\n\n", "signature": "(\n self,\n lots: int,\n targetPrice: float,\n limitPrice: float = 0.0,\n stopType: str = 'Limit',\n expDate: str = 'Undefined'\n) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseOrders", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseOrders", "type": "function", "doc": "JSON with response from broker server.
\n
Cancel order or list of orders by its orderId or stopOrderId.
orderId or stopOrderId.Gets a list of open pending and stop orders and cancel it all.
\n", "signature": "(self) -> None", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.CloseAll", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.CloseAll", "type": "function", "doc": "Close all available (not blocked) opened trades and orders.
\n\nAlso you can select one or more keywords case insensitive:\norders, shares, bonds, etfs and futures from TKS_INSTRUMENTS enum to specify trades type.
Currency positions you must closes manually using buy or sell operations, CloseTrades() or CloseAllTrades() methods.
Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders.
\n\n{\"lots\": \"L_int,...\", \"prices\": \"P_float,...\"} where\n \"lots\" key: one or more lot values (integer numbers) to open with every limit-order\n \"prices\" key: one or more prices to open limit-orders\n Counts of values in lots and prices lists must be equals!\n\n", "signature": "(operation, **inputParameters)", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.IsInPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.IsInPortfolio", "type": "function", "doc": "list of dictionaries with all lots and prices to open orders that looks like this
\n[{\"lot\": lots_1, \"price\": price_1}, {...}, ...]
Checks if instrument is in the user's portfolio. Instrument must be defined by ticker (highly priority) or figi.
None, then requests portfolio from Overview() method.\n\n", "signature": "(self, portfolio: dict = None) -> bool", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.TinkoffBrokerServer.GetInstrumentFromPortfolio", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "TinkoffBrokerServer.GetInstrumentFromPortfolio", "type": "function", "doc": "\n
Trueif portfolio contains open position with given instrument,Falseotherwise.
Returns instrument is in the user's portfolio if it presents there.\nInstrument must be defined by ticker (highly priority) or figi.
None, then requests portfolio from Overview() method.\n\n", "signature": "(self, portfolio: dict = None) -> dict", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.Args", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "Args", "type": "class", "doc": "dict with instrument if portfolio contains open position with this instrument,
\nNoneotherwise.
If Main() function is imported as module, then this class used to convert arguments from **kwargs as object.
Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/
\n", "signature": "()", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSBrokerAPI.Main", "modulename": "tksbrokerapi.TKSBrokerAPI", "qualname": "Main", "type": "function", "doc": "Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command.
\n\nSee examples: https://tim55667757.github.io/TKSBrokerAPI/
\n", "signature": "(**kwargs)", "funcdef": "def"}, {"fullname": "tksbrokerapi.TKSEnums", "modulename": "tksbrokerapi.TKSEnums", "type": "module", "doc": "Module contains a lot of constants from enums sections of Tinkoff Open API documentation.
\n\nAbout Tinkoff Invest API: https://tinkoff.github.io/investAPI/
\n\nTinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/
\n"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_DATE_TIME_FORMAT", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_DATE_TIME_FORMAT", "type": "variable", "doc": "Date and time string format used by Tinkoff Open API. Default: \"%Y-%m-%dT%H:%M:%SZ\".
Type of instrument for trade methods must be only one of supported types, listed in this constant. Default: [\"Currencies\", \"Shares\", \"Bonds\", \"Etfs\", \"Futures\"]
Some aliases instead official tickers for using in CLI. For example, you can use \"USD\" instead of \"USD000UTSTOM\".
Candles interval for requesting history data with Tinkoff API. Current available keys are \"1min\", \"5min\", \"15min\", \"hour\", \"day\".\nSee more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles
Security Trading Status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#securitytradingstatus
\n", "default_value": " = {'SECURITY_TRADING_STATUS_UNSPECIFIED': 'Trading status undefined', 'SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING': 'Not available for trading', 'SECURITY_TRADING_STATUS_OPENING_PERIOD': 'Trade opening period', 'SECURITY_TRADING_STATUS_CLOSING_PERIOD': 'Trade closing period', 'SECURITY_TRADING_STATUS_BREAK_IN_TRADING': 'Break in trading', 'SECURITY_TRADING_STATUS_NORMAL_TRADING': 'Normal trading', 'SECURITY_TRADING_STATUS_CLOSING_AUCTION': 'Closing auction', 'SECURITY_TRADING_STATUS_DARK_POOL_AUCTION': 'Large package auction', 'SECURITY_TRADING_STATUS_DISCRETE_AUCTION': 'Discrete auction', 'SECURITY_TRADING_STATUS_OPENING_AUCTION_PERIOD': 'Opening auction', 'SECURITY_TRADING_STATUS_TRADING_AT_CLOSING_AUCTION_PRICE': 'Trading period at the closing auction price', 'SECURITY_TRADING_STATUS_SESSION_ASSIGNED': 'Session assigned', 'SECURITY_TRADING_STATUS_SESSION_CLOSE': 'Session closed', 'SECURITY_TRADING_STATUS_SESSION_OPEN': 'Session is open', 'SECURITY_TRADING_STATUS_DEALER_NORMAL_TRADING': \"Broker's internal liquidity mode trading\", 'SECURITY_TRADING_STATUS_DEALER_BREAK_IN_TRADING': \"Break in trading in the broker's internal liquidity mode\", 'SECURITY_TRADING_STATUS_DEALER_NOT_AVAILABLE_FOR_TRADING': \"Broker's internal liquidity mode is not available\"}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_OPERATION_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_OPERATION_TYPES", "type": "variable", "doc": "Operation type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationtype
\n", "default_value": " = {'OPERATION_TYPE_UNSPECIFIED': 'The operation type is not defined', 'OPERATION_TYPE_INPUT': 'Deposit on broker account', 'OPERATION_TYPE_BOND_TAX': 'Withholding personal income tax on bond coupons', 'OPERATION_TYPE_OUTPUT_SECURITIES': 'Securities output', 'OPERATION_TYPE_OVERNIGHT': 'Overnight REPO income', 'OPERATION_TYPE_TAX': 'Tax withholding', 'OPERATION_TYPE_BOND_REPAYMENT_FULL': 'Full bond redemption', 'OPERATION_TYPE_SELL_CARD': 'Sell securities from the card', 'OPERATION_TYPE_DIVIDEND_TAX': 'Withholding tax on dividends', 'OPERATION_TYPE_OUTPUT': 'Withdrawals', 'OPERATION_TYPE_BOND_REPAYMENT': 'Bonds partial redemption', 'OPERATION_TYPE_TAX_CORRECTION': 'Tax correction', 'OPERATION_TYPE_SERVICE_FEE': 'Brokerage account maintenance fee deduction', 'OPERATION_TYPE_BENEFIT_TAX': 'Withholding tax for material benefits', 'OPERATION_TYPE_MARGIN_FEE': 'Withholding commission for an uncovered position', 'OPERATION_TYPE_BUY': 'Buy securities', 'OPERATION_TYPE_BUY_CARD': 'Buy securities from a card', 'OPERATION_TYPE_INPUT_SECURITIES': 'Transfer securities from another depository', 'OPERATION_TYPE_SELL_MARGIN': 'Sell (by margin call)', 'OPERATION_TYPE_BROKER_FEE': 'Operation fee deduction', 'OPERATION_TYPE_BUY_MARGIN': 'Buy (by margin call)', 'OPERATION_TYPE_DIVIDEND': 'Dividends income', 'OPERATION_TYPE_SELL': 'Sell securities', 'OPERATION_TYPE_COUPON': 'Coupons income', 'OPERATION_TYPE_SUCCESS_FEE': 'Success fee deduction', 'OPERATION_TYPE_DIVIDEND_TRANSFER': 'Transfer of dividend income', 'OPERATION_TYPE_ACCRUING_VARMARGIN': 'Variation margin crediting', 'OPERATION_TYPE_WRITING_OFF_VARMARGIN': 'Withholding variation margin', 'OPERATION_TYPE_DELIVERY_BUY': 'Buy (futures contract expired)', 'OPERATION_TYPE_DELIVERY_SELL': 'Sell (futures contract expired)', 'OPERATION_TYPE_TRACK_MFEE': 'Autotrack account management fee', 'OPERATION_TYPE_TRACK_PFEE': 'Pay per result on auto follow score', 'OPERATION_TYPE_TAX_PROGRESSIVE': 'Tax withholding at the rate of 15%', 'OPERATION_TYPE_BOND_TAX_PROGRESSIVE': 'Withholding tax on coupons at the rate of 15%', 'OPERATION_TYPE_DIVIDEND_TAX_PROGRESSIVE': 'Withholding tax on dividends at the rate of 15%', 'OPERATION_TYPE_BENEFIT_TAX_PROGRESSIVE': 'Withholding tax for material benefits at the rate of 15%', 'OPERATION_TYPE_TAX_CORRECTION_PROGRESSIVE': 'Tax correction at the rate of 15%', 'OPERATION_TYPE_TAX_REPO_PROGRESSIVE': 'Withholding tax on refunds on REPO transactions at the rate of 15%', 'OPERATION_TYPE_TAX_REPO': 'Tax withholding on REPO trade refunds', 'OPERATION_TYPE_TAX_REPO_HOLD': 'Tax hold on REPO transactions', 'OPERATION_TYPE_TAX_REPO_REFUND': 'Tax refund on REPO transactions', 'OPERATION_TYPE_TAX_REPO_HOLD_PROGRESSIVE': 'Withholding tax on REPO transactions at the rate of 15%', 'OPERATION_TYPE_TAX_REPO_REFUND_PROGRESSIVE': 'Tax refund on REPO transactions at the rate of 15%', 'OPERATION_TYPE_DIV_EXT': 'Payout dividends to the card', 'OPERATION_TYPE_TAX_CORRECTION_COUPON': 'Coupon tax correction'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_OPERATION_STATES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_OPERATION_STATES", "type": "variable", "doc": "Operation state enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationstate
\n", "default_value": " = {'OPERATION_STATE_UNSPECIFIED': '! Unknown', 'OPERATION_STATE_EXECUTED': '\u221a Executed', 'OPERATION_STATE_CANCELED': '\u00d7 Canceled'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_DIRECTIONS", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_DIRECTIONS", "type": "variable", "doc": "Order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderdirection
\n", "default_value": " = {'ORDER_DIRECTION_UNSPECIFIED': 'Undefined', 'ORDER_DIRECTION_BUY': '\u2191 Buy', 'ORDER_DIRECTION_SELL': '\u2193 Sell'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_DIRECTIONS", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_DIRECTIONS", "type": "variable", "doc": "Stop-order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderdirection
\n", "default_value": " = {'STOP_ORDER_DIRECTION_UNSPECIFIED': 'Undefined', 'STOP_ORDER_DIRECTION_BUY': '\u2191 Buy', 'STOP_ORDER_DIRECTION_SELL': '\u2193 Sell'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_TYPES", "type": "variable", "doc": "Order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#ordertype
\n", "default_value": " = {'ORDER_TYPE_UNSPECIFIED': 'Undefined', 'ORDER_TYPE_LIMIT': 'Limit', 'ORDER_TYPE_MARKET': 'Market'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_TYPES", "type": "variable", "doc": "Stop-order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stopordertype
\n", "default_value": " = {'STOP_ORDER_TYPE_UNSPECIFIED': 'Undefined', 'STOP_ORDER_TYPE_TAKE_PROFIT': 'Take profit', 'STOP_ORDER_TYPE_STOP_LOSS': 'Stop loss', 'STOP_ORDER_TYPE_STOP_LIMIT': 'Stop limit'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_ORDER_STATES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_ORDER_STATES", "type": "variable", "doc": "Order status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderexecutionreportstatus
\n", "default_value": " = {'EXECUTION_REPORT_STATUS_UNSPECIFIED': '! Unknown', 'EXECUTION_REPORT_STATUS_FILL': 'Performed', 'EXECUTION_REPORT_STATUS_REJECTED': 'Rejected', 'EXECUTION_REPORT_STATUS_CANCELLED': 'Cancelled', 'EXECUTION_REPORT_STATUS_NEW': 'New order', 'EXECUTION_REPORT_STATUS_PARTIALLYFILL': 'Partially filled'}"}, {"fullname": "tksbrokerapi.TKSEnums.TKS_STOP_ORDER_EXPIRATION_TYPES", "modulename": "tksbrokerapi.TKSEnums", "qualname": "TKS_STOP_ORDER_EXPIRATION_TYPES", "type": "variable", "doc": "Expiration type of stop-orders enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderexpirationtype
\n", "default_value": " = {'STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED': 'Undefined', 'STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL': 'Until cancel', 'STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE': 'Until date'}"}, {"fullname": "tksbrokerapi.UniLogger", "modulename": "tksbrokerapi.UniLogger", "type": "module", "doc": "This module init standard python logging system with some of pre-defined parameters,\ne.g. debug level for log-file, info level for console, log-rotate and so on.
\n"}, {"fullname": "tksbrokerapi.UniLogger.SetLevel", "modulename": "tksbrokerapi.UniLogger", "qualname": "SetLevel", "type": "function", "doc": "This procedure setting up UniLogger verbosity level.
\n", "signature": "(vLevel='ERROR')", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter", "type": "class", "doc": "Class using to set up log level filtering.
\n", "bases": "logging.Filter"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter.__init__", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter.__init__", "type": "function", "doc": "Initialize a filter.
\n\nInitialize with the name of the logger which, together with its\nchildren, will have its events allowed through the filter. If no\nname is specified, allow every event.
\n", "signature": "(self, level)", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.LevelFilter.filter", "modulename": "tksbrokerapi.UniLogger", "qualname": "LevelFilter.filter", "type": "function", "doc": "Determine if the specified record is to be logged.
\n\nReturns True if the record should be logged, or False otherwise.\nIf deemed appropriate, the record may be modified in-place.
\n", "signature": "(self, record)", "funcdef": "def"}, {"fullname": "tksbrokerapi.UniLogger.EnableLogger", "modulename": "tksbrokerapi.UniLogger", "qualname": "EnableLogger", "type": "function", "doc": "Adding new file logger with rotation.
\n", "signature": "(\n logFile,\n parentHandler=Disable given file logger.
\n", "signature": "(handler, parentHandler=1# -*- coding: utf-8 -*- - 2# Author: Timur Gilmullin - 3 - 4""" - 5**TKSBrokerAPI** is a python API to work with some methods of Tinkoff Open API using REST protocol. - 6It can view history, orders and market information. Also, you can open orders and trades. - 7 - 8If you run this module as CLI program then it realizes simple logic: receiving a lot of options and execute one command. - 9**See examples**: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples - 10 - 11**Used constants are in the TKSEnums module**: https://tim55667757.github.io/TKSBrokerAPI/docs/tksbrokerapi/TKSEnums.html - 12 - 13About Tinkoff Invest API: https://tinkoff.github.io/investAPI/ - 14 - 15Tinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/ - 16""" - 17 - 18# Copyright (c) 2022 Gilmillin Timur Mansurovich - 19# - 20# Licensed under the Apache License, Version 2.0 (the "License"); - 21# you may not use this file except in compliance with the License. - 22# You may obtain a copy of the License at - 23# - 24# http://www.apache.org/licenses/LICENSE-2.0 - 25# - 26# Unless required by applicable law or agreed to in writing, software - 27# distributed under the License is distributed on an "AS IS" BASIS, - 28# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - 29# See the License for the specific language governing permissions and - 30# limitations under the License. - 31 - 32 - 33import sys - 34import os - 35from argparse import ArgumentParser - 36 - 37from datetime import datetime, timedelta - 38from dateutil.tz import tzlocal, tzutc - 39from time import sleep - 40 - 41import re - 42import json - 43import requests - 44from urllib.parse import quote - 45from multiprocessing import cpu_count - 46from multiprocessing.pool import ThreadPool - 47 - 48import pandas as pd - 49 - 50import UniLogger as uLog - 51import traceback as tb - 52 - 53from TKSEnums import * # a lot of constants from enums sections: https://tinkoff.github.io/investAPI/swagger-ui/ - 54 - 55 - 56# --- Common technical parameters: - 57 - 58uLogger = uLog.UniLogger - 59uLogger.level = 10 # debug level by default - 60uLogger.handlers[0].level = 20 # info level by default for STDOUT - 61 - 62CPU_COUNT = cpu_count() # host's real CPU count - 63CPU_USAGES = CPU_COUNT - 1 if CPU_COUNT > 1 else 1 # how many CPUs will be used for parallel calculations - 64uLogger.debug("Host CPU count: [{}]".format(CPU_COUNT)) - 65 - 66# --- Main constants: - 67 - 68NANO = 0.000000001 # SI-constant nano = 10^-9 - 69 - 70 - 71def NanoToFloat(units: str, nano: int) -> float: - 72 """ - 73 Convert number in nano-view mode with string parameter `units` and integer parameter `nano` to float view. Examples: - 74 - 75 `NanoToFloat(units="2", nano=500000000) -> 2.5` - 76 - 77 `NanoToFloat(units="0", nano=50000000) -> 0.05` - 78 - 79 :param units: integer string or integer parameter that represents the integer part of number - 80 :param nano: integer string or integer parameter that represents the fractional part of number - 81 :return: float view of number - 82 """ - 83 return int(units) + int(nano) * NANO - 84 - 85 - 86def FloatToNano(number: float) -> dict: - 87 """ - 88 Convert float number to nano-type view: dictionary with string `units` and integer `nano` parameters `{"units": "string", "nano": integer}`. Examples: - 89 - 90 `FloatToNano(number=2.5) -> {"units": "2", "nano": 500000000}` - 91 - 92 `FloatToNano(number=0.05) -> {"units": "0", "nano": 50000000}` - 93 - 94 :param number: float number - 95 :return: nano-type view of number: `{"units": "string", "nano": integer}` - 96 """ - 97 splitByPoint = str(number).split(".") - 98 frac = 0 - 99 - 100 if len(splitByPoint) > 1: - 101 if len(splitByPoint[1]) <= 9: - 102 frac = int("{}{}".format( - 103 int(splitByPoint[1]), - 104 "0" * (9 - len(splitByPoint[1])), - 105 )) - 106 - 107 if (number < 0) and (frac > 0): - 108 frac = -frac - 109 - 110 return {"units": str(int(number)), "nano": frac} - 111 - 112 - 113def GetDatesAsString(start: str = None, end: str = None) -> tuple: - 114 """ - 115 If `start=None`, `end=None` then return dates from yesterday to current time. - 116 If `start=some_date_1`, `end=None` then return dates from `some_date_1` to current time. - 117 If `start=some_date_1`, `end=some_date_2` then return dates from `some_date_1` to `some_date_2`. - 118 Start day may be negative integer numbers: `-1`, `-2`, `-3` - how many days ago. - 119 - 120 Also, you can use keywords for start if `dateEnd=None`: - 121 `today` (from 00:00:00 to current time), - 122 `yesterday` (-1 day from 00:00:00 to 23:59:59), - 123 `week` (-7 day from 00:00:00 to current date and time), - 124 `month` (-30 day from 00:00:00 to current date and time), - 125 `year` (-365 day from 00:00:00 to current date and time), - 126 - 127 User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). - 128 - 129 :return: tuple with 2 strings `(start, end)` dates in UTC ISO time format `%Y-%m-%dT%H:%M:%SZ` for OpenAPI. - 130 Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")` - 131 """ - 132 uLogger.debug("Input start day is [{}] (UTC), end day is [{}] (UTC)".format(start, end)) - 133 now = datetime.now(tzutc()) - 134 - 135 # showing statistics between start of the current day and current time: - 136 if start is None or start.lower() == "today": - 137 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - 138 e = now - 139 - 140 # from start of the last day to the end of the last day: - 141 elif start.lower() == "yesterday": - 142 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1) - 143 e = now.replace(hour=23, minute=59, second=59, microsecond=0) - timedelta(days=1) - 144 - 145 # week (-7 day from 00:00:00 to current date and time): - 146 elif start.lower() == "week": - 147 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=7) - 148 e = now - 149 - 150 # month (-30 day from 00:00:00 to current date and time): - 151 elif start.lower() == "month": - 152 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=30) - 153 e = now - 154 - 155 # year (-365 day from 00:00:00 to current date and time): - 156 elif start.lower() == "year": - 157 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=365) - 158 e = now - 159 - 160 # showing statistics from -N days ago to current date and time: - 161 elif start.startswith('-') and start[1:].isdigit(): - 162 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=abs(int(start))) - 163 e = now - 164 - 165 # showing statistics between start day at 00:00:00 and the end day at 23:59:59: - 166 else: - 167 s = datetime.strptime(start, "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()) - 168 e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else now - 169 - 170 # converting to UTC ISO time formatted with Z suffix for Tinkoff Open API: - 171 s = s.strftime("%Y-%m-%dT%H:%M:%SZ") - 172 e = e.strftime("%Y-%m-%dT%H:%M:%SZ") - 173 - 174 uLogger.debug("Tinkoff Open API uses this start day (converted to UTC ISO format, with Z): [{}], and the end day: [{}]".format(s, e)) - 175 - 176 return s, e - 177 - 178 - 179class TinkoffBrokerServer: - 180 """ - 181 This class implements methods to work with Tinkoff broker server. - 182 - 183 Examples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/ - 184 - 185 About `token`: https://tinkoff.github.io/investAPI/token/ - 186 """ - 187 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: - 188 """ - 189 Main class init. - 190 - 191 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. - 192 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. - 193 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. - 194 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. - 195 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. - 196 For future use, you can save this variable and use as `iList` to avoid permanent downloads - 197 from the server. Also, you can try `DumpInstruments()` method. - 198 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. - 199 True by default. Cache is auto-update if new day has come. - 200 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. - 201 If you don't want to use cache and always updates raw data then set `useCache=False`. - 202 """ - 203 if token is None or not token: - 204 try: - 205 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) - 206 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") - 207 - 208 except KeyError: - 209 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") - 210 - 211 else: - 212 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' - 213 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") - 214 - 215 if accountId is None or not accountId: - 216 try: - 217 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) - 218 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") - 219 - 220 except KeyError: - 221 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") - 222 - 223 else: - 224 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' - 225 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") - 226 - 227 self.aliases = TKS_TICKER_ALIASES - 228 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" - 229 - 230 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init - 231 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there - 232 - 233 self.ticker = "" - 234 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" - 235 - 236 self.figi = "" - 237 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" - 238 - 239 self.depth = 1 - 240 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" - 241 - 242 self.server = r"https://invest-public-api.tinkoff.ru/rest" - 243 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest - 244 - 245 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 - 246 """ - 247 - 248 uLogger.debug("Broker API server: {}".format(self.server)) - 249 - 250 self.timeout = 15 - 251 """Server operations timeout in seconds. Default: 15""" - 252 - 253 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} - 254 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {token}"}`""" - 255 - 256 self.body = None - 257 """Request body which send to broker server. Default: `None`""" - 258 - 259 self.historyLength = 24 - 260 """How many candles returns if candles history request. For example, if `historyInterval="hour"` and `historyLength=24` it means: "give me last 24 hours". Must be >=1. Default: 24""" - 261 - 262 self.historyInterval = "hour" - 263 """Interval string for Tinkoff API (see: `TKSEnums.TKS_TIMEFRAMES`). Available values are `"1min"`, `"2min"`, `"3min"`, `"5min"`, `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`""" - 264 - 265 self.instrumentsFile = "instruments.md" - 266 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" - 267 - 268 self.searchResultsFile = "search-results.md" - 269 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" - 270 - 271 self.pricesFile = "prices.md" - 272 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" - 273 - 274 self.overviewFile = "overview.md" - 275 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" - 276 - 277 self.reportFile = "deals.md" - 278 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" - 279 - 280 self.historyFile = None - 281 """Full path to .csv output file where history candles will be saved. Default: `None`, mean that returns only pandas dataframe.""" - 282 - 283 self.iListDumpFile = "dump.json" - 284 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" - 285 - 286 self.iList = None # init iList - 287 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. - 288 - 289 See also: `Listing()` and `DumpInstruments()`. - 290 """ - 291 - 292 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: - 293 if iList is not None and isinstance(iList, dict): - 294 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") - 295 - 296 self.iList = iList # only used given iList, dump not updated - 297 - 298 elif useCache: - 299 if os.path.exists(self.iListDumpFile): - 300 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time - 301 curTime = datetime.now(tzutc()) - 302 - 303 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): - 304 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) - 305 - 306 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file - 307 - 308 else: - 309 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump - 310 - 311 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) - 312 uLogger.debug("Dump file was modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) - 313 - 314 else: - 315 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") - 316 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file - 317 - 318 else: - 319 self.iList = self.Listing() # request new raw instruments data from broker server - 320 self.DumpInstruments(forceUpdate=False) # save updated info to default dump file - 321 - 322 @staticmethod - 323 def _ParseJSON(rawData="{}", debug: bool = False) -> dict: - 324 """ - 325 Parse JSON from response string. - 326 - 327 :param rawData: this is a string with JSON-formatted text. - 328 :param debug: if `True` then print more debug information. - 329 :return: JSON (dictionary), parsed from server response string. - 330 """ - 331 if debug: - 332 uLogger.debug("Raw text body:") - 333 uLogger.debug(rawData) - 334 - 335 responseJSON = json.loads(rawData) if rawData else {} - 336 - 337 if debug: - 338 uLogger.debug("JSON formatted:") - 339 for jsonLine in json.dumps(responseJSON, indent=4).split('\n'): - 340 uLogger.debug(jsonLine) - 341 - 342 return responseJSON - 343 - 344 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: - 345 """ - 346 Send GET or POST request to broker server and receive JSON object. - 347 - 348 self.header: must be define with dictionary of headers. - 349 self.body: if define then used as request body. None by default. - 350 self.timeout: global request timeout, 15 seconds by default. - 351 :param url: url with REST request. - 352 :param reqType: send "GET" or "POST" request. "GET" by default. - 353 :param retry: how many times retry after first request if an error occurred. - 354 :param pause: sleep time in seconds between retries. - 355 :param debug: if `True` then print more debug information. - 356 :return: response JSON (dictionary) from broker. - 357 """ - 358 if reqType not in ("GET", "POST"): - 359 raise Exception("You can define request type: 'GET' or 'POST'!") - 360 - 361 if debug: - 362 uLogger.debug("Request parameters:") - 363 uLogger.debug(" - REST API URL: {}".format(url)) - 364 uLogger.debug(" - request type: {}".format(reqType)) - 365 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) - 366 uLogger.debug(" - body: {}".format(self.body)) - 367 - 368 # fast hack to avoid all operations with some tickers/FIGI - 369 responseJSON = {} - 370 oK = True - 371 for item in self.exclude: - 372 if item in url: - 373 if debug: - 374 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) - 375 - 376 oK = False - 377 break - 378 - 379 if oK: - 380 counter = 0 - 381 response = None - 382 errMsg = "" - 383 - 384 while not response and counter <= retry: - 385 if reqType == "GET": - 386 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) - 387 - 388 if reqType == "POST": - 389 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) - 390 - 391 if debug: - 392 uLogger.debug("Response:") - 393 uLogger.debug(" - status code: {}".format(response.status_code)) - 394 uLogger.debug(" - reason: {}".format(response.reason)) - 395 uLogger.debug(" - body length: {}".format(len(response.text))) - 396 - 397 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes - 398 if 400 <= response.status_code < 600: - 399 errMsg = "[{}] {}".format(response.status_code, response.text) - 400 uLogger.debug(" - not oK status code received: {}".format(errMsg)) - 401 counter += 1 - 402 - 403 if counter <= retry: - 404 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) - 405 sleep(pause) - 406 - 407 responseJSON = self._ParseJSON(response.text) - 408 - 409 if errMsg: - 410 uLogger.error("Not `oK` status received from broker server!") - 411 uLogger.error(" - message: {}".format(errMsg)) - 412 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") - 413 - 414 return responseJSON - 415 - 416 def _IUpdater(self, iType: str) -> tuple: - 417 """ - 418 Request instrument by type from server. See available API methods for instruments: - 419 Currencies: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Currencies - 420 Shares: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Shares - 421 Bonds: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Bonds - 422 Etfs: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Etfs - 423 Futures: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Futures - 424 - 425 :param iType: type of the instrument, it must be one of supported types in TKS_INSTRUMENTS list. - 426 :return: tuple with iType name and list of available instruments of current type for defined user token. - 427 """ - 428 result = [] - 429 - 430 if iType in TKS_INSTRUMENTS: - 431 uLogger.debug("Requesting available [{}] list. Wait, please...".format(iType)) - 432 - 433 # all instruments have the same body in API v2 requests: - 434 self.body = str({"instrumentStatus": "INSTRUMENT_STATUS_UNSPECIFIED"}) # Enum: [INSTRUMENT_STATUS_UNSPECIFIED, INSTRUMENT_STATUS_BASE, INSTRUMENT_STATUS_ALL] - 435 instrumentURL = self.server + r"/tinkoff.public.invest.api.contract.v1.InstrumentsService/{}".format(iType) - 436 result = self.SendAPIRequest(instrumentURL, reqType="POST", debug=False)["instruments"] - 437 - 438 return iType, result - 439 - 440 def _IWrapper(self, kwargs): - 441 """ - 442 Wrapper runs instrument's update method `_IUpdater()`. - 443 It's a workaround for using multiprocessing with kwargs. See: https://stackoverflow.com/a/36799206 - 444 """ - 445 return self._IUpdater(**kwargs) - 446 - 447 def Listing(self) -> dict: - 448 """ - 449 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. - 450 - 451 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. - 452 """ - 453 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") - 454 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) - 455 - 456 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService - 457 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. - 458 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] - 459 - 460 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode - 461 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations - 462 poolUpdater.close() - 463 - 464 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. - 465 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method - 466 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} - 467 - 468 # calculate minimum price increment (step) for all instruments and set up instrument's type: - 469 for iType in iList.keys(): - 470 for ticker in iList[iType]: - 471 iList[iType][ticker]["type"] = iType - 472 - 473 if "minPriceIncrement" in iList[iType][ticker].keys(): - 474 iList[iType][ticker]["step"] = NanoToFloat( - 475 iList[iType][ticker]["minPriceIncrement"]["units"], - 476 iList[iType][ticker]["minPriceIncrement"]["nano"], - 477 ) - 478 - 479 else: - 480 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures - 481 - 482 return iList - 483 - 484 def DumpInstruments(self, forceUpdate: bool = True) -> str: - 485 """ - 486 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server - 487 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. - 488 - 489 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. - 490 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. - 491 """ - 492 if self.iListDumpFile is None or not self.iListDumpFile: - 493 raise Exception("Output name of dump file must be defined!") - 494 - 495 if not self.iList or forceUpdate: - 496 self.iList = self.Listing() - 497 - 498 dump = json.dumps(self.iList, indent=4, sort_keys=False) - 499 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: - 500 fH.write(dump) - 501 - 502 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) - 503 - 504 return dump - 505 - 506 @staticmethod - 507 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: - 508 """ - 509 Show information about instrument defined by json and print in Markdown format. - 510 - 511 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` - 512 :param printInfo: if `True` then also printing information about instrument and its current price. - 513 :return: text in Markdown format with information about instrument. - 514 """ - 515 infoText = "" - 516 if iJSON is not None and iJSON and isinstance(iJSON, dict): - 517 info = [ - 518 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - 519 "| Parameters | Values\n", - 520 "|---------------------------------------------------------|---------------------------------------------------------\n", - 521 "| Ticker: | {}\n".format(iJSON["ticker"]), - 522 "| Full name: | {}\n".format(iJSON["name"]), - 523 ] - 524 - 525 if "sector" in iJSON.keys() and iJSON["sector"]: - 526 info.append("| Sector: | {}\n".format(iJSON["sector"])) - 527 - 528 info.append("| Country of instrument: | {}{}\n".format( - 529 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", - 530 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", - 531 )) - 532 - 533 info.extend([ - 534 "| |\n", - 535 "| FIGI (Financial Instrument Global Identifier): | {}\n".format(iJSON["figi"]), - 536 "| Exchange: | {}\n".format(iJSON["exchange"]), - 537 ]) - 538 - 539 if "isin" in iJSON.keys() and iJSON["isin"]: - 540 info.append("| ISIN (International Securities Identification Number): | {}\n".format(iJSON["isin"])) - 541 - 542 if "classCode" in iJSON.keys(): - 543 info.append("| Class Code: | {}\n".format(iJSON["classCode"])) - 544 - 545 info.extend([ - 546 "| |\n", - 547 "| Current broker security trading status: | {}\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), - 548 "| Buy operations allowed: | {}\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), - 549 "| Sale operations allowed: | {}\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), - 550 "| Short positions allowed: | {}\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), - 551 ]) - 552 - 553 info.append("| |\n") - 554 - 555 if "type" in iJSON.keys() and iJSON["type"]: - 556 info.append("| Type of the instrument: | {}\n".format(iJSON["type"])) - 557 - 558 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: - 559 info.append("| Futures type: | {}\n".format(iJSON["futuresType"])) - 560 - 561 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: - 562 info.append("| IPO date: | {}\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) - 563 - 564 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: - 565 info.append("| Released date: | {}\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) - 566 - 567 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: - 568 info.append("| Rebalancing frequency: | {}\n".format(iJSON["rebalancingFreq"])) - 569 - 570 if "focusType" in iJSON.keys() and iJSON["focusType"]: - 571 info.append("| Focusing type: | {}\n".format(iJSON["focusType"])) - 572 - 573 if "assetType" in iJSON.keys() and iJSON["assetType"]: - 574 info.append("| Asset type: | {}\n".format(iJSON["assetType"])) - 575 - 576 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: - 577 info.append("| Basic asset: | {}\n".format(iJSON["basicAsset"])) - 578 - 579 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: - 580 info.append("| Basic asset size: | {:.2f}\n".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"]))) - 581 - 582 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: - 583 info.append("| ISO currency name: | {}\n".format(iJSON["isoCurrencyName"])) - 584 - 585 if "currency" in iJSON.keys(): - 586 info.append("| Payment currency: | {}\n".format(iJSON["currency"])) - 587 - 588 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: - 589 info.append("| First trade date: | {}\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) - 590 - 591 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: - 592 info.append("| Last trade date: | {}\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) - 593 - 594 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: - 595 info.append("| Date of expiration: | {}\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) - 596 - 597 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: - 598 info.append("| State registration date: | {}\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) - 599 - 600 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: - 601 info.append("| Placement date: | {}\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) - 602 - 603 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: - 604 info.append("| Maturity date: | {}\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) - 605 - 606 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: - 607 info.append("| Perpetual bond: | Yes\n") - 608 - 609 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: - 610 info.append("| Over-the-counter (OTC) securities: | Yes\n") - 611 - 612 if iJSON["type"] == "Bonds": - 613 info.append("| Bond issue (size / plan): | {} / {}\n".format(iJSON["issueSize"], iJSON["issueSizePlan"])) - 614 - 615 info.append("| Nominal price (100%): | {:.2f} {}\n".format( - 616 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), - 617 iJSON["nominal"]["currency"], - 618 )) - 619 - 620 if "floatingCouponFlag" in iJSON.keys(): - 621 info.append("| Floating coupon: | {}\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) - 622 - 623 if "amortizationFlag" in iJSON.keys(): - 624 info.append("| Amortization: | {}\n".format("Yes" if iJSON["amortizationFlag"] else "No")) - 625 - 626 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: - 627 info.append("| Number of coupon payments per year: | {}\n".format(iJSON["couponQuantityPerYear"])) - 628 - 629 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: - 630 info.append("| Current ACI (Accrued Interest): | {:.2f} {}\n".format( - 631 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), - 632 iJSON["aciValue"]["currency"] - 633 )) - 634 - 635 if "currentPrice" in iJSON.keys(): - 636 info.append("| |\n") - 637 - 638 info.extend([ - 639 "| Previous close price of the instrument: | {}{}\n".format( - 640 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", - 641 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 642 ), - 643 "| Last deal price of the instrument: | {}{}\n".format( - 644 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", - 645 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 646 ), - 647 "| Changes between last deal price and last close % | {:.2f}%\n".format(iJSON["currentPrice"]["changes"]), - 648 "| Current limit price, min / max: | {}{} / {}{}\n".format( - 649 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", - 650 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 651 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", - 652 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 653 ), - 654 "| Actual price, sell / buy: | {}{} / {}{}\n".format( - 655 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", - 656 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 657 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", - 658 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 659 ), - 660 ]) - 661 - 662 if "lot" in iJSON.keys(): - 663 info.append("| Minimum lot to buy: | {}\n".format(iJSON["lot"])) - 664 - 665 if "step" in iJSON.keys() and iJSON["step"] != 0: - 666 info.append("| Minimum price increment (step): | {}\n".format(iJSON["step"])) - 667 - 668 infoText += "".join(info) - 669 - 670 if printInfo: - 671 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) - 672 - 673 else: - 674 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) - 675 - 676 return infoText - 677 - 678 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: - 679 """ - 680 Search and return raw broker's information about instrument by it's ticker. - 681 `ticker` must be define! If debug=True then print all debug messages. - 682 - 683 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). - 684 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. - 685 :param debug: if `True` then print all debug console messages. - 686 :return: JSON formatted data with information about instrument. - 687 """ - 688 tickerJSON = {} - 689 if debug: - 690 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) - 691 - 692 if not self.ticker: - 693 uLogger.warning("self.ticker variable is not be empty!") - 694 - 695 else: - 696 if not self.iList: - 697 self.iList = self.Listing() - 698 - 699 if self.ticker in self.iList["Shares"].keys(): - 700 tickerJSON = self.iList["Shares"][self.ticker] - 701 if debug: - 702 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) - 703 - 704 elif self.ticker in self.iList["Currencies"].keys(): - 705 tickerJSON = self.iList["Currencies"][self.ticker] - 706 if debug: - 707 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) - 708 - 709 elif self.ticker in self.iList["Bonds"].keys(): - 710 tickerJSON = self.iList["Bonds"][self.ticker] - 711 if debug: - 712 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) - 713 - 714 elif self.ticker in self.iList["Etfs"].keys(): - 715 tickerJSON = self.iList["Etfs"][self.ticker] - 716 if debug: - 717 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) - 718 - 719 elif self.ticker in self.iList["Futures"].keys(): - 720 tickerJSON = self.iList["Futures"][self.ticker] - 721 if debug: - 722 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) - 723 - 724 if tickerJSON: - 725 self.figi = tickerJSON["figi"] - 726 - 727 if requestPrice: - 728 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) - 729 - 730 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: - 731 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] - 732 - 733 else: - 734 tickerJSON["currentPrice"]["changes"] = 0 - 735 - 736 if showInfo: - 737 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text - 738 - 739 else: - 740 if showInfo: - 741 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) - 742 - 743 return tickerJSON - 744 - 745 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: - 746 """ - 747 Search and return raw broker's information about instrument by it's FIGI. - 748 `figi` must be define! If debug=True then print all debug messages. - 749 - 750 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). - 751 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. - 752 :param debug: if `True` then print all debug console messages. - 753 :return: JSON formatted data with information about instrument. - 754 """ - 755 figiJSON = {} - 756 if debug: - 757 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) - 758 - 759 if not self.figi: - 760 uLogger.warning("self.figi variable is not be empty!") - 761 - 762 else: - 763 if not self.iList: - 764 self.iList = self.Listing() - 765 - 766 for item in self.iList["Shares"].keys(): - 767 if self.figi == self.iList["Shares"][item]["figi"]: - 768 figiJSON = self.iList["Shares"][item] - 769 - 770 if debug: - 771 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) - 772 - 773 break - 774 - 775 if not figiJSON: - 776 for item in self.iList["Currencies"].keys(): - 777 if self.figi == self.iList["Currencies"][item]["figi"]: - 778 figiJSON = self.iList["Currencies"][item] - 779 - 780 if debug: - 781 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) - 782 - 783 break - 784 - 785 if not figiJSON: - 786 for item in self.iList["Bonds"].keys(): - 787 if self.figi == self.iList["Bonds"][item]["figi"]: - 788 figiJSON = self.iList["Bonds"][item] - 789 - 790 if debug: - 791 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) - 792 - 793 break - 794 - 795 if not figiJSON: - 796 for item in self.iList["Etfs"].keys(): - 797 if self.figi == self.iList["Etfs"][item]["figi"]: - 798 figiJSON = self.iList["Etfs"][item] - 799 - 800 if debug: - 801 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) - 802 - 803 break - 804 - 805 if not figiJSON: - 806 for item in self.iList["Futures"].keys(): - 807 if self.figi == self.iList["Futures"][item]["figi"]: - 808 figiJSON = self.iList["Futures"][item] - 809 - 810 if debug: - 811 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) - 812 - 813 break - 814 - 815 if figiJSON: - 816 self.figi = figiJSON["figi"] - 817 self.ticker = figiJSON["ticker"] - 818 - 819 if requestPrice: - 820 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) - 821 - 822 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: - 823 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] - 824 - 825 else: - 826 figiJSON["currentPrice"]["changes"] = 0 - 827 - 828 if showInfo: - 829 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text - 830 - 831 else: - 832 if showInfo: - 833 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) - 834 - 835 return figiJSON - 836 - 837 def GetCurrentPrices(self, showPrice: bool = False) -> dict: - 838 """ - 839 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: - 840 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. - 841 - 842 :param showPrice: if `True` then print DOM. - 843 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. - 844 """ - 845 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} - 846 - 847 if self.depth < 1: - 848 raise Exception("Depth of Market (DOM) must be >=1!") - 849 - 850 if not (self.ticker or self.figi): - 851 raise Exception("self.ticker or self.figi variables must be defined!") - 852 - 853 if self.ticker and not self.figi: - 854 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! - 855 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" - 856 - 857 if not self.ticker and self.figi: - 858 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! - 859 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" - 860 - 861 if not self.figi: - 862 uLogger.error("FIGI is not determined!") - 863 - 864 else: - 865 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) - 866 - 867 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook - 868 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" - 869 self.body = str({"figi": self.figi, "depth": self.depth}) - 870 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") - 871 - 872 if pricesResponse: - 873 # list of dicts with sellers orders: - 874 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] - 875 - 876 # list of dicts with buyers orders: - 877 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] - 878 - 879 # max price of instrument at this time: - 880 prices["limitUp"] = NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]) if "limitUp" in pricesResponse.keys() else None - 881 - 882 # min price of instrument at this time: - 883 prices["limitDown"] = NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]) if "limitDown" in pricesResponse.keys() else None - 884 - 885 # last price of deal with instrument: - 886 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 - 887 - 888 # last close price of instrument: - 889 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 - 890 - 891 else: - 892 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) - 893 uLogger.debug("Server response: {}".format(pricesResponse)) - 894 - 895 if showPrice: - 896 if prices["buy"] or prices["sell"]: - 897 info = [ - 898 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( - 899 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), - 900 self.ticker, - 901 self.figi, - 902 self.depth, - 903 ), - 904 uLog.sepShort, "\n", - 905 " Orders of Buyers | Orders of Sellers\n", - 906 uLog.sepShort, "\n", - 907 " Sell prices (vol.) | Buy prices (vol.)\n", - 908 uLog.sepShort, "\n", - 909 ] - 910 - 911 if not prices["buy"]: - 912 info.append(" | No orders!\n") - 913 sumBuy = 0 - 914 - 915 else: - 916 sumBuy = sum([x["quantity"] for x in prices["buy"]]) - 917 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) - 918 for item in maxMinSorted: - 919 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) - 920 - 921 if not prices["sell"]: - 922 info.append("No orders! |\n") - 923 sumSell = 0 - 924 - 925 else: - 926 sumSell = sum([x["quantity"] for x in prices["sell"]]) - 927 for item in prices["sell"]: - 928 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) - 929 - 930 info.extend([ - 931 uLog.sepShort, "\n", - 932 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), - 933 uLog.sepShort, "\n", - 934 ]) - 935 - 936 infoText = "".join(info) - 937 - 938 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) - 939 - 940 else: - 941 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) - 942 - 943 return prices - 944 - 945 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: - 946 """ - 947 This method get and show information about all available broker instruments. - 948 If `instrumentsFile` string is not empty then also save information to this file. - 949 - 950 :param showInstruments: if `True` then print results to console, if `False` - print only to file. - 951 :return: multi-string with all available broker instruments - 952 """ - 953 if not self.iList: - 954 self.iList = self.Listing() - 955 - 956 info = [ - 957 "# All available instruments from Tinkoff Broker server for current user token\n\n", - 958 "* **Actual on date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - 959 ] - 960 - 961 # add instruments count by type: - 962 for iType in self.iList.keys(): - 963 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) - 964 - 965 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step\n" - 966 splitLine = "|--------------|----------------------------------------------------------------|--------------|-----|--------|---------\n" - 967 - 968 # generating info tables with all instruments by type: - 969 for iType in self.iList.keys(): - 970 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) - 971 - 972 for instrument in self.iList[iType].keys(): - 973 iName = self.iList[iType][instrument]["name"] # instrument's name - 974 if len(iName) > 63: - 975 iName = "{}...".format(iName[:60]) # right trim for a long string - 976 - 977 info.append("| {:<12} | {:<63}| {:<13}| {:<4}| {:<7}| {}\n".format( - 978 self.iList[iType][instrument]["ticker"], - 979 iName, - 980 self.iList[iType][instrument]["figi"], - 981 self.iList[iType][instrument]["currency"], - 982 self.iList[iType][instrument]["lot"], - 983 str(self.iList[iType][instrument]["step"]).rstrip("0"), - 984 )) - 985 - 986 infoText = "".join(info) - 987 - 988 if showInstruments: - 989 uLogger.info(infoText) - 990 - 991 if self.instrumentsFile: - 992 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: - 993 fH.write(infoText) - 994 - 995 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) - 996 - 997 return infoText - 998 - 999 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: -1000 """ -1001 This method search and show information about instruments by part of its ticker, FIGI or name. -1002 If `searchResultsFile` string is not empty then also save information to this file. -1003 -1004 :param pattern: string with part of ticker, FIGI or instrument's name. -1005 :param showResults: if `True` then print results to console, if `False` - return list of result only. -1006 :return: list of dictionaries with all found instruments. -1007 """ -1008 if not self.iList: -1009 self.iList = self.Listing() -1010 -1011 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments -1012 compiledPattern = re.compile(pattern, re.IGNORECASE) -1013 -1014 for iType in self.iList: -1015 for instrument in self.iList[iType].values(): -1016 searchResult = compiledPattern.search(" ".join( -1017 [instrument["ticker"], instrument["figi"], instrument["name"]] -1018 )) -1019 -1020 if searchResult: -1021 searchResults[iType][instrument["ticker"]] = instrument -1022 -1023 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) -1024 info = [ -1025 "# Search results\n\n", -1026 "* **Search pattern:** [{}]\n".format(pattern), -1027 "* **Found instruments:** [{}]\n\n".format(resultsLen), -1028 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" -1029 ] -1030 infoShort = info[:] -1031 -1032 headerLine = "| Type | Ticker | Full name | FIGI |\n" -1033 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" -1034 skippedLine = "| ... | ... | ... | ... |\n" -1035 -1036 if resultsLen == 0: -1037 info.append("\nNo results\n") -1038 infoShort.append("\nNo results\n") -1039 uLogger.warning("No results. Try changing your search pattern.") -1040 -1041 else: -1042 for iType in searchResults: -1043 iTypeValuesCount = len(searchResults[iType].values()) -1044 if iTypeValuesCount > 0: -1045 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1046 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1047 -1048 for instrument in searchResults[iType].values(): -1049 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( -1050 instrument["type"], -1051 instrument["ticker"], -1052 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string -1053 instrument["figi"], -1054 )) -1055 -1056 if iTypeValuesCount <= 5: -1057 infoShort.extend(info[-iTypeValuesCount:]) -1058 -1059 else: -1060 infoShort.extend(info[-5:]) -1061 infoShort.append(skippedLine) -1062 -1063 infoText = "".join(info) -1064 infoTextShort = "".join(infoShort) -1065 -1066 if showResults: -1067 uLogger.info(infoTextShort) -1068 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") -1069 -1070 if self.searchResultsFile: -1071 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: -1072 fH.write(infoText) -1073 -1074 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) -1075 -1076 return searchResults -1077 -1078 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: -1079 """ -1080 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! -1081 See limits: https://tinkoff.github.io/investAPI/limits/ -1082 If `pricesFile` string is not empty then also save information to this file. -1083 -1084 :param instruments: list of tickers or FIGIs. -1085 :param showPrices: if `True` then print to console, if `False` - print only to file. -1086 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` -1087 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. -1088 """ -1089 if instruments is None or not instruments: -1090 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") -1091 -1092 uLogger.debug("Requesting current prices of list of instruments from Tinkoff Broker server...") -1093 -1094 iList = [] -1095 for iName in instruments: -1096 if iName not in self.aliases.keys(): -1097 iList.append(iName) -1098 -1099 else: -1100 iList.append(self.aliases[iName]) -1101 -1102 unique = set() # create list with every figi only one time with the same order position: -1103 tempNames = [item for item in iList if not (item in unique or unique.add(item))] -1104 -1105 uLogger.debug("Ordered input list of instruments without duplicates of names: {}".format(tempNames)) -1106 -1107 iList = [] # try to get info about all unique instruments: -1108 for iName in tempNames: -1109 self.ticker = iName -1110 iData = self.SearchByTicker(requestPrice=True) -1111 -1112 if not iData: -1113 self.ticker = "" -1114 self.figi = iName -1115 -1116 iData = self.SearchByFIGI(requestPrice=True) -1117 -1118 if not iData: -1119 self.figi = "" -1120 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) -1121 -1122 if iData: -1123 isUnique = True -1124 for item in iList: -1125 if item["figi"] == iData["figi"] or item["ticker"] == iData["ticker"]: -1126 isUnique = False -1127 break -1128 -1129 if isUnique: -1130 iList.append(iData) -1131 -1132 if showPrices: -1133 info = [ -1134 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), -1135 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr.\n", -1136 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|------\n", -1137 ] -1138 -1139 for item in iList: -1140 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {}\n".format( -1141 item["ticker"], -1142 item["figi"], -1143 item["type"], -1144 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), -1145 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), -1146 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), -1147 "{} / {}".format( -1148 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", -1149 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", -1150 ), -1151 "{} / {}".format( -1152 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", -1153 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", -1154 ), -1155 item["currency"], -1156 )) -1157 -1158 infoText = "".join(info) -1159 -1160 if showPrices: -1161 uLogger.info("Only unique instruments are shown:\n{}".format(infoText)) -1162 -1163 if self.pricesFile: -1164 with open(self.pricesFile, "w", encoding="UTF-8") as fH: -1165 fH.write(infoText) -1166 -1167 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) -1168 -1169 return iList -1170 -1171 def RequestPortfolio(self) -> dict: -1172 """ -1173 Requesting current actual user's portfolio. -1174 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio -1175 -1176 :return: dictionary with user's portfolio. -1177 """ -1178 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") -1179 -1180 self.body = str({"accountId": self.accountId}) -1181 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" -1182 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") -1183 -1184 uLogger.debug("Records about user's portfolio successfully received") -1185 -1186 return rawPortfolio -1187 -1188 def RequestPositions(self) -> dict: -1189 """ -1190 Requesting current open positions in currencies and instruments. -1191 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions -1192 -1193 :return: dictionary with open positions by instruments. -1194 """ -1195 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") -1196 -1197 self.body = str({"accountId": self.accountId}) -1198 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" -1199 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") -1200 -1201 uLogger.debug("Records about current open positions successfully received") -1202 -1203 return rawPositions -1204 -1205 def RequestPendingOrders(self) -> list: -1206 """ -1207 Requesting current actual pending orders. -1208 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders -1209 -1210 :return: list of dictionaries with pending orders. -1211 """ -1212 uLogger.debug("Requesting current actual pending orders. Wait, please...") -1213 -1214 self.body = str({"accountId": self.accountId}) -1215 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" -1216 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] -1217 -1218 uLogger.debug("[{}] records about pending orders successfully received".format(len(rawOrders))) -1219 -1220 return rawOrders -1221 -1222 def RequestStopOrders(self) -> list: -1223 """ -1224 Requesting current actual stop orders. -1225 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders -1226 -1227 :return: list of dictionaries with stop orders. -1228 """ -1229 uLogger.debug("Requesting current actual stop orders. Wait, please...") -1230 -1231 self.body = str({"accountId": self.accountId}) -1232 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" -1233 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] -1234 -1235 uLogger.debug("[{}] records about stop orders successfully received".format(len(rawStopOrders))) -1236 -1237 return rawStopOrders -1238 -1239 def Overview(self, showStatistics: bool = False) -> dict: -1240 """ -1241 Get portfolio: all open positions, orders and some statistics for defined accountId. -1242 If `overviewFile` is define then also save information to file. -1243 -1244 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. -1245 :return: dictionary with client's raw portfolio and some statistics. -1246 """ -1247 view = { -1248 "raw": { # --- raw portfolio responses from broker with user portfolio data: -1249 "headers": {}, # list of dictionaries, response headers without "positions" section -1250 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section -1251 "Shares": [], # list of dictionaries, open trades with shares from "positions" section -1252 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section -1253 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section -1254 "Futures": [], # list of dictionaries, open trades with futures from "positions" section -1255 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client -1256 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders -1257 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders -1258 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB -1259 }, -1260 "stat": { # --- some statistics calculated using "raw" sections: -1261 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) -1262 "availableRUB": 0., # available rubles (without other currencies) -1263 "blockedRUB": 0., # blocked sum in Russian Rouble -1264 "totalChangesRUB": 0., # changes for all open trades in RUB -1265 "totalChangesPercentRUB": 0., # changes for all open trades in percents -1266 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB -1267 "sharesCostRUB": 0., # costs of all shares in RUB -1268 "bondsCostRUB": 0., # costs of all bonds in RUB -1269 "etfsCostRUB": 0., # costs of all etfs in RUB -1270 "futuresCostRUB": 0., # costs of all futures in RUB -1271 "Currencies": [], # list of dictionaries of all currencies statistics -1272 "Shares": [], # list of dictionaries of all shares statistics -1273 "Bonds": [], # list of dictionaries of all bonds statistics -1274 "Etfs": [], # list of dictionaries of all etfs statistics -1275 "Futures": [], # list of dictionaries of all futures statistics -1276 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters -1277 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters -1278 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} -1279 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} -1280 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1281 }, -1282 "analytics": { # --- some analytics of portfolio: -1283 "distrByAssets": {}, # portfolio distribution by assets -1284 "distrByCompanies": {}, # portfolio distribution by companies -1285 "distrBySectors": {}, # portfolio distribution by sectors -1286 "distrByCurrencies": {}, # portfolio distribution by currencies -1287 "distrByCountries": {}, # portfolio distribution by countries -1288 } -1289 } -1290 -1291 if showStatistics: -1292 uLogger.debug("Requesting portfolio of a client. Wait, please...") -1293 -1294 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) -1295 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) -1296 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) -1297 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) -1298 -1299 # save response headers without "positions" section: -1300 for key in portfolioResponse.keys(): -1301 if key != "positions": -1302 view["raw"]["headers"][key] = portfolioResponse[key] -1303 -1304 else: -1305 continue -1306 -1307 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation -1308 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS -1309 for item in portfolioResponse["positions"]: -1310 if item["instrumentType"] == "currency": -1311 self.figi = item["figi"] -1312 curr = self.SearchByFIGI(requestPrice=False) -1313 -1314 # current price of currency in RUB: -1315 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { -1316 "name": curr["name"], -1317 "currentPrice": NanoToFloat( -1318 item["currentPrice"]["units"], -1319 item["currentPrice"]["nano"] -1320 ), -1321 } -1322 -1323 view["raw"]["Currencies"].append(item) -1324 -1325 elif item["instrumentType"] == "share": -1326 view["raw"]["Shares"].append(item) -1327 -1328 elif item["instrumentType"] == "bond": -1329 view["raw"]["Bonds"].append(item) -1330 -1331 elif item["instrumentType"] == "etf": -1332 view["raw"]["Etfs"].append(item) -1333 -1334 elif item["instrumentType"] == "futures": -1335 view["raw"]["Futures"].append(item) -1336 -1337 else: -1338 continue -1339 -1340 # how many volume of currencies (by ISO currency name) are blocked: -1341 for item in view["raw"]["positions"]["blocked"]: -1342 blocked = NanoToFloat(item["units"], item["nano"]) -1343 if blocked > 0: -1344 view["stat"]["blockedCurrencies"][item["currency"]] = blocked -1345 -1346 # how many volume of instruments (by FIGI) are blocked: -1347 for item in view["raw"]["positions"]["securities"]: -1348 blocked = int(item["blocked"]) -1349 if blocked > 0: -1350 view["stat"]["blockedInstruments"][item["figi"]] = blocked -1351 -1352 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} -1353 -1354 if "rub" in allBlocked.keys(): -1355 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles -1356 -1357 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: -1358 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) -1359 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) -1360 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) -1361 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) -1362 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) -1363 view["stat"]["portfolioCostRUB"] = sum([ -1364 view["stat"]["allCurrenciesCostRUB"], -1365 view["stat"]["sharesCostRUB"], -1366 view["stat"]["bondsCostRUB"], -1367 view["stat"]["etfsCostRUB"], -1368 view["stat"]["futuresCostRUB"], -1369 ]) -1370 -1371 # --- calculating some portfolio statistics: -1372 byComp = {} # distribution by companies -1373 bySect = {} # distribution by sectors -1374 byCurr = {} # distribution by currencies (include RUB) -1375 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" -1376 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) -1377 -1378 for item in portfolioResponse["positions"]: -1379 self.figi = item["figi"] -1380 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI -1381 -1382 if instrument: -1383 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): -1384 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency -1385 -1386 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): -1387 blocked = allBlocked[item["figi"]] # blocked volume of other instruments -1388 -1389 else: -1390 blocked = 0 -1391 -1392 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument -1393 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument -1394 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long -1395 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price -1396 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price -1397 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment -1398 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. -1399 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset -1400 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) -1401 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName -1402 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles -1403 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost -1404 -1405 statData = { -1406 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method -1407 "ticker": instrument["ticker"], # ticker by FIGI -1408 "currency": currency, # currency name rub, usd, eur etc. for instrument price -1409 "volume": volume, # available volume of instrument -1410 "lots": lots, # volume in lots of instrument -1411 "direction": direction, # direction of an instrument's position: short or long -1412 "blocked": blocked, # blocked volume of currency or instrument -1413 "currentPrice": curPrice, # current instrument's price in basic asset -1414 "average": average, # current average position price -1415 "cost": cost, # current cost of all volume of instrument in basic asset -1416 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) -1417 "costRUB": costRUB, # cost of instrument in ruble -1418 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB -1419 "profit": profit, # expected profit at current moment -1420 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument -1421 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", -1422 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments -1423 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only -1424 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName -1425 "step": instrument["step"], # minimum price increment -1426 } -1427 -1428 # adding distribution by unique countries: -1429 if statData["country"] not in byCountry.keys(): -1430 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} -1431 -1432 else: -1433 byCountry[statData["country"]]["cost"] += costRUB -1434 byCountry[statData["country"]]["percent"] += percentCostRUB -1435 -1436 if item["instrumentType"] != "currency": -1437 # adding distribution by unique companies: -1438 if statData["name"]: -1439 if statData["name"] not in byComp.keys(): -1440 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} -1441 -1442 else: -1443 byComp[statData["name"]]["cost"] += costRUB -1444 byComp[statData["name"]]["percent"] += percentCostRUB -1445 -1446 # adding distribution by unique sectors: -1447 if statData["sector"] not in bySect.keys(): -1448 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} -1449 -1450 else: -1451 bySect[statData["sector"]]["cost"] += costRUB -1452 bySect[statData["sector"]]["percent"] += percentCostRUB -1453 -1454 # adding distribution by unique currencies: -1455 if currency not in byCurr.keys(): -1456 byCurr[currency] = { -1457 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], -1458 "cost": costRUB, -1459 "percent": percentCostRUB -1460 } -1461 -1462 else: -1463 byCurr[currency]["cost"] += costRUB -1464 byCurr[currency]["percent"] += percentCostRUB -1465 -1466 # saving statistics for every instrument: -1467 if item["instrumentType"] == "currency": -1468 view["stat"]["Currencies"].append(statData) -1469 -1470 # update dict with free funds for trading (total - blocked) by currencies -1471 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1472 view["stat"]["funds"][currency] = { -1473 "total": volume, -1474 "totalCostRUB": costRUB, # total volume cost in rubles -1475 "free": volume - blocked, -1476 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles -1477 } -1478 -1479 elif item["instrumentType"] == "share": -1480 view["stat"]["Shares"].append(statData) -1481 -1482 elif item["instrumentType"] == "bond": -1483 view["stat"]["Bonds"].append(statData) -1484 -1485 elif item["instrumentType"] == "etf": -1486 view["stat"]["Etfs"].append(statData) -1487 -1488 elif item["instrumentType"] == "Futures": -1489 view["stat"]["Futures"].append(statData) -1490 -1491 else: -1492 continue -1493 -1494 # total changes in Russian Ruble: -1495 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies -1496 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. -1497 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) -1498 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost -1499 view["stat"]["funds"]["rub"] = { -1500 "total": view["stat"]["availableRUB"], -1501 "totalCostRUB": view["stat"]["availableRUB"], -1502 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1503 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1504 } -1505 -1506 # --- pending orders sector data: -1507 for item in view["raw"]["orders"]: -1508 self.figi = item["figi"] -1509 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1510 -1511 if instrument: -1512 action = TKS_ORDER_DIRECTIONS[item["direction"]] -1513 orderType = TKS_ORDER_TYPES[item["orderType"]] -1514 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] -1515 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1516 -1517 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1518 if item["direction"] == "ORDER_DIRECTION_BUY": -1519 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1520 -1521 else: -1522 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1523 -1524 # requested price for order execution: -1525 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) -1526 -1527 # necessary changes in percent to reach target from current price: -1528 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1529 -1530 view["stat"]["orders"].append({ -1531 "orderID": item["orderId"], # orderId number parameter of current order -1532 "figi": item["figi"], # FIGI identification -1533 "ticker": instrument["ticker"], # ticker name by FIGI -1534 "lotsRequested": item["lotsRequested"], # requested lots value -1535 "lotsExecuted": item["lotsExecuted"], # how many lots are executed -1536 "currentPrice": lastPrice, # current instrument's price for defined action -1537 "targetPrice": target, # requested price for order execution in base currency -1538 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency -1539 "percentChanges": changes, # changes in percent to target from current price -1540 "currency": item["currency"], # instrument's currency name -1541 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS -1542 "type": orderType, # type of order from TKS_ORDER_TYPES -1543 "status": orderState, # order status from TKS_ORDER_STATES -1544 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) -1545 }) -1546 -1547 # --- stop orders sector data: -1548 for item in view["raw"]["stopOrders"]: -1549 self.figi = item["figi"] -1550 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1551 -1552 if instrument: -1553 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] -1554 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] -1555 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1556 -1557 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order -1558 if "expirationTime" in item.keys(): -1559 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] -1560 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] -1561 -1562 else: -1563 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] -1564 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] -1565 -1566 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1567 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": -1568 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1569 -1570 else: -1571 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1572 -1573 # requested price when stop-order executed: -1574 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) -1575 -1576 # price for limit-order, set up when stop-order executed: -1577 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) -1578 -1579 # necessary changes in percent to reach target from current price: -1580 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1581 -1582 view["stat"]["stopOrders"].append({ -1583 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order -1584 "figi": item["figi"], # FIGI identification -1585 "ticker": instrument["ticker"], # ticker name by FIGI -1586 "lotsRequested": item["lotsRequested"], # requested lots value -1587 "currentPrice": lastPrice, # current instrument's price for defined action -1588 "targetPrice": target, # requested price for stop-order execution in base currency -1589 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order -1590 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency -1591 "percentChanges": changes, # changes in percent to target from current price -1592 "currency": item["currency"], # instrument's currency name -1593 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS -1594 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES -1595 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES -1596 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) -1597 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) -1598 }) -1599 -1600 # --- calculating data for analytics section: -1601 # portfolio distribution by assets: -1602 view["analytics"]["distrByAssets"] = { -1603 "Ruble": { -1604 "uniques": 1, -1605 "cost": view["stat"]["availableRUB"], -1606 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1607 }, -1608 "Currencies": { -1609 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB -1610 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], -1611 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1612 }, -1613 "Shares": { -1614 "uniques": len(view["stat"]["Shares"]), -1615 "cost": view["stat"]["sharesCostRUB"], -1616 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1617 }, -1618 "Bonds": { -1619 "uniques": len(view["stat"]["Bonds"]), -1620 "cost": view["stat"]["bondsCostRUB"], -1621 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1622 }, -1623 "Etfs": { -1624 "uniques": len(view["stat"]["Etfs"]), -1625 "cost": view["stat"]["etfsCostRUB"], -1626 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1627 }, -1628 "Futures": { -1629 "uniques": len(view["stat"]["Futures"]), -1630 "cost": view["stat"]["futuresCostRUB"], -1631 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1632 }, -1633 } -1634 -1635 # portfolio distribution by companies: -1636 view["analytics"]["distrByCompanies"]["All money cash"] = { -1637 "ticker": "", -1638 "cost": view["stat"]["allCurrenciesCostRUB"], -1639 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1640 } -1641 view["analytics"]["distrByCompanies"].update(byComp) -1642 -1643 # portfolio distribution by sectors: -1644 view["analytics"]["distrBySectors"]["All money cash"] = { -1645 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], -1646 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], -1647 } -1648 view["analytics"]["distrBySectors"].update(bySect) -1649 -1650 # portfolio distribution by currencies: -1651 view["analytics"]["distrByCurrencies"].update(byCurr) -1652 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] -1653 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] -1654 -1655 # portfolio distribution by countries: -1656 view["analytics"]["distrByCountries"].update(byCountry) -1657 -1658 # --- Prepare text statistics overview in human-readable: -1659 if showStatistics: -1660 info = [ -1661 "# Client's portfolio\n\n", -1662 "* **Actual date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), -1663 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1664 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( -1665 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1666 view["stat"]["totalChangesRUB"], -1667 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1668 view["stat"]["totalChangesPercentRUB"], -1669 ), -1670 "## Open positions\n\n", -1671 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%)\n", -1672 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|----------------------\n", -1673 "| Ruble | {:>31} | | | | |\n".format( -1674 "{:.2f} ({:.2f}) rub".format( -1675 view["stat"]["availableRUB"], -1676 view["stat"]["blockedRUB"], -1677 ) -1678 ) -1679 ] -1680 -1681 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: -1682 return [ -1683 "| | | | | | |\n", -1684 "| {:<27} | | | | | {:>19} |\n".format( -1685 noTradeStr if noTradeStr else typeStr, -1686 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), -1687 ), -1688 ] -1689 -1690 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: -1691 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {}\n".format( -1692 "{} [{}]".format(data["ticker"], data["figi"]), -1693 "{:.2f} ({:.2f}) {}".format( -1694 data["volume"], -1695 data["blocked"], -1696 data["currency"], -1697 ) if showCurrencyName else "{:.0f} ({:.0f})".format( -1698 data["volume"], -1699 data["blocked"], -1700 ), -1701 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), -1702 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", -1703 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", -1704 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), -1705 "{}{:.2f} {} ({}{:.2f}%)".format( -1706 "+" if data["profit"] > 0 else "", -1707 data["profit"], data["baseCurrencyName"], -1708 "+" if data["percentProfit"] > 0 else "", -1709 data["percentProfit"], -1710 ), -1711 ) -1712 -1713 # --- Show currencies section: -1714 if view["stat"]["Currencies"]: -1715 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) -1716 for item in view["stat"]["Currencies"]: -1717 info.append(_InfoStr(item, showCurrencyName=True)) -1718 -1719 else: -1720 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) -1721 -1722 # --- Show shares section: -1723 if view["stat"]["Shares"]: -1724 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) -1725 -1726 for item in view["stat"]["Shares"]: -1727 info.append(_InfoStr(item)) -1728 -1729 else: -1730 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) -1731 -1732 # --- Show bonds section: -1733 if view["stat"]["Bonds"]: -1734 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) -1735 -1736 for item in view["stat"]["Bonds"]: -1737 info.append(_InfoStr(item)) -1738 -1739 else: -1740 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) -1741 -1742 # --- Show etfs section: -1743 if view["stat"]["Etfs"]: -1744 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) -1745 -1746 for item in view["stat"]["Etfs"]: -1747 info.append(_InfoStr(item)) -1748 -1749 else: -1750 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) -1751 -1752 # --- Show futures section: -1753 if view["stat"]["Futures"]: -1754 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) -1755 -1756 for item in view["stat"]["Futures"]: -1757 info.append(_InfoStr(item)) -1758 -1759 else: -1760 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) -1761 -1762 # --- Show pending orders section: -1763 if view["stat"]["orders"]: -1764 info.extend([ -1765 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), -1766 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC)\n", -1767 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|---------------------\n", -1768 ]) -1769 for item in view["stat"]["orders"]: -1770 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {}\n".format( -1771 "{} [{}]".format(item["ticker"], item["figi"]), -1772 item["orderID"], -1773 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), -1774 "{} {} ({}{:.2f}%)".format( -1775 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1776 item["baseCurrencyName"], -1777 "+" if item["percentChanges"] > 0 else "", -1778 float(item["percentChanges"]), -1779 ), -1780 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1781 item["action"], -1782 item["type"], -1783 item["date"], -1784 )) -1785 -1786 else: -1787 info.append("\n## Total pending limit-orders: 0\n") -1788 -1789 # --- Show stop orders section: -1790 if view["stat"]["stopOrders"]: -1791 info.extend([ -1792 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), -1793 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC)\n", -1794 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------\n", -1795 ]) -1796 for item in view["stat"]["stopOrders"]: -1797 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {}\n".format( -1798 "{} [{}]".format(item["ticker"], item["figi"]), -1799 item["orderID"], -1800 item["lotsRequested"], -1801 "{} {} ({}{:.2f}%)".format( -1802 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1803 item["baseCurrencyName"], -1804 "+" if item["percentChanges"] > 0 else "", -1805 float(item["percentChanges"]), -1806 ), -1807 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1808 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], -1809 item["action"], -1810 item["type"], -1811 item["expType"], -1812 item["createDate"], -1813 item["expDate"], -1814 )) -1815 -1816 else: -1817 info.append("\n## Total stop-orders: 0\n") -1818 -1819 # -- Show analytics section: -1820 if view["stat"]["portfolioCostRUB"] > 0: -1821 info.extend([ -1822 "\n# Analytics\n" -1823 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1824 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( -1825 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1826 view["stat"]["totalChangesRUB"], -1827 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1828 view["stat"]["totalChangesPercentRUB"], -1829 ), -1830 "\n## Portfolio distribution by assets\n" -1831 "\n| Type | Uniques | Percent | Current cost\n", -1832 "|------------|---------|---------|-----------------\n", -1833 ]) -1834 -1835 for key in view["analytics"]["distrByAssets"].keys(): -1836 if view["analytics"]["distrByAssets"][key]["cost"] > 0: -1837 info.append("| {:<10} | {:<7} | {:<7} | {:.2f} rub\n".format( -1838 key, -1839 view["analytics"]["distrByAssets"][key]["uniques"], -1840 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), -1841 view["analytics"]["distrByAssets"][key]["cost"], -1842 )) -1843 -1844 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) -1845 info.extend([ -1846 "\n## Portfolio distribution by companies\n" -1847 "\n| Company{} | Percent | Current cost\n".format(" " * (maxLenNames - 7)), -1848 "|--------{}-|---------|-----------------\n".format("-" * (maxLenNames - 7)), -1849 ]) -1850 -1851 for company in view["analytics"]["distrByCompanies"].keys(): -1852 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: -1853 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) -1854 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1855 "{}{}{}".format( -1856 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", -1857 company, -1858 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), -1859 ), -1860 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), -1861 view["analytics"]["distrByCompanies"][company]["cost"], -1862 )) -1863 -1864 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) -1865 info.extend([ -1866 "\n## Portfolio distribution by sectors\n" -1867 "\n| Sector{} | Percent | Current cost\n".format(" " * (maxLenSectors - 6)), -1868 "|-------{}-|---------|-----------------\n".format("-" * (maxLenSectors - 6)), -1869 ]) -1870 -1871 for sector in view["analytics"]["distrBySectors"].keys(): -1872 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: -1873 info.append("| {}{} | {:<7} | {:.2f} rub\n".format( -1874 sector, -1875 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), -1876 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), -1877 view["analytics"]["distrBySectors"][sector]["cost"], -1878 )) -1879 -1880 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) -1881 info.extend([ -1882 "\n## Portfolio distribution by currencies\n" -1883 "\n| Instruments currencies{} | Percent | Current cost\n".format(" " * (maxLenMoney - 22)), -1884 "|-----------------------{}-|---------|-----------------\n".format("-" * (maxLenMoney - 22)), -1885 ]) -1886 -1887 for curr in view["analytics"]["distrByCurrencies"].keys(): -1888 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: -1889 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) -1890 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1891 "[{}] {}{}".format( -1892 curr, -1893 view["analytics"]["distrByCurrencies"][curr]["name"], -1894 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), -1895 ), -1896 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), -1897 view["analytics"]["distrByCurrencies"][curr]["cost"], -1898 )) -1899 -1900 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) -1901 info.extend([ -1902 "\n## Portfolio distribution by countries\n" -1903 "\n| Assets by country{} | Percent | Current cost\n".format(" " * (maxLenCountry - 17)), -1904 "|------------------{}-|---------|-----------------\n".format("-" * (maxLenCountry - 17)), -1905 ]) -1906 -1907 for country in view["analytics"]["distrByCountries"].keys(): -1908 if view["analytics"]["distrByCountries"][country]["cost"] > 0: -1909 nameLen = len(country) -1910 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1911 "{}{}".format( -1912 country, -1913 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), -1914 ), -1915 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), -1916 view["analytics"]["distrByCountries"][country]["cost"], -1917 )) -1918 -1919 infoText = "".join(info) -1920 -1921 if showStatistics: -1922 uLogger.info("Statistics of client's portfolio:\n{}".format(infoText)) -1923 -1924 if self.overviewFile: -1925 with open(self.overviewFile, "w", encoding="UTF-8") as fH: -1926 fH.write(infoText) -1927 -1928 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(self.overviewFile))) -1929 -1930 return view -1931 -1932 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: -1933 """ -1934 Returns history operations between two given dates. -1935 If `reportFile` string is not empty then also save human-readable report. -1936 Shows some statistical data of closed positions. -1937 -1938 :param start: see docstring in `GetDatesAsString()` method -1939 :param end: see docstring in `GetDatesAsString()` method -1940 :param printDeals: if `True` then also print all records to the console. -1941 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. -1942 :return: original list of dictionaries with history of deals records from API ("operations" key): -1943 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1944 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. -1945 """ -1946 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") -1947 -1948 uLogger.debug("Requesting history of a client's operations. Wait, please...") -1949 -1950 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1951 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" -1952 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) -1953 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker -1954 customStat = {} # custom statistics in additional to responseJSON -1955 -1956 # --- output report in human-readable format: -1957 if printDeals or self.reportFile: -1958 splitLine1 = "| | | | |\n" # Summary section -1959 splitLine2 = "| | | | | | | |\n" # Operations section -1960 nextDay = "" -1961 -1962 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] -1963 -1964 if len(ops) > 0: -1965 customStat = { -1966 "opsCount": 0, # total operations count -1967 "buyCount": 0, # buy operations -1968 "sellCount": 0, # sell operations -1969 "buyTotal": {"rub": 0.}, # Buy sums in different currencies -1970 "sellTotal": {"rub": 0.}, # Sell sums in different currencies -1971 "payIn": {"rub": 0.}, # Deposit brokerage account -1972 "payOut": {"rub": 0.}, # Withdrawals -1973 "divs": {"rub": 0.}, # Dividends income -1974 "coupons": {"rub": 0.}, # Coupon's income -1975 "brokerCom": {"rub": 0.}, # Service commissions -1976 "serviceCom": {"rub": 0.}, # Service commissions -1977 "marginCom": {"rub": 0.}, # Margin commissions -1978 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections -1979 } -1980 -1981 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: -1982 for item in ops: -1983 if item["state"] == "OPERATION_STATE_EXECUTED": -1984 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -1985 -1986 # count buy operations: -1987 if "_BUY" in item["operationType"]: -1988 customStat["buyCount"] += 1 -1989 -1990 if item["payment"]["currency"] in customStat["buyTotal"].keys(): -1991 customStat["buyTotal"][item["payment"]["currency"]] += payment -1992 -1993 else: -1994 customStat["buyTotal"][item["payment"]["currency"]] = payment -1995 -1996 # count sell operations: -1997 elif "_SELL" in item["operationType"]: -1998 customStat["sellCount"] += 1 -1999 -2000 if item["payment"]["currency"] in customStat["sellTotal"].keys(): -2001 customStat["sellTotal"][item["payment"]["currency"]] += payment -2002 -2003 else: -2004 customStat["sellTotal"][item["payment"]["currency"]] = payment -2005 -2006 # count incoming operations: -2007 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: -2008 if item["payment"]["currency"] in customStat["payIn"].keys(): -2009 customStat["payIn"][item["payment"]["currency"]] += payment -2010 -2011 else: -2012 customStat["payIn"][item["payment"]["currency"]] = payment -2013 -2014 # count withdrawals operations: -2015 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: -2016 if item["payment"]["currency"] in customStat["payOut"].keys(): -2017 customStat["payOut"][item["payment"]["currency"]] += payment -2018 -2019 else: -2020 customStat["payOut"][item["payment"]["currency"]] = payment -2021 -2022 # count dividends income: -2023 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: -2024 if item["payment"]["currency"] in customStat["divs"].keys(): -2025 customStat["divs"][item["payment"]["currency"]] += payment -2026 -2027 else: -2028 customStat["divs"][item["payment"]["currency"]] = payment -2029 -2030 # count coupon's income: -2031 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: -2032 if item["payment"]["currency"] in customStat["coupons"].keys(): -2033 customStat["coupons"][item["payment"]["currency"]] += payment -2034 -2035 else: -2036 customStat["coupons"][item["payment"]["currency"]] = payment -2037 -2038 # count broker commissions: -2039 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: -2040 if item["payment"]["currency"] in customStat["brokerCom"].keys(): -2041 customStat["brokerCom"][item["payment"]["currency"]] += payment -2042 -2043 else: -2044 customStat["brokerCom"][item["payment"]["currency"]] = payment -2045 -2046 # count service commissions: -2047 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: -2048 if item["payment"]["currency"] in customStat["serviceCom"].keys(): -2049 customStat["serviceCom"][item["payment"]["currency"]] += payment -2050 -2051 else: -2052 customStat["serviceCom"][item["payment"]["currency"]] = payment -2053 -2054 # count margin commissions: -2055 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: -2056 if item["payment"]["currency"] in customStat["marginCom"].keys(): -2057 customStat["marginCom"][item["payment"]["currency"]] += payment -2058 -2059 else: -2060 customStat["marginCom"][item["payment"]["currency"]] = payment -2061 -2062 # count withholding taxes: -2063 elif "_TAX" in item["operationType"]: -2064 if item["payment"]["currency"] in customStat["allTaxes"].keys(): -2065 customStat["allTaxes"][item["payment"]["currency"]] += payment -2066 -2067 else: -2068 customStat["allTaxes"][item["payment"]["currency"]] = payment -2069 -2070 else: -2071 continue -2072 -2073 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] -2074 -2075 # --- view "Actions" lines: -2076 info.extend([ -2077 "| 1 | 2 | 3 | 4 | 5\n", -2078 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------\n", -2079 "| **Actions:** | Trades: {:<21} | Trading volumes: | |\n".format(customStat["opsCount"]), -2080 "| | Buy: {:<22} | {:<28} | |\n".format( -2081 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2082 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", -2083 ), -2084 "| | Sell: {:<21} | {:<28} | |\n".format( -2085 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2086 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", -2087 ), -2088 ]) -2089 -2090 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) -2091 for key in opsKeys: -2092 if key == "rub": -2093 continue -2094 -2095 info.extend([ -2096 "| | | {:<28} | |\n".format( -2097 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) -2098 ), -2099 "| | | {:<28} | |\n".format( -2100 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) -2101 ), -2102 ]) -2103 -2104 info.append(splitLine1) -2105 -2106 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: -2107 return "| | {:<29} | {:<28} | {:<20} | {:<22}\n".format( -2108 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", -2109 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", -2110 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", -2111 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", -2112 ) -2113 -2114 # --- view "Payments" lines: -2115 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income:\n") -2116 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) -2117 -2118 for key in paymentsKeys: -2119 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) -2120 -2121 info.append(splitLine1) -2122 -2123 # --- view "Commissions and taxes" lines: -2124 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections:\n") -2125 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) -2126 -2127 for key in comKeys: -2128 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) -2129 -2130 info.append(splitLine1) -2131 -2132 info.extend([ -2133 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), -2134 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type\n", -2135 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------\n", -2136 ]) -2137 -2138 else: -2139 info.append("Broker returned no operations during this period\n") -2140 -2141 # --- view "Operations" section: -2142 for item in ops: -2143 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: -2144 continue -2145 -2146 else: -2147 self.figi = item["figi"] if item["figi"] else "" -2148 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -2149 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} -2150 -2151 # group of deals during one day: -2152 if nextDay and item["date"].split("T")[0] != nextDay: -2153 info.append(splitLine2) -2154 nextDay = "" -2155 -2156 else: -2157 nextDay = item["date"].split("T")[0] # saving current day for splitting -2158 -2159 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {}\n".format( -2160 item["date"].replace("T", " ").replace("Z", "").split(".")[0], -2161 self.figi if self.figi else "—", -2162 instrument["ticker"] if instrument else "—", -2163 instrument["type"] if instrument else "—", -2164 item["quantity"] if int(item["quantity"]) > 0 else "—", -2165 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", -2166 TKS_OPERATION_STATES[item["state"]], -2167 TKS_OPERATION_TYPES[item["operationType"]], -2168 )) -2169 -2170 infoText = "".join(info) -2171 -2172 if printDeals: -2173 uLogger.info(infoText) -2174 -2175 if self.reportFile: -2176 with open(self.reportFile, "w", encoding="UTF-8") as fH: -2177 fH.write(infoText) -2178 -2179 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) -2180 -2181 return ops, customStat -2182 -2183 def History(self, onlyMissing: bool = False): -2184 """ -2185 This method returns last history candles of the current instrument defined by `ticker`. -2186 If `historyFile` is not None then method save history to this file, otherwise return only pandas dataframe. -2187 `historyLength` define how many candles returns from past to current date. -2188 `historyInterval` define candle interval. Available values are strings: `"1min"`, `"2min"`, `"3min"`, `"5min"`, -2189 `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`. -2190 Maximum requested history date in the past: `1970.01.02 03:45` -2191 -2192 :param onlyMissing: if history file define then add only last missing candles, do not request all history length. False by default. -2193 WARNING! History appends only from last candle to current time with replace last candle! Intervals must be similar! -2194 :return: pandas dataframe with prices history. Columns: `date`, `time`, `open`, `high`, `low`, `close`, `volume`. -2195 """ -2196 history = None # empty pandas object for history -2197 # TODO: update history to work with api v2 -2198 # if self.historyLength < 1: -2199 # raise Exception("History length parameter must be >=1!") -2200 # -2201 # if self.historyInterval not in TKS_TIMEFRAMES.keys(): -2202 # raise Exception("Interval parameter must be string with available values: 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month.") -2203 # -2204 # if not (self.ticker or self.figi): -2205 # raise Exception("self.ticker or self.figi variables must be defined!") -2206 # -2207 # if self.ticker and not self.figi: -2208 # instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) -2209 # self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" -2210 # -2211 # endDate = datetime.now(tzutc()) # current time for request history -2212 # tempOld = None # pandas object for old history, if --only-missing key present -2213 # lastTime = None # datetime object of last old candle in file -2214 # minStartDate = datetime.strptime("1970.01.02 03:45", "%Y.%m.%d %H:%M").astimezone(tzutc()) # Maximum requested history date in the past -2215 # -2216 # # get old history saved earlier in file: -2217 # if onlyMissing and self.historyFile and os.path.exists(self.historyFile): -2218 # uLogger.debug("--only-missing key present, so auto decreasing --length value...") -2219 # uLogger.debug("Only append missing last history candles at the end of the file [{}]".format(os.path.abspath(self.historyFile))) -2220 # -2221 # tempOld = pd.read_csv(self.historyFile, sep=",", header=None, names=["date", "time", "open", "high", "low", "close", "volume"]) -2222 # -2223 # tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" -2224 # tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string -2225 # tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" -2226 # tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string -2227 # -2228 # # get last datetime object from last string in file or minus 1 delta if file is empty: -2229 # if len(tempOld) > 0: -2230 # lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2231 # -2232 # else: -2233 # lastTime = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"]) -2234 # uLogger.warning("No history in file, set last date to request at [{}]".format(lastTime)) -2235 # -2236 # delta = endDate - lastTime # current time minus last time in file -2237 # deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between last datetime and current datetime -2238 # -2239 # # calculate new (decreased) history length to download: -2240 # self.historyLength = deltaMinutes // TKS_TIMEFRAMES[self.historyInterval]["minutes"] -2241 # if deltaMinutes % TKS_TIMEFRAMES[self.historyInterval]["minutes"] > 0: -2242 # self.historyLength += 1 # to avoid fraction time -2243 # -2244 # tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time -2245 # -2246 # if self.figi: -2247 # blocks = 1 if self.historyLength <= TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] else 1 + self.historyLength // TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2248 # responseJSONs = [] # raw history blocks -2249 # -2250 # uLogger.debug("Request last history from Tinkoff Broker server for ticker [{}], FIGI [{}]...".format(self.ticker, self.figi)) -2251 # -2252 # uLogger.debug("Requested history length: [{}], interval: [{}]".format(self.historyLength, self.historyInterval)) -2253 # uLogger.debug("User requested time period is about from [{}] to [{}]".format( -2254 # (endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * self.historyLength)).strftime("%Y-%m-%d %H:%M:%S"), -2255 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2256 # )) -2257 # -2258 # uLogger.debug("Blocks count: [{}], max candles in block for this interval: [{}]".format(blocks, TKS_TIMEFRAMES[self.historyInterval]["maxCandles"])) -2259 # -2260 # oldFlag = False -2261 # for item in range(blocks): -2262 # tail = self.historyLength % TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] if item + 1 == blocks else TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2263 # startDate = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * tail) -2264 # -2265 # if startDate < minStartDate: -2266 # startDate = minStartDate # set minimum date in the past if delta is too long -2267 # uLogger.debug("Date in the past is too old for request. Set start time to [{}]".format(minStartDate.strftime("%Y-%m-%d %H:%M:%S"))) -2268 # oldFlag = True -2269 # -2270 # uLogger.debug("Block time period: from [{}] to [{}] ({}/{})".format( -2271 # startDate.strftime("%Y-%m-%d %H:%M:%S"), -2272 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2273 # item + 1, -2274 # blocks, -2275 # )) -2276 # -2277 # historyURL = self.server + r"/market/candles?figi={}&from={}&to={}&interval={}".format( -2278 # self.figi, -2279 # quote(startDate.isoformat()), -2280 # quote(endDate.isoformat()), -2281 # self.historyInterval, -2282 # ) -2283 # responseJSON = self.SendAPIRequest(historyURL, debug=False)["payload"]["candles"] -2284 # -2285 # responseJSONs = responseJSON + responseJSONs # add more old history behind newest dates -2286 # endDate = startDate -2287 # -2288 # if oldFlag: break -2289 # -2290 # if responseJSONs: -2291 # tempHistory = pd.DataFrame( -2292 # data={ -2293 # "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2294 # "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2295 # "open": [item["o"] for item in responseJSONs], -2296 # "high": [item["h"] for item in responseJSONs], -2297 # "low": [item["l"] for item in responseJSONs], -2298 # "close": [item["c"] for item in responseJSONs], -2299 # "volume": [item["v"] for item in responseJSONs], -2300 # }, -2301 # index=range(len(responseJSONs)), -2302 # columns=["date", "time", "open", "high", "low", "close", "volume"], -2303 # ) -2304 # tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") -2305 # tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") -2306 # -2307 # # append only newest candles to old history if --only-missing key present: -2308 # if onlyMissing and tempOld is not None and lastTime is not None: -2309 # indx = 0 # find start index in given from server tempHistory data: -2310 # for i, item in tempHistory.iterrows(): -2311 # curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2312 # if curTime == lastTime: -2313 # uLogger.debug("History candles will be updated starting from the candle with date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) -2314 # indx = i -2315 # break -2316 # -2317 # history = tempOld.append(tempHistory[indx:], ignore_index=True) -2318 # -2319 # else: -2320 # history = tempHistory # if no --only-missing key then load full data from server -2321 # -2322 # uLogger.debug("Showing last 3 rows of candles history:") -2323 # for line in pd.DataFrame.to_string( -2324 # history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], -2325 # max_cols=20, -2326 # ).split("\n"): -2327 # uLogger.debug(line) -2328 # -2329 # if self.historyFile is not None: -2330 # if history is not None: -2331 # history.to_csv(self.historyFile, sep=",", index=False, header=False) -2332 # uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format( -2333 # self.ticker, -2334 # self.figi, -2335 # self.historyInterval, -2336 # os.path.abspath(self.historyFile), -2337 # )) -2338 # -2339 # else: -2340 # uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) -2341 # -2342 # else: -2343 # uLogger.debug("--output key is not defined. Parsed history file not saved to .csv-file, only pandas dataframe returns.") -2344 -2345 return history -2346 -2347 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2348 """ -2349 Universal method to create market order and make deal at the current price. Returns JSON data with response. -2350 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2351 -2352 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. -2353 -2354 :param operation: string "Buy" or "Sell". -2355 :param lots: volume, integer count of lots >= 1. -2356 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. -2357 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. -2358 :param expDate: string "Undefined" by default or local date in future, -2359 it is a string with format `%Y-%m-%d %H:%M:%S`. -2360 :return: JSON with response from broker server. -2361 """ -2362 if operation is None or not operation or operation not in ("Buy", "Sell"): -2363 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2364 -2365 if lots is None or lots < 1: -2366 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") -2367 lots = 1 -2368 -2369 if tp is None or tp < 0: -2370 tp = 0 -2371 -2372 if sl is None or sl < 0: -2373 sl = 0 -2374 -2375 if expDate is None or not expDate: -2376 expDate = "Undefined" -2377 -2378 if not (self.ticker or self.figi): -2379 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2380 -2381 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2382 self.ticker = instrument["ticker"] -2383 self.figi = instrument["figi"] -2384 -2385 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) -2386 -2387 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2388 self.body = str({ -2389 "figi": self.figi, -2390 "quantity": str(lots), -2391 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2392 "accountId": str(self.accountId), -2393 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES -2394 }) -2395 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) -2396 -2397 if "orderId" in response.keys(): -2398 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( -2399 operation, response["orderId"], -2400 self.ticker, self.figi, lots, -2401 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], -2402 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], -2403 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], -2404 )) -2405 -2406 else: -2407 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") -2408 -2409 if tp > 0: -2410 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) -2411 -2412 if sl > 0: -2413 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) -2414 -2415 return response -2416 -2417 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2418 """ -2419 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. -2420 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2421 -2422 See also: `Order()` and `Trade()` docstrings. -2423 -2424 :param lots: volume, integer count of lots >= 1. -2425 :param tp: float > 0, take profit price of stop-order. -2426 :param sl: float > 0, stop loss price of stop-order. -2427 :param expDate: it's a local date in future. -2428 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2429 :return: JSON with response from broker server. -2430 """ -2431 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate) -2432 -2433 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2434 """ -2435 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. -2436 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2437 -2438 See also: `Order()` and `Trade()` docstrings. -2439 -2440 :param lots: volume, integer count of lots >= 1. -2441 :param tp: float > 0, take profit price of stop-order. -2442 :param sl: float > 0, stop loss price of stop-order. -2443 :param expDate: it's a local date in future. -2444 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2445 :return: JSON with response from broker server. -2446 """ -2447 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate) -2448 -2449 def CloseTrades(self, tickers: list, overview: dict = None) -> None: -2450 """ -2451 Close position of given instruments. -2452 -2453 :param tickers: tickers list of instruments that must be closed. -2454 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2455 This avoids unnecessary downloading data from the server. -2456 """ -2457 if not tickers: -2458 uLogger.info("Tickers list is empty, nothing to close.") -2459 -2460 else: -2461 if overview is None or not overview: -2462 overview = self.Overview(showStatistics=False) -2463 -2464 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] -2465 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) -2466 -2467 for ticker in tickers: -2468 if ticker not in allOpenedTickers: -2469 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) -2470 continue -2471 -2472 # search open trade info about instrument by ticker: -2473 instrument = {} -2474 for iType in TKS_INSTRUMENTS: -2475 if instrument: -2476 break -2477 -2478 for item in overview["stat"][iType]: -2479 if item["ticker"] == ticker: -2480 instrument = item -2481 break -2482 -2483 if instrument: -2484 self.ticker = ticker -2485 self.figi = instrument["figi"] -2486 -2487 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( -2488 self.ticker, -2489 self.figi, -2490 int(instrument["volume"]), -2491 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", -2492 )) -2493 -2494 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation -2495 -2496 if tradeLots > 0: -2497 if instrument["blocked"] > 0: -2498 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( -2499 instrument["blocked"], -2500 self.ticker, -2501 tradeLots, -2502 )) -2503 -2504 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: -2505 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) -2506 -2507 else: -2508 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker)) -2509 -2510 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: -2511 """ -2512 Close all positions of given instruments with defined type. -2513 -2514 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. -2515 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2516 This avoids unnecessary downloading data from the server. -2517 """ -2518 if iType not in TKS_INSTRUMENTS: -2519 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) -2520 -2521 else: -2522 if overview is None or not overview: -2523 overview = self.Overview(showStatistics=False) -2524 -2525 tickers = [item["ticker"] for item in overview["stat"][iType]] -2526 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) -2527 -2528 if tickers and overview: -2529 self.CloseTrades(tickers, overview) -2530 -2531 else: -2532 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType)) -2533 -2534 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2535 """ -2536 Universal method to create market or limit orders with all available parameters. -2537 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. -2538 -2539 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above -2540 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. -2541 -2542 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" -2543 then broker immediately open market order as you can do simple --buy or --sell operations! -2544 -2545 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". -2546 When current price will go up or down to target price value then broker opens a limit order. -2547 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. -2548 -2549 Only one attempt and no retry for opens order. If network issue occurred you can create new request. -2550 -2551 :param operation: string "Buy" or "Sell". -2552 :param orderType: string "Limit" or "Stop". -2553 :param lots: volume, integer count of lots >= 1. -2554 :param targetPrice: target price > 0. This is open trade price for limit order. -2555 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. -2556 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. -2557 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types -2558 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2559 Stop loss order always executed by market price. -2560 :param expDate: string "Undefined" by default or local date in future. -2561 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2562 This date is converting to UTC format for server. This parameter only makes sense for stop-order. -2563 A limit order has no expiration date, it lasts until the end of the trading day. -2564 :return: JSON with response from broker server. -2565 """ -2566 if operation is None or not operation or operation not in ("Buy", "Sell"): -2567 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2568 -2569 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): -2570 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") -2571 -2572 if lots is None or lots < 1: -2573 raise Exception("You must define trade volume > 0: integer count of lots!") -2574 -2575 if targetPrice is None or targetPrice <= 0: -2576 raise Exception("Target price for limit-order must be greater than 0!") -2577 -2578 if limitPrice is None or limitPrice <= 0: -2579 limitPrice = targetPrice -2580 -2581 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): -2582 stopType = "Limit" -2583 -2584 if expDate is None or not expDate: -2585 expDate = "Undefined" -2586 -2587 if not (self.ticker or self.figi): -2588 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2589 -2590 response = {} -2591 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2592 self.ticker = instrument["ticker"] -2593 self.figi = instrument["figi"] -2594 -2595 if orderType == "Limit": -2596 uLogger.debug( -2597 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( -2598 self.ticker, self.figi, -2599 operation, lots, targetPrice, instrument["currency"], -2600 )) -2601 -2602 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2603 self.body = str({ -2604 "figi": self.figi, -2605 "quantity": str(lots), -2606 "price": FloatToNano(targetPrice), -2607 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2608 "accountId": str(self.accountId), -2609 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES -2610 }) -2611 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2612 -2613 if "orderId" in response.keys(): -2614 uLogger.info( -2615 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( -2616 response["orderId"], -2617 self.ticker, self.figi, -2618 operation, lots, targetPrice, instrument["currency"], -2619 )) -2620 -2621 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2622 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: -2623 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( -2624 targetPrice, instrument["currency"], -2625 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2626 )) -2627 -2628 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: -2629 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( -2630 targetPrice, instrument["currency"], -2631 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2632 )) -2633 -2634 else: -2635 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") -2636 -2637 if orderType == "Stop": -2638 uLogger.debug( -2639 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( -2640 self.ticker, self.figi, -2641 operation, lots, -2642 targetPrice, instrument["currency"], -2643 limitPrice, instrument["currency"], -2644 stopType, expDate, -2645 )) -2646 -2647 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" -2648 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") -2649 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" -2650 -2651 body = { -2652 "figi": self.figi, -2653 "quantity": str(lots), -2654 "price": FloatToNano(limitPrice), -2655 "stopPrice": FloatToNano(targetPrice), -2656 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS -2657 "accountId": str(self.accountId), -2658 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES -2659 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES -2660 } -2661 -2662 if expDateUTC: -2663 body["expireDate"] = expDateUTC -2664 -2665 self.body = str(body) -2666 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2667 -2668 if "stopOrderId" in response.keys(): -2669 uLogger.info( -2670 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( -2671 response["stopOrderId"], -2672 self.ticker, self.figi, -2673 operation, lots, -2674 targetPrice, instrument["currency"], -2675 limitPrice, instrument["currency"], -2676 TKS_STOP_ORDER_TYPES[stopOrderType], -2677 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], -2678 )) -2679 -2680 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2681 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2682 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2683 targetPrice, instrument["currency"], -2684 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2685 )) -2686 -2687 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2688 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2689 targetPrice, instrument["currency"], -2690 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2691 )) -2692 -2693 else: -2694 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") -2695 -2696 return response -2697 -2698 def BuyLimit(self, lots: int, targetPrice: float) -> dict: -2699 """ -2700 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: -2701 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then -2702 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! -2703 See also: `Order()` docstring. -2704 -2705 :param lots: volume, integer count of lots >= 1. -2706 :param targetPrice: target price > 0. This is open trade price for limit order. -2707 :return: JSON with response from broker server. -2708 """ -2709 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice) -2710 -2711 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2712 """ -2713 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. -2714 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2715 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2716 target price value then broker opens a limit order. See also: `Order()` docstring. -2717 -2718 :param lots: volume, integer count of lots >= 1. -2719 :param targetPrice: target price > 0. This is trigger price for buy stop-order. -2720 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2721 with price equal to limitPrice, when current price goes to target price of buy stop-order. -2722 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2723 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2724 :param expDate: string "Undefined" by default or local date in future. -2725 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2726 This date is converting to UTC format for server. -2727 :return: JSON with response from broker server. -2728 """ -2729 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) -2730 -2731 def SellLimit(self, lots: int, targetPrice: float) -> dict: -2732 """ -2733 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: -2734 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then -2735 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! -2736 See also: `Order()` docstring. -2737 -2738 :param lots: volume, integer count of lots >= 1. -2739 :param targetPrice: target price > 0. This is open trade price for limit order. -2740 :return: JSON with response from broker server. -2741 """ -2742 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice) -2743 -2744 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2745 """ -2746 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. -2747 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2748 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2749 target price value then broker opens a limit order. See also: `Order()` docstring. -2750 -2751 :param lots: volume, integer count of lots >= 1. -2752 :param targetPrice: target price > 0. This is trigger price for sell stop-order. -2753 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2754 with price equal to limitPrice, when current price goes to target price of sell stop-order. -2755 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2756 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2757 :param expDate: string "Undefined" by default or local date in future. -2758 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2759 This date is converting to UTC format for server. -2760 :return: JSON with response from broker server. -2761 """ -2762 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) -2763 -2764 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: -2765 """ -2766 Cancel order or list of orders by its `orderId` or `stopOrderId`. -2767 -2768 :param orderIDs: list of integers with `orderId` or `stopOrderId`. -2769 :param allOrdersIDs: pre-received lists of all active pending orders. -2770 This avoids unnecessary downloading data from the server. -2771 :param allStopOrdersIDs: pre-received lists of all active stop orders. -2772 """ -2773 if orderIDs: -2774 if allOrdersIDs is None or not allOrdersIDs: -2775 rawOrders = self.RequestPendingOrders() -2776 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2777 -2778 if allStopOrdersIDs is None or not allStopOrdersIDs: -2779 rawStopOrders = self.RequestStopOrders() -2780 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2781 -2782 for orderID in orderIDs: -2783 idInPendingOrders = orderID in allOrdersIDs -2784 idInStopOrders = orderID in allStopOrdersIDs -2785 -2786 if not (idInPendingOrders or idInStopOrders): -2787 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) -2788 continue -2789 -2790 else: -2791 if idInPendingOrders: -2792 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) -2793 -2794 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder -2795 self.body = str({"accountId": self.accountId, "orderId": orderID}) -2796 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" -2797 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2798 -2799 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2800 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2801 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) -2802 -2803 else: -2804 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) -2805 -2806 elif idInStopOrders: -2807 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) -2808 -2809 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder -2810 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) -2811 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" -2812 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2813 -2814 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2815 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2816 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) -2817 -2818 else: -2819 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) -2820 -2821 else: -2822 continue -2823 -2824 def CloseAllOrders(self) -> None: -2825 """ -2826 Gets a list of open pending and stop orders and cancel it all. -2827 """ -2828 rawOrders = self.RequestPendingOrders() -2829 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2830 lenOrders = len(allOrdersIDs) -2831 -2832 rawStopOrders = self.RequestStopOrders() -2833 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2834 lenSOrders = len(allStopOrdersIDs) -2835 -2836 if lenOrders > 0 or lenSOrders > 0: -2837 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) -2838 -2839 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) -2840 -2841 else: -2842 uLogger.info("Orders not found, nothing to cancel.") -2843 -2844 def CloseAll(self, *args) -> None: -2845 """ -2846 Close all available (not blocked) opened trades and orders. -2847 -2848 Also you can select one or more keywords case insensitive: -2849 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. -2850 -2851 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. -2852 """ -2853 overview = self.Overview(showStatistics=False) # get all open trades info -2854 -2855 if len(args) == 0: -2856 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") -2857 self.CloseAllOrders() # close all pending and stop orders -2858 -2859 for iType in TKS_INSTRUMENTS: -2860 if iType != "Currencies": -2861 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies -2862 -2863 else: -2864 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) -2865 lowerArgs = [x.lower() for x in args] -2866 -2867 if "orders" in lowerArgs: -2868 self.CloseAllOrders() # close all pending and stop orders -2869 -2870 for iType in TKS_INSTRUMENTS: -2871 if iType.lower() in lowerArgs and iType != "Currencies": -2872 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies -2873 -2874 @staticmethod -2875 def ParseOrderParameters(operation, **inputParameters): -2876 """ -2877 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. -2878 -2879 :param operation: string "Buy" or "Sell". -2880 :param inputParameters: this is dict of strings that looks like this -2881 `{"lots": "L_int,...", "prices": "P_float,..."}` where -2882 "lots" key: one or more lot values (integer numbers) to open with every limit-order -2883 "prices" key: one or more prices to open limit-orders -2884 Counts of values in lots and prices lists must be equals! -2885 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` -2886 """ -2887 # TODO: update order grid work with api v2 -2888 pass -2889 # uLogger.debug("Input parameters: {}".format(inputParameters)) -2890 # -2891 # if operation is None or not operation or operation not in ("Buy", "Sell"): -2892 # raise Exception("You must define operation type: 'Buy' or 'Sell'!") -2893 # -2894 # if "l" in inputParameters.keys(): -2895 # inputParameters["lots"] = inputParameters.pop("l") -2896 # -2897 # if "p" in inputParameters.keys(): -2898 # inputParameters["prices"] = inputParameters.pop("p") -2899 # -2900 # if "lots" not in inputParameters.keys() or "prices" not in inputParameters.keys(): -2901 # raise Exception("Both of 'lots' and 'prices' keys must be define to open grid orders!") -2902 # -2903 # lots = [int(item.strip()) for item in inputParameters["lots"].split(",")] -2904 # prices = [float(item.strip()) for item in inputParameters["prices"].split(",")] -2905 # -2906 # if len(lots) != len(prices): -2907 # raise Exception("'lots' and 'prices' lists must have equal length of values!") -2908 # -2909 # uLogger.debug("Extracted parameters for orders:") -2910 # uLogger.debug("lots = {}".format(lots)) -2911 # uLogger.debug("prices = {}".format(prices)) -2912 # -2913 # # list of dictionaries with order's parameters: [{"lot": lots_1, "price": price_1}, {...}, ...] -2914 # result = [{"lot": lots[item], "price": prices[item]} for item in range(len(prices))] -2915 # uLogger.debug("Order parameters: {}".format(result)) -2916 # -2917 # return result -2918 -2919 def IsInPortfolio(self, portfolio: dict = None) -> bool: -2920 """ -2921 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. -2922 -2923 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2924 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. -2925 """ -2926 result = False -2927 msg = "Instrument not defined!" -2928 -2929 if portfolio is None or not portfolio: -2930 portfolio = self.Overview(showStatistics=False) -2931 -2932 if self.ticker: -2933 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2934 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2935 -2936 for iType in TKS_INSTRUMENTS: -2937 for instrument in portfolio["stat"][iType]: -2938 if instrument["ticker"] == self.ticker: -2939 result = True -2940 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) -2941 break -2942 -2943 elif self.figi: -2944 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2945 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2946 -2947 for iType in TKS_INSTRUMENTS: -2948 for instrument in portfolio["stat"][iType]: -2949 if instrument["figi"] == self.figi: -2950 result = True -2951 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) -2952 break -2953 -2954 else: -2955 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -2956 -2957 uLogger.debug(msg) -2958 -2959 return result -2960 -2961 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: -2962 """ -2963 Returns instrument is in the user's portfolio if it presents there. -2964 Instrument must be defined by `ticker` (highly priority) or `figi`. -2965 -2966 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2967 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. -2968 """ -2969 result = None -2970 msg = "Instrument not defined!" -2971 -2972 if portfolio is None or not portfolio: -2973 portfolio = self.Overview(showStatistics=False) -2974 -2975 if self.ticker: -2976 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2977 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2978 -2979 for iType in TKS_INSTRUMENTS: -2980 for instrument in portfolio["stat"][iType]: -2981 if instrument["ticker"] == self.ticker: -2982 result = instrument -2983 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) -2984 break -2985 -2986 elif self.figi: -2987 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2988 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2989 -2990 for iType in TKS_INSTRUMENTS: -2991 for instrument in portfolio["stat"][iType]: -2992 if instrument["figi"] == self.figi: -2993 result = instrument -2994 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) -2995 break -2996 -2997 else: -2998 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -2999 -3000 uLogger.debug(msg) -3001 -3002 return result -3003 -3004 -3005class Args: -3006 """ -3007 If `Main()` function is imported as module, then this class used to convert arguments from **kwargs as object. -3008 """ -3009 def __init__(self, **kwargs): -3010 self.__dict__.update(kwargs) -3011 -3012 def __getattr__(self, item): -3013 return None -3014 -3015 -3016def ParseArgs(): -3017 """ -3018 Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/ -3019 """ -3020 parser = ArgumentParser() # command-line string parser -3021 -3022 parser.description = "TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol. It can view history, orders and market information. Also, you can open orders and trades. See examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples" -3023 parser.usage = "\n/as module/ python TKSBrokerAPI.py [some options] [one command]\n/as CLI tool/ tksbrokerapi [some options] [one command]" -3024 -3025 # --- options: -3026 -3027 parser.add_argument("--no-cache", action="store_true", default=False, help="Option: not use local cache `dump.json`, but update raw instruments data when starting the program. `False` by default.") -3028 parser.add_argument("--token", type=str, help="Option: Tinkoff service's api key. If not set then used environment variable `TKS_API_TOKEN`. See how to use: https://tinkoff.github.io/investAPI/token/") -3029 parser.add_argument("--account-id", type=str, default=None, help="Option: string with an user numeric account ID in Tinkoff Broker. It can be found in any broker's reports (see the contract number). Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`.") -3030 -3031 parser.add_argument("--ticker", "-t", type=str, help="Option: instrument's ticker, e.g. `IBM`, `YNDX`, `GOOGL` etc. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR`.") -3032 parser.add_argument("--figi", "-f", type=str, help="Option: instrument's FIGI, e.g. `BBG006L8G4H1` (for `YNDX`).") -3033 -3034 parser.add_argument("--depth", type=int, default=1, help="Option: Depth of Market (DOM) can be >=1, 1 by default.") -3035 parser.add_argument("--no-cancelled", "--no-canceled", action="store_true", default=False, help="Option: remove information about cancelled operations from the deals report by the `--deals` key. `False` by default.") -3036 -3037 parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If None then used default files.") -3038 -3039 # parser.add_argument("--length", type=int, default=24, help="Option: how many last candles returns for history. Used only with --history key.") -3040 # parser.add_argument("--interval", type=str, default="60", help="Option: available values are 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month. Used only with `--history` key. This is time period used in 'interval' api parameter. Default: `--interval=60` that means 60 min for every history candles.") -3041 # parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. False by default.") -3042 -3043 parser.add_argument("--debug-level", "--verbosity", "-v", type=int, default=20, help="Option: showing STDOUT messages of minimal debug level, e.g. 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 = ERROR, 50 = CRITICAL. INFO (20) by default.") -3044 -3045 # --- commands: -3046 -3047 parser.add_argument("--list", "-l", action="store_true", help="Action: get and print all available instruments and some information from broker server. Also, you can define `--output` key to save list of instruments to file, default: `instruments.md`.") -3048 parser.add_argument("--search", "-s", type=str, nargs=1, help="Action: search for an instruments by part of the name, ticker or FIGI. Also, you can define `--output` key to save results to file, default: `search-results.md`.") -3049 parser.add_argument("--info", "-i", action="store_true", help="Action: get information from broker server about instrument by it's ticker or FIGI. `--ticker` key or `--figi` key must be defined!") -3050 parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use --depth key. `--ticker` key or `--figi` key must be defined!") -3051 parser.add_argument("--prices", "-p", type=str, nargs="+", help="Action: get and print current prices for list of given instruments (by it's tickers or by FIGIs). WARNING! This is too long operation if you request a lot of instruments! Also, you can define `--output` key to save list of prices to file, default: `prices.md`.") -3052 -3053 parser.add_argument("--overview", "-o", action="store_true", help="Action: show all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") -3054 parser.add_argument("--deals", "-d", type=str, nargs="*", help="Action: show all deals between two given dates. Start day may be an integer number: -1, -2, -3 days ago. Also, you can use keywords: `today`, `yesterday` (-1), `week` (-7), `month` (-30) and `year` (-365). Dates format must be: `%%Y-%%m-%%d`, e.g. 2020-02-03. With `--no-cancelled` key information about cancelled operations will be removed from the deals report. Also, you can define `--output` key to save all deals to file, default: `deals.md`.") -3055 # parser.add_argument("--history", action="store_true", help="Action: get last (--length) history candles from past to current time with (--interval) values. Also, you can define `--output` key to save history candles to .csv-file.") -3056 -3057 parser.add_argument("--trade", nargs="*", help="Action: universal action to open market position for defined ticker or FIGI. You must specify 1-5 parameters: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. See examples in readme.") -3058 parser.add_argument("--buy", nargs="*", help="Action: immediately open BUY market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") -3059 parser.add_argument("--sell", nargs="*", help="Action: immediately open SELL market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") -3060 -3061 parser.add_argument("--order", nargs="*", help="Action: universal action to open limit or stop-order in any directions. You must specify 4-7 parameters: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]]. See examples in readme.") -3062 parser.add_argument("--buy-limit", type=float, nargs=2, help="Action: open pending BUY limit-order (below current price). You must specify only 2 parameters: [lots] [target price] to open BUY limit-order. If you try to create `Buy` limit-order above current price then broker immediately open `Buy` market order, such as if you do simple `--buy` operation!") -3063 parser.add_argument("--sell-limit", type=float, nargs=2, help="Action: open pending SELL limit-order (above current price). You must specify only 2 parameters: [lots] [target price] to open SELL limit-order. If you try to create `Sell` limit-order below current price then broker immediately open `Sell` market order, such as if you do simple `--sell` operation!") -3064 parser.add_argument("--buy-stop", nargs="*", help="Action: open BUY stop-order. You must specify at least 2 parameters: [lots] [target price] to open BUY stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") -3065 parser.add_argument("--sell-stop", nargs="*", help="Action: open SELL stop-order. You must specify at least 2 parameters: [lots] [target price] to open SELL stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") -3066 # parser.add_argument("--buy-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending BUY limit-orders (below current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") -3067 # parser.add_argument("--sell-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending SELL limit-orders (above current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") -3068 -3069 parser.add_argument("--close-order", "--cancel-order", type=str, nargs=1, help="Action: close only one order by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") -3070 parser.add_argument("--close-orders", "--cancel-orders", type=str, nargs="+", help="Action: close one or list of orders by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") -3071 parser.add_argument("--close-trade", "--cancel-trade", action="store_true", help="Action: close only one position for instrument defined by `--ticker` key, including for currencies tickers.") -3072 parser.add_argument("--close-trades", "--cancel-trades", type=str, nargs="+", help="Action: close positions for list of tickers, including for currencies tickers.") -3073 parser.add_argument("--close-all", "--cancel-all", type=str, nargs="*", help="Action: close all available (not blocked) opened trades and orders, excluding for currencies. Also you can select one or more keywords case insensitive to specify trades type: `orders`, `shares`, `bonds`, `etfs` and `futures`, but not `currencies`. Currency positions you must closes manually using `--buy`, `--sell`, `--close-trade` or `--close-trades` operations.") -3074 -3075 cmdArgs = parser.parse_args() -3076 return cmdArgs -3077 -3078 -3079def Main(**kwargs): -3080 """ -3081 Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command. -3082 -3083 See examples: https://tim55667757.github.io/TKSBrokerAPI/ -3084 """ -3085 args = Args(**kwargs) if kwargs else ParseArgs() # get and parse command-line parameters or use **kwarg parameters -3086 -3087 if args.debug_level: -3088 uLogger.level = 10 # always debug level by default -3089 uLogger.handlers[0].level = args.debug_level # level for STDOUT -3090 -3091 exitCode = 0 -3092 start = datetime.now(tzutc()) -3093 uLogger.debug("TKSBrokerAPI module started at: [{}] UTC, it is [{}] local time".format( -3094 start.strftime("%Y-%m-%d %H:%M:%S"), -3095 start.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), -3096 )) -3097 -3098 # Init class for trading with Tinkoff Broker: -3099 server = TinkoffBrokerServer( -3100 token=args.token, -3101 accountId=args.account_id, -3102 iList=kwargs["instruments"] if kwargs and "instruments" in kwargs.keys() else None, # re-use iList -3103 useCache=not args.no_cache, -3104 ) -3105 -3106 try: -3107 # --- set some options: -3108 -3109 if args.ticker: -3110 if args.ticker in server.aliasesKeys: -3111 server.ticker = server.aliases[args.ticker] # Replace some tickers with it's aliases -3112 -3113 else: -3114 server.ticker = args.ticker -3115 -3116 if args.figi: -3117 server.figi = args.figi -3118 -3119 if args.depth is not None: -3120 server.depth = args.depth -3121 -3122 # if args.length is not None: -3123 # server.historyLength = args.length -3124 # -3125 # if args.interval is not None: -3126 # server.historyInterval = args.interval -3127 -3128 # --- do one of commands: -3129 -3130 if args.list: -3131 if args.output is not None: -3132 server.instrumentsFile = args.output -3133 -3134 server.ShowInstrumentsInfo(showInstruments=True) -3135 -3136 elif args.search: -3137 if args.output is not None: -3138 server.searchResultsFile = args.output -3139 -3140 server.SearchInstruments(pattern=args.search[0], showResults=True) -3141 -3142 elif args.info: -3143 if not (args.ticker or args.figi): -3144 raise Exception("`--ticker` key or `--figi` key is required for this operation!") -3145 -3146 if args.ticker: -3147 server.SearchByTicker(requestPrice=True, showInfo=True, debug=False) # show info and current prices by ticker name -3148 -3149 else: -3150 server.SearchByFIGI(requestPrice=True, showInfo=True, debug=False) # show info and current prices by FIGI id -3151 -3152 elif args.price: -3153 if not (args.ticker or args.figi): -3154 raise Exception("`--ticker` key or `--figi` key is required for this operation!") -3155 -3156 server.GetCurrentPrices(showPrice=True) -3157 -3158 elif args.prices is not None: -3159 if args.output is not None: -3160 server.pricesFile = args.output -3161 -3162 server.GetListOfPrices(instruments=args.prices, showPrices=True) # WARNING: too long wait for a lot of instruments prices -3163 -3164 elif args.overview: -3165 if args.output is not None: -3166 server.overviewFile = args.output -3167 -3168 server.Overview(showStatistics=True) -3169 -3170 elif args.deals is not None: -3171 if args.output is not None: -3172 server.reportFile = args.output -3173 -3174 if 0 <= len(args.deals) < 3: -3175 server.Deals( -3176 start=args.deals[0] if len(args.deals) >= 1 else None, -3177 end=args.deals[1] if len(args.deals) == 2 else None, -3178 printDeals=True, # Always show deals report in console -3179 showCancelled=not args.no_cancelled, # If --no-cancelled key then remove cancelled operations from the deals report. False by default. -3180 ) -3181 -3182 else: -3183 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") -3184 -3185 # TODO: implement history download and view -3186 # elif args.history: -3187 # if args.output is not None: -3188 # server.historyFile = args.output -3189 # -3190 # server.History(onlyMissing=args.only_missing) -3191 -3192 elif args.trade is not None: -3193 if 1 <= len(args.trade) <= 5: -3194 server.Trade( -3195 operation=args.trade[0], -3196 lots=int(args.trade[1]) if len(args.trade) >= 2 else 1, -3197 tp=float(args.trade[2]) if len(args.trade) >= 3 else 0., -3198 sl=float(args.trade[3]) if len(args.trade) >= 4 else 0., -3199 expDate=args.trade[4] if len(args.trade) == 5 else "Undefined", -3200 ) -3201 -3202 else: -3203 uLogger.error("You must specify 1-5 parameters to open trade: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3204 -3205 elif args.buy is not None: -3206 if 0 <= len(args.buy) <= 4: -3207 server.Buy( -3208 lots=int(args.buy[0]) if len(args.buy) >= 1 else 1, -3209 tp=float(args.buy[1]) if len(args.buy) >= 2 else 0., -3210 sl=float(args.buy[2]) if len(args.buy) >= 3 else 0., -3211 expDate=args.buy[3] if len(args.buy) == 4 else "Undefined", -3212 ) -3213 -3214 else: -3215 uLogger.error("You must specify 0-4 parameters to open buy position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3216 -3217 elif args.sell is not None: -3218 if 0 <= len(args.sell) <= 4: -3219 server.Sell( -3220 lots=int(args.sell[0]) if len(args.sell) >= 1 else 1, -3221 tp=float(args.sell[1]) if len(args.sell) >= 2 else 0., -3222 sl=float(args.sell[2]) if len(args.sell) >= 3 else 0., -3223 expDate=args.sell[3] if len(args.sell) == 4 else "Undefined", -3224 ) -3225 -3226 else: -3227 uLogger.error("You must specify 0-4 parameters to open sell position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3228 -3229 elif args.order: -3230 if 4 <= len(args.order) <= 7: -3231 server.Order( -3232 operation=args.order[0], -3233 orderType=args.order[1], -3234 lots=int(args.order[2]), -3235 targetPrice=float(args.order[3]), -3236 limitPrice=float(args.order[4]) if len(args.order) >= 5 else 0., -3237 stopType=args.order[5] if len(args.order) >= 6 else "Limit", -3238 expDate=args.order[6] if len(args.order) == 7 else "Undefined", -3239 ) -3240 -3241 else: -3242 uLogger.error("You must specify 4-7 parameters to open order: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]]. See: `python TKSBrokerAPI.py --help`") -3243 -3244 elif args.buy_limit: -3245 server.BuyLimit(lots=int(args.buy_limit[0]), targetPrice=args.buy_limit[1]) -3246 -3247 elif args.sell_limit: -3248 server.SellLimit(lots=int(args.sell_limit[0]), targetPrice=args.sell_limit[1]) -3249 -3250 elif args.buy_stop: -3251 if 2 <= len(args.buy_stop) <= 7: -3252 server.BuyStop( -3253 lots=int(args.buy_stop[0]), -3254 targetPrice=float(args.buy_stop[1]), -3255 limitPrice=float(args.buy_stop[2]) if len(args.buy_stop) >= 3 else 0., -3256 stopType=args.buy_stop[3] if len(args.buy_stop) >= 4 else "Limit", -3257 expDate=args.buy_stop[4] if len(args.buy_stop) == 5 else "Undefined", -3258 ) -3259 -3260 else: -3261 uLogger.error("You must specify 2-5 parameters for buy stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3262 -3263 elif args.sell_stop: -3264 if 2 <= len(args.sell_stop) <= 7: -3265 server.SellStop( -3266 lots=int(args.sell_stop[0]), -3267 targetPrice=float(args.sell_stop[1]), -3268 limitPrice=float(args.sell_stop[2]) if len(args.sell_stop) >= 3 else 0., -3269 stopType=args.sell_stop[3] if len(args.sell_stop) >= 4 else "Limit", -3270 expDate=args.sell_stop[4] if len(args.sell_stop) == 5 else "Undefined", -3271 ) -3272 -3273 else: -3274 uLogger.error("You must specify 2-5 parameters for sell stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: python TKSBrokerAPI.py --help") -3275 -3276 # elif args.buy_order_grid is not None: -3277 # # TODO: update order grid work with api v2 -3278 # if len(args.buy_order_grid) == 2: -3279 # orderParams = server.ParseOrderParameters(operation="Buy", **dict(kw.split('=') for kw in args.buy_order_grid)) -3280 # -3281 # for order in orderParams: -3282 # server.Order(operation="Buy", lots=order["lot"], price=order["price"]) -3283 # -3284 # else: -3285 # uLogger.error("To open grid of pending BUY limit-orders (below current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") -3286 # -3287 # elif args.sell_order_grid is not None: -3288 # # TODO: update order grid work with api v2 -3289 # if len(args.sell_order_grid) >= 2: -3290 # orderParams = server.ParseOrderParameters(operation="Sell", **dict(kw.split('=') for kw in args.sell_order_grid)) -3291 # -3292 # for order in orderParams: -3293 # server.Order(operation="Sell", lots=order["lot"], price=order["price"]) -3294 # -3295 # else: -3296 # uLogger.error("To open grid of pending SELL limit-orders (above current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") -3297 -3298 elif args.close_order is not None: -3299 server.CloseOrders(args.close_order) # close only one order -3300 -3301 elif args.close_orders is not None: -3302 server.CloseOrders(args.close_orders) # close list of orders -3303 -3304 elif args.close_trade: -3305 if not args.ticker: -3306 raise Exception("`--ticker` key is required for this operation!") -3307 -3308 server.CloseTrades([args.ticker]) # close only one trade -3309 -3310 elif args.close_trades is not None: -3311 server.CloseTrades(args.close_trades) # close trades for list of tickers -3312 -3313 elif args.close_all is not None: -3314 server.CloseAll(*args.close_all) -3315 -3316 else: -3317 uLogger.error("There is no command to execute! One of the possible commands must be selected. See: `python TKSBrokerAPI.py --help`") -3318 raise Exception("There is no command to execute!") -3319 -3320 except Exception: -3321 exc = tb.format_exc().split("\n") -3322 -3323 for line in exc: -3324 if line: -3325 uLogger.debug(line) -3326 -3327 uLogger.debug("Unknown error occurred, open a ticket for this issue, please! https://github.com/Tim55667757/TKSBrokerAPI/issues") -3328 exitCode = 255 # unknown error occurred, must be open a ticket for this issue -3329 -3330 finally: -3331 finish = datetime.now(tzutc()) -3332 -3333 if exitCode == 0: -3334 uLogger.debug("All operations with Tinkoff Server using Open API are finished success (summary code is 0).") -3335 -3336 else: -3337 uLogger.error("TKSBrokerAPI module returns an error! See full debug log with key in run command `--debug-level 10`. Summary code: {}".format(exitCode)) -3338 -3339 uLogger.debug("TKSBrokerAPI module work duration: [{}]".format(finish - start)) -3340 uLogger.debug("TKSBrokerAPI module finished: [{}] UTC, it is [{}] local time".format( -3341 finish.strftime("%Y-%m-%d %H:%M:%S"), -3342 finish.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), -3343 )) -3344 -3345 if not kwargs: -3346 sys.exit(exitCode) -3347 -3348 else: -3349 return exitCode -3350 -3351 -3352if __name__ == "__main__": -3353 Main() +@@ -3617,19 +3752,19 @@1# -*- coding: utf-8 -*- + 2# Author: Timur Gilmullin + 3 + 4""" + 5**TKSBrokerAPI** is a python API to work with some methods of Tinkoff Open API using REST protocol. + 6It can view history, orders and market information. Also, you can open orders and trades. + 7 + 8If you run this module as CLI program then it realizes simple logic: receiving a lot of options and execute one command. + 9**See examples**: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples + 10 + 11**Used constants are in the TKSEnums module**: https://tim55667757.github.io/TKSBrokerAPI/docs/tksbrokerapi/TKSEnums.html + 12 + 13About Tinkoff Invest API: https://tinkoff.github.io/investAPI/ + 14 + 15Tinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/ + 16""" + 17 + 18# Copyright (c) 2022 Gilmillin Timur Mansurovich + 19# + 20# Licensed under the Apache License, Version 2.0 (the "License"); + 21# you may not use this file except in compliance with the License. + 22# You may obtain a copy of the License at + 23# + 24# http://www.apache.org/licenses/LICENSE-2.0 + 25# + 26# Unless required by applicable law or agreed to in writing, software + 27# distributed under the License is distributed on an "AS IS" BASIS, + 28# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + 29# See the License for the specific language governing permissions and + 30# limitations under the License. + 31 + 32 + 33import sys + 34import os + 35from argparse import ArgumentParser + 36 + 37from datetime import datetime, timedelta + 38from dateutil.tz import tzlocal, tzutc + 39from time import sleep + 40 + 41import re + 42import json + 43import requests + 44from multiprocessing import cpu_count + 45from multiprocessing.pool import ThreadPool + 46 + 47import pandas as pd + 48 + 49import UniLogger as uLog + 50import traceback as tb + 51 + 52from TKSEnums import * # a lot of constants from enums sections: https://tinkoff.github.io/investAPI/swagger-ui/ + 53 + 54 + 55# --- Common technical parameters: + 56 + 57uLogger = uLog.UniLogger + 58uLogger.level = 10 # debug level by default + 59uLogger.handlers[0].level = 20 # info level by default for STDOUT + 60 + 61CPU_COUNT = cpu_count() # host's real CPU count + 62CPU_USAGES = CPU_COUNT - 1 if CPU_COUNT > 1 else 1 # how many CPUs will be used for parallel calculations + 63uLogger.debug("Host CPU count: [{}]".format(CPU_COUNT)) + 64 + 65# --- Main constants: + 66 + 67NANO = 0.000000001 # SI-constant nano = 10^-9 + 68 + 69 + 70def NanoToFloat(units: str, nano: int) -> float: + 71 """ + 72 Convert number in nano-view mode with string parameter `units` and integer parameter `nano` to float view. Examples: + 73 + 74 `NanoToFloat(units="2", nano=500000000) -> 2.5` + 75 + 76 `NanoToFloat(units="0", nano=50000000) -> 0.05` + 77 + 78 :param units: integer string or integer parameter that represents the integer part of number + 79 :param nano: integer string or integer parameter that represents the fractional part of number + 80 :return: float view of number + 81 """ + 82 return int(units) + int(nano) * NANO + 83 + 84 + 85def FloatToNano(number: float) -> dict: + 86 """ + 87 Convert float number to nano-type view: dictionary with string `units` and integer `nano` parameters `{"units": "string", "nano": integer}`. Examples: + 88 + 89 `FloatToNano(number=2.5) -> {"units": "2", "nano": 500000000}` + 90 + 91 `FloatToNano(number=0.05) -> {"units": "0", "nano": 50000000}` + 92 + 93 :param number: float number + 94 :return: nano-type view of number: `{"units": "string", "nano": integer}` + 95 """ + 96 splitByPoint = str(number).split(".") + 97 frac = 0 + 98 + 99 if len(splitByPoint) > 1: + 100 if len(splitByPoint[1]) <= 9: + 101 frac = int("{}{}".format( + 102 int(splitByPoint[1]), + 103 "0" * (9 - len(splitByPoint[1])), + 104 )) + 105 + 106 if (number < 0) and (frac > 0): + 107 frac = -frac + 108 + 109 return {"units": str(int(number)), "nano": frac} + 110 + 111 + 112def GetDatesAsString(start: str = None, end: str = None) -> tuple: + 113 """ + 114 Create tuple of date and time strings with timezone parsed from user-friendly date. + 115 + 116 User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). + 117 + 118 Example input: "2022-06-01" "2022-06-20" -> output: ("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z") + 119 An error exception will occur if input date has incorrect format. + 120 + 121 If `start=None`, `end=None` then return dates from yesterday to the end of the day. + 122 If `start=some_date_1`, `end=None` then return dates from `some_date_1` to the end of the day. + 123 If `start=some_date_1`, `end=some_date_2` then return dates from start of `some_date_1` to end of `some_date_2`. + 124 Start day may be negative integer numbers: `-1`, `-2`, `-3` - how many days ago. + 125 + 126 Also, you can use keywords for start if `end=None`: + 127 `today` (from 00:00:00 to the end of current day), + 128 `yesterday` (-1 day from 00:00:00 to 23:59:59), + 129 `week` (-7 day from 00:00:00 to the end of current day), + 130 `month` (-30 day from 00:00:00 to the end of current day), + 131 `year` (-365 day from 00:00:00 to the end of current day), + 132 + 133 :return: tuple with 2 strings `(start, end)` dates in UTC ISO time format `%Y-%m-%dT%H:%M:%SZ` for OpenAPI. + 134 See date and time format here: `TKSEnums.TKS_DATE_TIME_FORMAT`. + 135 Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")`. Second string is the end of the last day. + 136 """ + 137 uLogger.debug("Input start day is [{}] (UTC), end day is [{}] (UTC)".format(start, end)) + 138 s = datetime.now(tzutc()).replace(hour=0, minute=0, second=0, microsecond=0) # start of the current day + 139 e = s.replace(hour=23, minute=59, second=59, microsecond=0) # end of the current day + 140 + 141 # time between start and the end of the current day: + 142 if start is None or start.lower() == "today": + 143 pass + 144 + 145 # from start of the last day to the end of the last day: + 146 elif start.lower() == "yesterday": + 147 s -= timedelta(days=1) + 148 e -= timedelta(days=1) + 149 + 150 # week (-7 day from 00:00:00 to the end of the current day): + 151 elif start.lower() == "week": + 152 s -= timedelta(days=6) # +1 current day already taken into account + 153 + 154 # month (-30 day from 00:00:00 to the end of current day): + 155 elif start.lower() == "month": + 156 s -= timedelta(days=29) # +1 current day already taken into account + 157 + 158 # year (-365 day from 00:00:00 to the end of current day): + 159 elif start.lower() == "year": + 160 s -= timedelta(days=364) # +1 current day already taken into account + 161 + 162 # -N days ago to the end of current day: + 163 elif start.startswith('-') and start[1:].isdigit(): + 164 s -= timedelta(days=abs(int(start)) - 1) # +1 current day already taken into account + 165 + 166 # dates between start day at 00:00:00 and the end of the last day at 23:59:59: + 167 else: + 168 s = datetime.strptime(start, "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()) + 169 e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else e + 170 + 171 # converting to UTC ISO time formatted with Z suffix for Tinkoff Open API: + 172 s = s.strftime(TKS_DATE_TIME_FORMAT) + 173 e = e.strftime(TKS_DATE_TIME_FORMAT) + 174 + 175 uLogger.debug("Start day converted to UTC ISO format, with Z: [{}], and the end day: [{}]".format(s, e)) + 176 + 177 return s, e + 178 + 179 + 180class TinkoffBrokerServer: + 181 """ + 182 This class implements methods to work with Tinkoff broker server. + 183 + 184 Examples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/ + 185 + 186 About `token`: https://tinkoff.github.io/investAPI/token/ + 187 """ + 188 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: + 189 """ + 190 Main class init. + 191 + 192 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. + 193 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. + 194 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. + 195 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. + 196 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. + 197 For future use, you can save this variable and use as `iList` to avoid permanent downloads + 198 from the server. Also, you can try `DumpInstruments()` method. + 199 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. + 200 True by default. Cache is auto-update if new day has come. + 201 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. + 202 If you don't want to use cache and always updates raw data then set `useCache=False`. + 203 """ + 204 if token is None or not token: + 205 try: + 206 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) + 207 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") + 208 + 209 except KeyError: + 210 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") + 211 + 212 else: + 213 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' + 214 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") + 215 + 216 if accountId is None or not accountId: + 217 try: + 218 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) + 219 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") + 220 + 221 except KeyError: + 222 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") + 223 + 224 else: + 225 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' + 226 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") + 227 + 228 self.aliases = TKS_TICKER_ALIASES + 229 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" + 230 + 231 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init + 232 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there + 233 + 234 self.ticker = "" + 235 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" + 236 + 237 self.figi = "" + 238 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" + 239 + 240 self.depth = 1 + 241 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" + 242 + 243 self.server = r"https://invest-public-api.tinkoff.ru/rest" + 244 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest + 245 + 246 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 + 247 """ + 248 + 249 uLogger.debug("Broker API server: {}".format(self.server)) + 250 + 251 self.timeout = 15 + 252 """Server operations timeout in seconds. Default: `15`""" + 253 + 254 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} + 255 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {your_token}"}`""" + 256 + 257 self.body = None + 258 """Request body which send to broker server. Default: `None`""" + 259 + 260 # remove after implemented: #45 Add selector of file types https://github.com/Tim55667757/TKSBrokerAPI/issues/45 + 261 # self.outputFileType = None + 262 # """Switch of types for output files when `--output` key present. You can choose: `.md`, `.csv` and `.xlsx`. By default: `None`, it mean that default types will be used.""" + 263 + 264 self.historyFile = None + 265 """Full path to the output file where history candles will be saved or updated. Default: `None`, it mean that returns only pandas dataframe when you request `History()` method.""" + 266 + 267 self.instrumentsFile = "instruments.md" + 268 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" + 269 + 270 self.searchResultsFile = "search-results.md" + 271 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" + 272 + 273 self.pricesFile = "prices.md" + 274 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" + 275 + 276 self.overviewFile = "overview.md" + 277 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" + 278 + 279 self.overviewDigestFile = "overview-digest.md" + 280 """Filename where short digest of the portfolio status will be saved. Default: `overview-digest.md`""" + 281 + 282 self.overviewPositionsFile = "overview-positions.md" + 283 """Filename where only open positions, without everything else will be saved. Default: `overview-positions.md`""" + 284 + 285 self.overviewOrdersFile = "overview-orders.md" + 286 """Filename where open limits and stop orders will be saved. Default: `overview-orders.md`""" + 287 + 288 self.overviewAnalyticsFile = "overview-analytics.md" + 289 """Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default: `overview-analytics.md`""" + 290 + 291 self.reportFile = "deals.md" + 292 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" + 293 + 294 self.iListDumpFile = "dump.json" + 295 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" + 296 + 297 self.iList = None # init iList + 298 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. + 299 + 300 See also: `Listing()` and `DumpInstruments()`. + 301 """ + 302 + 303 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: + 304 if iList is not None and isinstance(iList, dict): + 305 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") + 306 + 307 self.iList = iList # only used given iList, dump not updated + 308 + 309 elif useCache: + 310 if os.path.exists(self.iListDumpFile): + 311 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time + 312 curTime = datetime.now(tzutc()) + 313 + 314 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): + 315 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) + 316 + 317 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file + 318 + 319 else: + 320 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump + 321 + 322 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) + 323 uLogger.debug("Dump file was last modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) + 324 + 325 else: + 326 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") + 327 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file + 328 + 329 else: + 330 self.iList = self.Listing() # request new raw instruments data from broker server + 331 self.DumpInstruments(forceUpdate=False) # save updated info to default dump file + 332 + 333 @staticmethod + 334 def _ParseJSON(rawData="{}", debug: bool = False) -> dict: + 335 """ + 336 Parse JSON from response string. + 337 + 338 :param rawData: this is a string with JSON-formatted text. + 339 :param debug: if `True` then print more debug information. + 340 :return: JSON (dictionary), parsed from server response string. + 341 """ + 342 if debug: + 343 uLogger.debug("Raw text body:") + 344 uLogger.debug(rawData) + 345 + 346 responseJSON = json.loads(rawData) if rawData else {} + 347 + 348 if debug: + 349 uLogger.debug("JSON formatted:") + 350 for jsonLine in json.dumps(responseJSON, indent=4).split('\n'): + 351 uLogger.debug(jsonLine) + 352 + 353 return responseJSON + 354 + 355 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: + 356 """ + 357 Send GET or POST request to broker server and receive JSON object. + 358 + 359 self.header: must be define with dictionary of headers. + 360 self.body: if define then used as request body. None by default. + 361 self.timeout: global request timeout, 15 seconds by default. + 362 :param url: url with REST request. + 363 :param reqType: send "GET" or "POST" request. "GET" by default. + 364 :param retry: how many times retry after first request if an error occurred. + 365 :param pause: sleep time in seconds between retries. + 366 :param debug: if `True` then print more debug information. + 367 :return: response JSON (dictionary) from broker. + 368 """ + 369 if reqType not in ("GET", "POST"): + 370 raise Exception("You can define request type: 'GET' or 'POST'!") + 371 + 372 if debug: + 373 uLogger.debug("Request parameters:") + 374 uLogger.debug(" - REST API URL: {}".format(url)) + 375 uLogger.debug(" - request type: {}".format(reqType)) + 376 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) + 377 uLogger.debug(" - body: {}".format(self.body)) + 378 + 379 # fast hack to avoid all operations with some tickers/FIGI + 380 responseJSON = {} + 381 oK = True + 382 for item in self.exclude: + 383 if item in url: + 384 if debug: + 385 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) + 386 + 387 oK = False + 388 break + 389 + 390 if oK: + 391 counter = 0 + 392 response = None + 393 errMsg = "" + 394 + 395 while not response and counter <= retry: + 396 if reqType == "GET": + 397 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) + 398 + 399 if reqType == "POST": + 400 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) + 401 + 402 if debug: + 403 uLogger.debug("Response:") + 404 uLogger.debug(" - status code: {}".format(response.status_code)) + 405 uLogger.debug(" - reason: {}".format(response.reason)) + 406 uLogger.debug(" - body length: {}".format(len(response.text))) + 407 + 408 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes + 409 if 400 <= response.status_code < 600: + 410 errMsg = "[{}] {}".format(response.status_code, response.text) + 411 uLogger.debug(" - not oK status code received: {}".format(errMsg)) + 412 counter += 1 + 413 + 414 if counter <= retry: + 415 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) + 416 sleep(pause) + 417 + 418 responseJSON = self._ParseJSON(response.text) + 419 + 420 if errMsg: + 421 uLogger.error("Not `oK` status received from broker server! See: https://tinkoff.github.io/investAPI/errors/") + 422 uLogger.error(" - message: {}".format(errMsg)) + 423 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") + 424 + 425 return responseJSON + 426 + 427 def _IUpdater(self, iType: str) -> tuple: + 428 """ + 429 Request instrument by type from server. See available API methods for instruments: + 430 Currencies: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Currencies + 431 Shares: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Shares + 432 Bonds: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Bonds + 433 Etfs: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Etfs + 434 Futures: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Futures + 435 + 436 :param iType: type of the instrument, it must be one of supported types in TKS_INSTRUMENTS list. + 437 :return: tuple with iType name and list of available instruments of current type for defined user token. + 438 """ + 439 result = [] + 440 + 441 if iType in TKS_INSTRUMENTS: + 442 uLogger.debug("Requesting available [{}] list. Wait, please...".format(iType)) + 443 + 444 # all instruments have the same body in API v2 requests: + 445 self.body = str({"instrumentStatus": "INSTRUMENT_STATUS_UNSPECIFIED"}) # Enum: [INSTRUMENT_STATUS_UNSPECIFIED, INSTRUMENT_STATUS_BASE, INSTRUMENT_STATUS_ALL] + 446 instrumentURL = self.server + r"/tinkoff.public.invest.api.contract.v1.InstrumentsService/{}".format(iType) + 447 result = self.SendAPIRequest(instrumentURL, reqType="POST", debug=False)["instruments"] + 448 + 449 return iType, result + 450 + 451 def _IWrapper(self, kwargs): + 452 """ + 453 Wrapper runs instrument's update method `_IUpdater()`. + 454 It's a workaround for using multiprocessing with kwargs. See: https://stackoverflow.com/a/36799206 + 455 """ + 456 return self._IUpdater(**kwargs) + 457 + 458 def Listing(self) -> dict: + 459 """ + 460 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. + 461 + 462 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. + 463 """ + 464 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") + 465 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) + 466 + 467 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService + 468 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. + 469 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] + 470 + 471 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode + 472 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations + 473 poolUpdater.close() + 474 + 475 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. + 476 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method + 477 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} + 478 + 479 # calculate minimum price increment (step) for all instruments and set up instrument's type: + 480 for iType in iList.keys(): + 481 for ticker in iList[iType]: + 482 iList[iType][ticker]["type"] = iType + 483 + 484 if "minPriceIncrement" in iList[iType][ticker].keys(): + 485 iList[iType][ticker]["step"] = NanoToFloat( + 486 iList[iType][ticker]["minPriceIncrement"]["units"], + 487 iList[iType][ticker]["minPriceIncrement"]["nano"], + 488 ) + 489 + 490 else: + 491 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures + 492 + 493 return iList + 494 + 495 def DumpInstruments(self, forceUpdate: bool = True) -> str: + 496 """ + 497 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server + 498 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. + 499 + 500 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. + 501 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. + 502 """ + 503 if self.iListDumpFile is None or not self.iListDumpFile: + 504 raise Exception("Output name of dump file must be defined!") + 505 + 506 if not self.iList or forceUpdate: + 507 self.iList = self.Listing() + 508 + 509 dump = json.dumps(self.iList, indent=4, sort_keys=False) + 510 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: + 511 fH.write(dump) + 512 + 513 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) + 514 + 515 return dump + 516 + 517 @staticmethod + 518 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: + 519 """ + 520 Show information about one instrument defined by json data and prints it in Markdown format. + 521 + 522 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` + 523 :param printInfo: if `True` then also printing information about instrument and its current price. + 524 :return: multilines text in Markdown format with information about one instrument. + 525 """ + 526 splitLine = "| | |\n" + 527 infoText = "" + 528 + 529 if iJSON is not None and iJSON and isinstance(iJSON, dict): + 530 info = [ + 531 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + 532 "| Parameters | Values |\n", + 533 "|---------------------------------------------------------|---------------------------------------------------------|\n", + 534 "| Ticker: | {:<55} |\n".format(iJSON["ticker"]), + 535 "| Full name: | {:<55} |\n".format(iJSON["name"]), + 536 ] + 537 + 538 if "sector" in iJSON.keys() and iJSON["sector"]: + 539 info.append("| Sector: | {:<55} |\n".format(iJSON["sector"])) + 540 + 541 info.append("| Country of instrument: | {:<55} |\n".format("{}{}".format( + 542 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", + 543 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", + 544 ))) + 545 + 546 info.extend([ + 547 splitLine, + 548 "| FIGI (Financial Instrument Global Identifier): | {:<55} |\n".format(iJSON["figi"]), + 549 "| Exchange: | {:<55} |\n".format(iJSON["exchange"]), + 550 ]) + 551 + 552 if "isin" in iJSON.keys() and iJSON["isin"]: + 553 info.append("| ISIN (International Securities Identification Number): | {:<55} |\n".format(iJSON["isin"])) + 554 + 555 if "classCode" in iJSON.keys(): + 556 info.append("| Class Code: | {:<55} |\n".format(iJSON["classCode"])) + 557 + 558 info.extend([ + 559 splitLine, + 560 "| Current broker security trading status: | {:<55} |\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), + 561 "| Buy operations allowed: | {:<55} |\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), + 562 "| Sale operations allowed: | {:<55} |\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), + 563 "| Short positions allowed: | {:<55} |\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), + 564 ]) + 565 + 566 info.append(splitLine) + 567 + 568 if "type" in iJSON.keys() and iJSON["type"]: + 569 info.append("| Type of the instrument: | {:<55} |\n".format(iJSON["type"])) + 570 + 571 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: + 572 info.append("| Futures type: | {:<55} |\n".format(iJSON["futuresType"])) + 573 + 574 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: + 575 info.append("| IPO date: | {:<55} |\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) + 576 + 577 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: + 578 info.append("| Released date: | {:<55} |\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) + 579 + 580 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: + 581 info.append("| Rebalancing frequency: | {:<55} |\n".format(iJSON["rebalancingFreq"])) + 582 + 583 if "focusType" in iJSON.keys() and iJSON["focusType"]: + 584 info.append("| Focusing type: | {:<55} |\n".format(iJSON["focusType"])) + 585 + 586 if "assetType" in iJSON.keys() and iJSON["assetType"]: + 587 info.append("| Asset type: | {:<55} |\n".format(iJSON["assetType"])) + 588 + 589 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: + 590 info.append("| Basic asset: | {:<55} |\n".format(iJSON["basicAsset"])) + 591 + 592 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: + 593 info.append("| Basic asset size: | {:<55} |\n".format("{:.2f}".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"])))) + 594 + 595 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: + 596 info.append("| ISO currency name: | {:<55} |\n".format(iJSON["isoCurrencyName"])) + 597 + 598 if "currency" in iJSON.keys(): + 599 info.append("| Payment currency: | {:<55} |\n".format(iJSON["currency"])) + 600 + 601 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: + 602 info.append("| First trade date: | {:<55} |\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) + 603 + 604 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: + 605 info.append("| Last trade date: | {:<55} |\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) + 606 + 607 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: + 608 info.append("| Date of expiration: | {:<55} |\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) + 609 + 610 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: + 611 info.append("| State registration date: | {:<55} |\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) + 612 + 613 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: + 614 info.append("| Placement date: | {:<55} |\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) + 615 + 616 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: + 617 info.append("| Maturity date: | {:<55} |\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) + 618 + 619 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: + 620 info.append("| Perpetual bond: | Yes |\n") + 621 + 622 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: + 623 info.append("| Over-the-counter (OTC) securities: | Yes |\n") + 624 + 625 if iJSON["type"] == "Bonds": + 626 info.append("| Bond issue (size / plan): | {:<55} |\n".format("{} / {}".format(iJSON["issueSize"], iJSON["issueSizePlan"]))) + 627 + 628 info.append("| Nominal price (100%): | {:<55} |\n".format("{:.2f} {}".format( + 629 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), + 630 iJSON["nominal"]["currency"], + 631 ))) + 632 + 633 if "floatingCouponFlag" in iJSON.keys(): + 634 info.append("| Floating coupon: | {:<55} |\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) + 635 + 636 if "amortizationFlag" in iJSON.keys(): + 637 info.append("| Amortization: | {:<55} |\n".format("Yes" if iJSON["amortizationFlag"] else "No")) + 638 + 639 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: + 640 info.append("| Number of coupon payments per year: | {:<55} |\n".format(iJSON["couponQuantityPerYear"])) + 641 + 642 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: + 643 info.append("| Current ACI (Accrued Interest): | {:<55} |\n".format("{:.2f} {}".format( + 644 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), + 645 iJSON["aciValue"]["currency"] + 646 ))) + 647 + 648 if "currentPrice" in iJSON.keys(): + 649 info.append(splitLine) + 650 + 651 info.extend([ + 652 "| Previous close price of the instrument: | {:<55} |\n".format("{}{}".format( + 653 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", + 654 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 655 )), + 656 "| Last deal price of the instrument: | {:<55} |\n".format("{}{}".format( + 657 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", + 658 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 659 )), + 660 "| Changes between last deal price and last close % | {:<55} |\n".format("{:.2f}".format(iJSON["currentPrice"]["changes"])), + 661 "| Current limit price, min / max: | {:<55} |\n".format("{}{} / {}{}".format( + 662 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", + 663 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 664 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", + 665 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 666 )), + 667 "| Actual price, sell / buy: | {:<55} |\n".format("{}{} / {}{}".format( + 668 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", + 669 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 670 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", + 671 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 672 )), + 673 ]) + 674 + 675 if "lot" in iJSON.keys(): + 676 info.append("| Minimum lot to buy: | {:<55} |\n".format(iJSON["lot"])) + 677 + 678 if "step" in iJSON.keys() and iJSON["step"] != 0: + 679 info.append("| Minimum price increment (step): | {:<55} |\n".format(iJSON["step"])) + 680 + 681 infoText += "".join(info) + 682 + 683 if printInfo: + 684 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) + 685 + 686 else: + 687 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) + 688 + 689 return infoText + 690 + 691 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: + 692 """ + 693 Search and return raw broker's information about instrument by it's ticker. + 694 `ticker` must be define! If debug=True then print all debug messages. + 695 + 696 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). + 697 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. + 698 :param debug: if `True` then print all debug console messages. + 699 :return: JSON formatted data with information about instrument. + 700 """ + 701 tickerJSON = {} + 702 if debug: + 703 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) + 704 + 705 if not self.ticker: + 706 uLogger.warning("self.ticker variable is not be empty!") + 707 + 708 else: + 709 if not self.iList: + 710 self.iList = self.Listing() + 711 + 712 if self.ticker in self.iList["Shares"].keys(): + 713 tickerJSON = self.iList["Shares"][self.ticker] + 714 if debug: + 715 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) + 716 + 717 elif self.ticker in self.iList["Currencies"].keys(): + 718 tickerJSON = self.iList["Currencies"][self.ticker] + 719 if debug: + 720 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) + 721 + 722 elif self.ticker in self.iList["Bonds"].keys(): + 723 tickerJSON = self.iList["Bonds"][self.ticker] + 724 if debug: + 725 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) + 726 + 727 elif self.ticker in self.iList["Etfs"].keys(): + 728 tickerJSON = self.iList["Etfs"][self.ticker] + 729 if debug: + 730 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) + 731 + 732 elif self.ticker in self.iList["Futures"].keys(): + 733 tickerJSON = self.iList["Futures"][self.ticker] + 734 if debug: + 735 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) + 736 + 737 if tickerJSON: + 738 self.figi = tickerJSON["figi"] + 739 + 740 if requestPrice: + 741 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) + 742 + 743 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: + 744 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] + 745 + 746 else: + 747 tickerJSON["currentPrice"]["changes"] = 0 + 748 + 749 if showInfo: + 750 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text + 751 + 752 else: + 753 if showInfo: + 754 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) + 755 + 756 return tickerJSON + 757 + 758 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: + 759 """ + 760 Search and return raw broker's information about instrument by it's FIGI. + 761 `figi` must be define! If debug=True then print all debug messages. + 762 + 763 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). + 764 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. + 765 :param debug: if `True` then print all debug console messages. + 766 :return: JSON formatted data with information about instrument. + 767 """ + 768 figiJSON = {} + 769 if debug: + 770 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) + 771 + 772 if not self.figi: + 773 uLogger.warning("self.figi variable is not be empty!") + 774 + 775 else: + 776 if not self.iList: + 777 self.iList = self.Listing() + 778 + 779 for item in self.iList["Shares"].keys(): + 780 if self.figi == self.iList["Shares"][item]["figi"]: + 781 figiJSON = self.iList["Shares"][item] + 782 + 783 if debug: + 784 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) + 785 + 786 break + 787 + 788 if not figiJSON: + 789 for item in self.iList["Currencies"].keys(): + 790 if self.figi == self.iList["Currencies"][item]["figi"]: + 791 figiJSON = self.iList["Currencies"][item] + 792 + 793 if debug: + 794 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) + 795 + 796 break + 797 + 798 if not figiJSON: + 799 for item in self.iList["Bonds"].keys(): + 800 if self.figi == self.iList["Bonds"][item]["figi"]: + 801 figiJSON = self.iList["Bonds"][item] + 802 + 803 if debug: + 804 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) + 805 + 806 break + 807 + 808 if not figiJSON: + 809 for item in self.iList["Etfs"].keys(): + 810 if self.figi == self.iList["Etfs"][item]["figi"]: + 811 figiJSON = self.iList["Etfs"][item] + 812 + 813 if debug: + 814 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) + 815 + 816 break + 817 + 818 if not figiJSON: + 819 for item in self.iList["Futures"].keys(): + 820 if self.figi == self.iList["Futures"][item]["figi"]: + 821 figiJSON = self.iList["Futures"][item] + 822 + 823 if debug: + 824 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) + 825 + 826 break + 827 + 828 if figiJSON: + 829 self.figi = figiJSON["figi"] + 830 self.ticker = figiJSON["ticker"] + 831 + 832 if requestPrice: + 833 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) + 834 + 835 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: + 836 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] + 837 + 838 else: + 839 figiJSON["currentPrice"]["changes"] = 0 + 840 + 841 if showInfo: + 842 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text + 843 + 844 else: + 845 if showInfo: + 846 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) + 847 + 848 return figiJSON + 849 + 850 def GetCurrentPrices(self, showPrice: bool = False) -> dict: + 851 """ + 852 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: + 853 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. + 854 + 855 :param showPrice: if `True` then print DOM. + 856 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. + 857 """ + 858 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} + 859 + 860 if self.depth < 1: + 861 raise Exception("Depth of Market (DOM) must be >=1!") + 862 + 863 if not (self.ticker or self.figi): + 864 raise Exception("self.ticker or self.figi variables must be defined!") + 865 + 866 if self.ticker and not self.figi: + 867 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! + 868 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" + 869 + 870 if not self.ticker and self.figi: + 871 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! + 872 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" + 873 + 874 if not self.figi: + 875 uLogger.error("FIGI is not determined!") + 876 + 877 else: + 878 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) + 879 + 880 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook + 881 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" + 882 self.body = str({"figi": self.figi, "depth": self.depth}) + 883 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") + 884 + 885 if pricesResponse: + 886 # list of dicts with sellers orders: + 887 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] + 888 + 889 # list of dicts with buyers orders: + 890 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] + 891 + 892 # max price of instrument at this time: + 893 prices["limitUp"] = round(NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]), 6) if "limitUp" in pricesResponse.keys() else None + 894 + 895 # min price of instrument at this time: + 896 prices["limitDown"] = round(NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]), 6) if "limitDown" in pricesResponse.keys() else None + 897 + 898 # last price of deal with instrument: + 899 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 + 900 + 901 # last close price of instrument: + 902 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 + 903 + 904 else: + 905 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) + 906 uLogger.debug("Server response: {}".format(pricesResponse)) + 907 + 908 if showPrice: + 909 if prices["buy"] or prices["sell"]: + 910 info = [ + 911 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( + 912 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), + 913 self.ticker, + 914 self.figi, + 915 self.depth, + 916 ), + 917 uLog.sepShort, "\n", + 918 " Orders of Buyers | Orders of Sellers\n", + 919 uLog.sepShort, "\n", + 920 " Sell prices (vol.) | Buy prices (vol.)\n", + 921 uLog.sepShort, "\n", + 922 ] + 923 + 924 if not prices["buy"]: + 925 info.append(" | No orders!\n") + 926 sumBuy = 0 + 927 + 928 else: + 929 sumBuy = sum([x["quantity"] for x in prices["buy"]]) + 930 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) + 931 for item in maxMinSorted: + 932 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) + 933 + 934 if not prices["sell"]: + 935 info.append("No orders! |\n") + 936 sumSell = 0 + 937 + 938 else: + 939 sumSell = sum([x["quantity"] for x in prices["sell"]]) + 940 for item in prices["sell"]: + 941 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) + 942 + 943 info.extend([ + 944 uLog.sepShort, "\n", + 945 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), + 946 uLog.sepShort, "\n", + 947 ]) + 948 + 949 infoText = "".join(info) + 950 + 951 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) + 952 + 953 else: + 954 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) + 955 + 956 return prices + 957 + 958 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: + 959 """ + 960 This method get and show information about all available broker instruments. + 961 If `instrumentsFile` string is not empty then also save information to this file. + 962 + 963 :param showInstruments: if `True` then print results to console, if `False` - print only to file. + 964 :return: multi-string with all available broker instruments + 965 """ + 966 if not self.iList: + 967 self.iList = self.Listing() + 968 + 969 info = [ + 970 "# All available instruments from Tinkoff Broker server for current user token\n\n", + 971 "* **Actual on date:** [{} UTC]\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + 972 ] + 973 + 974 # add instruments count by type: + 975 for iType in self.iList.keys(): + 976 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) + 977 + 978 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step |\n" + 979 splitLine = "|--------------|-----------------------------------------------------------|--------------|-----|---------|------------|\n" + 980 + 981 # generating info tables with all instruments by type: + 982 for iType in self.iList.keys(): + 983 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) + 984 + 985 for instrument in self.iList[iType].keys(): + 986 iName = self.iList[iType][instrument]["name"] # instrument's name + 987 if len(iName) > 57: + 988 iName = "{}...".format(iName[:54]) # right trim for a long string + 989 + 990 info.append("| {:<12} | {:<57} | {:<12} | {:<3} | {:<7} | {:<10} |\n".format( + 991 self.iList[iType][instrument]["ticker"], + 992 iName, + 993 self.iList[iType][instrument]["figi"], + 994 self.iList[iType][instrument]["currency"], + 995 self.iList[iType][instrument]["lot"], + 996 "{:.10f}".format(self.iList[iType][instrument]["step"]).rstrip("0").rstrip(".") if self.iList[iType][instrument]["step"] > 0 else 0, + 997 )) + 998 + 999 infoText = "".join(info) +1000 +1001 if showInstruments: +1002 uLogger.info(infoText) +1003 +1004 if self.instrumentsFile: +1005 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: +1006 fH.write(infoText) +1007 +1008 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) +1009 +1010 return infoText +1011 +1012 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: +1013 """ +1014 This method search and show information about instruments by part of its ticker, FIGI or name. +1015 If `searchResultsFile` string is not empty then also save information to this file. +1016 +1017 :param pattern: string with part of ticker, FIGI or instrument's name. +1018 :param showResults: if `True` then print results to console, if `False` - return list of result only. +1019 :return: list of dictionaries with all found instruments. +1020 """ +1021 if not self.iList: +1022 self.iList = self.Listing() +1023 +1024 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments +1025 compiledPattern = re.compile(pattern, re.IGNORECASE) +1026 +1027 for iType in self.iList: +1028 for instrument in self.iList[iType].values(): +1029 searchResult = compiledPattern.search(" ".join( +1030 [instrument["ticker"], instrument["figi"], instrument["name"]] +1031 )) +1032 +1033 if searchResult: +1034 searchResults[iType][instrument["ticker"]] = instrument +1035 +1036 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) +1037 info = [ +1038 "# Search results\n\n", +1039 "* **Search pattern:** [{}]\n".format(pattern), +1040 "* **Found instruments:** [{}]\n\n".format(resultsLen), +1041 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" +1042 ] +1043 infoShort = info[:] +1044 +1045 headerLine = "| Type | Ticker | Full name | FIGI |\n" +1046 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" +1047 skippedLine = "| ... | ... | ... | ... |\n" +1048 +1049 if resultsLen == 0: +1050 info.append("\nNo results\n") +1051 infoShort.append("\nNo results\n") +1052 uLogger.warning("No results. Try changing your search pattern.") +1053 +1054 else: +1055 for iType in searchResults: +1056 iTypeValuesCount = len(searchResults[iType].values()) +1057 if iTypeValuesCount > 0: +1058 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1059 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1060 +1061 for instrument in searchResults[iType].values(): +1062 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( +1063 instrument["type"], +1064 instrument["ticker"], +1065 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string +1066 instrument["figi"], +1067 )) +1068 +1069 if iTypeValuesCount <= 5: +1070 infoShort.extend(info[-iTypeValuesCount:]) +1071 +1072 else: +1073 infoShort.extend(info[-5:]) +1074 infoShort.append(skippedLine) +1075 +1076 infoText = "".join(info) +1077 infoTextShort = "".join(infoShort) +1078 +1079 if showResults: +1080 uLogger.info(infoTextShort) +1081 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") +1082 +1083 if self.searchResultsFile: +1084 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: +1085 fH.write(infoText) +1086 +1087 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) +1088 +1089 return searchResults +1090 +1091 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: +1092 """ +1093 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! +1094 See limits: https://tinkoff.github.io/investAPI/limits/ +1095 If `pricesFile` string is not empty then also save information to this file. +1096 +1097 :param instruments: list of tickers or FIGIs. +1098 :param showPrices: if `True` then print to console, if `False` - print only to file. +1099 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` +1100 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. +1101 """ +1102 if instruments is None or not instruments: +1103 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") +1104 +1105 requestedInstruments = [] +1106 for iName in instruments: +1107 if iName not in self.aliases.keys(): +1108 if iName not in requestedInstruments: +1109 requestedInstruments.append(iName) +1110 +1111 else: +1112 if iName not in requestedInstruments: +1113 if self.aliases[iName] not in requestedInstruments: +1114 requestedInstruments.append(self.aliases[iName]) +1115 +1116 uLogger.debug("Requested instruments without duplicates of tickers and FIGIs: {}".format(requestedInstruments)) +1117 +1118 onlyUniqueFIGIs = [] +1119 for iName in requestedInstruments: +1120 self.ticker = iName +1121 iData = self.SearchByTicker(requestPrice=False) # trying to find instrument by ticker +1122 +1123 if not iData: +1124 self.ticker = "" +1125 self.figi = iName +1126 +1127 iData = self.SearchByFIGI(requestPrice=False) # trying to find instrument by FIGI +1128 +1129 if not iData: +1130 self.figi = "" +1131 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) +1132 +1133 if iData and iData["figi"] not in onlyUniqueFIGIs: +1134 onlyUniqueFIGIs.append(iData["figi"]) +1135 +1136 uLogger.debug("Unique list of FIGIs: {}".format(onlyUniqueFIGIs)) +1137 uLogger.debug("Requesting current prices from Tinkoff Broker server...") +1138 +1139 iList = [] # trying to get info and current prices about all unique instruments: +1140 for self.figi in onlyUniqueFIGIs: +1141 iData = self.SearchByFIGI(requestPrice=True) +1142 iList.append(iData) +1143 +1144 if showPrices: +1145 info = [ +1146 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), +1147 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr. |\n", +1148 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|-------|\n", +1149 ] +1150 +1151 for item in iList: +1152 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {:<5} |\n".format( +1153 item["ticker"], +1154 item["figi"], +1155 item["type"], +1156 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), +1157 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), +1158 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), +1159 "{} / {}".format( +1160 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", +1161 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", +1162 ), +1163 "{} / {}".format( +1164 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", +1165 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", +1166 ), +1167 item["currency"], +1168 )) +1169 +1170 infoText = "".join(info) +1171 +1172 if showPrices: +1173 uLogger.info("Only instruments with unique FIGIs are shown:\n{}".format(infoText)) +1174 +1175 if self.pricesFile: +1176 with open(self.pricesFile, "w", encoding="UTF-8") as fH: +1177 fH.write(infoText) +1178 +1179 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) +1180 +1181 return iList +1182 +1183 def RequestPortfolio(self) -> dict: +1184 """ +1185 Requesting current actual user's portfolio. +1186 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio +1187 +1188 :return: dictionary with user's portfolio. +1189 """ +1190 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") +1191 +1192 self.body = str({"accountId": self.accountId}) +1193 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" +1194 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") +1195 +1196 uLogger.debug("Records about user's portfolio successfully received") +1197 +1198 return rawPortfolio +1199 +1200 def RequestPositions(self) -> dict: +1201 """ +1202 Requesting current open positions in currencies and instruments. +1203 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions +1204 +1205 :return: dictionary with open positions by instruments. +1206 """ +1207 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") +1208 +1209 self.body = str({"accountId": self.accountId}) +1210 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" +1211 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") +1212 +1213 uLogger.debug("Records about current open positions successfully received") +1214 +1215 return rawPositions +1216 +1217 def RequestPendingOrders(self) -> list: +1218 """ +1219 Requesting current actual pending orders. +1220 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders +1221 +1222 :return: list of dictionaries with pending orders. +1223 """ +1224 uLogger.debug("Requesting current actual pending orders. Wait, please...") +1225 +1226 self.body = str({"accountId": self.accountId}) +1227 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" +1228 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] +1229 +1230 uLogger.debug("[{}] records about pending orders received".format(len(rawOrders))) +1231 +1232 return rawOrders +1233 +1234 def RequestStopOrders(self) -> list: +1235 """ +1236 Requesting current actual stop orders. +1237 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders +1238 +1239 :return: list of dictionaries with stop orders. +1240 """ +1241 uLogger.debug("Requesting current actual stop orders. Wait, please...") +1242 +1243 self.body = str({"accountId": self.accountId}) +1244 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" +1245 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] +1246 +1247 uLogger.debug("[{}] records about stop orders received".format(len(rawStopOrders))) +1248 +1249 return rawStopOrders +1250 +1251 def Overview(self, showStatistics: bool = False, details: str = "full") -> dict: +1252 """ +1253 Get portfolio: all open positions, orders and some statistics for defined accountId. +1254 If `overviewFile`, `overviewDigestFile`, `overviewPositionsFile`, `overviewOrdersFile`, `overviewAnalyticsFile` +1255 are defined then also save information to file. +1256 +1257 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. +1258 :param details: how detailed should the information be? You should specify one of strings: +1259 `full` - shows full available information about portfolio status (by default), +1260 `positions` - shows only open positions, +1261 `digest` - show a short digest of the portfolio status, +1262 `analytics` - shows only the analytics section and the distribution of the portfolio by various categories, +1263 `orders` - shows only sections of open limits and stop orders. +1264 :return: dictionary with client's raw portfolio and some statistics. +1265 """ +1266 view = { +1267 "raw": { # --- raw portfolio responses from broker with user portfolio data: +1268 "headers": {}, # list of dictionaries, response headers without "positions" section +1269 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section +1270 "Shares": [], # list of dictionaries, open trades with shares from "positions" section +1271 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section +1272 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section +1273 "Futures": [], # list of dictionaries, open trades with futures from "positions" section +1274 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client +1275 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders +1276 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders +1277 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB +1278 }, +1279 "stat": { # --- some statistics calculated using "raw" sections: +1280 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) +1281 "availableRUB": 0., # available rubles (without other currencies) +1282 "blockedRUB": 0., # blocked sum in Russian Rouble +1283 "totalChangesRUB": 0., # changes for all open trades in RUB +1284 "totalChangesPercentRUB": 0., # changes for all open trades in percents +1285 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB +1286 "sharesCostRUB": 0., # costs of all shares in RUB +1287 "bondsCostRUB": 0., # costs of all bonds in RUB +1288 "etfsCostRUB": 0., # costs of all etfs in RUB +1289 "futuresCostRUB": 0., # costs of all futures in RUB +1290 "Currencies": [], # list of dictionaries of all currencies statistics +1291 "Shares": [], # list of dictionaries of all shares statistics +1292 "Bonds": [], # list of dictionaries of all bonds statistics +1293 "Etfs": [], # list of dictionaries of all etfs statistics +1294 "Futures": [], # list of dictionaries of all futures statistics +1295 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters +1296 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters +1297 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} +1298 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} +1299 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1300 }, +1301 "analytics": { # --- some analytics of portfolio: +1302 "distrByAssets": {}, # portfolio distribution by assets +1303 "distrByCompanies": {}, # portfolio distribution by companies +1304 "distrBySectors": {}, # portfolio distribution by sectors +1305 "distrByCurrencies": {}, # portfolio distribution by currencies +1306 "distrByCountries": {}, # portfolio distribution by countries +1307 } +1308 } +1309 +1310 details = details.lower() +1311 availableDetails = ["full", "positions", "digest", "analytics", "orders"] +1312 if details not in availableDetails: +1313 details = "full" +1314 uLogger.debug("Requested incorrect details! The `details` must be one of this strings: {}. Details parameter set to `full` be default.".format(availableDetails)) +1315 +1316 uLogger.debug("Requesting portfolio of a client. Wait, please...") +1317 +1318 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) +1319 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) +1320 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) +1321 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) +1322 +1323 # save response headers without "positions" section: +1324 for key in portfolioResponse.keys(): +1325 if key != "positions": +1326 view["raw"]["headers"][key] = portfolioResponse[key] +1327 +1328 else: +1329 continue +1330 +1331 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation +1332 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS +1333 for item in portfolioResponse["positions"]: +1334 if item["instrumentType"] == "currency": +1335 self.figi = item["figi"] +1336 curr = self.SearchByFIGI(requestPrice=False) +1337 +1338 # current price of currency in RUB: +1339 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { +1340 "name": curr["name"], +1341 "currentPrice": NanoToFloat( +1342 item["currentPrice"]["units"], +1343 item["currentPrice"]["nano"] +1344 ), +1345 } +1346 +1347 view["raw"]["Currencies"].append(item) +1348 +1349 elif item["instrumentType"] == "share": +1350 view["raw"]["Shares"].append(item) +1351 +1352 elif item["instrumentType"] == "bond": +1353 view["raw"]["Bonds"].append(item) +1354 +1355 elif item["instrumentType"] == "etf": +1356 view["raw"]["Etfs"].append(item) +1357 +1358 elif item["instrumentType"] == "futures": +1359 view["raw"]["Futures"].append(item) +1360 +1361 else: +1362 continue +1363 +1364 # how many volume of currencies (by ISO currency name) are blocked: +1365 for item in view["raw"]["positions"]["blocked"]: +1366 blocked = NanoToFloat(item["units"], item["nano"]) +1367 if blocked > 0: +1368 view["stat"]["blockedCurrencies"][item["currency"]] = blocked +1369 +1370 # how many volume of instruments (by FIGI) are blocked: +1371 for item in view["raw"]["positions"]["securities"]: +1372 blocked = int(item["blocked"]) +1373 if blocked > 0: +1374 view["stat"]["blockedInstruments"][item["figi"]] = blocked +1375 +1376 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} +1377 +1378 if "rub" in allBlocked.keys(): +1379 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles +1380 +1381 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: +1382 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) +1383 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) +1384 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) +1385 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) +1386 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) +1387 view["stat"]["portfolioCostRUB"] = sum([ +1388 view["stat"]["allCurrenciesCostRUB"], +1389 view["stat"]["sharesCostRUB"], +1390 view["stat"]["bondsCostRUB"], +1391 view["stat"]["etfsCostRUB"], +1392 view["stat"]["futuresCostRUB"], +1393 ]) +1394 +1395 # --- calculating some portfolio statistics: +1396 byComp = {} # distribution by companies +1397 bySect = {} # distribution by sectors +1398 byCurr = {} # distribution by currencies (include RUB) +1399 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" +1400 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) +1401 +1402 for item in portfolioResponse["positions"]: +1403 self.figi = item["figi"] +1404 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI +1405 +1406 if instrument: +1407 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): +1408 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency +1409 +1410 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): +1411 blocked = allBlocked[item["figi"]] # blocked volume of other instruments +1412 +1413 else: +1414 blocked = 0 +1415 +1416 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument +1417 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument +1418 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long +1419 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price +1420 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price +1421 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment +1422 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. +1423 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset +1424 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) +1425 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName +1426 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles +1427 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost +1428 +1429 statData = { +1430 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method +1431 "ticker": instrument["ticker"], # ticker by FIGI +1432 "currency": currency, # currency name rub, usd, eur etc. for instrument price +1433 "volume": volume, # available volume of instrument +1434 "lots": lots, # volume in lots of instrument +1435 "direction": direction, # direction of an instrument's position: short or long +1436 "blocked": blocked, # blocked volume of currency or instrument +1437 "currentPrice": curPrice, # current instrument's price in basic asset +1438 "average": average, # current average position price +1439 "cost": cost, # current cost of all volume of instrument in basic asset +1440 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) +1441 "costRUB": costRUB, # cost of instrument in ruble +1442 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB +1443 "profit": profit, # expected profit at current moment +1444 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument +1445 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", +1446 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments +1447 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only +1448 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName +1449 "step": instrument["step"], # minimum price increment +1450 } +1451 +1452 # adding distribution by unique countries: +1453 if statData["country"] not in byCountry.keys(): +1454 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} +1455 +1456 else: +1457 byCountry[statData["country"]]["cost"] += costRUB +1458 byCountry[statData["country"]]["percent"] += percentCostRUB +1459 +1460 if item["instrumentType"] != "currency": +1461 # adding distribution by unique companies: +1462 if statData["name"]: +1463 if statData["name"] not in byComp.keys(): +1464 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} +1465 +1466 else: +1467 byComp[statData["name"]]["cost"] += costRUB +1468 byComp[statData["name"]]["percent"] += percentCostRUB +1469 +1470 # adding distribution by unique sectors: +1471 if statData["sector"] not in bySect.keys(): +1472 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} +1473 +1474 else: +1475 bySect[statData["sector"]]["cost"] += costRUB +1476 bySect[statData["sector"]]["percent"] += percentCostRUB +1477 +1478 # adding distribution by unique currencies: +1479 if currency not in byCurr.keys(): +1480 byCurr[currency] = { +1481 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], +1482 "cost": costRUB, +1483 "percent": percentCostRUB +1484 } +1485 +1486 else: +1487 byCurr[currency]["cost"] += costRUB +1488 byCurr[currency]["percent"] += percentCostRUB +1489 +1490 # saving statistics for every instrument: +1491 if item["instrumentType"] == "currency": +1492 view["stat"]["Currencies"].append(statData) +1493 +1494 # update dict with free funds for trading (total - blocked) by currencies +1495 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1496 view["stat"]["funds"][currency] = { +1497 "total": volume, +1498 "totalCostRUB": costRUB, # total volume cost in rubles +1499 "free": volume - blocked, +1500 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles +1501 } +1502 +1503 elif item["instrumentType"] == "share": +1504 view["stat"]["Shares"].append(statData) +1505 +1506 elif item["instrumentType"] == "bond": +1507 view["stat"]["Bonds"].append(statData) +1508 +1509 elif item["instrumentType"] == "etf": +1510 view["stat"]["Etfs"].append(statData) +1511 +1512 elif item["instrumentType"] == "Futures": +1513 view["stat"]["Futures"].append(statData) +1514 +1515 else: +1516 continue +1517 +1518 # total changes in Russian Ruble: +1519 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies +1520 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. +1521 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) +1522 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost +1523 view["stat"]["funds"]["rub"] = { +1524 "total": view["stat"]["availableRUB"], +1525 "totalCostRUB": view["stat"]["availableRUB"], +1526 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1527 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1528 } +1529 +1530 # --- pending orders sector data: +1531 uniquePendingOrders = [] +1532 uniquePendingOrdersFIGIs = [] +1533 for item in view["raw"]["orders"]: +1534 if item["figi"] not in uniquePendingOrdersFIGIs: +1535 uniquePendingOrdersFIGIs.append(item["figi"]) +1536 uniquePendingOrders.append(item) +1537 +1538 for item in uniquePendingOrders: +1539 self.figi = item["figi"] +1540 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1541 +1542 if instrument: +1543 action = TKS_ORDER_DIRECTIONS[item["direction"]] +1544 orderType = TKS_ORDER_TYPES[item["orderType"]] +1545 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] +1546 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1547 +1548 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1549 if item["direction"] == "ORDER_DIRECTION_BUY": +1550 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1551 +1552 else: +1553 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1554 +1555 # requested price for order execution: +1556 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) +1557 +1558 # necessary changes in percent to reach target from current price: +1559 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1560 +1561 view["stat"]["orders"].append({ +1562 "orderID": item["orderId"], # orderId number parameter of current order +1563 "figi": item["figi"], # FIGI identification +1564 "ticker": instrument["ticker"], # ticker name by FIGI +1565 "lotsRequested": item["lotsRequested"], # requested lots value +1566 "lotsExecuted": item["lotsExecuted"], # how many lots are executed +1567 "currentPrice": lastPrice, # current instrument's price for defined action +1568 "targetPrice": target, # requested price for order execution in base currency +1569 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency +1570 "percentChanges": changes, # changes in percent to target from current price +1571 "currency": item["currency"], # instrument's currency name +1572 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS +1573 "type": orderType, # type of order from TKS_ORDER_TYPES +1574 "status": orderState, # order status from TKS_ORDER_STATES +1575 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) +1576 }) +1577 +1578 # --- stop orders sector data: +1579 uniqueStopOrders = [] +1580 uniqueStopOrdersFIGIs = [] +1581 for item in view["raw"]["stopOrders"]: +1582 if item["figi"] not in uniqueStopOrdersFIGIs: +1583 uniqueStopOrdersFIGIs.append(item["figi"]) +1584 uniqueStopOrders.append(item) +1585 +1586 for item in uniqueStopOrders: +1587 self.figi = item["figi"] +1588 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1589 +1590 if instrument: +1591 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] +1592 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] +1593 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1594 +1595 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order +1596 if "expirationTime" in item.keys(): +1597 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] +1598 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] +1599 +1600 else: +1601 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] +1602 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] +1603 +1604 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1605 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": +1606 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1607 +1608 else: +1609 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1610 +1611 # requested price when stop-order executed: +1612 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) +1613 +1614 # price for limit-order, set up when stop-order executed: +1615 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) +1616 +1617 # necessary changes in percent to reach target from current price: +1618 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1619 +1620 view["stat"]["stopOrders"].append({ +1621 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order +1622 "figi": item["figi"], # FIGI identification +1623 "ticker": instrument["ticker"], # ticker name by FIGI +1624 "lotsRequested": item["lotsRequested"], # requested lots value +1625 "currentPrice": lastPrice, # current instrument's price for defined action +1626 "targetPrice": target, # requested price for stop-order execution in base currency +1627 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order +1628 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency +1629 "percentChanges": changes, # changes in percent to target from current price +1630 "currency": item["currency"], # instrument's currency name +1631 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS +1632 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES +1633 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES +1634 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) +1635 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) +1636 }) +1637 +1638 # --- calculating data for analytics section: +1639 # portfolio distribution by assets: +1640 view["analytics"]["distrByAssets"] = { +1641 "Ruble": { +1642 "uniques": 1, +1643 "cost": view["stat"]["availableRUB"], +1644 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1645 }, +1646 "Currencies": { +1647 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB +1648 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], +1649 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1650 }, +1651 "Shares": { +1652 "uniques": len(view["stat"]["Shares"]), +1653 "cost": view["stat"]["sharesCostRUB"], +1654 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1655 }, +1656 "Bonds": { +1657 "uniques": len(view["stat"]["Bonds"]), +1658 "cost": view["stat"]["bondsCostRUB"], +1659 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1660 }, +1661 "Etfs": { +1662 "uniques": len(view["stat"]["Etfs"]), +1663 "cost": view["stat"]["etfsCostRUB"], +1664 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1665 }, +1666 "Futures": { +1667 "uniques": len(view["stat"]["Futures"]), +1668 "cost": view["stat"]["futuresCostRUB"], +1669 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1670 }, +1671 } +1672 +1673 # portfolio distribution by companies: +1674 view["analytics"]["distrByCompanies"]["All money cash"] = { +1675 "ticker": "", +1676 "cost": view["stat"]["allCurrenciesCostRUB"], +1677 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1678 } +1679 view["analytics"]["distrByCompanies"].update(byComp) +1680 +1681 # portfolio distribution by sectors: +1682 view["analytics"]["distrBySectors"]["All money cash"] = { +1683 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], +1684 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], +1685 } +1686 view["analytics"]["distrBySectors"].update(bySect) +1687 +1688 # portfolio distribution by currencies: +1689 view["analytics"]["distrByCurrencies"].update(byCurr) +1690 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] +1691 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] +1692 +1693 # portfolio distribution by countries: +1694 view["analytics"]["distrByCountries"].update(byCountry) +1695 +1696 # --- Prepare text statistics overview in human-readable: +1697 if showStatistics: +1698 # Whatever the value `details`, header not changes: +1699 info = [ +1700 "# Client's portfolio\n\n", +1701 "* **Actual date:** [{} UTC]\n" +1702 "".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), +1703 ] +1704 +1705 if details in ["full", "positions", "digest"]: +1706 info.extend([ +1707 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1708 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( +1709 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1710 view["stat"]["totalChangesRUB"], +1711 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1712 view["stat"]["totalChangesPercentRUB"], +1713 ), +1714 ]) +1715 +1716 if details in ["full", "positions"]: +1717 info.extend([ +1718 "## Open positions\n\n", +1719 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%) |\n", +1720 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|------------------------------|\n", +1721 "| Ruble | {:>31} | | | | | |\n".format( +1722 "{:.2f} ({:.2f}) rub".format( +1723 view["stat"]["availableRUB"], +1724 view["stat"]["blockedRUB"], +1725 ) +1726 ) +1727 ]) +1728 +1729 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: +1730 return [ +1731 "| | | | | | | |\n", +1732 "| {:<27} | | | | | {:>19} | |\n".format( +1733 noTradeStr if noTradeStr else typeStr, +1734 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), +1735 ), +1736 ] +1737 +1738 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: +1739 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {:<28} |\n".format( +1740 "{} [{}]".format(data["ticker"], data["figi"]), +1741 "{:.2f} ({:.2f}) {}".format( +1742 data["volume"], +1743 data["blocked"], +1744 data["currency"], +1745 ) if showCurrencyName else "{:.0f} ({:.0f})".format( +1746 data["volume"], +1747 data["blocked"], +1748 ), +1749 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), +1750 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", +1751 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", +1752 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), +1753 "{}{:.2f} {} ({}{:.2f}%)".format( +1754 "+" if data["profit"] > 0 else "", +1755 data["profit"], data["baseCurrencyName"], +1756 "+" if data["percentProfit"] > 0 else "", +1757 data["percentProfit"], +1758 ), +1759 ) +1760 +1761 # --- Show currencies section: +1762 if view["stat"]["Currencies"]: +1763 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) +1764 for item in view["stat"]["Currencies"]: +1765 info.append(_InfoStr(item, showCurrencyName=True)) +1766 +1767 else: +1768 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) +1769 +1770 # --- Show shares section: +1771 if view["stat"]["Shares"]: +1772 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) +1773 +1774 for item in view["stat"]["Shares"]: +1775 info.append(_InfoStr(item)) +1776 +1777 else: +1778 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) +1779 +1780 # --- Show bonds section: +1781 if view["stat"]["Bonds"]: +1782 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) +1783 +1784 for item in view["stat"]["Bonds"]: +1785 info.append(_InfoStr(item)) +1786 +1787 else: +1788 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) +1789 +1790 # --- Show etfs section: +1791 if view["stat"]["Etfs"]: +1792 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) +1793 +1794 for item in view["stat"]["Etfs"]: +1795 info.append(_InfoStr(item)) +1796 +1797 else: +1798 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) +1799 +1800 # --- Show futures section: +1801 if view["stat"]["Futures"]: +1802 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) +1803 +1804 for item in view["stat"]["Futures"]: +1805 info.append(_InfoStr(item)) +1806 +1807 else: +1808 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) +1809 +1810 if details in ["full", "orders"]: +1811 # --- Show pending orders section: +1812 if view["stat"]["orders"]: +1813 info.extend([ +1814 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), +1815 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC) |\n", +1816 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|-------------------------|\n", +1817 ]) +1818 +1819 for item in view["stat"]["orders"]: +1820 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {:<23} |\n".format( +1821 "{} [{}]".format(item["ticker"], item["figi"]), +1822 item["orderID"], +1823 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), +1824 "{} {} ({}{:.2f}%)".format( +1825 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1826 item["baseCurrencyName"], +1827 "+" if item["percentChanges"] > 0 else "", +1828 float(item["percentChanges"]), +1829 ), +1830 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1831 item["action"], +1832 item["type"], +1833 item["date"], +1834 )) +1835 +1836 else: +1837 info.append("\n## Total pending limit-orders: 0\n") +1838 +1839 # --- Show stop orders section: +1840 if view["stat"]["stopOrders"]: +1841 info.extend([ +1842 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), +1843 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC) |\n", +1844 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------|\n", +1845 ]) +1846 +1847 for item in view["stat"]["stopOrders"]: +1848 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {:<19} |\n".format( +1849 "{} [{}]".format(item["ticker"], item["figi"]), +1850 item["orderID"], +1851 item["lotsRequested"], +1852 "{} {} ({}{:.2f}%)".format( +1853 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1854 item["baseCurrencyName"], +1855 "+" if item["percentChanges"] > 0 else "", +1856 float(item["percentChanges"]), +1857 ), +1858 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1859 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], +1860 item["action"], +1861 item["type"], +1862 item["expType"], +1863 item["createDate"], +1864 item["expDate"], +1865 )) +1866 +1867 else: +1868 info.append("\n## Total stop-orders: 0\n") +1869 +1870 if details in ["full", "analytics"]: +1871 # -- Show analytics section: +1872 if view["stat"]["portfolioCostRUB"] > 0: +1873 info.extend([ +1874 "\n# Analytics\n" +1875 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1876 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( +1877 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1878 view["stat"]["totalChangesRUB"], +1879 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1880 view["stat"]["totalChangesPercentRUB"], +1881 ), +1882 "\n## Portfolio distribution by assets\n" +1883 "\n| Type | Uniques | Percent | Current cost |\n", +1884 "|------------|---------|---------|--------------------|\n", +1885 ]) +1886 +1887 for key in view["analytics"]["distrByAssets"].keys(): +1888 if view["analytics"]["distrByAssets"][key]["cost"] > 0: +1889 info.append("| {:<10} | {:<7} | {:<7} | {:<18} |\n".format( +1890 key, +1891 view["analytics"]["distrByAssets"][key]["uniques"], +1892 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), +1893 "{:.2f} rub".format(view["analytics"]["distrByAssets"][key]["cost"]), +1894 )) +1895 +1896 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) +1897 info.extend([ +1898 "\n## Portfolio distribution by companies\n" +1899 "\n| Company{} | Percent | Current cost |\n".format(" " * (maxLenNames - 7)), +1900 "|--------{}-|---------|--------------------|\n".format("-" * (maxLenNames - 7)), +1901 ]) +1902 +1903 for company in view["analytics"]["distrByCompanies"].keys(): +1904 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: +1905 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) +1906 info.append("| {} | {:<7} | {:<18} |\n".format( +1907 "{}{}{}".format( +1908 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", +1909 company, +1910 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), +1911 ), +1912 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), +1913 "{:.2f} rub".format(view["analytics"]["distrByCompanies"][company]["cost"]), +1914 )) +1915 +1916 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) +1917 info.extend([ +1918 "\n## Portfolio distribution by sectors\n" +1919 "\n| Sector{} | Percent | Current cost |\n".format(" " * (maxLenSectors - 6)), +1920 "|-------{}-|---------|--------------------|\n".format("-" * (maxLenSectors - 6)), +1921 ]) +1922 +1923 for sector in view["analytics"]["distrBySectors"].keys(): +1924 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: +1925 info.append("| {}{} | {:<7} | {:<18} |\n".format( +1926 sector, +1927 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), +1928 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), +1929 "{:.2f} rub".format(view["analytics"]["distrBySectors"][sector]["cost"]), +1930 )) +1931 +1932 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) +1933 info.extend([ +1934 "\n## Portfolio distribution by currencies\n" +1935 "\n| Instruments currencies{} | Percent | Current cost |\n".format(" " * (maxLenMoney - 22)), +1936 "|-----------------------{}-|---------|--------------------|\n".format("-" * (maxLenMoney - 22)), +1937 ]) +1938 +1939 for curr in view["analytics"]["distrByCurrencies"].keys(): +1940 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: +1941 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) +1942 info.append("| {} | {:<7} | {:<18} |\n".format( +1943 "[{}] {}{}".format( +1944 curr, +1945 view["analytics"]["distrByCurrencies"][curr]["name"], +1946 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), +1947 ), +1948 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), +1949 "{:.2f} rub".format(view["analytics"]["distrByCurrencies"][curr]["cost"]), +1950 )) +1951 +1952 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) +1953 info.extend([ +1954 "\n## Portfolio distribution by countries\n" +1955 "\n| Assets by country{} | Percent | Current cost |\n".format(" " * (maxLenCountry - 17)), +1956 "|------------------{}-|---------|--------------------|\n".format("-" * (maxLenCountry - 17)), +1957 ]) +1958 +1959 for country in view["analytics"]["distrByCountries"].keys(): +1960 if view["analytics"]["distrByCountries"][country]["cost"] > 0: +1961 nameLen = len(country) +1962 info.append("| {} | {:<7} | {:<18} |\n".format( +1963 "{}{}".format( +1964 country, +1965 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), +1966 ), +1967 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), +1968 "{:.2f} rub".format(view["analytics"]["distrByCountries"][country]["cost"]), +1969 )) +1970 +1971 infoText = "".join(info) +1972 +1973 if showStatistics: +1974 uLogger.info(infoText) +1975 +1976 if details == "full" and self.overviewFile: +1977 filename = self.overviewFile +1978 +1979 elif details == "digest" and self.overviewDigestFile: +1980 filename = self.overviewDigestFile +1981 +1982 elif details == "positions" and self.overviewPositionsFile: +1983 filename = self.overviewPositionsFile +1984 +1985 elif details == "orders" and self.overviewOrdersFile: +1986 filename = self.overviewOrdersFile +1987 +1988 elif details == "analytics" and self.overviewAnalyticsFile: +1989 filename = self.overviewAnalyticsFile +1990 +1991 else: +1992 filename = "" +1993 +1994 if filename: +1995 with open(filename, "w", encoding="UTF-8") as fH: +1996 fH.write(infoText) +1997 +1998 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(filename))) +1999 +2000 return view +2001 +2002 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: +2003 """ +2004 Returns history operations between two given dates. +2005 If `reportFile` string is not empty then also save human-readable report. +2006 Shows some statistical data of closed positions. +2007 +2008 :param start: see docstring in `GetDatesAsString()` method +2009 :param end: see docstring in `GetDatesAsString()` method +2010 :param printDeals: if `True` then also prints all records to the console. +2011 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. +2012 :return: original list of dictionaries with history of deals records from API ("operations" key): +2013 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2014 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. +2015 """ +2016 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2017 +2018 uLogger.debug("Requesting history of a client's operations. Wait, please...") +2019 +2020 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2021 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" +2022 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) +2023 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker +2024 customStat = {} # custom statistics in additional to responseJSON +2025 +2026 # --- output report in human-readable format: +2027 if printDeals or self.reportFile: +2028 splitLine1 = "| | | | | |\n" # Summary section +2029 splitLine2 = "| | | | | | | | |\n" # Operations section +2030 nextDay = "" +2031 +2032 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] +2033 +2034 if len(ops) > 0: +2035 customStat = { +2036 "opsCount": 0, # total operations count +2037 "buyCount": 0, # buy operations +2038 "sellCount": 0, # sell operations +2039 "buyTotal": {"rub": 0.}, # Buy sums in different currencies +2040 "sellTotal": {"rub": 0.}, # Sell sums in different currencies +2041 "payIn": {"rub": 0.}, # Deposit brokerage account +2042 "payOut": {"rub": 0.}, # Withdrawals +2043 "divs": {"rub": 0.}, # Dividends income +2044 "coupons": {"rub": 0.}, # Coupon's income +2045 "brokerCom": {"rub": 0.}, # Service commissions +2046 "serviceCom": {"rub": 0.}, # Service commissions +2047 "marginCom": {"rub": 0.}, # Margin commissions +2048 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections +2049 } +2050 +2051 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: +2052 for item in ops: +2053 if item["state"] == "OPERATION_STATE_EXECUTED": +2054 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2055 +2056 # count buy operations: +2057 if "_BUY" in item["operationType"]: +2058 customStat["buyCount"] += 1 +2059 +2060 if item["payment"]["currency"] in customStat["buyTotal"].keys(): +2061 customStat["buyTotal"][item["payment"]["currency"]] += payment +2062 +2063 else: +2064 customStat["buyTotal"][item["payment"]["currency"]] = payment +2065 +2066 # count sell operations: +2067 elif "_SELL" in item["operationType"]: +2068 customStat["sellCount"] += 1 +2069 +2070 if item["payment"]["currency"] in customStat["sellTotal"].keys(): +2071 customStat["sellTotal"][item["payment"]["currency"]] += payment +2072 +2073 else: +2074 customStat["sellTotal"][item["payment"]["currency"]] = payment +2075 +2076 # count incoming operations: +2077 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: +2078 if item["payment"]["currency"] in customStat["payIn"].keys(): +2079 customStat["payIn"][item["payment"]["currency"]] += payment +2080 +2081 else: +2082 customStat["payIn"][item["payment"]["currency"]] = payment +2083 +2084 # count withdrawals operations: +2085 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: +2086 if item["payment"]["currency"] in customStat["payOut"].keys(): +2087 customStat["payOut"][item["payment"]["currency"]] += payment +2088 +2089 else: +2090 customStat["payOut"][item["payment"]["currency"]] = payment +2091 +2092 # count dividends income: +2093 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: +2094 if item["payment"]["currency"] in customStat["divs"].keys(): +2095 customStat["divs"][item["payment"]["currency"]] += payment +2096 +2097 else: +2098 customStat["divs"][item["payment"]["currency"]] = payment +2099 +2100 # count coupon's income: +2101 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: +2102 if item["payment"]["currency"] in customStat["coupons"].keys(): +2103 customStat["coupons"][item["payment"]["currency"]] += payment +2104 +2105 else: +2106 customStat["coupons"][item["payment"]["currency"]] = payment +2107 +2108 # count broker commissions: +2109 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: +2110 if item["payment"]["currency"] in customStat["brokerCom"].keys(): +2111 customStat["brokerCom"][item["payment"]["currency"]] += payment +2112 +2113 else: +2114 customStat["brokerCom"][item["payment"]["currency"]] = payment +2115 +2116 # count service commissions: +2117 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: +2118 if item["payment"]["currency"] in customStat["serviceCom"].keys(): +2119 customStat["serviceCom"][item["payment"]["currency"]] += payment +2120 +2121 else: +2122 customStat["serviceCom"][item["payment"]["currency"]] = payment +2123 +2124 # count margin commissions: +2125 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: +2126 if item["payment"]["currency"] in customStat["marginCom"].keys(): +2127 customStat["marginCom"][item["payment"]["currency"]] += payment +2128 +2129 else: +2130 customStat["marginCom"][item["payment"]["currency"]] = payment +2131 +2132 # count withholding taxes: +2133 elif "_TAX" in item["operationType"]: +2134 if item["payment"]["currency"] in customStat["allTaxes"].keys(): +2135 customStat["allTaxes"][item["payment"]["currency"]] += payment +2136 +2137 else: +2138 customStat["allTaxes"][item["payment"]["currency"]] = payment +2139 +2140 else: +2141 continue +2142 +2143 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] +2144 +2145 # --- view "Actions" lines: +2146 info.extend([ +2147 "| 1 | 2 | 3 | 4 | 5 |\n", +2148 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------|\n", +2149 "| **Actions:** | Trades: {:<21} | Trading volumes: | | |\n".format(customStat["opsCount"]), +2150 "| | Buy: {:<22} | {:<28} | | |\n".format( +2151 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2152 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", +2153 ), +2154 "| | Sell: {:<21} | {:<28} | | |\n".format( +2155 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2156 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", +2157 ), +2158 ]) +2159 +2160 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) +2161 for key in opsKeys: +2162 if key == "rub": +2163 continue +2164 +2165 info.extend([ +2166 "| | | {:<28} | | |\n".format( +2167 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) +2168 ), +2169 "| | | {:<28} | | |\n".format( +2170 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) +2171 ), +2172 ]) +2173 +2174 info.append(splitLine1) +2175 +2176 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: +2177 return "| | {:<29} | {:<28} | {:<20} | {:<22} |\n".format( +2178 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", +2179 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", +2180 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", +2181 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", +2182 ) +2183 +2184 # --- view "Payments" lines: +2185 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income: |\n") +2186 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) +2187 +2188 for key in paymentsKeys: +2189 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) +2190 +2191 info.append(splitLine1) +2192 +2193 # --- view "Commissions and taxes" lines: +2194 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections: |\n") +2195 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) +2196 +2197 for key in comKeys: +2198 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) +2199 +2200 info.append(splitLine1) +2201 +2202 info.extend([ +2203 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), +2204 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type |\n", +2205 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------|\n", +2206 ]) +2207 +2208 else: +2209 info.append("Broker returned no operations during this period\n") +2210 +2211 # --- view "Operations" section: +2212 for item in ops: +2213 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: +2214 continue +2215 +2216 else: +2217 self.figi = item["figi"] if item["figi"] else "" +2218 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2219 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} +2220 +2221 # group of deals during one day: +2222 if nextDay and item["date"].split("T")[0] != nextDay: +2223 info.append(splitLine2) +2224 nextDay = "" +2225 +2226 else: +2227 nextDay = item["date"].split("T")[0] # saving current day for splitting +2228 +2229 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {:<66} |\n".format( +2230 item["date"].replace("T", " ").replace("Z", "").split(".")[0], +2231 self.figi if self.figi else "—", +2232 instrument["ticker"] if instrument else "—", +2233 instrument["type"] if instrument else "—", +2234 item["quantity"] if int(item["quantity"]) > 0 else "—", +2235 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", +2236 TKS_OPERATION_STATES[item["state"]], +2237 TKS_OPERATION_TYPES[item["operationType"]], +2238 )) +2239 +2240 infoText = "".join(info) +2241 +2242 if printDeals: +2243 uLogger.info(infoText) +2244 +2245 if self.reportFile: +2246 with open(self.reportFile, "w", encoding="UTF-8") as fH: +2247 fH.write(infoText) +2248 +2249 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) +2250 +2251 return ops, customStat +2252 +2253 def History(self, start: str = None, end: str = None, interval: str = "hour", onlyMissing: bool = False, +2254 csvSep: str = ",", printCandles: bool = False, +2255 ) -> pd.DataFrame: +2256 """ +2257 This method returns last history candles of the current instrument defined by `ticker` or `figi` (FIGI id). +2258 +2259 History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. +2260 Warning! Broker server used ISO UTC time by default. +2261 +2262 If `historyFile` is not `None` then method save history to file, otherwise return only pandas dataframe. +2263 Also, `historyFile` used to update history with `onlyMissing` parameter. +2264 +2265 :param start: see docstring in `GetDatesAsString()` method. +2266 :param end: see docstring in `GetDatesAsString()` method. +2267 :param interval: this is a candle interval. Current available values are `"1min"`, `"5min"`, `"15min"`, +2268 `"hour"`, `"day"`. Default: `"hour"`. +2269 :param onlyMissing: if `True` then add only last missing candles, do not request all history length from `start`. +2270 False by default. Warning! History appends only from last candle to current time +2271 with always update last candle! +2272 :param csvSep: separator if .csv-file is used, `,` by default. +2273 :param printCandles: if `True` then also prints pandas dataframe to the console. +2274 :return: pandas dataframe with prices history. Headers of columns are defined by default: +2275 `["date", "time", "open", "high", "low", "close", "volume"]`. +2276 """ +2277 strStartDate, strEndDate = GetDatesAsString(start, end) # example: ("2020-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2278 headers = ["date", "time", "open", "high", "low", "close", "volume"] # sequence and names of column headers +2279 history = None # empty pandas object for history +2280 +2281 if interval not in TKS_CANDLE_INTERVALS.keys(): +2282 raise Exception("Interval parameter must be string with current available values: `1min`, `5min`, `15min`, `hour` and `day`.") +2283 +2284 if not (self.ticker or self.figi): +2285 raise Exception("Ticker or FIGI must be defined!") +2286 +2287 if self.ticker and not self.figi: +2288 instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) +2289 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" +2290 +2291 if self.figi and not self.ticker: +2292 instrumentByFIGI = self.SearchByFIGI(requestPrice=False, debug=False) +2293 self.ticker = instrumentByFIGI["ticker"] if instrumentByFIGI else "" +2294 +2295 dtStart = datetime.strptime(strStartDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from start time string +2296 dtEnd = datetime.strptime(strEndDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from end time string +2297 if interval.lower() != "day": +2298 dtEnd += timedelta(seconds=1) # adds 1 sec for requests, because day end returned by `GetDatesAsString()` as 23:59:59 +2299 +2300 delta = dtEnd - dtStart # current UTC time minus last time in file +2301 deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between start and end dates +2302 +2303 # calculate history length in candles: +2304 length = deltaMinutes // TKS_CANDLE_INTERVALS[interval][1] +2305 if deltaMinutes % TKS_CANDLE_INTERVALS[interval][1] > 0: +2306 length += 1 # to avoid fraction time +2307 +2308 # calculate data blocks count: +2309 blocks = 1 if length < TKS_CANDLE_INTERVALS[interval][2] else 1 + length // TKS_CANDLE_INTERVALS[interval][2] +2310 +2311 uLogger.debug("Original requested time period in local time: from [{}] to [{}]".format(start, end)) +2312 uLogger.debug("Requested time period is about from [{}] UTC to [{}] UTC".format(strStartDate, strEndDate)) +2313 uLogger.debug("Calculated history length: [{}], interval: [{}]".format(length, interval)) +2314 uLogger.debug("Data blocks, count: [{}], max candles in block: [{}]".format(blocks, TKS_CANDLE_INTERVALS[interval][2])) +2315 uLogger.debug("Requesting history candlesticks, ticker: [{}], FIGI: [{}]. Wait, please...".format(self.ticker, self.figi)) +2316 +2317 tempOld = None # pandas object for old history, if --only-missing key present +2318 lastTime = None # datetime object of last old candle in file +2319 +2320 if onlyMissing and self.historyFile is not None and self.historyFile and os.path.exists(self.historyFile): +2321 uLogger.debug("--only-missing key present, add only last missing candles...") +2322 uLogger.debug("History file will be updated: [{}]".format(os.path.abspath(self.historyFile))) +2323 +2324 tempOld = pd.read_csv(self.historyFile, sep=csvSep, header=None, names=headers) +2325 +2326 tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" +2327 tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string +2328 tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" +2329 tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string +2330 +2331 # get last datetime object from last string in file or minus 1 delta if file is empty: +2332 if len(tempOld) > 0: +2333 lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2334 +2335 else: +2336 lastTime = dtEnd - timedelta(days=1) # history file is empty, so last date set at -1 day +2337 +2338 tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time +2339 +2340 responseJSONs = [] # raw history blocks of data +2341 +2342 blockEnd = dtEnd +2343 for item in range(blocks): +2344 tail = length % TKS_CANDLE_INTERVALS[interval][2] if item + 1 == blocks else TKS_CANDLE_INTERVALS[interval][2] +2345 blockStart = blockEnd - timedelta(minutes=TKS_CANDLE_INTERVALS[interval][1] * tail) +2346 +2347 uLogger.debug("[Block #{}/{}] time period: [{}] UTC - [{}] UTC".format( +2348 item + 1, blocks, blockStart.strftime(TKS_DATE_TIME_FORMAT), blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2349 )) +2350 +2351 if blockStart == blockEnd: +2352 uLogger.debug("Skipped this zero-length block...") +2353 +2354 else: +2355 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles +2356 historyURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetCandles" +2357 self.body = str({ +2358 "figi": self.figi, +2359 "from": blockStart.strftime(TKS_DATE_TIME_FORMAT), +2360 "to": blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2361 "interval": TKS_CANDLE_INTERVALS[interval][0] +2362 }) +2363 responseJSON = self.SendAPIRequest(historyURL, reqType="POST", retry=1, pause=1, debug=False) +2364 +2365 if "code" in responseJSON.keys(): +2366 uLogger.debug("An issue occurred and block #{}/{} is empty".format(item + 1, blocks)) +2367 +2368 else: +2369 if (start.lower() == "yesterday" or start == end) and interval == "day" and len(responseJSON["candles"]) > 1: +2370 responseJSON["candles"] = responseJSON["candles"][:-1] # removes last candle for "yesterday" request +2371 +2372 responseJSONs = responseJSON["candles"] + responseJSONs # add more old history behind newest dates +2373 +2374 blockEnd = blockStart +2375 +2376 printCount = len(responseJSONs) # candles to show in console +2377 if responseJSONs: +2378 tempHistory = pd.DataFrame( +2379 data={ +2380 "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2381 "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2382 "open": [NanoToFloat(item["open"]["units"], item["open"]["nano"]) for item in responseJSONs], +2383 "high": [NanoToFloat(item["high"]["units"], item["high"]["nano"]) for item in responseJSONs], +2384 "low": [NanoToFloat(item["low"]["units"], item["low"]["nano"]) for item in responseJSONs], +2385 "close": [NanoToFloat(item["close"]["units"], item["close"]["nano"]) for item in responseJSONs], +2386 "volume": [int(item["volume"]) for item in responseJSONs], +2387 }, +2388 index=range(len(responseJSONs)), +2389 columns=["date", "time", "open", "high", "low", "close", "volume"], +2390 ) +2391 tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") +2392 tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") +2393 +2394 # append only newest candles to old history if --only-missing key present: +2395 if onlyMissing and tempOld is not None and lastTime is not None: +2396 index = 0 # find start index in tempHistory data: +2397 +2398 for i, item in tempHistory.iterrows(): +2399 curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2400 +2401 if curTime == lastTime: +2402 uLogger.debug("History will be updated starting from the date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) +2403 index = i +2404 printCount = index + 1 +2405 break +2406 +2407 history = pd.concat([tempOld, tempHistory[index:]], ignore_index=True) +2408 +2409 else: +2410 history = tempHistory # if no `--only-missing` key then load full data from server +2411 +2412 uLogger.debug("Last 3 rows of received history:\n{}".format(pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], max_cols=20, index=False))) +2413 +2414 if printCandles and history is not None and not history.empty: +2415 uLogger.info("Here's requested history between [{}] UTC and [{}] UTC, not-empty candles count: [{}]\n{}".format( +2416 strStartDate.replace("T", " ").replace("Z", ""), strEndDate.replace("T", " ").replace("Z", ""), len(history[-printCount:]), +2417 pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-printCount:], max_cols=20, index=False), +2418 )) +2419 +2420 if self.historyFile is not None: +2421 if history is not None and not history.empty: +2422 history.to_csv(self.historyFile, sep=csvSep, index=False, header=None) +2423 uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format(self.ticker, self.figi, interval, os.path.abspath(self.historyFile))) +2424 +2425 else: +2426 uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) +2427 +2428 else: +2429 uLogger.debug("--output key is not defined. Parsed history file not saved to file, only pandas dataframe returns.") +2430 +2431 return history +2432 +2433 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2434 """ +2435 Universal method to create market order and make deal at the current price. Returns JSON data with response. +2436 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2437 +2438 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. +2439 +2440 :param operation: string "Buy" or "Sell". +2441 :param lots: volume, integer count of lots >= 1. +2442 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. +2443 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. +2444 :param expDate: string "Undefined" by default or local date in future, +2445 it is a string with format `%Y-%m-%d %H:%M:%S`. +2446 :return: JSON with response from broker server. +2447 """ +2448 if operation is None or not operation or operation not in ("Buy", "Sell"): +2449 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2450 +2451 if lots is None or lots < 1: +2452 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") +2453 lots = 1 +2454 +2455 if tp is None or tp < 0: +2456 tp = 0 +2457 +2458 if sl is None or sl < 0: +2459 sl = 0 +2460 +2461 if expDate is None or not expDate: +2462 expDate = "Undefined" +2463 +2464 if not (self.ticker or self.figi): +2465 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2466 +2467 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2468 self.ticker = instrument["ticker"] +2469 self.figi = instrument["figi"] +2470 +2471 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) +2472 +2473 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2474 self.body = str({ +2475 "figi": self.figi, +2476 "quantity": str(lots), +2477 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2478 "accountId": str(self.accountId), +2479 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES +2480 }) +2481 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) +2482 +2483 if "orderId" in response.keys(): +2484 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( +2485 operation, response["orderId"], +2486 self.ticker, self.figi, lots, +2487 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], +2488 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], +2489 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], +2490 )) +2491 +2492 else: +2493 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") +2494 +2495 if tp > 0: +2496 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) +2497 +2498 if sl > 0: +2499 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) +2500 +2501 return response +2502 +2503 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2504 """ +2505 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. +2506 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2507 +2508 See also: `Order()` and `Trade()` docstrings. +2509 +2510 :param lots: volume, integer count of lots >= 1. +2511 :param tp: float > 0, take profit price of stop-order. +2512 :param sl: float > 0, stop loss price of stop-order. +2513 :param expDate: it's a local date in future. +2514 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2515 :return: JSON with response from broker server. +2516 """ +2517 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate) +2518 +2519 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2520 """ +2521 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. +2522 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2523 +2524 See also: `Order()` and `Trade()` docstrings. +2525 +2526 :param lots: volume, integer count of lots >= 1. +2527 :param tp: float > 0, take profit price of stop-order. +2528 :param sl: float > 0, stop loss price of stop-order. +2529 :param expDate: it's a local date in future. +2530 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2531 :return: JSON with response from broker server. +2532 """ +2533 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate) +2534 +2535 def CloseTrades(self, tickers: list, overview: dict = None) -> None: +2536 """ +2537 Close position of given instruments. +2538 +2539 :param tickers: tickers list of instruments that must be closed. +2540 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2541 This avoids unnecessary downloading data from the server. +2542 """ +2543 if not tickers: +2544 uLogger.info("Tickers list is empty, nothing to close.") +2545 +2546 else: +2547 if overview is None or not overview: +2548 overview = self.Overview(showStatistics=False) +2549 +2550 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] +2551 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) +2552 +2553 for ticker in tickers: +2554 if ticker not in allOpenedTickers: +2555 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) +2556 continue +2557 +2558 # search open trade info about instrument by ticker: +2559 instrument = {} +2560 for iType in TKS_INSTRUMENTS: +2561 if instrument: +2562 break +2563 +2564 for item in overview["stat"][iType]: +2565 if item["ticker"] == ticker: +2566 instrument = item +2567 break +2568 +2569 if instrument: +2570 self.ticker = ticker +2571 self.figi = instrument["figi"] +2572 +2573 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( +2574 self.ticker, +2575 self.figi, +2576 int(instrument["volume"]), +2577 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", +2578 )) +2579 +2580 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation +2581 +2582 if tradeLots > 0: +2583 if instrument["blocked"] > 0: +2584 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( +2585 instrument["blocked"], +2586 self.ticker, +2587 tradeLots, +2588 )) +2589 +2590 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: +2591 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) +2592 +2593 else: +2594 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker)) +2595 +2596 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: +2597 """ +2598 Close all positions of given instruments with defined type. +2599 +2600 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. +2601 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2602 This avoids unnecessary downloading data from the server. +2603 """ +2604 if iType not in TKS_INSTRUMENTS: +2605 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) +2606 +2607 else: +2608 if overview is None or not overview: +2609 overview = self.Overview(showStatistics=False) +2610 +2611 tickers = [item["ticker"] for item in overview["stat"][iType]] +2612 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) +2613 +2614 if tickers and overview: +2615 self.CloseTrades(tickers, overview) +2616 +2617 else: +2618 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType)) +2619 +2620 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2621 """ +2622 Universal method to create market or limit orders with all available parameters. +2623 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. +2624 +2625 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above +2626 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. +2627 +2628 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" +2629 then broker immediately open market order as you can do simple --buy or --sell operations! +2630 +2631 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". +2632 When current price will go up or down to target price value then broker opens a limit order. +2633 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. +2634 +2635 Only one attempt and no retry for opens order. If network issue occurred you can create new request. +2636 +2637 :param operation: string "Buy" or "Sell". +2638 :param orderType: string "Limit" or "Stop". +2639 :param lots: volume, integer count of lots >= 1. +2640 :param targetPrice: target price > 0. This is open trade price for limit order. +2641 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. +2642 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. +2643 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types +2644 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2645 Stop loss order always executed by market price. +2646 :param expDate: string "Undefined" by default or local date in future. +2647 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2648 This date is converting to UTC format for server. This parameter only makes sense for stop-order. +2649 A limit order has no expiration date, it lasts until the end of the trading day. +2650 :return: JSON with response from broker server. +2651 """ +2652 if operation is None or not operation or operation not in ("Buy", "Sell"): +2653 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2654 +2655 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): +2656 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") +2657 +2658 if lots is None or lots < 1: +2659 raise Exception("You must define trade volume > 0: integer count of lots!") +2660 +2661 if targetPrice is None or targetPrice <= 0: +2662 raise Exception("Target price for limit-order must be greater than 0!") +2663 +2664 if limitPrice is None or limitPrice <= 0: +2665 limitPrice = targetPrice +2666 +2667 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): +2668 stopType = "Limit" +2669 +2670 if expDate is None or not expDate: +2671 expDate = "Undefined" +2672 +2673 if not (self.ticker or self.figi): +2674 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2675 +2676 response = {} +2677 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2678 self.ticker = instrument["ticker"] +2679 self.figi = instrument["figi"] +2680 +2681 if orderType == "Limit": +2682 uLogger.debug( +2683 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( +2684 self.ticker, self.figi, +2685 operation, lots, targetPrice, instrument["currency"], +2686 )) +2687 +2688 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2689 self.body = str({ +2690 "figi": self.figi, +2691 "quantity": str(lots), +2692 "price": FloatToNano(targetPrice), +2693 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2694 "accountId": str(self.accountId), +2695 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES +2696 }) +2697 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2698 +2699 if "orderId" in response.keys(): +2700 uLogger.info( +2701 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( +2702 response["orderId"], +2703 self.ticker, self.figi, +2704 operation, lots, targetPrice, instrument["currency"], +2705 )) +2706 +2707 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2708 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: +2709 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( +2710 targetPrice, instrument["currency"], +2711 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2712 )) +2713 +2714 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: +2715 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( +2716 targetPrice, instrument["currency"], +2717 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2718 )) +2719 +2720 else: +2721 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") +2722 +2723 if orderType == "Stop": +2724 uLogger.debug( +2725 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( +2726 self.ticker, self.figi, +2727 operation, lots, +2728 targetPrice, instrument["currency"], +2729 limitPrice, instrument["currency"], +2730 stopType, expDate, +2731 )) +2732 +2733 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" +2734 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") +2735 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" +2736 +2737 body = { +2738 "figi": self.figi, +2739 "quantity": str(lots), +2740 "price": FloatToNano(limitPrice), +2741 "stopPrice": FloatToNano(targetPrice), +2742 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS +2743 "accountId": str(self.accountId), +2744 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES +2745 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES +2746 } +2747 +2748 if expDateUTC: +2749 body["expireDate"] = expDateUTC +2750 +2751 self.body = str(body) +2752 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2753 +2754 if "stopOrderId" in response.keys(): +2755 uLogger.info( +2756 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( +2757 response["stopOrderId"], +2758 self.ticker, self.figi, +2759 operation, lots, +2760 targetPrice, instrument["currency"], +2761 limitPrice, instrument["currency"], +2762 TKS_STOP_ORDER_TYPES[stopOrderType], +2763 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], +2764 )) +2765 +2766 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2767 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2768 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2769 targetPrice, instrument["currency"], +2770 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2771 )) +2772 +2773 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2774 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2775 targetPrice, instrument["currency"], +2776 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2777 )) +2778 +2779 else: +2780 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") +2781 +2782 return response +2783 +2784 def BuyLimit(self, lots: int, targetPrice: float) -> dict: +2785 """ +2786 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: +2787 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then +2788 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! +2789 See also: `Order()` docstring. +2790 +2791 :param lots: volume, integer count of lots >= 1. +2792 :param targetPrice: target price > 0. This is open trade price for limit order. +2793 :return: JSON with response from broker server. +2794 """ +2795 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice) +2796 +2797 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2798 """ +2799 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. +2800 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2801 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2802 target price value then broker opens a limit order. See also: `Order()` docstring. +2803 +2804 :param lots: volume, integer count of lots >= 1. +2805 :param targetPrice: target price > 0. This is trigger price for buy stop-order. +2806 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2807 with price equal to limitPrice, when current price goes to target price of buy stop-order. +2808 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2809 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2810 :param expDate: string "Undefined" by default or local date in future. +2811 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2812 This date is converting to UTC format for server. +2813 :return: JSON with response from broker server. +2814 """ +2815 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +2816 +2817 def SellLimit(self, lots: int, targetPrice: float) -> dict: +2818 """ +2819 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: +2820 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then +2821 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! +2822 See also: `Order()` docstring. +2823 +2824 :param lots: volume, integer count of lots >= 1. +2825 :param targetPrice: target price > 0. This is open trade price for limit order. +2826 :return: JSON with response from broker server. +2827 """ +2828 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice) +2829 +2830 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2831 """ +2832 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. +2833 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2834 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2835 target price value then broker opens a limit order. See also: `Order()` docstring. +2836 +2837 :param lots: volume, integer count of lots >= 1. +2838 :param targetPrice: target price > 0. This is trigger price for sell stop-order. +2839 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2840 with price equal to limitPrice, when current price goes to target price of sell stop-order. +2841 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2842 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2843 :param expDate: string "Undefined" by default or local date in future. +2844 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2845 This date is converting to UTC format for server. +2846 :return: JSON with response from broker server. +2847 """ +2848 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +2849 +2850 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: +2851 """ +2852 Cancel order or list of orders by its `orderId` or `stopOrderId`. +2853 +2854 :param orderIDs: list of integers with `orderId` or `stopOrderId`. +2855 :param allOrdersIDs: pre-received lists of all active pending orders. +2856 This avoids unnecessary downloading data from the server. +2857 :param allStopOrdersIDs: pre-received lists of all active stop orders. +2858 """ +2859 if orderIDs: +2860 if allOrdersIDs is None or not allOrdersIDs: +2861 rawOrders = self.RequestPendingOrders() +2862 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2863 +2864 if allStopOrdersIDs is None or not allStopOrdersIDs: +2865 rawStopOrders = self.RequestStopOrders() +2866 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2867 +2868 for orderID in orderIDs: +2869 idInPendingOrders = orderID in allOrdersIDs +2870 idInStopOrders = orderID in allStopOrdersIDs +2871 +2872 if not (idInPendingOrders or idInStopOrders): +2873 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) +2874 continue +2875 +2876 else: +2877 if idInPendingOrders: +2878 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) +2879 +2880 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder +2881 self.body = str({"accountId": self.accountId, "orderId": orderID}) +2882 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" +2883 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2884 +2885 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2886 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2887 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) +2888 +2889 else: +2890 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) +2891 +2892 elif idInStopOrders: +2893 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) +2894 +2895 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder +2896 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) +2897 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" +2898 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2899 +2900 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2901 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2902 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) +2903 +2904 else: +2905 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) +2906 +2907 else: +2908 continue +2909 +2910 def CloseAllOrders(self) -> None: +2911 """ +2912 Gets a list of open pending and stop orders and cancel it all. +2913 """ +2914 rawOrders = self.RequestPendingOrders() +2915 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2916 lenOrders = len(allOrdersIDs) +2917 +2918 rawStopOrders = self.RequestStopOrders() +2919 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2920 lenSOrders = len(allStopOrdersIDs) +2921 +2922 if lenOrders > 0 or lenSOrders > 0: +2923 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) +2924 +2925 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) +2926 +2927 else: +2928 uLogger.info("Orders not found, nothing to cancel.") +2929 +2930 def CloseAll(self, *args) -> None: +2931 """ +2932 Close all available (not blocked) opened trades and orders. +2933 +2934 Also you can select one or more keywords case insensitive: +2935 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. +2936 +2937 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. +2938 """ +2939 overview = self.Overview(showStatistics=False) # get all open trades info +2940 +2941 if len(args) == 0: +2942 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") +2943 self.CloseAllOrders() # close all pending and stop orders +2944 +2945 for iType in TKS_INSTRUMENTS: +2946 if iType != "Currencies": +2947 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +2948 +2949 else: +2950 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) +2951 lowerArgs = [x.lower() for x in args] +2952 +2953 if "orders" in lowerArgs: +2954 self.CloseAllOrders() # close all pending and stop orders +2955 +2956 for iType in TKS_INSTRUMENTS: +2957 if iType.lower() in lowerArgs and iType != "Currencies": +2958 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +2959 +2960 @staticmethod +2961 def ParseOrderParameters(operation, **inputParameters): +2962 """ +2963 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. +2964 +2965 :param operation: string "Buy" or "Sell". +2966 :param inputParameters: this is dict of strings that looks like this +2967 `{"lots": "L_int,...", "prices": "P_float,..."}` where +2968 "lots" key: one or more lot values (integer numbers) to open with every limit-order +2969 "prices" key: one or more prices to open limit-orders +2970 Counts of values in lots and prices lists must be equals! +2971 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` +2972 """ +2973 # TODO: update order grid work with api v2 +2974 pass +2975 # uLogger.debug("Input parameters: {}".format(inputParameters)) +2976 # +2977 # if operation is None or not operation or operation not in ("Buy", "Sell"): +2978 # raise Exception("You must define operation type: 'Buy' or 'Sell'!") +2979 # +2980 # if "l" in inputParameters.keys(): +2981 # inputParameters["lots"] = inputParameters.pop("l") +2982 # +2983 # if "p" in inputParameters.keys(): +2984 # inputParameters["prices"] = inputParameters.pop("p") +2985 # +2986 # if "lots" not in inputParameters.keys() or "prices" not in inputParameters.keys(): +2987 # raise Exception("Both of 'lots' and 'prices' keys must be define to open grid orders!") +2988 # +2989 # lots = [int(item.strip()) for item in inputParameters["lots"].split(",")] +2990 # prices = [float(item.strip()) for item in inputParameters["prices"].split(",")] +2991 # +2992 # if len(lots) != len(prices): +2993 # raise Exception("'lots' and 'prices' lists must have equal length of values!") +2994 # +2995 # uLogger.debug("Extracted parameters for orders:") +2996 # uLogger.debug("lots = {}".format(lots)) +2997 # uLogger.debug("prices = {}".format(prices)) +2998 # +2999 # # list of dictionaries with order's parameters: [{"lot": lots_1, "price": price_1}, {...}, ...] +3000 # result = [{"lot": lots[item], "price": prices[item]} for item in range(len(prices))] +3001 # uLogger.debug("Order parameters: {}".format(result)) +3002 # +3003 # return result +3004 +3005 def IsInPortfolio(self, portfolio: dict = None) -> bool: +3006 """ +3007 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. +3008 +3009 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3010 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. +3011 """ +3012 result = False +3013 msg = "Instrument not defined!" +3014 +3015 if portfolio is None or not portfolio: +3016 portfolio = self.Overview(showStatistics=False) +3017 +3018 if self.ticker: +3019 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3020 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3021 +3022 for iType in TKS_INSTRUMENTS: +3023 for instrument in portfolio["stat"][iType]: +3024 if instrument["ticker"] == self.ticker: +3025 result = True +3026 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) +3027 break +3028 +3029 elif self.figi: +3030 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3031 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3032 +3033 for iType in TKS_INSTRUMENTS: +3034 for instrument in portfolio["stat"][iType]: +3035 if instrument["figi"] == self.figi: +3036 result = True +3037 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) +3038 break +3039 +3040 else: +3041 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3042 +3043 uLogger.debug(msg) +3044 +3045 return result +3046 +3047 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: +3048 """ +3049 Returns instrument is in the user's portfolio if it presents there. +3050 Instrument must be defined by `ticker` (highly priority) or `figi`. +3051 +3052 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3053 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. +3054 """ +3055 result = None +3056 msg = "Instrument not defined!" +3057 +3058 if portfolio is None or not portfolio: +3059 portfolio = self.Overview(showStatistics=False) +3060 +3061 if self.ticker: +3062 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3063 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3064 +3065 for iType in TKS_INSTRUMENTS: +3066 for instrument in portfolio["stat"][iType]: +3067 if instrument["ticker"] == self.ticker: +3068 result = instrument +3069 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) +3070 break +3071 +3072 elif self.figi: +3073 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3074 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3075 +3076 for iType in TKS_INSTRUMENTS: +3077 for instrument in portfolio["stat"][iType]: +3078 if instrument["figi"] == self.figi: +3079 result = instrument +3080 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) +3081 break +3082 +3083 else: +3084 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3085 +3086 uLogger.debug(msg) +3087 +3088 return result +3089 +3090 +3091class Args: +3092 """ +3093 If `Main()` function is imported as module, then this class used to convert arguments from **kwargs as object. +3094 """ +3095 def __init__(self, **kwargs): +3096 self.__dict__.update(kwargs) +3097 +3098 def __getattr__(self, item): +3099 return None +3100 +3101 +3102def ParseArgs(): +3103 """ +3104 Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/ +3105 """ +3106 parser = ArgumentParser() # command-line string parser +3107 +3108 parser.description = "TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol. It can view history, orders and market information. Also, you can open orders and trades. See examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples" +3109 parser.usage = "\n/as module/ python TKSBrokerAPI.py [some options] [one command]\n/as CLI tool/ tksbrokerapi [some options] [one command]" +3110 +3111 # --- options: +3112 +3113 parser.add_argument("--no-cache", action="store_true", default=False, help="Option: not use local cache `dump.json`, but update raw instruments data when starting the program. `False` by default.") +3114 parser.add_argument("--token", type=str, help="Option: Tinkoff service's api key. If not set then used environment variable `TKS_API_TOKEN`. See how to use: https://tinkoff.github.io/investAPI/token/") +3115 parser.add_argument("--account-id", type=str, default=None, help="Option: string with an user numeric account ID in Tinkoff Broker. It can be found in any broker's reports (see the contract number). Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`.") +3116 +3117 parser.add_argument("--ticker", "-t", type=str, help="Option: instrument's ticker, e.g. `IBM`, `YNDX`, `GOOGL` etc. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR`.") +3118 parser.add_argument("--figi", "-f", type=str, help="Option: instrument's FIGI, e.g. `BBG006L8G4H1` (for `YNDX`).") +3119 +3120 parser.add_argument("--depth", type=int, default=1, help="Option: Depth of Market (DOM) can be >=1, 1 by default.") +3121 parser.add_argument("--no-cancelled", "--no-canceled", action="store_true", default=False, help="Option: remove information about cancelled operations from the deals report by the `--deals` key. `False` by default.") +3122 +3123 parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If `None` then used default files.") +3124 # parser.add_argument("--output-type", type=str, choices=[None, ".md", ".csv", ".xlsx"], default=None, help="Option: replace default type of output files for some commands. You can choose: `.md`, `.csv` and `.xlsx`. If `None` then used default file types.") +3125 +3126 parser.add_argument("--interval", type=str, default="hour", help="Option: available values are `1min`, `5min`, `15min`, `hour` and `day`. Used only with `--history` key. This is time period of one candle. Default: `hour` for every history candles.") +3127 parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. `False` by default.") +3128 parser.add_argument("--csv-sep", type=str, default=",", help="Option: separator if .csv-file is used, `,` by default.") +3129 +3130 parser.add_argument("--debug-level", "--verbosity", "-v", type=int, default=20, help="Option: showing STDOUT messages of minimal debug level, e.g. 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 = ERROR, 50 = CRITICAL. INFO (20) by default.") +3131 +3132 # --- commands: +3133 +3134 parser.add_argument("--list", "-l", action="store_true", help="Action: get and print all available instruments and some information from broker server. Also, you can define `--output` key to save list of instruments to file, default: `instruments.md`.") +3135 parser.add_argument("--search", "-s", type=str, nargs=1, help="Action: search for an instruments by part of the name, ticker or FIGI. Also, you can define `--output` key to save results to file, default: `search-results.md`.") +3136 parser.add_argument("--info", "-i", action="store_true", help="Action: get information from broker server about instrument by it's ticker or FIGI. `--ticker` key or `--figi` key must be defined!") +3137 parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use `--depth` key. `--ticker` key or `--figi` key must be defined!") +3138 parser.add_argument("--prices", "-p", type=str, nargs="+", help="Action: get and print current prices for list of given instruments (by it's tickers or by FIGIs). WARNING! This is too long operation if you request a lot of instruments! Also, you can define `--output` key to save list of prices to file, default: `prices.md`.") +3139 +3140 parser.add_argument("--overview", "-o", action="store_true", help="Action: shows all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") +3141 parser.add_argument("--overview-digest", action="store_true", help="Action: shows a short digest of the portfolio status. Also, you can define `--output` key to save this information to file, default: `overview-digest.md`.") +3142 parser.add_argument("--overview-positions", action="store_true", help="Action: shows only open positions. Also, you can define `--output` key to save this information to file, default: `overview-positions.md`.") +3143 parser.add_argument("--overview-orders", action="store_true", help="Action: shows only sections of open limits and stop orders. Also, you can define `--output` key to save this information to file, default: `overview-orders.md`.") +3144 parser.add_argument("--overview-analytics", action="store_true", help="Action: shows only the analytics section and the distribution of the portfolio by various categories. Also, you can define `--output` key to save this information to file, default: `overview-analytics.md`.") +3145 +3146 parser.add_argument("--deals", "-d", type=str, nargs="*", help="Action: show all deals between two given dates. Start day may be an integer number: -1, -2, -3 days ago. Also, you can use keywords: `today`, `yesterday` (-1), `week` (-7), `month` (-30) and `year` (-365). Dates format must be: `%%Y-%%m-%%d`, e.g. 2020-02-03. With `--no-cancelled` key information about cancelled operations will be removed from the deals report. Also, you can define `--output` key to save all deals to file, default: `deals.md`.") +3147 parser.add_argument("--history", type=str, nargs="*", help="Action: get last history candles of the current instrument defined by `--ticker` or `--figi` (FIGI id) keys. History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. Also, you can define `--output` key to save history candlesticks to file.") +3148 +3149 parser.add_argument("--trade", nargs="*", help="Action: universal action to open market position for defined ticker or FIGI. You must specify 1-5 parameters: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. See examples in readme.") +3150 parser.add_argument("--buy", nargs="*", help="Action: immediately open BUY market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") +3151 parser.add_argument("--sell", nargs="*", help="Action: immediately open SELL market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") +3152 +3153 parser.add_argument("--order", nargs="*", help="Action: universal action to open limit or stop-order in any directions. You must specify 4-7 parameters: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]]. See examples in readme.") +3154 parser.add_argument("--buy-limit", type=float, nargs=2, help="Action: open pending BUY limit-order (below current price). You must specify only 2 parameters: [lots] [target price] to open BUY limit-order. If you try to create `Buy` limit-order above current price then broker immediately open `Buy` market order, such as if you do simple `--buy` operation!") +3155 parser.add_argument("--sell-limit", type=float, nargs=2, help="Action: open pending SELL limit-order (above current price). You must specify only 2 parameters: [lots] [target price] to open SELL limit-order. If you try to create `Sell` limit-order below current price then broker immediately open `Sell` market order, such as if you do simple `--sell` operation!") +3156 parser.add_argument("--buy-stop", nargs="*", help="Action: open BUY stop-order. You must specify at least 2 parameters: [lots] [target price] to open BUY stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") +3157 parser.add_argument("--sell-stop", nargs="*", help="Action: open SELL stop-order. You must specify at least 2 parameters: [lots] [target price] to open SELL stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") +3158 # parser.add_argument("--buy-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending BUY limit-orders (below current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") +3159 # parser.add_argument("--sell-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending SELL limit-orders (above current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") +3160 +3161 parser.add_argument("--close-order", "--cancel-order", type=str, nargs=1, help="Action: close only one order by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") +3162 parser.add_argument("--close-orders", "--cancel-orders", type=str, nargs="+", help="Action: close one or list of orders by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") +3163 parser.add_argument("--close-trade", "--cancel-trade", action="store_true", help="Action: close only one position for instrument defined by `--ticker` key, including for currencies tickers.") +3164 parser.add_argument("--close-trades", "--cancel-trades", type=str, nargs="+", help="Action: close positions for list of tickers, including for currencies tickers.") +3165 parser.add_argument("--close-all", "--cancel-all", type=str, nargs="*", help="Action: close all available (not blocked) opened trades and orders, excluding for currencies. Also you can select one or more keywords case insensitive to specify trades type: `orders`, `shares`, `bonds`, `etfs` and `futures`, but not `currencies`. Currency positions you must closes manually using `--buy`, `--sell`, `--close-trade` or `--close-trades` operations.") +3166 +3167 cmdArgs = parser.parse_args() +3168 return cmdArgs +3169 +3170 +3171def Main(**kwargs): +3172 """ +3173 Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command. +3174 +3175 See examples: https://tim55667757.github.io/TKSBrokerAPI/ +3176 """ +3177 args = Args(**kwargs) if kwargs else ParseArgs() # get and parse command-line parameters or use **kwarg parameters +3178 +3179 if args.debug_level: +3180 uLogger.level = 10 # always debug level by default +3181 uLogger.handlers[0].level = args.debug_level # level for STDOUT +3182 +3183 exitCode = 0 +3184 start = datetime.now(tzutc()) +3185 uLogger.debug("TKSBrokerAPI module started at: [{}] UTC, it is [{}] local time".format( +3186 start.strftime("%Y-%m-%d %H:%M:%S"), +3187 start.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), +3188 )) +3189 +3190 # Init class for trading with Tinkoff Broker: +3191 server = TinkoffBrokerServer( +3192 token=args.token, +3193 accountId=args.account_id, +3194 iList=kwargs["instruments"] if kwargs and "instruments" in kwargs.keys() else None, # re-use iList +3195 useCache=not args.no_cache, +3196 ) +3197 +3198 try: +3199 # --- set some options: +3200 +3201 if args.ticker: +3202 if args.ticker in server.aliasesKeys: +3203 server.ticker = server.aliases[args.ticker] # Replace some tickers with it's aliases +3204 +3205 else: +3206 server.ticker = args.ticker +3207 +3208 if args.figi: +3209 server.figi = args.figi +3210 +3211 if args.depth is not None: +3212 server.depth = args.depth +3213 +3214 # if args.length is not None: +3215 # server.historyLength = args.length +3216 # +3217 # if args.interval is not None: +3218 # server.historyInterval = args.interval +3219 +3220 # --- do one of commands: +3221 +3222 if args.list: +3223 if args.output is not None: +3224 server.instrumentsFile = args.output +3225 +3226 server.ShowInstrumentsInfo(showInstruments=True) +3227 +3228 elif args.search: +3229 if args.output is not None: +3230 server.searchResultsFile = args.output +3231 +3232 server.SearchInstruments(pattern=args.search[0], showResults=True) +3233 +3234 elif args.info: +3235 if not (args.ticker or args.figi): +3236 raise Exception("`--ticker` key or `--figi` key is required for this operation!") +3237 +3238 if args.ticker: +3239 server.SearchByTicker(requestPrice=True, showInfo=True, debug=False) # show info and current prices by ticker name +3240 +3241 else: +3242 server.SearchByFIGI(requestPrice=True, showInfo=True, debug=False) # show info and current prices by FIGI id +3243 +3244 elif args.price: +3245 if not (args.ticker or args.figi): +3246 raise Exception("`--ticker` key or `--figi` key is required for this operation!") +3247 +3248 server.GetCurrentPrices(showPrice=True) +3249 +3250 elif args.prices is not None: +3251 if args.output is not None: +3252 server.pricesFile = args.output +3253 +3254 server.GetListOfPrices(instruments=args.prices, showPrices=True) # WARNING: too long wait for a lot of instruments prices +3255 +3256 elif args.overview: +3257 if args.output is not None: +3258 server.overviewFile = args.output +3259 +3260 server.Overview(showStatistics=True, details="full") +3261 +3262 elif args.overview_digest: +3263 if args.output is not None: +3264 server.overviewDigestFile = args.output +3265 +3266 server.Overview(showStatistics=True, details="digest") +3267 +3268 elif args.overview_positions: +3269 if args.output is not None: +3270 server.overviewPositionsFile = args.output +3271 +3272 server.Overview(showStatistics=True, details="positions") +3273 +3274 elif args.overview_orders: +3275 if args.output is not None: +3276 server.overviewOrdersFile = args.output +3277 +3278 server.Overview(showStatistics=True, details="orders") +3279 +3280 elif args.overview_analytics: +3281 if args.output is not None: +3282 server.overviewAnalyticsFile = args.output +3283 +3284 server.Overview(showStatistics=True, details="analytics") +3285 +3286 elif args.deals is not None: +3287 if args.output is not None: +3288 server.reportFile = args.output +3289 +3290 if 0 <= len(args.deals) < 3: +3291 server.Deals( +3292 start=args.deals[0] if len(args.deals) >= 1 else None, +3293 end=args.deals[1] if len(args.deals) == 2 else None, +3294 printDeals=True, # Always show deals report in console +3295 showCancelled=not args.no_cancelled, # If --no-cancelled key then remove cancelled operations from the deals report. False by default. +3296 ) +3297 +3298 else: +3299 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") +3300 +3301 elif args.history is not None: +3302 if args.output is not None: +3303 server.historyFile = args.output +3304 +3305 if 0 <= len(args.history) < 3: +3306 server.History( +3307 start=args.history[0] if len(args.history) >= 1 else None, +3308 end=args.history[1] if len(args.history) == 2 else None, +3309 interval="hour" if args.interval is None or not args.interval else args.interval, +3310 onlyMissing=False if args.only_missing is None or not args.only_missing else args.only_missing, +3311 csvSep="," if args.csv_sep is None or not args.csv_sep else args.csv_sep, +3312 printCandles=True, # shows all downloaded candles in console +3313 ) +3314 +3315 else: +3316 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") +3317 +3318 elif args.trade is not None: +3319 if 1 <= len(args.trade) <= 5: +3320 server.Trade( +3321 operation=args.trade[0], +3322 lots=int(args.trade[1]) if len(args.trade) >= 2 else 1, +3323 tp=float(args.trade[2]) if len(args.trade) >= 3 else 0., +3324 sl=float(args.trade[3]) if len(args.trade) >= 4 else 0., +3325 expDate=args.trade[4] if len(args.trade) == 5 else "Undefined", +3326 ) +3327 +3328 else: +3329 uLogger.error("You must specify 1-5 parameters to open trade: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3330 +3331 elif args.buy is not None: +3332 if 0 <= len(args.buy) <= 4: +3333 server.Buy( +3334 lots=int(args.buy[0]) if len(args.buy) >= 1 else 1, +3335 tp=float(args.buy[1]) if len(args.buy) >= 2 else 0., +3336 sl=float(args.buy[2]) if len(args.buy) >= 3 else 0., +3337 expDate=args.buy[3] if len(args.buy) == 4 else "Undefined", +3338 ) +3339 +3340 else: +3341 uLogger.error("You must specify 0-4 parameters to open buy position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3342 +3343 elif args.sell is not None: +3344 if 0 <= len(args.sell) <= 4: +3345 server.Sell( +3346 lots=int(args.sell[0]) if len(args.sell) >= 1 else 1, +3347 tp=float(args.sell[1]) if len(args.sell) >= 2 else 0., +3348 sl=float(args.sell[2]) if len(args.sell) >= 3 else 0., +3349 expDate=args.sell[3] if len(args.sell) == 4 else "Undefined", +3350 ) +3351 +3352 else: +3353 uLogger.error("You must specify 0-4 parameters to open sell position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3354 +3355 elif args.order: +3356 if 4 <= len(args.order) <= 7: +3357 server.Order( +3358 operation=args.order[0], +3359 orderType=args.order[1], +3360 lots=int(args.order[2]), +3361 targetPrice=float(args.order[3]), +3362 limitPrice=float(args.order[4]) if len(args.order) >= 5 else 0., +3363 stopType=args.order[5] if len(args.order) >= 6 else "Limit", +3364 expDate=args.order[6] if len(args.order) == 7 else "Undefined", +3365 ) +3366 +3367 else: +3368 uLogger.error("You must specify 4-7 parameters to open order: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]]. See: `python TKSBrokerAPI.py --help`") +3369 +3370 elif args.buy_limit: +3371 server.BuyLimit(lots=int(args.buy_limit[0]), targetPrice=args.buy_limit[1]) +3372 +3373 elif args.sell_limit: +3374 server.SellLimit(lots=int(args.sell_limit[0]), targetPrice=args.sell_limit[1]) +3375 +3376 elif args.buy_stop: +3377 if 2 <= len(args.buy_stop) <= 7: +3378 server.BuyStop( +3379 lots=int(args.buy_stop[0]), +3380 targetPrice=float(args.buy_stop[1]), +3381 limitPrice=float(args.buy_stop[2]) if len(args.buy_stop) >= 3 else 0., +3382 stopType=args.buy_stop[3] if len(args.buy_stop) >= 4 else "Limit", +3383 expDate=args.buy_stop[4] if len(args.buy_stop) == 5 else "Undefined", +3384 ) +3385 +3386 else: +3387 uLogger.error("You must specify 2-5 parameters for buy stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3388 +3389 elif args.sell_stop: +3390 if 2 <= len(args.sell_stop) <= 7: +3391 server.SellStop( +3392 lots=int(args.sell_stop[0]), +3393 targetPrice=float(args.sell_stop[1]), +3394 limitPrice=float(args.sell_stop[2]) if len(args.sell_stop) >= 3 else 0., +3395 stopType=args.sell_stop[3] if len(args.sell_stop) >= 4 else "Limit", +3396 expDate=args.sell_stop[4] if len(args.sell_stop) == 5 else "Undefined", +3397 ) +3398 +3399 else: +3400 uLogger.error("You must specify 2-5 parameters for sell stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: python TKSBrokerAPI.py --help") +3401 +3402 # elif args.buy_order_grid is not None: +3403 # # TODO: update order grid work with api v2 +3404 # if len(args.buy_order_grid) == 2: +3405 # orderParams = server.ParseOrderParameters(operation="Buy", **dict(kw.split('=') for kw in args.buy_order_grid)) +3406 # +3407 # for order in orderParams: +3408 # server.Order(operation="Buy", lots=order["lot"], price=order["price"]) +3409 # +3410 # else: +3411 # uLogger.error("To open grid of pending BUY limit-orders (below current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") +3412 # +3413 # elif args.sell_order_grid is not None: +3414 # # TODO: update order grid work with api v2 +3415 # if len(args.sell_order_grid) >= 2: +3416 # orderParams = server.ParseOrderParameters(operation="Sell", **dict(kw.split('=') for kw in args.sell_order_grid)) +3417 # +3418 # for order in orderParams: +3419 # server.Order(operation="Sell", lots=order["lot"], price=order["price"]) +3420 # +3421 # else: +3422 # uLogger.error("To open grid of pending SELL limit-orders (above current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") +3423 +3424 elif args.close_order is not None: +3425 server.CloseOrders(args.close_order) # close only one order +3426 +3427 elif args.close_orders is not None: +3428 server.CloseOrders(args.close_orders) # close list of orders +3429 +3430 elif args.close_trade: +3431 if not args.ticker: +3432 raise Exception("`--ticker` key is required for this operation!") +3433 +3434 server.CloseTrades([args.ticker]) # close only one trade +3435 +3436 elif args.close_trades is not None: +3437 server.CloseTrades(args.close_trades) # close trades for list of tickers +3438 +3439 elif args.close_all is not None: +3440 server.CloseAll(*args.close_all) +3441 +3442 else: +3443 uLogger.error("There is no command to execute! One of the possible commands must be selected. See: `python TKSBrokerAPI.py --help`") +3444 raise Exception("There is no command to execute!") +3445 +3446 except Exception: +3447 trace = tb.format_exc() +3448 for e in ["socket.gaierror", "nodename nor servname provided", "or not known", "NewConnectionError", "[Errno 8]", "Failed to establish a new connection"]: +3449 if e in trace: +3450 uLogger.error("Check your Internet connection! Failed to establish connection to broker server!") +3451 break +3452 +3453 uLogger.debug(trace) +3454 uLogger.debug("Please, checks troubleshooting or open a ticket for this issue at https://github.com/Tim55667757/TKSBrokerAPI/issues") +3455 exitCode = 255 # an error occurred, must be open a ticket for this issue +3456 +3457 finally: +3458 finish = datetime.now(tzutc()) +3459 +3460 if exitCode == 0: +3461 uLogger.debug("All operations with Tinkoff Server using Open API are finished success (summary code is 0).") +3462 +3463 else: +3464 uLogger.error("An issue occurred with TKSBrokerAPI module! See full debug log in [{}] or run TKSBrokerAPI once again with the key `--debug-level 10`. Summary code: {}".format( +3465 os.path.abspath(uLog.defaultLogFile), exitCode, +3466 )) +3467 +3468 uLogger.debug("TKSBrokerAPI module work duration: [{}]".format(finish - start)) +3469 uLogger.debug("TKSBrokerAPI module finished: [{}] UTC, it is [{}] local time".format( +3470 finish.strftime("%Y-%m-%d %H:%M:%S"), +3471 finish.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), +3472 )) +3473 +3474 if not kwargs: +3475 sys.exit(exitCode) +3476 +3477 else: +3478 return exitCode +3479 +3480 +3481if __name__ == "__main__": +3482 Main()
72def NanoToFloat(units: str, nano: int) -> float: -73 """ -74 Convert number in nano-view mode with string parameter `units` and integer parameter `nano` to float view. Examples: -75 -76 `NanoToFloat(units="2", nano=500000000) -> 2.5` -77 -78 `NanoToFloat(units="0", nano=50000000) -> 0.05` -79 -80 :param units: integer string or integer parameter that represents the integer part of number -81 :param nano: integer string or integer parameter that represents the fractional part of number -82 :return: float view of number -83 """ -84 return int(units) + int(nano) * NANO +@@ -3666,31 +3801,31 @@71def NanoToFloat(units: str, nano: int) -> float: +72 """ +73 Convert number in nano-view mode with string parameter `units` and integer parameter `nano` to float view. Examples: +74 +75 `NanoToFloat(units="2", nano=500000000) -> 2.5` +76 +77 `NanoToFloat(units="0", nano=50000000) -> 0.05` +78 +79 :param units: integer string or integer parameter that represents the integer part of number +80 :param nano: integer string or integer parameter that represents the fractional part of number +81 :return: float view of number +82 """ +83 return int(units) + int(nano) * NANOReturns
87def FloatToNano(number: float) -> dict: - 88 """ - 89 Convert float number to nano-type view: dictionary with string `units` and integer `nano` parameters `{"units": "string", "nano": integer}`. Examples: - 90 - 91 `FloatToNano(number=2.5) -> {"units": "2", "nano": 500000000}` - 92 - 93 `FloatToNano(number=0.05) -> {"units": "0", "nano": 50000000}` - 94 - 95 :param number: float number - 96 :return: nano-type view of number: `{"units": "string", "nano": integer}` - 97 """ - 98 splitByPoint = str(number).split(".") - 99 frac = 0 -100 -101 if len(splitByPoint) > 1: -102 if len(splitByPoint[1]) <= 9: -103 frac = int("{}{}".format( -104 int(splitByPoint[1]), -105 "0" * (9 - len(splitByPoint[1])), -106 )) -107 -108 if (number < 0) and (frac > 0): -109 frac = -frac -110 -111 return {"units": str(int(number)), "nano": frac} +@@ -3726,92 +3861,100 @@86def FloatToNano(number: float) -> dict: + 87 """ + 88 Convert float number to nano-type view: dictionary with string `units` and integer `nano` parameters `{"units": "string", "nano": integer}`. Examples: + 89 + 90 `FloatToNano(number=2.5) -> {"units": "2", "nano": 500000000}` + 91 + 92 `FloatToNano(number=0.05) -> {"units": "0", "nano": 50000000}` + 93 + 94 :param number: float number + 95 :return: nano-type view of number: `{"units": "string", "nano": integer}` + 96 """ + 97 splitByPoint = str(number).split(".") + 98 frac = 0 + 99 +100 if len(splitByPoint) > 1: +101 if len(splitByPoint[1]) <= 9: +102 frac = int("{}{}".format( +103 int(splitByPoint[1]), +104 "0" * (9 - len(splitByPoint[1])), +105 )) +106 +107 if (number < 0) and (frac > 0): +108 frac = -frac +109 +110 return {"units": str(int(number)), "nano": frac}Returns
114def GetDatesAsString(start: str = None, end: str = None) -> tuple: -115 """ -116 If `start=None`, `end=None` then return dates from yesterday to current time. -117 If `start=some_date_1`, `end=None` then return dates from `some_date_1` to current time. -118 If `start=some_date_1`, `end=some_date_2` then return dates from `some_date_1` to `some_date_2`. -119 Start day may be negative integer numbers: `-1`, `-2`, `-3` - how many days ago. -120 -121 Also, you can use keywords for start if `dateEnd=None`: -122 `today` (from 00:00:00 to current time), -123 `yesterday` (-1 day from 00:00:00 to 23:59:59), -124 `week` (-7 day from 00:00:00 to current date and time), -125 `month` (-30 day from 00:00:00 to current date and time), -126 `year` (-365 day from 00:00:00 to current date and time), -127 -128 User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). -129 -130 :return: tuple with 2 strings `(start, end)` dates in UTC ISO time format `%Y-%m-%dT%H:%M:%SZ` for OpenAPI. -131 Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")` -132 """ -133 uLogger.debug("Input start day is [{}] (UTC), end day is [{}] (UTC)".format(start, end)) -134 now = datetime.now(tzutc()) -135 -136 # showing statistics between start of the current day and current time: -137 if start is None or start.lower() == "today": -138 s = now.replace(hour=0, minute=0, second=0, microsecond=0) -139 e = now -140 -141 # from start of the last day to the end of the last day: -142 elif start.lower() == "yesterday": -143 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1) -144 e = now.replace(hour=23, minute=59, second=59, microsecond=0) - timedelta(days=1) -145 -146 # week (-7 day from 00:00:00 to current date and time): -147 elif start.lower() == "week": -148 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=7) -149 e = now -150 -151 # month (-30 day from 00:00:00 to current date and time): -152 elif start.lower() == "month": -153 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=30) -154 e = now -155 -156 # year (-365 day from 00:00:00 to current date and time): -157 elif start.lower() == "year": -158 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=365) -159 e = now -160 -161 # showing statistics from -N days ago to current date and time: -162 elif start.startswith('-') and start[1:].isdigit(): -163 s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=abs(int(start))) -164 e = now -165 -166 # showing statistics between start day at 00:00:00 and the end day at 23:59:59: -167 else: -168 s = datetime.strptime(start, "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()) -169 e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else now -170 -171 # converting to UTC ISO time formatted with Z suffix for Tinkoff Open API: -172 s = s.strftime("%Y-%m-%dT%H:%M:%SZ") -173 e = e.strftime("%Y-%m-%dT%H:%M:%SZ") -174 -175 uLogger.debug("Tinkoff Open API uses this start day (converted to UTC ISO format, with Z): [{}], and the end day: [{}]".format(s, e)) -176 -177 return s, e +-113def GetDatesAsString(start: str = None, end: str = None) -> tuple: +114 """ +115 Create tuple of date and time strings with timezone parsed from user-friendly date. +116 +117 User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). +118 +119 Example input: "2022-06-01" "2022-06-20" -> output: ("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z") +120 An error exception will occur if input date has incorrect format. +121 +122 If `start=None`, `end=None` then return dates from yesterday to the end of the day. +123 If `start=some_date_1`, `end=None` then return dates from `some_date_1` to the end of the day. +124 If `start=some_date_1`, `end=some_date_2` then return dates from start of `some_date_1` to end of `some_date_2`. +125 Start day may be negative integer numbers: `-1`, `-2`, `-3` - how many days ago. +126 +127 Also, you can use keywords for start if `end=None`: +128 `today` (from 00:00:00 to the end of current day), +129 `yesterday` (-1 day from 00:00:00 to 23:59:59), +130 `week` (-7 day from 00:00:00 to the end of current day), +131 `month` (-30 day from 00:00:00 to the end of current day), +132 `year` (-365 day from 00:00:00 to the end of current day), +133 +134 :return: tuple with 2 strings `(start, end)` dates in UTC ISO time format `%Y-%m-%dT%H:%M:%SZ` for OpenAPI. +135 See date and time format here: `TKSEnums.TKS_DATE_TIME_FORMAT`. +136 Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")`. Second string is the end of the last day. +137 """ +138 uLogger.debug("Input start day is [{}] (UTC), end day is [{}] (UTC)".format(start, end)) +139 s = datetime.now(tzutc()).replace(hour=0, minute=0, second=0, microsecond=0) # start of the current day +140 e = s.replace(hour=23, minute=59, second=59, microsecond=0) # end of the current day +141 +142 # time between start and the end of the current day: +143 if start is None or start.lower() == "today": +144 pass +145 +146 # from start of the last day to the end of the last day: +147 elif start.lower() == "yesterday": +148 s -= timedelta(days=1) +149 e -= timedelta(days=1) +150 +151 # week (-7 day from 00:00:00 to the end of the current day): +152 elif start.lower() == "week": +153 s -= timedelta(days=6) # +1 current day already taken into account +154 +155 # month (-30 day from 00:00:00 to the end of current day): +156 elif start.lower() == "month": +157 s -= timedelta(days=29) # +1 current day already taken into account +158 +159 # year (-365 day from 00:00:00 to the end of current day): +160 elif start.lower() == "year": +161 s -= timedelta(days=364) # +1 current day already taken into account +162 +163 # -N days ago to the end of current day: +164 elif start.startswith('-') and start[1:].isdigit(): +165 s -= timedelta(days=abs(int(start)) - 1) # +1 current day already taken into account +166 +167 # dates between start day at 00:00:00 and the end of the last day at 23:59:59: +168 else: +169 s = datetime.strptime(start, "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()) +170 e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else e +171 +172 # converting to UTC ISO time formatted with Z suffix for Tinkoff Open API: +173 s = s.strftime(TKS_DATE_TIME_FORMAT) +174 e = e.strftime(TKS_DATE_TIME_FORMAT) +175 +176 uLogger.debug("Start day converted to UTC ISO format, with Z: [{}], and the end day: [{}]".format(s, e)) +177 +178 return s, e-If
start=None,end=Nonethen return dates from yesterday to current time. -Ifstart=some_date_1,end=Nonethen return dates fromsome_date_1to current time. -Ifstart=some_date_1,end=some_date_2then return dates fromsome_date_1tosome_date_2. +@@ -3828,2830 +3971,2915 @@Create tuple of date and time strings with timezone parsed from user-friendly date.
+ +User dates format must be like:
+ +%Y-%m-%d, e.g.2020-02-03(3 Feb, 2020).Example input: "2022-06-01" "2022-06-20" -> output: ("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z") +An error exception will occur if input date has incorrect format.
+ +If
-start=None,end=Nonethen return dates from yesterday to the end of the day. +Ifstart=some_date_1,end=Nonethen return dates fromsome_date_1to the end of the day. +Ifstart=some_date_1,end=some_date_2then return dates from start ofsome_date_1to end ofsome_date_2. Start day may be negative integer numbers:-1,-2,-3- how many days ago.Also, you can use keywords for start if
dateEnd=None: -today(from 00:00:00 to current time), +Also, you can use keywords for start if
- -end=None: +today(from 00:00:00 to the end of current day),yesterday(-1 day from 00:00:00 to 23:59:59), -week(-7 day from 00:00:00 to current date and time), -month(-30 day from 00:00:00 to current date and time), -year(-365 day from 00:00:00 to current date and time),User dates format must be like:
+%Y-%m-%d, e.g.2020-02-03(3 Feb, 2020).week(-7 day from 00:00:00 to the end of current day), +month(-30 day from 00:00:00 to the end of current day), +year(-365 day from 00:00:00 to the end of current day),Returns
tuple with 2 strings
+ See date and time format here:(start, end)dates in UTC ISO time format%Y-%m-%dT%H:%M:%SZfor OpenAPI. - Example:("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")TKSEnums.TKS_DATE_TIME_FORMAT. + Example:("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z"). Second string is the end of the last day.Returns
-180class TinkoffBrokerServer: - 181 """ - 182 This class implements methods to work with Tinkoff broker server. - 183 - 184 Examples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/ - 185 - 186 About `token`: https://tinkoff.github.io/investAPI/token/ - 187 """ - 188 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: - 189 """ - 190 Main class init. - 191 - 192 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. - 193 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. - 194 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. - 195 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. - 196 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. - 197 For future use, you can save this variable and use as `iList` to avoid permanent downloads - 198 from the server. Also, you can try `DumpInstruments()` method. - 199 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. - 200 True by default. Cache is auto-update if new day has come. - 201 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. - 202 If you don't want to use cache and always updates raw data then set `useCache=False`. - 203 """ - 204 if token is None or not token: - 205 try: - 206 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) - 207 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") - 208 - 209 except KeyError: - 210 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") - 211 - 212 else: - 213 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' - 214 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") - 215 - 216 if accountId is None or not accountId: - 217 try: - 218 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) - 219 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") - 220 - 221 except KeyError: - 222 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") - 223 - 224 else: - 225 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' - 226 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") - 227 - 228 self.aliases = TKS_TICKER_ALIASES - 229 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" - 230 - 231 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init - 232 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there - 233 - 234 self.ticker = "" - 235 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" - 236 - 237 self.figi = "" - 238 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" - 239 - 240 self.depth = 1 - 241 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" - 242 - 243 self.server = r"https://invest-public-api.tinkoff.ru/rest" - 244 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest - 245 - 246 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 - 247 """ - 248 - 249 uLogger.debug("Broker API server: {}".format(self.server)) - 250 - 251 self.timeout = 15 - 252 """Server operations timeout in seconds. Default: 15""" - 253 - 254 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} - 255 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {token}"}`""" - 256 - 257 self.body = None - 258 """Request body which send to broker server. Default: `None`""" - 259 - 260 self.historyLength = 24 - 261 """How many candles returns if candles history request. For example, if `historyInterval="hour"` and `historyLength=24` it means: "give me last 24 hours". Must be >=1. Default: 24""" - 262 - 263 self.historyInterval = "hour" - 264 """Interval string for Tinkoff API (see: `TKSEnums.TKS_TIMEFRAMES`). Available values are `"1min"`, `"2min"`, `"3min"`, `"5min"`, `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`""" - 265 - 266 self.instrumentsFile = "instruments.md" - 267 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" - 268 - 269 self.searchResultsFile = "search-results.md" - 270 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" - 271 - 272 self.pricesFile = "prices.md" - 273 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" - 274 - 275 self.overviewFile = "overview.md" - 276 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" - 277 - 278 self.reportFile = "deals.md" - 279 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" - 280 - 281 self.historyFile = None - 282 """Full path to .csv output file where history candles will be saved. Default: `None`, mean that returns only pandas dataframe.""" - 283 - 284 self.iListDumpFile = "dump.json" - 285 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" - 286 - 287 self.iList = None # init iList - 288 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. - 289 - 290 See also: `Listing()` and `DumpInstruments()`. - 291 """ - 292 - 293 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: - 294 if iList is not None and isinstance(iList, dict): - 295 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") - 296 - 297 self.iList = iList # only used given iList, dump not updated - 298 - 299 elif useCache: - 300 if os.path.exists(self.iListDumpFile): - 301 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time - 302 curTime = datetime.now(tzutc()) - 303 - 304 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): - 305 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) - 306 - 307 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file - 308 - 309 else: - 310 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump - 311 - 312 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) - 313 uLogger.debug("Dump file was modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) - 314 - 315 else: - 316 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") - 317 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file - 318 - 319 else: - 320 self.iList = self.Listing() # request new raw instruments data from broker server - 321 self.DumpInstruments(forceUpdate=False) # save updated info to default dump file - 322 - 323 @staticmethod - 324 def _ParseJSON(rawData="{}", debug: bool = False) -> dict: - 325 """ - 326 Parse JSON from response string. - 327 - 328 :param rawData: this is a string with JSON-formatted text. - 329 :param debug: if `True` then print more debug information. - 330 :return: JSON (dictionary), parsed from server response string. - 331 """ - 332 if debug: - 333 uLogger.debug("Raw text body:") - 334 uLogger.debug(rawData) - 335 - 336 responseJSON = json.loads(rawData) if rawData else {} - 337 - 338 if debug: - 339 uLogger.debug("JSON formatted:") - 340 for jsonLine in json.dumps(responseJSON, indent=4).split('\n'): - 341 uLogger.debug(jsonLine) - 342 - 343 return responseJSON - 344 - 345 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: - 346 """ - 347 Send GET or POST request to broker server and receive JSON object. - 348 - 349 self.header: must be define with dictionary of headers. - 350 self.body: if define then used as request body. None by default. - 351 self.timeout: global request timeout, 15 seconds by default. - 352 :param url: url with REST request. - 353 :param reqType: send "GET" or "POST" request. "GET" by default. - 354 :param retry: how many times retry after first request if an error occurred. - 355 :param pause: sleep time in seconds between retries. - 356 :param debug: if `True` then print more debug information. - 357 :return: response JSON (dictionary) from broker. - 358 """ - 359 if reqType not in ("GET", "POST"): - 360 raise Exception("You can define request type: 'GET' or 'POST'!") - 361 - 362 if debug: - 363 uLogger.debug("Request parameters:") - 364 uLogger.debug(" - REST API URL: {}".format(url)) - 365 uLogger.debug(" - request type: {}".format(reqType)) - 366 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) - 367 uLogger.debug(" - body: {}".format(self.body)) - 368 - 369 # fast hack to avoid all operations with some tickers/FIGI - 370 responseJSON = {} - 371 oK = True - 372 for item in self.exclude: - 373 if item in url: - 374 if debug: - 375 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) - 376 - 377 oK = False - 378 break - 379 - 380 if oK: - 381 counter = 0 - 382 response = None - 383 errMsg = "" - 384 - 385 while not response and counter <= retry: - 386 if reqType == "GET": - 387 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) - 388 - 389 if reqType == "POST": - 390 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) - 391 - 392 if debug: - 393 uLogger.debug("Response:") - 394 uLogger.debug(" - status code: {}".format(response.status_code)) - 395 uLogger.debug(" - reason: {}".format(response.reason)) - 396 uLogger.debug(" - body length: {}".format(len(response.text))) - 397 - 398 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes - 399 if 400 <= response.status_code < 600: - 400 errMsg = "[{}] {}".format(response.status_code, response.text) - 401 uLogger.debug(" - not oK status code received: {}".format(errMsg)) - 402 counter += 1 - 403 - 404 if counter <= retry: - 405 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) - 406 sleep(pause) - 407 - 408 responseJSON = self._ParseJSON(response.text) - 409 - 410 if errMsg: - 411 uLogger.error("Not `oK` status received from broker server!") - 412 uLogger.error(" - message: {}".format(errMsg)) - 413 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") - 414 - 415 return responseJSON - 416 - 417 def _IUpdater(self, iType: str) -> tuple: - 418 """ - 419 Request instrument by type from server. See available API methods for instruments: - 420 Currencies: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Currencies - 421 Shares: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Shares - 422 Bonds: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Bonds - 423 Etfs: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Etfs - 424 Futures: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Futures - 425 - 426 :param iType: type of the instrument, it must be one of supported types in TKS_INSTRUMENTS list. - 427 :return: tuple with iType name and list of available instruments of current type for defined user token. - 428 """ - 429 result = [] - 430 - 431 if iType in TKS_INSTRUMENTS: - 432 uLogger.debug("Requesting available [{}] list. Wait, please...".format(iType)) - 433 - 434 # all instruments have the same body in API v2 requests: - 435 self.body = str({"instrumentStatus": "INSTRUMENT_STATUS_UNSPECIFIED"}) # Enum: [INSTRUMENT_STATUS_UNSPECIFIED, INSTRUMENT_STATUS_BASE, INSTRUMENT_STATUS_ALL] - 436 instrumentURL = self.server + r"/tinkoff.public.invest.api.contract.v1.InstrumentsService/{}".format(iType) - 437 result = self.SendAPIRequest(instrumentURL, reqType="POST", debug=False)["instruments"] - 438 - 439 return iType, result - 440 - 441 def _IWrapper(self, kwargs): - 442 """ - 443 Wrapper runs instrument's update method `_IUpdater()`. - 444 It's a workaround for using multiprocessing with kwargs. See: https://stackoverflow.com/a/36799206 - 445 """ - 446 return self._IUpdater(**kwargs) - 447 - 448 def Listing(self) -> dict: - 449 """ - 450 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. - 451 - 452 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. - 453 """ - 454 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") - 455 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) - 456 - 457 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService - 458 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. - 459 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] - 460 - 461 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode - 462 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations - 463 poolUpdater.close() - 464 - 465 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. - 466 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method - 467 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} - 468 - 469 # calculate minimum price increment (step) for all instruments and set up instrument's type: - 470 for iType in iList.keys(): - 471 for ticker in iList[iType]: - 472 iList[iType][ticker]["type"] = iType - 473 - 474 if "minPriceIncrement" in iList[iType][ticker].keys(): - 475 iList[iType][ticker]["step"] = NanoToFloat( - 476 iList[iType][ticker]["minPriceIncrement"]["units"], - 477 iList[iType][ticker]["minPriceIncrement"]["nano"], - 478 ) - 479 - 480 else: - 481 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures - 482 - 483 return iList - 484 - 485 def DumpInstruments(self, forceUpdate: bool = True) -> str: - 486 """ - 487 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server - 488 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. - 489 - 490 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. - 491 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. - 492 """ - 493 if self.iListDumpFile is None or not self.iListDumpFile: - 494 raise Exception("Output name of dump file must be defined!") - 495 - 496 if not self.iList or forceUpdate: - 497 self.iList = self.Listing() - 498 - 499 dump = json.dumps(self.iList, indent=4, sort_keys=False) - 500 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: - 501 fH.write(dump) - 502 - 503 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) - 504 - 505 return dump - 506 - 507 @staticmethod - 508 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: - 509 """ - 510 Show information about instrument defined by json and print in Markdown format. - 511 - 512 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` - 513 :param printInfo: if `True` then also printing information about instrument and its current price. - 514 :return: text in Markdown format with information about instrument. - 515 """ - 516 infoText = "" - 517 if iJSON is not None and iJSON and isinstance(iJSON, dict): - 518 info = [ - 519 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - 520 "| Parameters | Values\n", - 521 "|---------------------------------------------------------|---------------------------------------------------------\n", - 522 "| Ticker: | {}\n".format(iJSON["ticker"]), - 523 "| Full name: | {}\n".format(iJSON["name"]), - 524 ] - 525 - 526 if "sector" in iJSON.keys() and iJSON["sector"]: - 527 info.append("| Sector: | {}\n".format(iJSON["sector"])) - 528 - 529 info.append("| Country of instrument: | {}{}\n".format( - 530 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", - 531 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", - 532 )) - 533 - 534 info.extend([ - 535 "| |\n", - 536 "| FIGI (Financial Instrument Global Identifier): | {}\n".format(iJSON["figi"]), - 537 "| Exchange: | {}\n".format(iJSON["exchange"]), - 538 ]) - 539 - 540 if "isin" in iJSON.keys() and iJSON["isin"]: - 541 info.append("| ISIN (International Securities Identification Number): | {}\n".format(iJSON["isin"])) - 542 - 543 if "classCode" in iJSON.keys(): - 544 info.append("| Class Code: | {}\n".format(iJSON["classCode"])) - 545 - 546 info.extend([ - 547 "| |\n", - 548 "| Current broker security trading status: | {}\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), - 549 "| Buy operations allowed: | {}\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), - 550 "| Sale operations allowed: | {}\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), - 551 "| Short positions allowed: | {}\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), - 552 ]) - 553 - 554 info.append("| |\n") - 555 - 556 if "type" in iJSON.keys() and iJSON["type"]: - 557 info.append("| Type of the instrument: | {}\n".format(iJSON["type"])) - 558 - 559 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: - 560 info.append("| Futures type: | {}\n".format(iJSON["futuresType"])) - 561 - 562 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: - 563 info.append("| IPO date: | {}\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) - 564 - 565 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: - 566 info.append("| Released date: | {}\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) - 567 - 568 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: - 569 info.append("| Rebalancing frequency: | {}\n".format(iJSON["rebalancingFreq"])) - 570 - 571 if "focusType" in iJSON.keys() and iJSON["focusType"]: - 572 info.append("| Focusing type: | {}\n".format(iJSON["focusType"])) - 573 - 574 if "assetType" in iJSON.keys() and iJSON["assetType"]: - 575 info.append("| Asset type: | {}\n".format(iJSON["assetType"])) - 576 - 577 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: - 578 info.append("| Basic asset: | {}\n".format(iJSON["basicAsset"])) - 579 - 580 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: - 581 info.append("| Basic asset size: | {:.2f}\n".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"]))) - 582 - 583 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: - 584 info.append("| ISO currency name: | {}\n".format(iJSON["isoCurrencyName"])) - 585 - 586 if "currency" in iJSON.keys(): - 587 info.append("| Payment currency: | {}\n".format(iJSON["currency"])) - 588 - 589 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: - 590 info.append("| First trade date: | {}\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) - 591 - 592 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: - 593 info.append("| Last trade date: | {}\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) - 594 - 595 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: - 596 info.append("| Date of expiration: | {}\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) - 597 - 598 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: - 599 info.append("| State registration date: | {}\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) - 600 - 601 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: - 602 info.append("| Placement date: | {}\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) - 603 - 604 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: - 605 info.append("| Maturity date: | {}\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) - 606 - 607 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: - 608 info.append("| Perpetual bond: | Yes\n") - 609 - 610 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: - 611 info.append("| Over-the-counter (OTC) securities: | Yes\n") - 612 - 613 if iJSON["type"] == "Bonds": - 614 info.append("| Bond issue (size / plan): | {} / {}\n".format(iJSON["issueSize"], iJSON["issueSizePlan"])) - 615 - 616 info.append("| Nominal price (100%): | {:.2f} {}\n".format( - 617 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), - 618 iJSON["nominal"]["currency"], - 619 )) - 620 - 621 if "floatingCouponFlag" in iJSON.keys(): - 622 info.append("| Floating coupon: | {}\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) - 623 - 624 if "amortizationFlag" in iJSON.keys(): - 625 info.append("| Amortization: | {}\n".format("Yes" if iJSON["amortizationFlag"] else "No")) - 626 - 627 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: - 628 info.append("| Number of coupon payments per year: | {}\n".format(iJSON["couponQuantityPerYear"])) - 629 - 630 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: - 631 info.append("| Current ACI (Accrued Interest): | {:.2f} {}\n".format( - 632 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), - 633 iJSON["aciValue"]["currency"] - 634 )) - 635 - 636 if "currentPrice" in iJSON.keys(): - 637 info.append("| |\n") - 638 - 639 info.extend([ - 640 "| Previous close price of the instrument: | {}{}\n".format( - 641 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", - 642 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 643 ), - 644 "| Last deal price of the instrument: | {}{}\n".format( - 645 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", - 646 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 647 ), - 648 "| Changes between last deal price and last close % | {:.2f}%\n".format(iJSON["currentPrice"]["changes"]), - 649 "| Current limit price, min / max: | {}{} / {}{}\n".format( - 650 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", - 651 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 652 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", - 653 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 654 ), - 655 "| Actual price, sell / buy: | {}{} / {}{}\n".format( - 656 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", - 657 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 658 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", - 659 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - 660 ), - 661 ]) - 662 - 663 if "lot" in iJSON.keys(): - 664 info.append("| Minimum lot to buy: | {}\n".format(iJSON["lot"])) - 665 - 666 if "step" in iJSON.keys() and iJSON["step"] != 0: - 667 info.append("| Minimum price increment (step): | {}\n".format(iJSON["step"])) - 668 - 669 infoText += "".join(info) - 670 - 671 if printInfo: - 672 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) - 673 - 674 else: - 675 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) - 676 - 677 return infoText - 678 - 679 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: - 680 """ - 681 Search and return raw broker's information about instrument by it's ticker. - 682 `ticker` must be define! If debug=True then print all debug messages. - 683 - 684 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). - 685 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. - 686 :param debug: if `True` then print all debug console messages. - 687 :return: JSON formatted data with information about instrument. - 688 """ - 689 tickerJSON = {} - 690 if debug: - 691 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) - 692 - 693 if not self.ticker: - 694 uLogger.warning("self.ticker variable is not be empty!") - 695 - 696 else: - 697 if not self.iList: - 698 self.iList = self.Listing() - 699 - 700 if self.ticker in self.iList["Shares"].keys(): - 701 tickerJSON = self.iList["Shares"][self.ticker] - 702 if debug: - 703 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) - 704 - 705 elif self.ticker in self.iList["Currencies"].keys(): - 706 tickerJSON = self.iList["Currencies"][self.ticker] - 707 if debug: - 708 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) - 709 - 710 elif self.ticker in self.iList["Bonds"].keys(): - 711 tickerJSON = self.iList["Bonds"][self.ticker] - 712 if debug: - 713 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) - 714 - 715 elif self.ticker in self.iList["Etfs"].keys(): - 716 tickerJSON = self.iList["Etfs"][self.ticker] - 717 if debug: - 718 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) - 719 - 720 elif self.ticker in self.iList["Futures"].keys(): - 721 tickerJSON = self.iList["Futures"][self.ticker] - 722 if debug: - 723 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) - 724 - 725 if tickerJSON: - 726 self.figi = tickerJSON["figi"] - 727 - 728 if requestPrice: - 729 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) - 730 - 731 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: - 732 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] - 733 - 734 else: - 735 tickerJSON["currentPrice"]["changes"] = 0 - 736 - 737 if showInfo: - 738 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text - 739 - 740 else: - 741 if showInfo: - 742 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) - 743 - 744 return tickerJSON - 745 - 746 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: - 747 """ - 748 Search and return raw broker's information about instrument by it's FIGI. - 749 `figi` must be define! If debug=True then print all debug messages. - 750 - 751 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). - 752 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. - 753 :param debug: if `True` then print all debug console messages. - 754 :return: JSON formatted data with information about instrument. - 755 """ - 756 figiJSON = {} - 757 if debug: - 758 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) - 759 - 760 if not self.figi: - 761 uLogger.warning("self.figi variable is not be empty!") - 762 - 763 else: - 764 if not self.iList: - 765 self.iList = self.Listing() - 766 - 767 for item in self.iList["Shares"].keys(): - 768 if self.figi == self.iList["Shares"][item]["figi"]: - 769 figiJSON = self.iList["Shares"][item] - 770 - 771 if debug: - 772 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) - 773 - 774 break - 775 - 776 if not figiJSON: - 777 for item in self.iList["Currencies"].keys(): - 778 if self.figi == self.iList["Currencies"][item]["figi"]: - 779 figiJSON = self.iList["Currencies"][item] - 780 - 781 if debug: - 782 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) - 783 - 784 break - 785 - 786 if not figiJSON: - 787 for item in self.iList["Bonds"].keys(): - 788 if self.figi == self.iList["Bonds"][item]["figi"]: - 789 figiJSON = self.iList["Bonds"][item] - 790 - 791 if debug: - 792 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) - 793 - 794 break - 795 - 796 if not figiJSON: - 797 for item in self.iList["Etfs"].keys(): - 798 if self.figi == self.iList["Etfs"][item]["figi"]: - 799 figiJSON = self.iList["Etfs"][item] - 800 - 801 if debug: - 802 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) - 803 - 804 break - 805 - 806 if not figiJSON: - 807 for item in self.iList["Futures"].keys(): - 808 if self.figi == self.iList["Futures"][item]["figi"]: - 809 figiJSON = self.iList["Futures"][item] - 810 - 811 if debug: - 812 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) - 813 - 814 break - 815 - 816 if figiJSON: - 817 self.figi = figiJSON["figi"] - 818 self.ticker = figiJSON["ticker"] - 819 - 820 if requestPrice: - 821 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) - 822 - 823 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: - 824 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] - 825 - 826 else: - 827 figiJSON["currentPrice"]["changes"] = 0 - 828 - 829 if showInfo: - 830 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text - 831 - 832 else: - 833 if showInfo: - 834 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) - 835 - 836 return figiJSON - 837 - 838 def GetCurrentPrices(self, showPrice: bool = False) -> dict: - 839 """ - 840 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: - 841 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. - 842 - 843 :param showPrice: if `True` then print DOM. - 844 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. - 845 """ - 846 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} - 847 - 848 if self.depth < 1: - 849 raise Exception("Depth of Market (DOM) must be >=1!") - 850 - 851 if not (self.ticker or self.figi): - 852 raise Exception("self.ticker or self.figi variables must be defined!") - 853 - 854 if self.ticker and not self.figi: - 855 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! - 856 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" - 857 - 858 if not self.ticker and self.figi: - 859 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! - 860 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" - 861 - 862 if not self.figi: - 863 uLogger.error("FIGI is not determined!") - 864 - 865 else: - 866 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) - 867 - 868 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook - 869 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" - 870 self.body = str({"figi": self.figi, "depth": self.depth}) - 871 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") - 872 - 873 if pricesResponse: - 874 # list of dicts with sellers orders: - 875 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] - 876 - 877 # list of dicts with buyers orders: - 878 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] - 879 - 880 # max price of instrument at this time: - 881 prices["limitUp"] = NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]) if "limitUp" in pricesResponse.keys() else None - 882 - 883 # min price of instrument at this time: - 884 prices["limitDown"] = NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]) if "limitDown" in pricesResponse.keys() else None - 885 - 886 # last price of deal with instrument: - 887 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 - 888 - 889 # last close price of instrument: - 890 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 - 891 - 892 else: - 893 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) - 894 uLogger.debug("Server response: {}".format(pricesResponse)) - 895 - 896 if showPrice: - 897 if prices["buy"] or prices["sell"]: - 898 info = [ - 899 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( - 900 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), - 901 self.ticker, - 902 self.figi, - 903 self.depth, - 904 ), - 905 uLog.sepShort, "\n", - 906 " Orders of Buyers | Orders of Sellers\n", - 907 uLog.sepShort, "\n", - 908 " Sell prices (vol.) | Buy prices (vol.)\n", - 909 uLog.sepShort, "\n", - 910 ] - 911 - 912 if not prices["buy"]: - 913 info.append(" | No orders!\n") - 914 sumBuy = 0 - 915 - 916 else: - 917 sumBuy = sum([x["quantity"] for x in prices["buy"]]) - 918 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) - 919 for item in maxMinSorted: - 920 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) - 921 - 922 if not prices["sell"]: - 923 info.append("No orders! |\n") - 924 sumSell = 0 - 925 - 926 else: - 927 sumSell = sum([x["quantity"] for x in prices["sell"]]) - 928 for item in prices["sell"]: - 929 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) - 930 - 931 info.extend([ - 932 uLog.sepShort, "\n", - 933 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), - 934 uLog.sepShort, "\n", - 935 ]) - 936 - 937 infoText = "".join(info) - 938 - 939 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) - 940 - 941 else: - 942 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) - 943 - 944 return prices - 945 - 946 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: - 947 """ - 948 This method get and show information about all available broker instruments. - 949 If `instrumentsFile` string is not empty then also save information to this file. - 950 - 951 :param showInstruments: if `True` then print results to console, if `False` - print only to file. - 952 :return: multi-string with all available broker instruments - 953 """ - 954 if not self.iList: - 955 self.iList = self.Listing() - 956 - 957 info = [ - 958 "# All available instruments from Tinkoff Broker server for current user token\n\n", - 959 "* **Actual on date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - 960 ] - 961 - 962 # add instruments count by type: - 963 for iType in self.iList.keys(): - 964 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) - 965 - 966 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step\n" - 967 splitLine = "|--------------|----------------------------------------------------------------|--------------|-----|--------|---------\n" - 968 - 969 # generating info tables with all instruments by type: - 970 for iType in self.iList.keys(): - 971 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) - 972 - 973 for instrument in self.iList[iType].keys(): - 974 iName = self.iList[iType][instrument]["name"] # instrument's name - 975 if len(iName) > 63: - 976 iName = "{}...".format(iName[:60]) # right trim for a long string - 977 - 978 info.append("| {:<12} | {:<63}| {:<13}| {:<4}| {:<7}| {}\n".format( - 979 self.iList[iType][instrument]["ticker"], - 980 iName, - 981 self.iList[iType][instrument]["figi"], - 982 self.iList[iType][instrument]["currency"], - 983 self.iList[iType][instrument]["lot"], - 984 str(self.iList[iType][instrument]["step"]).rstrip("0"), - 985 )) - 986 - 987 infoText = "".join(info) - 988 - 989 if showInstruments: - 990 uLogger.info(infoText) - 991 - 992 if self.instrumentsFile: - 993 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: - 994 fH.write(infoText) - 995 - 996 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) - 997 - 998 return infoText - 999 -1000 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: -1001 """ -1002 This method search and show information about instruments by part of its ticker, FIGI or name. -1003 If `searchResultsFile` string is not empty then also save information to this file. -1004 -1005 :param pattern: string with part of ticker, FIGI or instrument's name. -1006 :param showResults: if `True` then print results to console, if `False` - return list of result only. -1007 :return: list of dictionaries with all found instruments. -1008 """ -1009 if not self.iList: -1010 self.iList = self.Listing() -1011 -1012 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments -1013 compiledPattern = re.compile(pattern, re.IGNORECASE) -1014 -1015 for iType in self.iList: -1016 for instrument in self.iList[iType].values(): -1017 searchResult = compiledPattern.search(" ".join( -1018 [instrument["ticker"], instrument["figi"], instrument["name"]] -1019 )) -1020 -1021 if searchResult: -1022 searchResults[iType][instrument["ticker"]] = instrument -1023 -1024 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) -1025 info = [ -1026 "# Search results\n\n", -1027 "* **Search pattern:** [{}]\n".format(pattern), -1028 "* **Found instruments:** [{}]\n\n".format(resultsLen), -1029 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" -1030 ] -1031 infoShort = info[:] -1032 -1033 headerLine = "| Type | Ticker | Full name | FIGI |\n" -1034 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" -1035 skippedLine = "| ... | ... | ... | ... |\n" -1036 -1037 if resultsLen == 0: -1038 info.append("\nNo results\n") -1039 infoShort.append("\nNo results\n") -1040 uLogger.warning("No results. Try changing your search pattern.") -1041 -1042 else: -1043 for iType in searchResults: -1044 iTypeValuesCount = len(searchResults[iType].values()) -1045 if iTypeValuesCount > 0: -1046 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1047 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1048 -1049 for instrument in searchResults[iType].values(): -1050 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( -1051 instrument["type"], -1052 instrument["ticker"], -1053 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string -1054 instrument["figi"], -1055 )) -1056 -1057 if iTypeValuesCount <= 5: -1058 infoShort.extend(info[-iTypeValuesCount:]) -1059 -1060 else: -1061 infoShort.extend(info[-5:]) -1062 infoShort.append(skippedLine) -1063 -1064 infoText = "".join(info) -1065 infoTextShort = "".join(infoShort) -1066 -1067 if showResults: -1068 uLogger.info(infoTextShort) -1069 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") -1070 -1071 if self.searchResultsFile: -1072 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: -1073 fH.write(infoText) -1074 -1075 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) -1076 -1077 return searchResults -1078 -1079 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: -1080 """ -1081 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! -1082 See limits: https://tinkoff.github.io/investAPI/limits/ -1083 If `pricesFile` string is not empty then also save information to this file. -1084 -1085 :param instruments: list of tickers or FIGIs. -1086 :param showPrices: if `True` then print to console, if `False` - print only to file. -1087 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` -1088 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. -1089 """ -1090 if instruments is None or not instruments: -1091 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") -1092 -1093 uLogger.debug("Requesting current prices of list of instruments from Tinkoff Broker server...") -1094 -1095 iList = [] -1096 for iName in instruments: -1097 if iName not in self.aliases.keys(): -1098 iList.append(iName) -1099 -1100 else: -1101 iList.append(self.aliases[iName]) -1102 -1103 unique = set() # create list with every figi only one time with the same order position: -1104 tempNames = [item for item in iList if not (item in unique or unique.add(item))] -1105 -1106 uLogger.debug("Ordered input list of instruments without duplicates of names: {}".format(tempNames)) -1107 -1108 iList = [] # try to get info about all unique instruments: -1109 for iName in tempNames: -1110 self.ticker = iName -1111 iData = self.SearchByTicker(requestPrice=True) -1112 -1113 if not iData: -1114 self.ticker = "" -1115 self.figi = iName -1116 -1117 iData = self.SearchByFIGI(requestPrice=True) -1118 -1119 if not iData: -1120 self.figi = "" -1121 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) -1122 -1123 if iData: -1124 isUnique = True -1125 for item in iList: -1126 if item["figi"] == iData["figi"] or item["ticker"] == iData["ticker"]: -1127 isUnique = False -1128 break -1129 -1130 if isUnique: -1131 iList.append(iData) -1132 -1133 if showPrices: -1134 info = [ -1135 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), -1136 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr.\n", -1137 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|------\n", -1138 ] -1139 -1140 for item in iList: -1141 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {}\n".format( -1142 item["ticker"], -1143 item["figi"], -1144 item["type"], -1145 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), -1146 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), -1147 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), -1148 "{} / {}".format( -1149 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", -1150 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", -1151 ), -1152 "{} / {}".format( -1153 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", -1154 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", -1155 ), -1156 item["currency"], -1157 )) -1158 -1159 infoText = "".join(info) -1160 -1161 if showPrices: -1162 uLogger.info("Only unique instruments are shown:\n{}".format(infoText)) -1163 -1164 if self.pricesFile: -1165 with open(self.pricesFile, "w", encoding="UTF-8") as fH: -1166 fH.write(infoText) -1167 -1168 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) -1169 -1170 return iList -1171 -1172 def RequestPortfolio(self) -> dict: -1173 """ -1174 Requesting current actual user's portfolio. -1175 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio -1176 -1177 :return: dictionary with user's portfolio. -1178 """ -1179 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") -1180 -1181 self.body = str({"accountId": self.accountId}) -1182 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" -1183 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") -1184 -1185 uLogger.debug("Records about user's portfolio successfully received") -1186 -1187 return rawPortfolio -1188 -1189 def RequestPositions(self) -> dict: -1190 """ -1191 Requesting current open positions in currencies and instruments. -1192 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions -1193 -1194 :return: dictionary with open positions by instruments. -1195 """ -1196 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") -1197 -1198 self.body = str({"accountId": self.accountId}) -1199 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" -1200 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") -1201 -1202 uLogger.debug("Records about current open positions successfully received") -1203 -1204 return rawPositions -1205 -1206 def RequestPendingOrders(self) -> list: -1207 """ -1208 Requesting current actual pending orders. -1209 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders -1210 -1211 :return: list of dictionaries with pending orders. -1212 """ -1213 uLogger.debug("Requesting current actual pending orders. Wait, please...") -1214 -1215 self.body = str({"accountId": self.accountId}) -1216 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" -1217 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] -1218 -1219 uLogger.debug("[{}] records about pending orders successfully received".format(len(rawOrders))) -1220 -1221 return rawOrders -1222 -1223 def RequestStopOrders(self) -> list: -1224 """ -1225 Requesting current actual stop orders. -1226 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders -1227 -1228 :return: list of dictionaries with stop orders. -1229 """ -1230 uLogger.debug("Requesting current actual stop orders. Wait, please...") -1231 -1232 self.body = str({"accountId": self.accountId}) -1233 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" -1234 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] -1235 -1236 uLogger.debug("[{}] records about stop orders successfully received".format(len(rawStopOrders))) -1237 -1238 return rawStopOrders -1239 -1240 def Overview(self, showStatistics: bool = False) -> dict: -1241 """ -1242 Get portfolio: all open positions, orders and some statistics for defined accountId. -1243 If `overviewFile` is define then also save information to file. -1244 -1245 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. -1246 :return: dictionary with client's raw portfolio and some statistics. -1247 """ -1248 view = { -1249 "raw": { # --- raw portfolio responses from broker with user portfolio data: -1250 "headers": {}, # list of dictionaries, response headers without "positions" section -1251 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section -1252 "Shares": [], # list of dictionaries, open trades with shares from "positions" section -1253 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section -1254 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section -1255 "Futures": [], # list of dictionaries, open trades with futures from "positions" section -1256 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client -1257 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders -1258 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders -1259 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB -1260 }, -1261 "stat": { # --- some statistics calculated using "raw" sections: -1262 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) -1263 "availableRUB": 0., # available rubles (without other currencies) -1264 "blockedRUB": 0., # blocked sum in Russian Rouble -1265 "totalChangesRUB": 0., # changes for all open trades in RUB -1266 "totalChangesPercentRUB": 0., # changes for all open trades in percents -1267 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB -1268 "sharesCostRUB": 0., # costs of all shares in RUB -1269 "bondsCostRUB": 0., # costs of all bonds in RUB -1270 "etfsCostRUB": 0., # costs of all etfs in RUB -1271 "futuresCostRUB": 0., # costs of all futures in RUB -1272 "Currencies": [], # list of dictionaries of all currencies statistics -1273 "Shares": [], # list of dictionaries of all shares statistics -1274 "Bonds": [], # list of dictionaries of all bonds statistics -1275 "Etfs": [], # list of dictionaries of all etfs statistics -1276 "Futures": [], # list of dictionaries of all futures statistics -1277 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters -1278 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters -1279 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} -1280 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} -1281 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1282 }, -1283 "analytics": { # --- some analytics of portfolio: -1284 "distrByAssets": {}, # portfolio distribution by assets -1285 "distrByCompanies": {}, # portfolio distribution by companies -1286 "distrBySectors": {}, # portfolio distribution by sectors -1287 "distrByCurrencies": {}, # portfolio distribution by currencies -1288 "distrByCountries": {}, # portfolio distribution by countries -1289 } -1290 } -1291 -1292 if showStatistics: -1293 uLogger.debug("Requesting portfolio of a client. Wait, please...") -1294 -1295 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) -1296 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) -1297 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) -1298 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) -1299 -1300 # save response headers without "positions" section: -1301 for key in portfolioResponse.keys(): -1302 if key != "positions": -1303 view["raw"]["headers"][key] = portfolioResponse[key] -1304 -1305 else: -1306 continue -1307 -1308 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation -1309 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS -1310 for item in portfolioResponse["positions"]: -1311 if item["instrumentType"] == "currency": -1312 self.figi = item["figi"] -1313 curr = self.SearchByFIGI(requestPrice=False) -1314 -1315 # current price of currency in RUB: -1316 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { -1317 "name": curr["name"], -1318 "currentPrice": NanoToFloat( -1319 item["currentPrice"]["units"], -1320 item["currentPrice"]["nano"] -1321 ), -1322 } -1323 -1324 view["raw"]["Currencies"].append(item) -1325 -1326 elif item["instrumentType"] == "share": -1327 view["raw"]["Shares"].append(item) -1328 -1329 elif item["instrumentType"] == "bond": -1330 view["raw"]["Bonds"].append(item) -1331 -1332 elif item["instrumentType"] == "etf": -1333 view["raw"]["Etfs"].append(item) -1334 -1335 elif item["instrumentType"] == "futures": -1336 view["raw"]["Futures"].append(item) -1337 -1338 else: -1339 continue -1340 -1341 # how many volume of currencies (by ISO currency name) are blocked: -1342 for item in view["raw"]["positions"]["blocked"]: -1343 blocked = NanoToFloat(item["units"], item["nano"]) -1344 if blocked > 0: -1345 view["stat"]["blockedCurrencies"][item["currency"]] = blocked -1346 -1347 # how many volume of instruments (by FIGI) are blocked: -1348 for item in view["raw"]["positions"]["securities"]: -1349 blocked = int(item["blocked"]) -1350 if blocked > 0: -1351 view["stat"]["blockedInstruments"][item["figi"]] = blocked -1352 -1353 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} -1354 -1355 if "rub" in allBlocked.keys(): -1356 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles -1357 -1358 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: -1359 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) -1360 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) -1361 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) -1362 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) -1363 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) -1364 view["stat"]["portfolioCostRUB"] = sum([ -1365 view["stat"]["allCurrenciesCostRUB"], -1366 view["stat"]["sharesCostRUB"], -1367 view["stat"]["bondsCostRUB"], -1368 view["stat"]["etfsCostRUB"], -1369 view["stat"]["futuresCostRUB"], -1370 ]) -1371 -1372 # --- calculating some portfolio statistics: -1373 byComp = {} # distribution by companies -1374 bySect = {} # distribution by sectors -1375 byCurr = {} # distribution by currencies (include RUB) -1376 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" -1377 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) -1378 -1379 for item in portfolioResponse["positions"]: -1380 self.figi = item["figi"] -1381 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI -1382 -1383 if instrument: -1384 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): -1385 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency -1386 -1387 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): -1388 blocked = allBlocked[item["figi"]] # blocked volume of other instruments -1389 -1390 else: -1391 blocked = 0 -1392 -1393 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument -1394 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument -1395 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long -1396 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price -1397 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price -1398 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment -1399 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. -1400 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset -1401 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) -1402 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName -1403 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles -1404 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost -1405 -1406 statData = { -1407 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method -1408 "ticker": instrument["ticker"], # ticker by FIGI -1409 "currency": currency, # currency name rub, usd, eur etc. for instrument price -1410 "volume": volume, # available volume of instrument -1411 "lots": lots, # volume in lots of instrument -1412 "direction": direction, # direction of an instrument's position: short or long -1413 "blocked": blocked, # blocked volume of currency or instrument -1414 "currentPrice": curPrice, # current instrument's price in basic asset -1415 "average": average, # current average position price -1416 "cost": cost, # current cost of all volume of instrument in basic asset -1417 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) -1418 "costRUB": costRUB, # cost of instrument in ruble -1419 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB -1420 "profit": profit, # expected profit at current moment -1421 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument -1422 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", -1423 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments -1424 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only -1425 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName -1426 "step": instrument["step"], # minimum price increment -1427 } -1428 -1429 # adding distribution by unique countries: -1430 if statData["country"] not in byCountry.keys(): -1431 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} -1432 -1433 else: -1434 byCountry[statData["country"]]["cost"] += costRUB -1435 byCountry[statData["country"]]["percent"] += percentCostRUB -1436 -1437 if item["instrumentType"] != "currency": -1438 # adding distribution by unique companies: -1439 if statData["name"]: -1440 if statData["name"] not in byComp.keys(): -1441 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} -1442 -1443 else: -1444 byComp[statData["name"]]["cost"] += costRUB -1445 byComp[statData["name"]]["percent"] += percentCostRUB -1446 -1447 # adding distribution by unique sectors: -1448 if statData["sector"] not in bySect.keys(): -1449 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} -1450 -1451 else: -1452 bySect[statData["sector"]]["cost"] += costRUB -1453 bySect[statData["sector"]]["percent"] += percentCostRUB -1454 -1455 # adding distribution by unique currencies: -1456 if currency not in byCurr.keys(): -1457 byCurr[currency] = { -1458 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], -1459 "cost": costRUB, -1460 "percent": percentCostRUB -1461 } -1462 -1463 else: -1464 byCurr[currency]["cost"] += costRUB -1465 byCurr[currency]["percent"] += percentCostRUB -1466 -1467 # saving statistics for every instrument: -1468 if item["instrumentType"] == "currency": -1469 view["stat"]["Currencies"].append(statData) -1470 -1471 # update dict with free funds for trading (total - blocked) by currencies -1472 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1473 view["stat"]["funds"][currency] = { -1474 "total": volume, -1475 "totalCostRUB": costRUB, # total volume cost in rubles -1476 "free": volume - blocked, -1477 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles -1478 } -1479 -1480 elif item["instrumentType"] == "share": -1481 view["stat"]["Shares"].append(statData) -1482 -1483 elif item["instrumentType"] == "bond": -1484 view["stat"]["Bonds"].append(statData) -1485 -1486 elif item["instrumentType"] == "etf": -1487 view["stat"]["Etfs"].append(statData) -1488 -1489 elif item["instrumentType"] == "Futures": -1490 view["stat"]["Futures"].append(statData) -1491 -1492 else: -1493 continue -1494 -1495 # total changes in Russian Ruble: -1496 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies -1497 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. -1498 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) -1499 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost -1500 view["stat"]["funds"]["rub"] = { -1501 "total": view["stat"]["availableRUB"], -1502 "totalCostRUB": view["stat"]["availableRUB"], -1503 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1504 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1505 } -1506 -1507 # --- pending orders sector data: -1508 for item in view["raw"]["orders"]: -1509 self.figi = item["figi"] -1510 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1511 -1512 if instrument: -1513 action = TKS_ORDER_DIRECTIONS[item["direction"]] -1514 orderType = TKS_ORDER_TYPES[item["orderType"]] -1515 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] -1516 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1517 -1518 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1519 if item["direction"] == "ORDER_DIRECTION_BUY": -1520 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1521 -1522 else: -1523 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1524 -1525 # requested price for order execution: -1526 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) -1527 -1528 # necessary changes in percent to reach target from current price: -1529 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1530 -1531 view["stat"]["orders"].append({ -1532 "orderID": item["orderId"], # orderId number parameter of current order -1533 "figi": item["figi"], # FIGI identification -1534 "ticker": instrument["ticker"], # ticker name by FIGI -1535 "lotsRequested": item["lotsRequested"], # requested lots value -1536 "lotsExecuted": item["lotsExecuted"], # how many lots are executed -1537 "currentPrice": lastPrice, # current instrument's price for defined action -1538 "targetPrice": target, # requested price for order execution in base currency -1539 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency -1540 "percentChanges": changes, # changes in percent to target from current price -1541 "currency": item["currency"], # instrument's currency name -1542 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS -1543 "type": orderType, # type of order from TKS_ORDER_TYPES -1544 "status": orderState, # order status from TKS_ORDER_STATES -1545 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) -1546 }) -1547 -1548 # --- stop orders sector data: -1549 for item in view["raw"]["stopOrders"]: -1550 self.figi = item["figi"] -1551 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1552 -1553 if instrument: -1554 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] -1555 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] -1556 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1557 -1558 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order -1559 if "expirationTime" in item.keys(): -1560 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] -1561 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] -1562 -1563 else: -1564 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] -1565 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] -1566 -1567 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1568 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": -1569 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1570 -1571 else: -1572 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1573 -1574 # requested price when stop-order executed: -1575 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) -1576 -1577 # price for limit-order, set up when stop-order executed: -1578 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) -1579 -1580 # necessary changes in percent to reach target from current price: -1581 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1582 -1583 view["stat"]["stopOrders"].append({ -1584 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order -1585 "figi": item["figi"], # FIGI identification -1586 "ticker": instrument["ticker"], # ticker name by FIGI -1587 "lotsRequested": item["lotsRequested"], # requested lots value -1588 "currentPrice": lastPrice, # current instrument's price for defined action -1589 "targetPrice": target, # requested price for stop-order execution in base currency -1590 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order -1591 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency -1592 "percentChanges": changes, # changes in percent to target from current price -1593 "currency": item["currency"], # instrument's currency name -1594 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS -1595 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES -1596 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES -1597 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) -1598 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) -1599 }) -1600 -1601 # --- calculating data for analytics section: -1602 # portfolio distribution by assets: -1603 view["analytics"]["distrByAssets"] = { -1604 "Ruble": { -1605 "uniques": 1, -1606 "cost": view["stat"]["availableRUB"], -1607 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1608 }, -1609 "Currencies": { -1610 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB -1611 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], -1612 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1613 }, -1614 "Shares": { -1615 "uniques": len(view["stat"]["Shares"]), -1616 "cost": view["stat"]["sharesCostRUB"], -1617 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1618 }, -1619 "Bonds": { -1620 "uniques": len(view["stat"]["Bonds"]), -1621 "cost": view["stat"]["bondsCostRUB"], -1622 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1623 }, -1624 "Etfs": { -1625 "uniques": len(view["stat"]["Etfs"]), -1626 "cost": view["stat"]["etfsCostRUB"], -1627 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1628 }, -1629 "Futures": { -1630 "uniques": len(view["stat"]["Futures"]), -1631 "cost": view["stat"]["futuresCostRUB"], -1632 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1633 }, -1634 } -1635 -1636 # portfolio distribution by companies: -1637 view["analytics"]["distrByCompanies"]["All money cash"] = { -1638 "ticker": "", -1639 "cost": view["stat"]["allCurrenciesCostRUB"], -1640 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1641 } -1642 view["analytics"]["distrByCompanies"].update(byComp) -1643 -1644 # portfolio distribution by sectors: -1645 view["analytics"]["distrBySectors"]["All money cash"] = { -1646 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], -1647 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], -1648 } -1649 view["analytics"]["distrBySectors"].update(bySect) -1650 -1651 # portfolio distribution by currencies: -1652 view["analytics"]["distrByCurrencies"].update(byCurr) -1653 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] -1654 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] -1655 -1656 # portfolio distribution by countries: -1657 view["analytics"]["distrByCountries"].update(byCountry) -1658 -1659 # --- Prepare text statistics overview in human-readable: -1660 if showStatistics: -1661 info = [ -1662 "# Client's portfolio\n\n", -1663 "* **Actual date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), -1664 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1665 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( -1666 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1667 view["stat"]["totalChangesRUB"], -1668 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1669 view["stat"]["totalChangesPercentRUB"], -1670 ), -1671 "## Open positions\n\n", -1672 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%)\n", -1673 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|----------------------\n", -1674 "| Ruble | {:>31} | | | | |\n".format( -1675 "{:.2f} ({:.2f}) rub".format( -1676 view["stat"]["availableRUB"], -1677 view["stat"]["blockedRUB"], -1678 ) -1679 ) -1680 ] -1681 -1682 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: -1683 return [ -1684 "| | | | | | |\n", -1685 "| {:<27} | | | | | {:>19} |\n".format( -1686 noTradeStr if noTradeStr else typeStr, -1687 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), -1688 ), -1689 ] -1690 -1691 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: -1692 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {}\n".format( -1693 "{} [{}]".format(data["ticker"], data["figi"]), -1694 "{:.2f} ({:.2f}) {}".format( -1695 data["volume"], -1696 data["blocked"], -1697 data["currency"], -1698 ) if showCurrencyName else "{:.0f} ({:.0f})".format( -1699 data["volume"], -1700 data["blocked"], -1701 ), -1702 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), -1703 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", -1704 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", -1705 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), -1706 "{}{:.2f} {} ({}{:.2f}%)".format( -1707 "+" if data["profit"] > 0 else "", -1708 data["profit"], data["baseCurrencyName"], -1709 "+" if data["percentProfit"] > 0 else "", -1710 data["percentProfit"], -1711 ), -1712 ) -1713 -1714 # --- Show currencies section: -1715 if view["stat"]["Currencies"]: -1716 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) -1717 for item in view["stat"]["Currencies"]: -1718 info.append(_InfoStr(item, showCurrencyName=True)) -1719 -1720 else: -1721 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) -1722 -1723 # --- Show shares section: -1724 if view["stat"]["Shares"]: -1725 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) -1726 -1727 for item in view["stat"]["Shares"]: -1728 info.append(_InfoStr(item)) -1729 -1730 else: -1731 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) -1732 -1733 # --- Show bonds section: -1734 if view["stat"]["Bonds"]: -1735 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) -1736 -1737 for item in view["stat"]["Bonds"]: -1738 info.append(_InfoStr(item)) -1739 -1740 else: -1741 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) -1742 -1743 # --- Show etfs section: -1744 if view["stat"]["Etfs"]: -1745 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) -1746 -1747 for item in view["stat"]["Etfs"]: -1748 info.append(_InfoStr(item)) -1749 -1750 else: -1751 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) -1752 -1753 # --- Show futures section: -1754 if view["stat"]["Futures"]: -1755 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) -1756 -1757 for item in view["stat"]["Futures"]: -1758 info.append(_InfoStr(item)) -1759 -1760 else: -1761 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) -1762 -1763 # --- Show pending orders section: -1764 if view["stat"]["orders"]: -1765 info.extend([ -1766 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), -1767 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC)\n", -1768 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|---------------------\n", -1769 ]) -1770 for item in view["stat"]["orders"]: -1771 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {}\n".format( -1772 "{} [{}]".format(item["ticker"], item["figi"]), -1773 item["orderID"], -1774 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), -1775 "{} {} ({}{:.2f}%)".format( -1776 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1777 item["baseCurrencyName"], -1778 "+" if item["percentChanges"] > 0 else "", -1779 float(item["percentChanges"]), -1780 ), -1781 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1782 item["action"], -1783 item["type"], -1784 item["date"], -1785 )) -1786 -1787 else: -1788 info.append("\n## Total pending limit-orders: 0\n") -1789 -1790 # --- Show stop orders section: -1791 if view["stat"]["stopOrders"]: -1792 info.extend([ -1793 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), -1794 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC)\n", -1795 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------\n", -1796 ]) -1797 for item in view["stat"]["stopOrders"]: -1798 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {}\n".format( -1799 "{} [{}]".format(item["ticker"], item["figi"]), -1800 item["orderID"], -1801 item["lotsRequested"], -1802 "{} {} ({}{:.2f}%)".format( -1803 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1804 item["baseCurrencyName"], -1805 "+" if item["percentChanges"] > 0 else "", -1806 float(item["percentChanges"]), -1807 ), -1808 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1809 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], -1810 item["action"], -1811 item["type"], -1812 item["expType"], -1813 item["createDate"], -1814 item["expDate"], -1815 )) -1816 -1817 else: -1818 info.append("\n## Total stop-orders: 0\n") -1819 -1820 # -- Show analytics section: -1821 if view["stat"]["portfolioCostRUB"] > 0: -1822 info.extend([ -1823 "\n# Analytics\n" -1824 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1825 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( -1826 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1827 view["stat"]["totalChangesRUB"], -1828 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1829 view["stat"]["totalChangesPercentRUB"], -1830 ), -1831 "\n## Portfolio distribution by assets\n" -1832 "\n| Type | Uniques | Percent | Current cost\n", -1833 "|------------|---------|---------|-----------------\n", -1834 ]) -1835 -1836 for key in view["analytics"]["distrByAssets"].keys(): -1837 if view["analytics"]["distrByAssets"][key]["cost"] > 0: -1838 info.append("| {:<10} | {:<7} | {:<7} | {:.2f} rub\n".format( -1839 key, -1840 view["analytics"]["distrByAssets"][key]["uniques"], -1841 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), -1842 view["analytics"]["distrByAssets"][key]["cost"], -1843 )) -1844 -1845 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) -1846 info.extend([ -1847 "\n## Portfolio distribution by companies\n" -1848 "\n| Company{} | Percent | Current cost\n".format(" " * (maxLenNames - 7)), -1849 "|--------{}-|---------|-----------------\n".format("-" * (maxLenNames - 7)), -1850 ]) -1851 -1852 for company in view["analytics"]["distrByCompanies"].keys(): -1853 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: -1854 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) -1855 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1856 "{}{}{}".format( -1857 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", -1858 company, -1859 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), -1860 ), -1861 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), -1862 view["analytics"]["distrByCompanies"][company]["cost"], -1863 )) -1864 -1865 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) -1866 info.extend([ -1867 "\n## Portfolio distribution by sectors\n" -1868 "\n| Sector{} | Percent | Current cost\n".format(" " * (maxLenSectors - 6)), -1869 "|-------{}-|---------|-----------------\n".format("-" * (maxLenSectors - 6)), -1870 ]) -1871 -1872 for sector in view["analytics"]["distrBySectors"].keys(): -1873 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: -1874 info.append("| {}{} | {:<7} | {:.2f} rub\n".format( -1875 sector, -1876 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), -1877 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), -1878 view["analytics"]["distrBySectors"][sector]["cost"], -1879 )) -1880 -1881 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) -1882 info.extend([ -1883 "\n## Portfolio distribution by currencies\n" -1884 "\n| Instruments currencies{} | Percent | Current cost\n".format(" " * (maxLenMoney - 22)), -1885 "|-----------------------{}-|---------|-----------------\n".format("-" * (maxLenMoney - 22)), -1886 ]) -1887 -1888 for curr in view["analytics"]["distrByCurrencies"].keys(): -1889 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: -1890 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) -1891 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1892 "[{}] {}{}".format( -1893 curr, -1894 view["analytics"]["distrByCurrencies"][curr]["name"], -1895 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), -1896 ), -1897 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), -1898 view["analytics"]["distrByCurrencies"][curr]["cost"], -1899 )) -1900 -1901 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) -1902 info.extend([ -1903 "\n## Portfolio distribution by countries\n" -1904 "\n| Assets by country{} | Percent | Current cost\n".format(" " * (maxLenCountry - 17)), -1905 "|------------------{}-|---------|-----------------\n".format("-" * (maxLenCountry - 17)), -1906 ]) -1907 -1908 for country in view["analytics"]["distrByCountries"].keys(): -1909 if view["analytics"]["distrByCountries"][country]["cost"] > 0: -1910 nameLen = len(country) -1911 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1912 "{}{}".format( -1913 country, -1914 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), -1915 ), -1916 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), -1917 view["analytics"]["distrByCountries"][country]["cost"], -1918 )) -1919 -1920 infoText = "".join(info) -1921 -1922 if showStatistics: -1923 uLogger.info("Statistics of client's portfolio:\n{}".format(infoText)) -1924 -1925 if self.overviewFile: -1926 with open(self.overviewFile, "w", encoding="UTF-8") as fH: -1927 fH.write(infoText) -1928 -1929 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(self.overviewFile))) -1930 -1931 return view -1932 -1933 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: -1934 """ -1935 Returns history operations between two given dates. -1936 If `reportFile` string is not empty then also save human-readable report. -1937 Shows some statistical data of closed positions. -1938 -1939 :param start: see docstring in `GetDatesAsString()` method -1940 :param end: see docstring in `GetDatesAsString()` method -1941 :param printDeals: if `True` then also print all records to the console. -1942 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. -1943 :return: original list of dictionaries with history of deals records from API ("operations" key): -1944 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1945 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. -1946 """ -1947 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") -1948 -1949 uLogger.debug("Requesting history of a client's operations. Wait, please...") -1950 -1951 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1952 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" -1953 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) -1954 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker -1955 customStat = {} # custom statistics in additional to responseJSON -1956 -1957 # --- output report in human-readable format: -1958 if printDeals or self.reportFile: -1959 splitLine1 = "| | | | |\n" # Summary section -1960 splitLine2 = "| | | | | | | |\n" # Operations section -1961 nextDay = "" -1962 -1963 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] -1964 -1965 if len(ops) > 0: -1966 customStat = { -1967 "opsCount": 0, # total operations count -1968 "buyCount": 0, # buy operations -1969 "sellCount": 0, # sell operations -1970 "buyTotal": {"rub": 0.}, # Buy sums in different currencies -1971 "sellTotal": {"rub": 0.}, # Sell sums in different currencies -1972 "payIn": {"rub": 0.}, # Deposit brokerage account -1973 "payOut": {"rub": 0.}, # Withdrawals -1974 "divs": {"rub": 0.}, # Dividends income -1975 "coupons": {"rub": 0.}, # Coupon's income -1976 "brokerCom": {"rub": 0.}, # Service commissions -1977 "serviceCom": {"rub": 0.}, # Service commissions -1978 "marginCom": {"rub": 0.}, # Margin commissions -1979 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections -1980 } -1981 -1982 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: -1983 for item in ops: -1984 if item["state"] == "OPERATION_STATE_EXECUTED": -1985 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -1986 -1987 # count buy operations: -1988 if "_BUY" in item["operationType"]: -1989 customStat["buyCount"] += 1 -1990 -1991 if item["payment"]["currency"] in customStat["buyTotal"].keys(): -1992 customStat["buyTotal"][item["payment"]["currency"]] += payment -1993 -1994 else: -1995 customStat["buyTotal"][item["payment"]["currency"]] = payment -1996 -1997 # count sell operations: -1998 elif "_SELL" in item["operationType"]: -1999 customStat["sellCount"] += 1 -2000 -2001 if item["payment"]["currency"] in customStat["sellTotal"].keys(): -2002 customStat["sellTotal"][item["payment"]["currency"]] += payment -2003 -2004 else: -2005 customStat["sellTotal"][item["payment"]["currency"]] = payment -2006 -2007 # count incoming operations: -2008 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: -2009 if item["payment"]["currency"] in customStat["payIn"].keys(): -2010 customStat["payIn"][item["payment"]["currency"]] += payment -2011 -2012 else: -2013 customStat["payIn"][item["payment"]["currency"]] = payment -2014 -2015 # count withdrawals operations: -2016 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: -2017 if item["payment"]["currency"] in customStat["payOut"].keys(): -2018 customStat["payOut"][item["payment"]["currency"]] += payment -2019 -2020 else: -2021 customStat["payOut"][item["payment"]["currency"]] = payment -2022 -2023 # count dividends income: -2024 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: -2025 if item["payment"]["currency"] in customStat["divs"].keys(): -2026 customStat["divs"][item["payment"]["currency"]] += payment -2027 -2028 else: -2029 customStat["divs"][item["payment"]["currency"]] = payment -2030 -2031 # count coupon's income: -2032 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: -2033 if item["payment"]["currency"] in customStat["coupons"].keys(): -2034 customStat["coupons"][item["payment"]["currency"]] += payment -2035 -2036 else: -2037 customStat["coupons"][item["payment"]["currency"]] = payment -2038 -2039 # count broker commissions: -2040 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: -2041 if item["payment"]["currency"] in customStat["brokerCom"].keys(): -2042 customStat["brokerCom"][item["payment"]["currency"]] += payment -2043 -2044 else: -2045 customStat["brokerCom"][item["payment"]["currency"]] = payment -2046 -2047 # count service commissions: -2048 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: -2049 if item["payment"]["currency"] in customStat["serviceCom"].keys(): -2050 customStat["serviceCom"][item["payment"]["currency"]] += payment -2051 -2052 else: -2053 customStat["serviceCom"][item["payment"]["currency"]] = payment -2054 -2055 # count margin commissions: -2056 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: -2057 if item["payment"]["currency"] in customStat["marginCom"].keys(): -2058 customStat["marginCom"][item["payment"]["currency"]] += payment -2059 -2060 else: -2061 customStat["marginCom"][item["payment"]["currency"]] = payment -2062 -2063 # count withholding taxes: -2064 elif "_TAX" in item["operationType"]: -2065 if item["payment"]["currency"] in customStat["allTaxes"].keys(): -2066 customStat["allTaxes"][item["payment"]["currency"]] += payment -2067 -2068 else: -2069 customStat["allTaxes"][item["payment"]["currency"]] = payment -2070 -2071 else: -2072 continue -2073 -2074 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] -2075 -2076 # --- view "Actions" lines: -2077 info.extend([ -2078 "| 1 | 2 | 3 | 4 | 5\n", -2079 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------\n", -2080 "| **Actions:** | Trades: {:<21} | Trading volumes: | |\n".format(customStat["opsCount"]), -2081 "| | Buy: {:<22} | {:<28} | |\n".format( -2082 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2083 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", -2084 ), -2085 "| | Sell: {:<21} | {:<28} | |\n".format( -2086 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2087 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", -2088 ), -2089 ]) -2090 -2091 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) -2092 for key in opsKeys: -2093 if key == "rub": -2094 continue -2095 -2096 info.extend([ -2097 "| | | {:<28} | |\n".format( -2098 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) -2099 ), -2100 "| | | {:<28} | |\n".format( -2101 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) -2102 ), -2103 ]) -2104 -2105 info.append(splitLine1) -2106 -2107 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: -2108 return "| | {:<29} | {:<28} | {:<20} | {:<22}\n".format( -2109 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", -2110 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", -2111 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", -2112 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", -2113 ) -2114 -2115 # --- view "Payments" lines: -2116 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income:\n") -2117 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) -2118 -2119 for key in paymentsKeys: -2120 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) -2121 -2122 info.append(splitLine1) -2123 -2124 # --- view "Commissions and taxes" lines: -2125 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections:\n") -2126 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) -2127 -2128 for key in comKeys: -2129 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) -2130 -2131 info.append(splitLine1) -2132 -2133 info.extend([ -2134 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), -2135 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type\n", -2136 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------\n", -2137 ]) -2138 -2139 else: -2140 info.append("Broker returned no operations during this period\n") -2141 -2142 # --- view "Operations" section: -2143 for item in ops: -2144 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: -2145 continue -2146 -2147 else: -2148 self.figi = item["figi"] if item["figi"] else "" -2149 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -2150 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} -2151 -2152 # group of deals during one day: -2153 if nextDay and item["date"].split("T")[0] != nextDay: -2154 info.append(splitLine2) -2155 nextDay = "" -2156 -2157 else: -2158 nextDay = item["date"].split("T")[0] # saving current day for splitting -2159 -2160 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {}\n".format( -2161 item["date"].replace("T", " ").replace("Z", "").split(".")[0], -2162 self.figi if self.figi else "—", -2163 instrument["ticker"] if instrument else "—", -2164 instrument["type"] if instrument else "—", -2165 item["quantity"] if int(item["quantity"]) > 0 else "—", -2166 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", -2167 TKS_OPERATION_STATES[item["state"]], -2168 TKS_OPERATION_TYPES[item["operationType"]], -2169 )) -2170 -2171 infoText = "".join(info) -2172 -2173 if printDeals: -2174 uLogger.info(infoText) -2175 -2176 if self.reportFile: -2177 with open(self.reportFile, "w", encoding="UTF-8") as fH: -2178 fH.write(infoText) -2179 -2180 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) -2181 -2182 return ops, customStat -2183 -2184 def History(self, onlyMissing: bool = False): -2185 """ -2186 This method returns last history candles of the current instrument defined by `ticker`. -2187 If `historyFile` is not None then method save history to this file, otherwise return only pandas dataframe. -2188 `historyLength` define how many candles returns from past to current date. -2189 `historyInterval` define candle interval. Available values are strings: `"1min"`, `"2min"`, `"3min"`, `"5min"`, -2190 `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`. -2191 Maximum requested history date in the past: `1970.01.02 03:45` -2192 -2193 :param onlyMissing: if history file define then add only last missing candles, do not request all history length. False by default. -2194 WARNING! History appends only from last candle to current time with replace last candle! Intervals must be similar! -2195 :return: pandas dataframe with prices history. Columns: `date`, `time`, `open`, `high`, `low`, `close`, `volume`. -2196 """ -2197 history = None # empty pandas object for history -2198 # TODO: update history to work with api v2 -2199 # if self.historyLength < 1: -2200 # raise Exception("History length parameter must be >=1!") -2201 # -2202 # if self.historyInterval not in TKS_TIMEFRAMES.keys(): -2203 # raise Exception("Interval parameter must be string with available values: 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month.") -2204 # -2205 # if not (self.ticker or self.figi): -2206 # raise Exception("self.ticker or self.figi variables must be defined!") -2207 # -2208 # if self.ticker and not self.figi: -2209 # instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) -2210 # self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" -2211 # -2212 # endDate = datetime.now(tzutc()) # current time for request history -2213 # tempOld = None # pandas object for old history, if --only-missing key present -2214 # lastTime = None # datetime object of last old candle in file -2215 # minStartDate = datetime.strptime("1970.01.02 03:45", "%Y.%m.%d %H:%M").astimezone(tzutc()) # Maximum requested history date in the past -2216 # -2217 # # get old history saved earlier in file: -2218 # if onlyMissing and self.historyFile and os.path.exists(self.historyFile): -2219 # uLogger.debug("--only-missing key present, so auto decreasing --length value...") -2220 # uLogger.debug("Only append missing last history candles at the end of the file [{}]".format(os.path.abspath(self.historyFile))) -2221 # -2222 # tempOld = pd.read_csv(self.historyFile, sep=",", header=None, names=["date", "time", "open", "high", "low", "close", "volume"]) -2223 # -2224 # tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" -2225 # tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string -2226 # tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" -2227 # tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string -2228 # -2229 # # get last datetime object from last string in file or minus 1 delta if file is empty: -2230 # if len(tempOld) > 0: -2231 # lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2232 # -2233 # else: -2234 # lastTime = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"]) -2235 # uLogger.warning("No history in file, set last date to request at [{}]".format(lastTime)) -2236 # -2237 # delta = endDate - lastTime # current time minus last time in file -2238 # deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between last datetime and current datetime -2239 # -2240 # # calculate new (decreased) history length to download: -2241 # self.historyLength = deltaMinutes // TKS_TIMEFRAMES[self.historyInterval]["minutes"] -2242 # if deltaMinutes % TKS_TIMEFRAMES[self.historyInterval]["minutes"] > 0: -2243 # self.historyLength += 1 # to avoid fraction time -2244 # -2245 # tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time -2246 # -2247 # if self.figi: -2248 # blocks = 1 if self.historyLength <= TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] else 1 + self.historyLength // TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2249 # responseJSONs = [] # raw history blocks -2250 # -2251 # uLogger.debug("Request last history from Tinkoff Broker server for ticker [{}], FIGI [{}]...".format(self.ticker, self.figi)) -2252 # -2253 # uLogger.debug("Requested history length: [{}], interval: [{}]".format(self.historyLength, self.historyInterval)) -2254 # uLogger.debug("User requested time period is about from [{}] to [{}]".format( -2255 # (endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * self.historyLength)).strftime("%Y-%m-%d %H:%M:%S"), -2256 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2257 # )) -2258 # -2259 # uLogger.debug("Blocks count: [{}], max candles in block for this interval: [{}]".format(blocks, TKS_TIMEFRAMES[self.historyInterval]["maxCandles"])) -2260 # -2261 # oldFlag = False -2262 # for item in range(blocks): -2263 # tail = self.historyLength % TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] if item + 1 == blocks else TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2264 # startDate = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * tail) -2265 # -2266 # if startDate < minStartDate: -2267 # startDate = minStartDate # set minimum date in the past if delta is too long -2268 # uLogger.debug("Date in the past is too old for request. Set start time to [{}]".format(minStartDate.strftime("%Y-%m-%d %H:%M:%S"))) -2269 # oldFlag = True -2270 # -2271 # uLogger.debug("Block time period: from [{}] to [{}] ({}/{})".format( -2272 # startDate.strftime("%Y-%m-%d %H:%M:%S"), -2273 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2274 # item + 1, -2275 # blocks, -2276 # )) -2277 # -2278 # historyURL = self.server + r"/market/candles?figi={}&from={}&to={}&interval={}".format( -2279 # self.figi, -2280 # quote(startDate.isoformat()), -2281 # quote(endDate.isoformat()), -2282 # self.historyInterval, -2283 # ) -2284 # responseJSON = self.SendAPIRequest(historyURL, debug=False)["payload"]["candles"] -2285 # -2286 # responseJSONs = responseJSON + responseJSONs # add more old history behind newest dates -2287 # endDate = startDate -2288 # -2289 # if oldFlag: break -2290 # -2291 # if responseJSONs: -2292 # tempHistory = pd.DataFrame( -2293 # data={ -2294 # "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2295 # "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2296 # "open": [item["o"] for item in responseJSONs], -2297 # "high": [item["h"] for item in responseJSONs], -2298 # "low": [item["l"] for item in responseJSONs], -2299 # "close": [item["c"] for item in responseJSONs], -2300 # "volume": [item["v"] for item in responseJSONs], -2301 # }, -2302 # index=range(len(responseJSONs)), -2303 # columns=["date", "time", "open", "high", "low", "close", "volume"], -2304 # ) -2305 # tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") -2306 # tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") -2307 # -2308 # # append only newest candles to old history if --only-missing key present: -2309 # if onlyMissing and tempOld is not None and lastTime is not None: -2310 # indx = 0 # find start index in given from server tempHistory data: -2311 # for i, item in tempHistory.iterrows(): -2312 # curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2313 # if curTime == lastTime: -2314 # uLogger.debug("History candles will be updated starting from the candle with date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) -2315 # indx = i -2316 # break -2317 # -2318 # history = tempOld.append(tempHistory[indx:], ignore_index=True) -2319 # -2320 # else: -2321 # history = tempHistory # if no --only-missing key then load full data from server -2322 # -2323 # uLogger.debug("Showing last 3 rows of candles history:") -2324 # for line in pd.DataFrame.to_string( -2325 # history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], -2326 # max_cols=20, -2327 # ).split("\n"): -2328 # uLogger.debug(line) -2329 # -2330 # if self.historyFile is not None: -2331 # if history is not None: -2332 # history.to_csv(self.historyFile, sep=",", index=False, header=False) -2333 # uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format( -2334 # self.ticker, -2335 # self.figi, -2336 # self.historyInterval, -2337 # os.path.abspath(self.historyFile), -2338 # )) -2339 # -2340 # else: -2341 # uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) -2342 # -2343 # else: -2344 # uLogger.debug("--output key is not defined. Parsed history file not saved to .csv-file, only pandas dataframe returns.") -2345 -2346 return history -2347 -2348 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2349 """ -2350 Universal method to create market order and make deal at the current price. Returns JSON data with response. -2351 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2352 -2353 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. -2354 -2355 :param operation: string "Buy" or "Sell". -2356 :param lots: volume, integer count of lots >= 1. -2357 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. -2358 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. -2359 :param expDate: string "Undefined" by default or local date in future, -2360 it is a string with format `%Y-%m-%d %H:%M:%S`. -2361 :return: JSON with response from broker server. -2362 """ -2363 if operation is None or not operation or operation not in ("Buy", "Sell"): -2364 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2365 -2366 if lots is None or lots < 1: -2367 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") -2368 lots = 1 -2369 -2370 if tp is None or tp < 0: -2371 tp = 0 -2372 -2373 if sl is None or sl < 0: -2374 sl = 0 -2375 -2376 if expDate is None or not expDate: -2377 expDate = "Undefined" -2378 -2379 if not (self.ticker or self.figi): -2380 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2381 -2382 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2383 self.ticker = instrument["ticker"] -2384 self.figi = instrument["figi"] -2385 -2386 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) -2387 -2388 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2389 self.body = str({ -2390 "figi": self.figi, -2391 "quantity": str(lots), -2392 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2393 "accountId": str(self.accountId), -2394 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES -2395 }) -2396 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) -2397 -2398 if "orderId" in response.keys(): -2399 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( -2400 operation, response["orderId"], -2401 self.ticker, self.figi, lots, -2402 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], -2403 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], -2404 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], -2405 )) -2406 -2407 else: -2408 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") -2409 -2410 if tp > 0: -2411 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) -2412 -2413 if sl > 0: -2414 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) -2415 -2416 return response -2417 -2418 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2419 """ -2420 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. -2421 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2422 -2423 See also: `Order()` and `Trade()` docstrings. -2424 -2425 :param lots: volume, integer count of lots >= 1. -2426 :param tp: float > 0, take profit price of stop-order. -2427 :param sl: float > 0, stop loss price of stop-order. -2428 :param expDate: it's a local date in future. -2429 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2430 :return: JSON with response from broker server. -2431 """ -2432 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate) -2433 -2434 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2435 """ -2436 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. -2437 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2438 -2439 See also: `Order()` and `Trade()` docstrings. -2440 -2441 :param lots: volume, integer count of lots >= 1. -2442 :param tp: float > 0, take profit price of stop-order. -2443 :param sl: float > 0, stop loss price of stop-order. -2444 :param expDate: it's a local date in future. -2445 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2446 :return: JSON with response from broker server. -2447 """ -2448 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate) -2449 -2450 def CloseTrades(self, tickers: list, overview: dict = None) -> None: -2451 """ -2452 Close position of given instruments. -2453 -2454 :param tickers: tickers list of instruments that must be closed. -2455 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2456 This avoids unnecessary downloading data from the server. -2457 """ -2458 if not tickers: -2459 uLogger.info("Tickers list is empty, nothing to close.") -2460 -2461 else: -2462 if overview is None or not overview: -2463 overview = self.Overview(showStatistics=False) -2464 -2465 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] -2466 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) -2467 -2468 for ticker in tickers: -2469 if ticker not in allOpenedTickers: -2470 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) -2471 continue -2472 -2473 # search open trade info about instrument by ticker: -2474 instrument = {} -2475 for iType in TKS_INSTRUMENTS: -2476 if instrument: -2477 break -2478 -2479 for item in overview["stat"][iType]: -2480 if item["ticker"] == ticker: -2481 instrument = item -2482 break -2483 -2484 if instrument: -2485 self.ticker = ticker -2486 self.figi = instrument["figi"] -2487 -2488 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( -2489 self.ticker, -2490 self.figi, -2491 int(instrument["volume"]), -2492 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", -2493 )) -2494 -2495 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation -2496 -2497 if tradeLots > 0: -2498 if instrument["blocked"] > 0: -2499 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( -2500 instrument["blocked"], -2501 self.ticker, -2502 tradeLots, -2503 )) -2504 -2505 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: -2506 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) -2507 -2508 else: -2509 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker)) -2510 -2511 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: -2512 """ -2513 Close all positions of given instruments with defined type. -2514 -2515 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. -2516 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2517 This avoids unnecessary downloading data from the server. -2518 """ -2519 if iType not in TKS_INSTRUMENTS: -2520 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) -2521 -2522 else: -2523 if overview is None or not overview: -2524 overview = self.Overview(showStatistics=False) -2525 -2526 tickers = [item["ticker"] for item in overview["stat"][iType]] -2527 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) -2528 -2529 if tickers and overview: -2530 self.CloseTrades(tickers, overview) -2531 -2532 else: -2533 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType)) -2534 -2535 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2536 """ -2537 Universal method to create market or limit orders with all available parameters. -2538 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. -2539 -2540 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above -2541 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. -2542 -2543 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" -2544 then broker immediately open market order as you can do simple --buy or --sell operations! -2545 -2546 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". -2547 When current price will go up or down to target price value then broker opens a limit order. -2548 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. -2549 -2550 Only one attempt and no retry for opens order. If network issue occurred you can create new request. -2551 -2552 :param operation: string "Buy" or "Sell". -2553 :param orderType: string "Limit" or "Stop". -2554 :param lots: volume, integer count of lots >= 1. -2555 :param targetPrice: target price > 0. This is open trade price for limit order. -2556 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. -2557 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. -2558 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types -2559 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2560 Stop loss order always executed by market price. -2561 :param expDate: string "Undefined" by default or local date in future. -2562 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2563 This date is converting to UTC format for server. This parameter only makes sense for stop-order. -2564 A limit order has no expiration date, it lasts until the end of the trading day. -2565 :return: JSON with response from broker server. -2566 """ -2567 if operation is None or not operation or operation not in ("Buy", "Sell"): -2568 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2569 -2570 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): -2571 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") -2572 -2573 if lots is None or lots < 1: -2574 raise Exception("You must define trade volume > 0: integer count of lots!") -2575 -2576 if targetPrice is None or targetPrice <= 0: -2577 raise Exception("Target price for limit-order must be greater than 0!") -2578 -2579 if limitPrice is None or limitPrice <= 0: -2580 limitPrice = targetPrice -2581 -2582 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): -2583 stopType = "Limit" -2584 -2585 if expDate is None or not expDate: -2586 expDate = "Undefined" -2587 -2588 if not (self.ticker or self.figi): -2589 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2590 -2591 response = {} -2592 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2593 self.ticker = instrument["ticker"] -2594 self.figi = instrument["figi"] -2595 -2596 if orderType == "Limit": -2597 uLogger.debug( -2598 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( -2599 self.ticker, self.figi, -2600 operation, lots, targetPrice, instrument["currency"], -2601 )) -2602 -2603 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2604 self.body = str({ -2605 "figi": self.figi, -2606 "quantity": str(lots), -2607 "price": FloatToNano(targetPrice), -2608 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2609 "accountId": str(self.accountId), -2610 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES -2611 }) -2612 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2613 -2614 if "orderId" in response.keys(): -2615 uLogger.info( -2616 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( -2617 response["orderId"], -2618 self.ticker, self.figi, -2619 operation, lots, targetPrice, instrument["currency"], -2620 )) -2621 -2622 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2623 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: -2624 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( -2625 targetPrice, instrument["currency"], -2626 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2627 )) -2628 -2629 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: -2630 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( -2631 targetPrice, instrument["currency"], -2632 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2633 )) -2634 -2635 else: -2636 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") -2637 -2638 if orderType == "Stop": -2639 uLogger.debug( -2640 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( -2641 self.ticker, self.figi, -2642 operation, lots, -2643 targetPrice, instrument["currency"], -2644 limitPrice, instrument["currency"], -2645 stopType, expDate, -2646 )) -2647 -2648 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" -2649 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") -2650 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" -2651 -2652 body = { -2653 "figi": self.figi, -2654 "quantity": str(lots), -2655 "price": FloatToNano(limitPrice), -2656 "stopPrice": FloatToNano(targetPrice), -2657 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS -2658 "accountId": str(self.accountId), -2659 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES -2660 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES -2661 } -2662 -2663 if expDateUTC: -2664 body["expireDate"] = expDateUTC -2665 -2666 self.body = str(body) -2667 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2668 -2669 if "stopOrderId" in response.keys(): -2670 uLogger.info( -2671 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( -2672 response["stopOrderId"], -2673 self.ticker, self.figi, -2674 operation, lots, -2675 targetPrice, instrument["currency"], -2676 limitPrice, instrument["currency"], -2677 TKS_STOP_ORDER_TYPES[stopOrderType], -2678 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], -2679 )) -2680 -2681 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2682 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2683 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2684 targetPrice, instrument["currency"], -2685 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2686 )) -2687 -2688 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2689 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2690 targetPrice, instrument["currency"], -2691 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2692 )) -2693 -2694 else: -2695 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") -2696 -2697 return response -2698 -2699 def BuyLimit(self, lots: int, targetPrice: float) -> dict: -2700 """ -2701 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: -2702 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then -2703 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! -2704 See also: `Order()` docstring. -2705 -2706 :param lots: volume, integer count of lots >= 1. -2707 :param targetPrice: target price > 0. This is open trade price for limit order. -2708 :return: JSON with response from broker server. -2709 """ -2710 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice) -2711 -2712 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2713 """ -2714 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. -2715 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2716 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2717 target price value then broker opens a limit order. See also: `Order()` docstring. -2718 -2719 :param lots: volume, integer count of lots >= 1. -2720 :param targetPrice: target price > 0. This is trigger price for buy stop-order. -2721 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2722 with price equal to limitPrice, when current price goes to target price of buy stop-order. -2723 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2724 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2725 :param expDate: string "Undefined" by default or local date in future. -2726 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2727 This date is converting to UTC format for server. -2728 :return: JSON with response from broker server. -2729 """ -2730 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) -2731 -2732 def SellLimit(self, lots: int, targetPrice: float) -> dict: -2733 """ -2734 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: -2735 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then -2736 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! -2737 See also: `Order()` docstring. -2738 -2739 :param lots: volume, integer count of lots >= 1. -2740 :param targetPrice: target price > 0. This is open trade price for limit order. -2741 :return: JSON with response from broker server. -2742 """ -2743 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice) -2744 -2745 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2746 """ -2747 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. -2748 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2749 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2750 target price value then broker opens a limit order. See also: `Order()` docstring. -2751 -2752 :param lots: volume, integer count of lots >= 1. -2753 :param targetPrice: target price > 0. This is trigger price for sell stop-order. -2754 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2755 with price equal to limitPrice, when current price goes to target price of sell stop-order. -2756 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2757 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2758 :param expDate: string "Undefined" by default or local date in future. -2759 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2760 This date is converting to UTC format for server. -2761 :return: JSON with response from broker server. -2762 """ -2763 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) -2764 -2765 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: -2766 """ -2767 Cancel order or list of orders by its `orderId` or `stopOrderId`. -2768 -2769 :param orderIDs: list of integers with `orderId` or `stopOrderId`. -2770 :param allOrdersIDs: pre-received lists of all active pending orders. -2771 This avoids unnecessary downloading data from the server. -2772 :param allStopOrdersIDs: pre-received lists of all active stop orders. -2773 """ -2774 if orderIDs: -2775 if allOrdersIDs is None or not allOrdersIDs: -2776 rawOrders = self.RequestPendingOrders() -2777 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2778 -2779 if allStopOrdersIDs is None or not allStopOrdersIDs: -2780 rawStopOrders = self.RequestStopOrders() -2781 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2782 -2783 for orderID in orderIDs: -2784 idInPendingOrders = orderID in allOrdersIDs -2785 idInStopOrders = orderID in allStopOrdersIDs -2786 -2787 if not (idInPendingOrders or idInStopOrders): -2788 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) -2789 continue -2790 -2791 else: -2792 if idInPendingOrders: -2793 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) -2794 -2795 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder -2796 self.body = str({"accountId": self.accountId, "orderId": orderID}) -2797 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" -2798 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2799 -2800 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2801 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2802 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) -2803 -2804 else: -2805 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) -2806 -2807 elif idInStopOrders: -2808 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) -2809 -2810 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder -2811 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) -2812 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" -2813 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2814 -2815 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2816 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2817 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) -2818 -2819 else: -2820 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) -2821 -2822 else: -2823 continue -2824 -2825 def CloseAllOrders(self) -> None: -2826 """ -2827 Gets a list of open pending and stop orders and cancel it all. -2828 """ -2829 rawOrders = self.RequestPendingOrders() -2830 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2831 lenOrders = len(allOrdersIDs) -2832 -2833 rawStopOrders = self.RequestStopOrders() -2834 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2835 lenSOrders = len(allStopOrdersIDs) -2836 -2837 if lenOrders > 0 or lenSOrders > 0: -2838 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) -2839 -2840 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) -2841 -2842 else: -2843 uLogger.info("Orders not found, nothing to cancel.") -2844 -2845 def CloseAll(self, *args) -> None: -2846 """ -2847 Close all available (not blocked) opened trades and orders. -2848 -2849 Also you can select one or more keywords case insensitive: -2850 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. -2851 -2852 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. -2853 """ -2854 overview = self.Overview(showStatistics=False) # get all open trades info -2855 -2856 if len(args) == 0: -2857 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") -2858 self.CloseAllOrders() # close all pending and stop orders -2859 -2860 for iType in TKS_INSTRUMENTS: -2861 if iType != "Currencies": -2862 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies -2863 -2864 else: -2865 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) -2866 lowerArgs = [x.lower() for x in args] -2867 -2868 if "orders" in lowerArgs: -2869 self.CloseAllOrders() # close all pending and stop orders -2870 -2871 for iType in TKS_INSTRUMENTS: -2872 if iType.lower() in lowerArgs and iType != "Currencies": -2873 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies -2874 -2875 @staticmethod -2876 def ParseOrderParameters(operation, **inputParameters): -2877 """ -2878 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. -2879 -2880 :param operation: string "Buy" or "Sell". -2881 :param inputParameters: this is dict of strings that looks like this -2882 `{"lots": "L_int,...", "prices": "P_float,..."}` where -2883 "lots" key: one or more lot values (integer numbers) to open with every limit-order -2884 "prices" key: one or more prices to open limit-orders -2885 Counts of values in lots and prices lists must be equals! -2886 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` -2887 """ -2888 # TODO: update order grid work with api v2 -2889 pass -2890 # uLogger.debug("Input parameters: {}".format(inputParameters)) -2891 # -2892 # if operation is None or not operation or operation not in ("Buy", "Sell"): -2893 # raise Exception("You must define operation type: 'Buy' or 'Sell'!") -2894 # -2895 # if "l" in inputParameters.keys(): -2896 # inputParameters["lots"] = inputParameters.pop("l") -2897 # -2898 # if "p" in inputParameters.keys(): -2899 # inputParameters["prices"] = inputParameters.pop("p") -2900 # -2901 # if "lots" not in inputParameters.keys() or "prices" not in inputParameters.keys(): -2902 # raise Exception("Both of 'lots' and 'prices' keys must be define to open grid orders!") -2903 # -2904 # lots = [int(item.strip()) for item in inputParameters["lots"].split(",")] -2905 # prices = [float(item.strip()) for item in inputParameters["prices"].split(",")] -2906 # -2907 # if len(lots) != len(prices): -2908 # raise Exception("'lots' and 'prices' lists must have equal length of values!") -2909 # -2910 # uLogger.debug("Extracted parameters for orders:") -2911 # uLogger.debug("lots = {}".format(lots)) -2912 # uLogger.debug("prices = {}".format(prices)) -2913 # -2914 # # list of dictionaries with order's parameters: [{"lot": lots_1, "price": price_1}, {...}, ...] -2915 # result = [{"lot": lots[item], "price": prices[item]} for item in range(len(prices))] -2916 # uLogger.debug("Order parameters: {}".format(result)) -2917 # -2918 # return result -2919 -2920 def IsInPortfolio(self, portfolio: dict = None) -> bool: -2921 """ -2922 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. -2923 -2924 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2925 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. -2926 """ -2927 result = False -2928 msg = "Instrument not defined!" -2929 -2930 if portfolio is None or not portfolio: -2931 portfolio = self.Overview(showStatistics=False) -2932 -2933 if self.ticker: -2934 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2935 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2936 -2937 for iType in TKS_INSTRUMENTS: -2938 for instrument in portfolio["stat"][iType]: -2939 if instrument["ticker"] == self.ticker: -2940 result = True -2941 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) -2942 break -2943 -2944 elif self.figi: -2945 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2946 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2947 -2948 for iType in TKS_INSTRUMENTS: -2949 for instrument in portfolio["stat"][iType]: -2950 if instrument["figi"] == self.figi: -2951 result = True -2952 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) -2953 break -2954 -2955 else: -2956 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -2957 -2958 uLogger.debug(msg) -2959 -2960 return result -2961 -2962 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: -2963 """ -2964 Returns instrument is in the user's portfolio if it presents there. -2965 Instrument must be defined by `ticker` (highly priority) or `figi`. -2966 -2967 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2968 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. -2969 """ -2970 result = None -2971 msg = "Instrument not defined!" -2972 -2973 if portfolio is None or not portfolio: -2974 portfolio = self.Overview(showStatistics=False) -2975 -2976 if self.ticker: -2977 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2978 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2979 -2980 for iType in TKS_INSTRUMENTS: -2981 for instrument in portfolio["stat"][iType]: -2982 if instrument["ticker"] == self.ticker: -2983 result = instrument -2984 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) -2985 break -2986 -2987 elif self.figi: -2988 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2989 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2990 -2991 for iType in TKS_INSTRUMENTS: -2992 for instrument in portfolio["stat"][iType]: -2993 if instrument["figi"] == self.figi: -2994 result = instrument -2995 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) -2996 break -2997 -2998 else: -2999 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -3000 -3001 uLogger.debug(msg) -3002 -3003 return result +@@ -6673,140 +6901,150 @@181class TinkoffBrokerServer: + 182 """ + 183 This class implements methods to work with Tinkoff broker server. + 184 + 185 Examples to work with API: https://tinkoff.github.io/investAPI/swagger-ui/ + 186 + 187 About `token`: https://tinkoff.github.io/investAPI/token/ + 188 """ + 189 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: + 190 """ + 191 Main class init. + 192 + 193 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. + 194 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. + 195 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. + 196 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. + 197 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. + 198 For future use, you can save this variable and use as `iList` to avoid permanent downloads + 199 from the server. Also, you can try `DumpInstruments()` method. + 200 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. + 201 True by default. Cache is auto-update if new day has come. + 202 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. + 203 If you don't want to use cache and always updates raw data then set `useCache=False`. + 204 """ + 205 if token is None or not token: + 206 try: + 207 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) + 208 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") + 209 + 210 except KeyError: + 211 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") + 212 + 213 else: + 214 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' + 215 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") + 216 + 217 if accountId is None or not accountId: + 218 try: + 219 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) + 220 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") + 221 + 222 except KeyError: + 223 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") + 224 + 225 else: + 226 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' + 227 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") + 228 + 229 self.aliases = TKS_TICKER_ALIASES + 230 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" + 231 + 232 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init + 233 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there + 234 + 235 self.ticker = "" + 236 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" + 237 + 238 self.figi = "" + 239 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" + 240 + 241 self.depth = 1 + 242 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" + 243 + 244 self.server = r"https://invest-public-api.tinkoff.ru/rest" + 245 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest + 246 + 247 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 + 248 """ + 249 + 250 uLogger.debug("Broker API server: {}".format(self.server)) + 251 + 252 self.timeout = 15 + 253 """Server operations timeout in seconds. Default: `15`""" + 254 + 255 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} + 256 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {your_token}"}`""" + 257 + 258 self.body = None + 259 """Request body which send to broker server. Default: `None`""" + 260 + 261 # remove after implemented: #45 Add selector of file types https://github.com/Tim55667757/TKSBrokerAPI/issues/45 + 262 # self.outputFileType = None + 263 # """Switch of types for output files when `--output` key present. You can choose: `.md`, `.csv` and `.xlsx`. By default: `None`, it mean that default types will be used.""" + 264 + 265 self.historyFile = None + 266 """Full path to the output file where history candles will be saved or updated. Default: `None`, it mean that returns only pandas dataframe when you request `History()` method.""" + 267 + 268 self.instrumentsFile = "instruments.md" + 269 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" + 270 + 271 self.searchResultsFile = "search-results.md" + 272 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" + 273 + 274 self.pricesFile = "prices.md" + 275 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" + 276 + 277 self.overviewFile = "overview.md" + 278 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" + 279 + 280 self.overviewDigestFile = "overview-digest.md" + 281 """Filename where short digest of the portfolio status will be saved. Default: `overview-digest.md`""" + 282 + 283 self.overviewPositionsFile = "overview-positions.md" + 284 """Filename where only open positions, without everything else will be saved. Default: `overview-positions.md`""" + 285 + 286 self.overviewOrdersFile = "overview-orders.md" + 287 """Filename where open limits and stop orders will be saved. Default: `overview-orders.md`""" + 288 + 289 self.overviewAnalyticsFile = "overview-analytics.md" + 290 """Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default: `overview-analytics.md`""" + 291 + 292 self.reportFile = "deals.md" + 293 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" + 294 + 295 self.iListDumpFile = "dump.json" + 296 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" + 297 + 298 self.iList = None # init iList + 299 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. + 300 + 301 See also: `Listing()` and `DumpInstruments()`. + 302 """ + 303 + 304 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: + 305 if iList is not None and isinstance(iList, dict): + 306 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") + 307 + 308 self.iList = iList # only used given iList, dump not updated + 309 + 310 elif useCache: + 311 if os.path.exists(self.iListDumpFile): + 312 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time + 313 curTime = datetime.now(tzutc()) + 314 + 315 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): + 316 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) + 317 + 318 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file + 319 + 320 else: + 321 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump + 322 + 323 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) + 324 uLogger.debug("Dump file was last modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) + 325 + 326 else: + 327 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") + 328 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file + 329 + 330 else: + 331 self.iList = self.Listing() # request new raw instruments data from broker server + 332 self.DumpInstruments(forceUpdate=False) # save updated info to default dump file + 333 + 334 @staticmethod + 335 def _ParseJSON(rawData="{}", debug: bool = False) -> dict: + 336 """ + 337 Parse JSON from response string. + 338 + 339 :param rawData: this is a string with JSON-formatted text. + 340 :param debug: if `True` then print more debug information. + 341 :return: JSON (dictionary), parsed from server response string. + 342 """ + 343 if debug: + 344 uLogger.debug("Raw text body:") + 345 uLogger.debug(rawData) + 346 + 347 responseJSON = json.loads(rawData) if rawData else {} + 348 + 349 if debug: + 350 uLogger.debug("JSON formatted:") + 351 for jsonLine in json.dumps(responseJSON, indent=4).split('\n'): + 352 uLogger.debug(jsonLine) + 353 + 354 return responseJSON + 355 + 356 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: + 357 """ + 358 Send GET or POST request to broker server and receive JSON object. + 359 + 360 self.header: must be define with dictionary of headers. + 361 self.body: if define then used as request body. None by default. + 362 self.timeout: global request timeout, 15 seconds by default. + 363 :param url: url with REST request. + 364 :param reqType: send "GET" or "POST" request. "GET" by default. + 365 :param retry: how many times retry after first request if an error occurred. + 366 :param pause: sleep time in seconds between retries. + 367 :param debug: if `True` then print more debug information. + 368 :return: response JSON (dictionary) from broker. + 369 """ + 370 if reqType not in ("GET", "POST"): + 371 raise Exception("You can define request type: 'GET' or 'POST'!") + 372 + 373 if debug: + 374 uLogger.debug("Request parameters:") + 375 uLogger.debug(" - REST API URL: {}".format(url)) + 376 uLogger.debug(" - request type: {}".format(reqType)) + 377 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) + 378 uLogger.debug(" - body: {}".format(self.body)) + 379 + 380 # fast hack to avoid all operations with some tickers/FIGI + 381 responseJSON = {} + 382 oK = True + 383 for item in self.exclude: + 384 if item in url: + 385 if debug: + 386 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) + 387 + 388 oK = False + 389 break + 390 + 391 if oK: + 392 counter = 0 + 393 response = None + 394 errMsg = "" + 395 + 396 while not response and counter <= retry: + 397 if reqType == "GET": + 398 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) + 399 + 400 if reqType == "POST": + 401 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) + 402 + 403 if debug: + 404 uLogger.debug("Response:") + 405 uLogger.debug(" - status code: {}".format(response.status_code)) + 406 uLogger.debug(" - reason: {}".format(response.reason)) + 407 uLogger.debug(" - body length: {}".format(len(response.text))) + 408 + 409 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes + 410 if 400 <= response.status_code < 600: + 411 errMsg = "[{}] {}".format(response.status_code, response.text) + 412 uLogger.debug(" - not oK status code received: {}".format(errMsg)) + 413 counter += 1 + 414 + 415 if counter <= retry: + 416 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) + 417 sleep(pause) + 418 + 419 responseJSON = self._ParseJSON(response.text) + 420 + 421 if errMsg: + 422 uLogger.error("Not `oK` status received from broker server! See: https://tinkoff.github.io/investAPI/errors/") + 423 uLogger.error(" - message: {}".format(errMsg)) + 424 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") + 425 + 426 return responseJSON + 427 + 428 def _IUpdater(self, iType: str) -> tuple: + 429 """ + 430 Request instrument by type from server. See available API methods for instruments: + 431 Currencies: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Currencies + 432 Shares: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Shares + 433 Bonds: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Bonds + 434 Etfs: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Etfs + 435 Futures: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService/InstrumentsService_Futures + 436 + 437 :param iType: type of the instrument, it must be one of supported types in TKS_INSTRUMENTS list. + 438 :return: tuple with iType name and list of available instruments of current type for defined user token. + 439 """ + 440 result = [] + 441 + 442 if iType in TKS_INSTRUMENTS: + 443 uLogger.debug("Requesting available [{}] list. Wait, please...".format(iType)) + 444 + 445 # all instruments have the same body in API v2 requests: + 446 self.body = str({"instrumentStatus": "INSTRUMENT_STATUS_UNSPECIFIED"}) # Enum: [INSTRUMENT_STATUS_UNSPECIFIED, INSTRUMENT_STATUS_BASE, INSTRUMENT_STATUS_ALL] + 447 instrumentURL = self.server + r"/tinkoff.public.invest.api.contract.v1.InstrumentsService/{}".format(iType) + 448 result = self.SendAPIRequest(instrumentURL, reqType="POST", debug=False)["instruments"] + 449 + 450 return iType, result + 451 + 452 def _IWrapper(self, kwargs): + 453 """ + 454 Wrapper runs instrument's update method `_IUpdater()`. + 455 It's a workaround for using multiprocessing with kwargs. See: https://stackoverflow.com/a/36799206 + 456 """ + 457 return self._IUpdater(**kwargs) + 458 + 459 def Listing(self) -> dict: + 460 """ + 461 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. + 462 + 463 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. + 464 """ + 465 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") + 466 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) + 467 + 468 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService + 469 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. + 470 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] + 471 + 472 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode + 473 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations + 474 poolUpdater.close() + 475 + 476 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. + 477 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method + 478 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} + 479 + 480 # calculate minimum price increment (step) for all instruments and set up instrument's type: + 481 for iType in iList.keys(): + 482 for ticker in iList[iType]: + 483 iList[iType][ticker]["type"] = iType + 484 + 485 if "minPriceIncrement" in iList[iType][ticker].keys(): + 486 iList[iType][ticker]["step"] = NanoToFloat( + 487 iList[iType][ticker]["minPriceIncrement"]["units"], + 488 iList[iType][ticker]["minPriceIncrement"]["nano"], + 489 ) + 490 + 491 else: + 492 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures + 493 + 494 return iList + 495 + 496 def DumpInstruments(self, forceUpdate: bool = True) -> str: + 497 """ + 498 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server + 499 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. + 500 + 501 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. + 502 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. + 503 """ + 504 if self.iListDumpFile is None or not self.iListDumpFile: + 505 raise Exception("Output name of dump file must be defined!") + 506 + 507 if not self.iList or forceUpdate: + 508 self.iList = self.Listing() + 509 + 510 dump = json.dumps(self.iList, indent=4, sort_keys=False) + 511 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: + 512 fH.write(dump) + 513 + 514 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) + 515 + 516 return dump + 517 + 518 @staticmethod + 519 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: + 520 """ + 521 Show information about one instrument defined by json data and prints it in Markdown format. + 522 + 523 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` + 524 :param printInfo: if `True` then also printing information about instrument and its current price. + 525 :return: multilines text in Markdown format with information about one instrument. + 526 """ + 527 splitLine = "| | |\n" + 528 infoText = "" + 529 + 530 if iJSON is not None and iJSON and isinstance(iJSON, dict): + 531 info = [ + 532 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + 533 "| Parameters | Values |\n", + 534 "|---------------------------------------------------------|---------------------------------------------------------|\n", + 535 "| Ticker: | {:<55} |\n".format(iJSON["ticker"]), + 536 "| Full name: | {:<55} |\n".format(iJSON["name"]), + 537 ] + 538 + 539 if "sector" in iJSON.keys() and iJSON["sector"]: + 540 info.append("| Sector: | {:<55} |\n".format(iJSON["sector"])) + 541 + 542 info.append("| Country of instrument: | {:<55} |\n".format("{}{}".format( + 543 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", + 544 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", + 545 ))) + 546 + 547 info.extend([ + 548 splitLine, + 549 "| FIGI (Financial Instrument Global Identifier): | {:<55} |\n".format(iJSON["figi"]), + 550 "| Exchange: | {:<55} |\n".format(iJSON["exchange"]), + 551 ]) + 552 + 553 if "isin" in iJSON.keys() and iJSON["isin"]: + 554 info.append("| ISIN (International Securities Identification Number): | {:<55} |\n".format(iJSON["isin"])) + 555 + 556 if "classCode" in iJSON.keys(): + 557 info.append("| Class Code: | {:<55} |\n".format(iJSON["classCode"])) + 558 + 559 info.extend([ + 560 splitLine, + 561 "| Current broker security trading status: | {:<55} |\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), + 562 "| Buy operations allowed: | {:<55} |\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), + 563 "| Sale operations allowed: | {:<55} |\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), + 564 "| Short positions allowed: | {:<55} |\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), + 565 ]) + 566 + 567 info.append(splitLine) + 568 + 569 if "type" in iJSON.keys() and iJSON["type"]: + 570 info.append("| Type of the instrument: | {:<55} |\n".format(iJSON["type"])) + 571 + 572 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: + 573 info.append("| Futures type: | {:<55} |\n".format(iJSON["futuresType"])) + 574 + 575 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: + 576 info.append("| IPO date: | {:<55} |\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) + 577 + 578 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: + 579 info.append("| Released date: | {:<55} |\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) + 580 + 581 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: + 582 info.append("| Rebalancing frequency: | {:<55} |\n".format(iJSON["rebalancingFreq"])) + 583 + 584 if "focusType" in iJSON.keys() and iJSON["focusType"]: + 585 info.append("| Focusing type: | {:<55} |\n".format(iJSON["focusType"])) + 586 + 587 if "assetType" in iJSON.keys() and iJSON["assetType"]: + 588 info.append("| Asset type: | {:<55} |\n".format(iJSON["assetType"])) + 589 + 590 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: + 591 info.append("| Basic asset: | {:<55} |\n".format(iJSON["basicAsset"])) + 592 + 593 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: + 594 info.append("| Basic asset size: | {:<55} |\n".format("{:.2f}".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"])))) + 595 + 596 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: + 597 info.append("| ISO currency name: | {:<55} |\n".format(iJSON["isoCurrencyName"])) + 598 + 599 if "currency" in iJSON.keys(): + 600 info.append("| Payment currency: | {:<55} |\n".format(iJSON["currency"])) + 601 + 602 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: + 603 info.append("| First trade date: | {:<55} |\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) + 604 + 605 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: + 606 info.append("| Last trade date: | {:<55} |\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) + 607 + 608 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: + 609 info.append("| Date of expiration: | {:<55} |\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) + 610 + 611 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: + 612 info.append("| State registration date: | {:<55} |\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) + 613 + 614 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: + 615 info.append("| Placement date: | {:<55} |\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) + 616 + 617 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: + 618 info.append("| Maturity date: | {:<55} |\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) + 619 + 620 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: + 621 info.append("| Perpetual bond: | Yes |\n") + 622 + 623 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: + 624 info.append("| Over-the-counter (OTC) securities: | Yes |\n") + 625 + 626 if iJSON["type"] == "Bonds": + 627 info.append("| Bond issue (size / plan): | {:<55} |\n".format("{} / {}".format(iJSON["issueSize"], iJSON["issueSizePlan"]))) + 628 + 629 info.append("| Nominal price (100%): | {:<55} |\n".format("{:.2f} {}".format( + 630 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), + 631 iJSON["nominal"]["currency"], + 632 ))) + 633 + 634 if "floatingCouponFlag" in iJSON.keys(): + 635 info.append("| Floating coupon: | {:<55} |\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) + 636 + 637 if "amortizationFlag" in iJSON.keys(): + 638 info.append("| Amortization: | {:<55} |\n".format("Yes" if iJSON["amortizationFlag"] else "No")) + 639 + 640 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: + 641 info.append("| Number of coupon payments per year: | {:<55} |\n".format(iJSON["couponQuantityPerYear"])) + 642 + 643 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: + 644 info.append("| Current ACI (Accrued Interest): | {:<55} |\n".format("{:.2f} {}".format( + 645 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), + 646 iJSON["aciValue"]["currency"] + 647 ))) + 648 + 649 if "currentPrice" in iJSON.keys(): + 650 info.append(splitLine) + 651 + 652 info.extend([ + 653 "| Previous close price of the instrument: | {:<55} |\n".format("{}{}".format( + 654 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", + 655 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 656 )), + 657 "| Last deal price of the instrument: | {:<55} |\n".format("{}{}".format( + 658 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", + 659 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 660 )), + 661 "| Changes between last deal price and last close % | {:<55} |\n".format("{:.2f}".format(iJSON["currentPrice"]["changes"])), + 662 "| Current limit price, min / max: | {:<55} |\n".format("{}{} / {}{}".format( + 663 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", + 664 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 665 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", + 666 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 667 )), + 668 "| Actual price, sell / buy: | {:<55} |\n".format("{}{} / {}{}".format( + 669 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", + 670 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 671 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", + 672 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), + 673 )), + 674 ]) + 675 + 676 if "lot" in iJSON.keys(): + 677 info.append("| Minimum lot to buy: | {:<55} |\n".format(iJSON["lot"])) + 678 + 679 if "step" in iJSON.keys() and iJSON["step"] != 0: + 680 info.append("| Minimum price increment (step): | {:<55} |\n".format(iJSON["step"])) + 681 + 682 infoText += "".join(info) + 683 + 684 if printInfo: + 685 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) + 686 + 687 else: + 688 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) + 689 + 690 return infoText + 691 + 692 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: + 693 """ + 694 Search and return raw broker's information about instrument by it's ticker. + 695 `ticker` must be define! If debug=True then print all debug messages. + 696 + 697 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). + 698 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. + 699 :param debug: if `True` then print all debug console messages. + 700 :return: JSON formatted data with information about instrument. + 701 """ + 702 tickerJSON = {} + 703 if debug: + 704 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) + 705 + 706 if not self.ticker: + 707 uLogger.warning("self.ticker variable is not be empty!") + 708 + 709 else: + 710 if not self.iList: + 711 self.iList = self.Listing() + 712 + 713 if self.ticker in self.iList["Shares"].keys(): + 714 tickerJSON = self.iList["Shares"][self.ticker] + 715 if debug: + 716 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) + 717 + 718 elif self.ticker in self.iList["Currencies"].keys(): + 719 tickerJSON = self.iList["Currencies"][self.ticker] + 720 if debug: + 721 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) + 722 + 723 elif self.ticker in self.iList["Bonds"].keys(): + 724 tickerJSON = self.iList["Bonds"][self.ticker] + 725 if debug: + 726 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) + 727 + 728 elif self.ticker in self.iList["Etfs"].keys(): + 729 tickerJSON = self.iList["Etfs"][self.ticker] + 730 if debug: + 731 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) + 732 + 733 elif self.ticker in self.iList["Futures"].keys(): + 734 tickerJSON = self.iList["Futures"][self.ticker] + 735 if debug: + 736 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) + 737 + 738 if tickerJSON: + 739 self.figi = tickerJSON["figi"] + 740 + 741 if requestPrice: + 742 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) + 743 + 744 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: + 745 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] + 746 + 747 else: + 748 tickerJSON["currentPrice"]["changes"] = 0 + 749 + 750 if showInfo: + 751 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text + 752 + 753 else: + 754 if showInfo: + 755 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) + 756 + 757 return tickerJSON + 758 + 759 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: + 760 """ + 761 Search and return raw broker's information about instrument by it's FIGI. + 762 `figi` must be define! If debug=True then print all debug messages. + 763 + 764 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). + 765 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. + 766 :param debug: if `True` then print all debug console messages. + 767 :return: JSON formatted data with information about instrument. + 768 """ + 769 figiJSON = {} + 770 if debug: + 771 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) + 772 + 773 if not self.figi: + 774 uLogger.warning("self.figi variable is not be empty!") + 775 + 776 else: + 777 if not self.iList: + 778 self.iList = self.Listing() + 779 + 780 for item in self.iList["Shares"].keys(): + 781 if self.figi == self.iList["Shares"][item]["figi"]: + 782 figiJSON = self.iList["Shares"][item] + 783 + 784 if debug: + 785 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) + 786 + 787 break + 788 + 789 if not figiJSON: + 790 for item in self.iList["Currencies"].keys(): + 791 if self.figi == self.iList["Currencies"][item]["figi"]: + 792 figiJSON = self.iList["Currencies"][item] + 793 + 794 if debug: + 795 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) + 796 + 797 break + 798 + 799 if not figiJSON: + 800 for item in self.iList["Bonds"].keys(): + 801 if self.figi == self.iList["Bonds"][item]["figi"]: + 802 figiJSON = self.iList["Bonds"][item] + 803 + 804 if debug: + 805 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) + 806 + 807 break + 808 + 809 if not figiJSON: + 810 for item in self.iList["Etfs"].keys(): + 811 if self.figi == self.iList["Etfs"][item]["figi"]: + 812 figiJSON = self.iList["Etfs"][item] + 813 + 814 if debug: + 815 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) + 816 + 817 break + 818 + 819 if not figiJSON: + 820 for item in self.iList["Futures"].keys(): + 821 if self.figi == self.iList["Futures"][item]["figi"]: + 822 figiJSON = self.iList["Futures"][item] + 823 + 824 if debug: + 825 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) + 826 + 827 break + 828 + 829 if figiJSON: + 830 self.figi = figiJSON["figi"] + 831 self.ticker = figiJSON["ticker"] + 832 + 833 if requestPrice: + 834 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) + 835 + 836 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: + 837 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] + 838 + 839 else: + 840 figiJSON["currentPrice"]["changes"] = 0 + 841 + 842 if showInfo: + 843 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text + 844 + 845 else: + 846 if showInfo: + 847 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) + 848 + 849 return figiJSON + 850 + 851 def GetCurrentPrices(self, showPrice: bool = False) -> dict: + 852 """ + 853 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: + 854 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. + 855 + 856 :param showPrice: if `True` then print DOM. + 857 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. + 858 """ + 859 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} + 860 + 861 if self.depth < 1: + 862 raise Exception("Depth of Market (DOM) must be >=1!") + 863 + 864 if not (self.ticker or self.figi): + 865 raise Exception("self.ticker or self.figi variables must be defined!") + 866 + 867 if self.ticker and not self.figi: + 868 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! + 869 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" + 870 + 871 if not self.ticker and self.figi: + 872 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! + 873 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" + 874 + 875 if not self.figi: + 876 uLogger.error("FIGI is not determined!") + 877 + 878 else: + 879 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) + 880 + 881 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook + 882 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" + 883 self.body = str({"figi": self.figi, "depth": self.depth}) + 884 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") + 885 + 886 if pricesResponse: + 887 # list of dicts with sellers orders: + 888 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] + 889 + 890 # list of dicts with buyers orders: + 891 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] + 892 + 893 # max price of instrument at this time: + 894 prices["limitUp"] = round(NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]), 6) if "limitUp" in pricesResponse.keys() else None + 895 + 896 # min price of instrument at this time: + 897 prices["limitDown"] = round(NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]), 6) if "limitDown" in pricesResponse.keys() else None + 898 + 899 # last price of deal with instrument: + 900 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 + 901 + 902 # last close price of instrument: + 903 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 + 904 + 905 else: + 906 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) + 907 uLogger.debug("Server response: {}".format(pricesResponse)) + 908 + 909 if showPrice: + 910 if prices["buy"] or prices["sell"]: + 911 info = [ + 912 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( + 913 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), + 914 self.ticker, + 915 self.figi, + 916 self.depth, + 917 ), + 918 uLog.sepShort, "\n", + 919 " Orders of Buyers | Orders of Sellers\n", + 920 uLog.sepShort, "\n", + 921 " Sell prices (vol.) | Buy prices (vol.)\n", + 922 uLog.sepShort, "\n", + 923 ] + 924 + 925 if not prices["buy"]: + 926 info.append(" | No orders!\n") + 927 sumBuy = 0 + 928 + 929 else: + 930 sumBuy = sum([x["quantity"] for x in prices["buy"]]) + 931 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) + 932 for item in maxMinSorted: + 933 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) + 934 + 935 if not prices["sell"]: + 936 info.append("No orders! |\n") + 937 sumSell = 0 + 938 + 939 else: + 940 sumSell = sum([x["quantity"] for x in prices["sell"]]) + 941 for item in prices["sell"]: + 942 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) + 943 + 944 info.extend([ + 945 uLog.sepShort, "\n", + 946 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), + 947 uLog.sepShort, "\n", + 948 ]) + 949 + 950 infoText = "".join(info) + 951 + 952 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) + 953 + 954 else: + 955 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) + 956 + 957 return prices + 958 + 959 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: + 960 """ + 961 This method get and show information about all available broker instruments. + 962 If `instrumentsFile` string is not empty then also save information to this file. + 963 + 964 :param showInstruments: if `True` then print results to console, if `False` - print only to file. + 965 :return: multi-string with all available broker instruments + 966 """ + 967 if not self.iList: + 968 self.iList = self.Listing() + 969 + 970 info = [ + 971 "# All available instruments from Tinkoff Broker server for current user token\n\n", + 972 "* **Actual on date:** [{} UTC]\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + 973 ] + 974 + 975 # add instruments count by type: + 976 for iType in self.iList.keys(): + 977 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) + 978 + 979 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step |\n" + 980 splitLine = "|--------------|-----------------------------------------------------------|--------------|-----|---------|------------|\n" + 981 + 982 # generating info tables with all instruments by type: + 983 for iType in self.iList.keys(): + 984 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) + 985 + 986 for instrument in self.iList[iType].keys(): + 987 iName = self.iList[iType][instrument]["name"] # instrument's name + 988 if len(iName) > 57: + 989 iName = "{}...".format(iName[:54]) # right trim for a long string + 990 + 991 info.append("| {:<12} | {:<57} | {:<12} | {:<3} | {:<7} | {:<10} |\n".format( + 992 self.iList[iType][instrument]["ticker"], + 993 iName, + 994 self.iList[iType][instrument]["figi"], + 995 self.iList[iType][instrument]["currency"], + 996 self.iList[iType][instrument]["lot"], + 997 "{:.10f}".format(self.iList[iType][instrument]["step"]).rstrip("0").rstrip(".") if self.iList[iType][instrument]["step"] > 0 else 0, + 998 )) + 999 +1000 infoText = "".join(info) +1001 +1002 if showInstruments: +1003 uLogger.info(infoText) +1004 +1005 if self.instrumentsFile: +1006 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: +1007 fH.write(infoText) +1008 +1009 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) +1010 +1011 return infoText +1012 +1013 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: +1014 """ +1015 This method search and show information about instruments by part of its ticker, FIGI or name. +1016 If `searchResultsFile` string is not empty then also save information to this file. +1017 +1018 :param pattern: string with part of ticker, FIGI or instrument's name. +1019 :param showResults: if `True` then print results to console, if `False` - return list of result only. +1020 :return: list of dictionaries with all found instruments. +1021 """ +1022 if not self.iList: +1023 self.iList = self.Listing() +1024 +1025 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments +1026 compiledPattern = re.compile(pattern, re.IGNORECASE) +1027 +1028 for iType in self.iList: +1029 for instrument in self.iList[iType].values(): +1030 searchResult = compiledPattern.search(" ".join( +1031 [instrument["ticker"], instrument["figi"], instrument["name"]] +1032 )) +1033 +1034 if searchResult: +1035 searchResults[iType][instrument["ticker"]] = instrument +1036 +1037 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) +1038 info = [ +1039 "# Search results\n\n", +1040 "* **Search pattern:** [{}]\n".format(pattern), +1041 "* **Found instruments:** [{}]\n\n".format(resultsLen), +1042 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" +1043 ] +1044 infoShort = info[:] +1045 +1046 headerLine = "| Type | Ticker | Full name | FIGI |\n" +1047 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" +1048 skippedLine = "| ... | ... | ... | ... |\n" +1049 +1050 if resultsLen == 0: +1051 info.append("\nNo results\n") +1052 infoShort.append("\nNo results\n") +1053 uLogger.warning("No results. Try changing your search pattern.") +1054 +1055 else: +1056 for iType in searchResults: +1057 iTypeValuesCount = len(searchResults[iType].values()) +1058 if iTypeValuesCount > 0: +1059 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1060 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1061 +1062 for instrument in searchResults[iType].values(): +1063 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( +1064 instrument["type"], +1065 instrument["ticker"], +1066 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string +1067 instrument["figi"], +1068 )) +1069 +1070 if iTypeValuesCount <= 5: +1071 infoShort.extend(info[-iTypeValuesCount:]) +1072 +1073 else: +1074 infoShort.extend(info[-5:]) +1075 infoShort.append(skippedLine) +1076 +1077 infoText = "".join(info) +1078 infoTextShort = "".join(infoShort) +1079 +1080 if showResults: +1081 uLogger.info(infoTextShort) +1082 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") +1083 +1084 if self.searchResultsFile: +1085 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: +1086 fH.write(infoText) +1087 +1088 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) +1089 +1090 return searchResults +1091 +1092 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: +1093 """ +1094 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! +1095 See limits: https://tinkoff.github.io/investAPI/limits/ +1096 If `pricesFile` string is not empty then also save information to this file. +1097 +1098 :param instruments: list of tickers or FIGIs. +1099 :param showPrices: if `True` then print to console, if `False` - print only to file. +1100 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` +1101 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. +1102 """ +1103 if instruments is None or not instruments: +1104 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") +1105 +1106 requestedInstruments = [] +1107 for iName in instruments: +1108 if iName not in self.aliases.keys(): +1109 if iName not in requestedInstruments: +1110 requestedInstruments.append(iName) +1111 +1112 else: +1113 if iName not in requestedInstruments: +1114 if self.aliases[iName] not in requestedInstruments: +1115 requestedInstruments.append(self.aliases[iName]) +1116 +1117 uLogger.debug("Requested instruments without duplicates of tickers and FIGIs: {}".format(requestedInstruments)) +1118 +1119 onlyUniqueFIGIs = [] +1120 for iName in requestedInstruments: +1121 self.ticker = iName +1122 iData = self.SearchByTicker(requestPrice=False) # trying to find instrument by ticker +1123 +1124 if not iData: +1125 self.ticker = "" +1126 self.figi = iName +1127 +1128 iData = self.SearchByFIGI(requestPrice=False) # trying to find instrument by FIGI +1129 +1130 if not iData: +1131 self.figi = "" +1132 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) +1133 +1134 if iData and iData["figi"] not in onlyUniqueFIGIs: +1135 onlyUniqueFIGIs.append(iData["figi"]) +1136 +1137 uLogger.debug("Unique list of FIGIs: {}".format(onlyUniqueFIGIs)) +1138 uLogger.debug("Requesting current prices from Tinkoff Broker server...") +1139 +1140 iList = [] # trying to get info and current prices about all unique instruments: +1141 for self.figi in onlyUniqueFIGIs: +1142 iData = self.SearchByFIGI(requestPrice=True) +1143 iList.append(iData) +1144 +1145 if showPrices: +1146 info = [ +1147 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), +1148 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr. |\n", +1149 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|-------|\n", +1150 ] +1151 +1152 for item in iList: +1153 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {:<5} |\n".format( +1154 item["ticker"], +1155 item["figi"], +1156 item["type"], +1157 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), +1158 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), +1159 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), +1160 "{} / {}".format( +1161 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", +1162 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", +1163 ), +1164 "{} / {}".format( +1165 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", +1166 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", +1167 ), +1168 item["currency"], +1169 )) +1170 +1171 infoText = "".join(info) +1172 +1173 if showPrices: +1174 uLogger.info("Only instruments with unique FIGIs are shown:\n{}".format(infoText)) +1175 +1176 if self.pricesFile: +1177 with open(self.pricesFile, "w", encoding="UTF-8") as fH: +1178 fH.write(infoText) +1179 +1180 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) +1181 +1182 return iList +1183 +1184 def RequestPortfolio(self) -> dict: +1185 """ +1186 Requesting current actual user's portfolio. +1187 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio +1188 +1189 :return: dictionary with user's portfolio. +1190 """ +1191 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") +1192 +1193 self.body = str({"accountId": self.accountId}) +1194 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" +1195 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") +1196 +1197 uLogger.debug("Records about user's portfolio successfully received") +1198 +1199 return rawPortfolio +1200 +1201 def RequestPositions(self) -> dict: +1202 """ +1203 Requesting current open positions in currencies and instruments. +1204 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions +1205 +1206 :return: dictionary with open positions by instruments. +1207 """ +1208 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") +1209 +1210 self.body = str({"accountId": self.accountId}) +1211 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" +1212 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") +1213 +1214 uLogger.debug("Records about current open positions successfully received") +1215 +1216 return rawPositions +1217 +1218 def RequestPendingOrders(self) -> list: +1219 """ +1220 Requesting current actual pending orders. +1221 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders +1222 +1223 :return: list of dictionaries with pending orders. +1224 """ +1225 uLogger.debug("Requesting current actual pending orders. Wait, please...") +1226 +1227 self.body = str({"accountId": self.accountId}) +1228 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" +1229 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] +1230 +1231 uLogger.debug("[{}] records about pending orders received".format(len(rawOrders))) +1232 +1233 return rawOrders +1234 +1235 def RequestStopOrders(self) -> list: +1236 """ +1237 Requesting current actual stop orders. +1238 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders +1239 +1240 :return: list of dictionaries with stop orders. +1241 """ +1242 uLogger.debug("Requesting current actual stop orders. Wait, please...") +1243 +1244 self.body = str({"accountId": self.accountId}) +1245 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" +1246 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] +1247 +1248 uLogger.debug("[{}] records about stop orders received".format(len(rawStopOrders))) +1249 +1250 return rawStopOrders +1251 +1252 def Overview(self, showStatistics: bool = False, details: str = "full") -> dict: +1253 """ +1254 Get portfolio: all open positions, orders and some statistics for defined accountId. +1255 If `overviewFile`, `overviewDigestFile`, `overviewPositionsFile`, `overviewOrdersFile`, `overviewAnalyticsFile` +1256 are defined then also save information to file. +1257 +1258 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. +1259 :param details: how detailed should the information be? You should specify one of strings: +1260 `full` - shows full available information about portfolio status (by default), +1261 `positions` - shows only open positions, +1262 `digest` - show a short digest of the portfolio status, +1263 `analytics` - shows only the analytics section and the distribution of the portfolio by various categories, +1264 `orders` - shows only sections of open limits and stop orders. +1265 :return: dictionary with client's raw portfolio and some statistics. +1266 """ +1267 view = { +1268 "raw": { # --- raw portfolio responses from broker with user portfolio data: +1269 "headers": {}, # list of dictionaries, response headers without "positions" section +1270 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section +1271 "Shares": [], # list of dictionaries, open trades with shares from "positions" section +1272 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section +1273 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section +1274 "Futures": [], # list of dictionaries, open trades with futures from "positions" section +1275 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client +1276 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders +1277 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders +1278 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB +1279 }, +1280 "stat": { # --- some statistics calculated using "raw" sections: +1281 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) +1282 "availableRUB": 0., # available rubles (without other currencies) +1283 "blockedRUB": 0., # blocked sum in Russian Rouble +1284 "totalChangesRUB": 0., # changes for all open trades in RUB +1285 "totalChangesPercentRUB": 0., # changes for all open trades in percents +1286 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB +1287 "sharesCostRUB": 0., # costs of all shares in RUB +1288 "bondsCostRUB": 0., # costs of all bonds in RUB +1289 "etfsCostRUB": 0., # costs of all etfs in RUB +1290 "futuresCostRUB": 0., # costs of all futures in RUB +1291 "Currencies": [], # list of dictionaries of all currencies statistics +1292 "Shares": [], # list of dictionaries of all shares statistics +1293 "Bonds": [], # list of dictionaries of all bonds statistics +1294 "Etfs": [], # list of dictionaries of all etfs statistics +1295 "Futures": [], # list of dictionaries of all futures statistics +1296 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters +1297 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters +1298 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} +1299 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} +1300 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1301 }, +1302 "analytics": { # --- some analytics of portfolio: +1303 "distrByAssets": {}, # portfolio distribution by assets +1304 "distrByCompanies": {}, # portfolio distribution by companies +1305 "distrBySectors": {}, # portfolio distribution by sectors +1306 "distrByCurrencies": {}, # portfolio distribution by currencies +1307 "distrByCountries": {}, # portfolio distribution by countries +1308 } +1309 } +1310 +1311 details = details.lower() +1312 availableDetails = ["full", "positions", "digest", "analytics", "orders"] +1313 if details not in availableDetails: +1314 details = "full" +1315 uLogger.debug("Requested incorrect details! The `details` must be one of this strings: {}. Details parameter set to `full` be default.".format(availableDetails)) +1316 +1317 uLogger.debug("Requesting portfolio of a client. Wait, please...") +1318 +1319 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) +1320 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) +1321 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) +1322 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) +1323 +1324 # save response headers without "positions" section: +1325 for key in portfolioResponse.keys(): +1326 if key != "positions": +1327 view["raw"]["headers"][key] = portfolioResponse[key] +1328 +1329 else: +1330 continue +1331 +1332 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation +1333 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS +1334 for item in portfolioResponse["positions"]: +1335 if item["instrumentType"] == "currency": +1336 self.figi = item["figi"] +1337 curr = self.SearchByFIGI(requestPrice=False) +1338 +1339 # current price of currency in RUB: +1340 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { +1341 "name": curr["name"], +1342 "currentPrice": NanoToFloat( +1343 item["currentPrice"]["units"], +1344 item["currentPrice"]["nano"] +1345 ), +1346 } +1347 +1348 view["raw"]["Currencies"].append(item) +1349 +1350 elif item["instrumentType"] == "share": +1351 view["raw"]["Shares"].append(item) +1352 +1353 elif item["instrumentType"] == "bond": +1354 view["raw"]["Bonds"].append(item) +1355 +1356 elif item["instrumentType"] == "etf": +1357 view["raw"]["Etfs"].append(item) +1358 +1359 elif item["instrumentType"] == "futures": +1360 view["raw"]["Futures"].append(item) +1361 +1362 else: +1363 continue +1364 +1365 # how many volume of currencies (by ISO currency name) are blocked: +1366 for item in view["raw"]["positions"]["blocked"]: +1367 blocked = NanoToFloat(item["units"], item["nano"]) +1368 if blocked > 0: +1369 view["stat"]["blockedCurrencies"][item["currency"]] = blocked +1370 +1371 # how many volume of instruments (by FIGI) are blocked: +1372 for item in view["raw"]["positions"]["securities"]: +1373 blocked = int(item["blocked"]) +1374 if blocked > 0: +1375 view["stat"]["blockedInstruments"][item["figi"]] = blocked +1376 +1377 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} +1378 +1379 if "rub" in allBlocked.keys(): +1380 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles +1381 +1382 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: +1383 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) +1384 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) +1385 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) +1386 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) +1387 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) +1388 view["stat"]["portfolioCostRUB"] = sum([ +1389 view["stat"]["allCurrenciesCostRUB"], +1390 view["stat"]["sharesCostRUB"], +1391 view["stat"]["bondsCostRUB"], +1392 view["stat"]["etfsCostRUB"], +1393 view["stat"]["futuresCostRUB"], +1394 ]) +1395 +1396 # --- calculating some portfolio statistics: +1397 byComp = {} # distribution by companies +1398 bySect = {} # distribution by sectors +1399 byCurr = {} # distribution by currencies (include RUB) +1400 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" +1401 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) +1402 +1403 for item in portfolioResponse["positions"]: +1404 self.figi = item["figi"] +1405 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI +1406 +1407 if instrument: +1408 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): +1409 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency +1410 +1411 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): +1412 blocked = allBlocked[item["figi"]] # blocked volume of other instruments +1413 +1414 else: +1415 blocked = 0 +1416 +1417 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument +1418 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument +1419 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long +1420 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price +1421 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price +1422 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment +1423 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. +1424 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset +1425 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) +1426 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName +1427 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles +1428 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost +1429 +1430 statData = { +1431 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method +1432 "ticker": instrument["ticker"], # ticker by FIGI +1433 "currency": currency, # currency name rub, usd, eur etc. for instrument price +1434 "volume": volume, # available volume of instrument +1435 "lots": lots, # volume in lots of instrument +1436 "direction": direction, # direction of an instrument's position: short or long +1437 "blocked": blocked, # blocked volume of currency or instrument +1438 "currentPrice": curPrice, # current instrument's price in basic asset +1439 "average": average, # current average position price +1440 "cost": cost, # current cost of all volume of instrument in basic asset +1441 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) +1442 "costRUB": costRUB, # cost of instrument in ruble +1443 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB +1444 "profit": profit, # expected profit at current moment +1445 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument +1446 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", +1447 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments +1448 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only +1449 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName +1450 "step": instrument["step"], # minimum price increment +1451 } +1452 +1453 # adding distribution by unique countries: +1454 if statData["country"] not in byCountry.keys(): +1455 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} +1456 +1457 else: +1458 byCountry[statData["country"]]["cost"] += costRUB +1459 byCountry[statData["country"]]["percent"] += percentCostRUB +1460 +1461 if item["instrumentType"] != "currency": +1462 # adding distribution by unique companies: +1463 if statData["name"]: +1464 if statData["name"] not in byComp.keys(): +1465 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} +1466 +1467 else: +1468 byComp[statData["name"]]["cost"] += costRUB +1469 byComp[statData["name"]]["percent"] += percentCostRUB +1470 +1471 # adding distribution by unique sectors: +1472 if statData["sector"] not in bySect.keys(): +1473 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} +1474 +1475 else: +1476 bySect[statData["sector"]]["cost"] += costRUB +1477 bySect[statData["sector"]]["percent"] += percentCostRUB +1478 +1479 # adding distribution by unique currencies: +1480 if currency not in byCurr.keys(): +1481 byCurr[currency] = { +1482 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], +1483 "cost": costRUB, +1484 "percent": percentCostRUB +1485 } +1486 +1487 else: +1488 byCurr[currency]["cost"] += costRUB +1489 byCurr[currency]["percent"] += percentCostRUB +1490 +1491 # saving statistics for every instrument: +1492 if item["instrumentType"] == "currency": +1493 view["stat"]["Currencies"].append(statData) +1494 +1495 # update dict with free funds for trading (total - blocked) by currencies +1496 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1497 view["stat"]["funds"][currency] = { +1498 "total": volume, +1499 "totalCostRUB": costRUB, # total volume cost in rubles +1500 "free": volume - blocked, +1501 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles +1502 } +1503 +1504 elif item["instrumentType"] == "share": +1505 view["stat"]["Shares"].append(statData) +1506 +1507 elif item["instrumentType"] == "bond": +1508 view["stat"]["Bonds"].append(statData) +1509 +1510 elif item["instrumentType"] == "etf": +1511 view["stat"]["Etfs"].append(statData) +1512 +1513 elif item["instrumentType"] == "Futures": +1514 view["stat"]["Futures"].append(statData) +1515 +1516 else: +1517 continue +1518 +1519 # total changes in Russian Ruble: +1520 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies +1521 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. +1522 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) +1523 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost +1524 view["stat"]["funds"]["rub"] = { +1525 "total": view["stat"]["availableRUB"], +1526 "totalCostRUB": view["stat"]["availableRUB"], +1527 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1528 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1529 } +1530 +1531 # --- pending orders sector data: +1532 uniquePendingOrders = [] +1533 uniquePendingOrdersFIGIs = [] +1534 for item in view["raw"]["orders"]: +1535 if item["figi"] not in uniquePendingOrdersFIGIs: +1536 uniquePendingOrdersFIGIs.append(item["figi"]) +1537 uniquePendingOrders.append(item) +1538 +1539 for item in uniquePendingOrders: +1540 self.figi = item["figi"] +1541 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1542 +1543 if instrument: +1544 action = TKS_ORDER_DIRECTIONS[item["direction"]] +1545 orderType = TKS_ORDER_TYPES[item["orderType"]] +1546 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] +1547 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1548 +1549 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1550 if item["direction"] == "ORDER_DIRECTION_BUY": +1551 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1552 +1553 else: +1554 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1555 +1556 # requested price for order execution: +1557 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) +1558 +1559 # necessary changes in percent to reach target from current price: +1560 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1561 +1562 view["stat"]["orders"].append({ +1563 "orderID": item["orderId"], # orderId number parameter of current order +1564 "figi": item["figi"], # FIGI identification +1565 "ticker": instrument["ticker"], # ticker name by FIGI +1566 "lotsRequested": item["lotsRequested"], # requested lots value +1567 "lotsExecuted": item["lotsExecuted"], # how many lots are executed +1568 "currentPrice": lastPrice, # current instrument's price for defined action +1569 "targetPrice": target, # requested price for order execution in base currency +1570 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency +1571 "percentChanges": changes, # changes in percent to target from current price +1572 "currency": item["currency"], # instrument's currency name +1573 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS +1574 "type": orderType, # type of order from TKS_ORDER_TYPES +1575 "status": orderState, # order status from TKS_ORDER_STATES +1576 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) +1577 }) +1578 +1579 # --- stop orders sector data: +1580 uniqueStopOrders = [] +1581 uniqueStopOrdersFIGIs = [] +1582 for item in view["raw"]["stopOrders"]: +1583 if item["figi"] not in uniqueStopOrdersFIGIs: +1584 uniqueStopOrdersFIGIs.append(item["figi"]) +1585 uniqueStopOrders.append(item) +1586 +1587 for item in uniqueStopOrders: +1588 self.figi = item["figi"] +1589 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1590 +1591 if instrument: +1592 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] +1593 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] +1594 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1595 +1596 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order +1597 if "expirationTime" in item.keys(): +1598 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] +1599 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] +1600 +1601 else: +1602 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] +1603 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] +1604 +1605 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1606 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": +1607 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1608 +1609 else: +1610 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1611 +1612 # requested price when stop-order executed: +1613 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) +1614 +1615 # price for limit-order, set up when stop-order executed: +1616 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) +1617 +1618 # necessary changes in percent to reach target from current price: +1619 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1620 +1621 view["stat"]["stopOrders"].append({ +1622 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order +1623 "figi": item["figi"], # FIGI identification +1624 "ticker": instrument["ticker"], # ticker name by FIGI +1625 "lotsRequested": item["lotsRequested"], # requested lots value +1626 "currentPrice": lastPrice, # current instrument's price for defined action +1627 "targetPrice": target, # requested price for stop-order execution in base currency +1628 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order +1629 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency +1630 "percentChanges": changes, # changes in percent to target from current price +1631 "currency": item["currency"], # instrument's currency name +1632 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS +1633 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES +1634 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES +1635 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) +1636 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) +1637 }) +1638 +1639 # --- calculating data for analytics section: +1640 # portfolio distribution by assets: +1641 view["analytics"]["distrByAssets"] = { +1642 "Ruble": { +1643 "uniques": 1, +1644 "cost": view["stat"]["availableRUB"], +1645 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1646 }, +1647 "Currencies": { +1648 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB +1649 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], +1650 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1651 }, +1652 "Shares": { +1653 "uniques": len(view["stat"]["Shares"]), +1654 "cost": view["stat"]["sharesCostRUB"], +1655 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1656 }, +1657 "Bonds": { +1658 "uniques": len(view["stat"]["Bonds"]), +1659 "cost": view["stat"]["bondsCostRUB"], +1660 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1661 }, +1662 "Etfs": { +1663 "uniques": len(view["stat"]["Etfs"]), +1664 "cost": view["stat"]["etfsCostRUB"], +1665 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1666 }, +1667 "Futures": { +1668 "uniques": len(view["stat"]["Futures"]), +1669 "cost": view["stat"]["futuresCostRUB"], +1670 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1671 }, +1672 } +1673 +1674 # portfolio distribution by companies: +1675 view["analytics"]["distrByCompanies"]["All money cash"] = { +1676 "ticker": "", +1677 "cost": view["stat"]["allCurrenciesCostRUB"], +1678 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1679 } +1680 view["analytics"]["distrByCompanies"].update(byComp) +1681 +1682 # portfolio distribution by sectors: +1683 view["analytics"]["distrBySectors"]["All money cash"] = { +1684 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], +1685 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], +1686 } +1687 view["analytics"]["distrBySectors"].update(bySect) +1688 +1689 # portfolio distribution by currencies: +1690 view["analytics"]["distrByCurrencies"].update(byCurr) +1691 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] +1692 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] +1693 +1694 # portfolio distribution by countries: +1695 view["analytics"]["distrByCountries"].update(byCountry) +1696 +1697 # --- Prepare text statistics overview in human-readable: +1698 if showStatistics: +1699 # Whatever the value `details`, header not changes: +1700 info = [ +1701 "# Client's portfolio\n\n", +1702 "* **Actual date:** [{} UTC]\n" +1703 "".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), +1704 ] +1705 +1706 if details in ["full", "positions", "digest"]: +1707 info.extend([ +1708 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1709 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( +1710 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1711 view["stat"]["totalChangesRUB"], +1712 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1713 view["stat"]["totalChangesPercentRUB"], +1714 ), +1715 ]) +1716 +1717 if details in ["full", "positions"]: +1718 info.extend([ +1719 "## Open positions\n\n", +1720 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%) |\n", +1721 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|------------------------------|\n", +1722 "| Ruble | {:>31} | | | | | |\n".format( +1723 "{:.2f} ({:.2f}) rub".format( +1724 view["stat"]["availableRUB"], +1725 view["stat"]["blockedRUB"], +1726 ) +1727 ) +1728 ]) +1729 +1730 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: +1731 return [ +1732 "| | | | | | | |\n", +1733 "| {:<27} | | | | | {:>19} | |\n".format( +1734 noTradeStr if noTradeStr else typeStr, +1735 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), +1736 ), +1737 ] +1738 +1739 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: +1740 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {:<28} |\n".format( +1741 "{} [{}]".format(data["ticker"], data["figi"]), +1742 "{:.2f} ({:.2f}) {}".format( +1743 data["volume"], +1744 data["blocked"], +1745 data["currency"], +1746 ) if showCurrencyName else "{:.0f} ({:.0f})".format( +1747 data["volume"], +1748 data["blocked"], +1749 ), +1750 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), +1751 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", +1752 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", +1753 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), +1754 "{}{:.2f} {} ({}{:.2f}%)".format( +1755 "+" if data["profit"] > 0 else "", +1756 data["profit"], data["baseCurrencyName"], +1757 "+" if data["percentProfit"] > 0 else "", +1758 data["percentProfit"], +1759 ), +1760 ) +1761 +1762 # --- Show currencies section: +1763 if view["stat"]["Currencies"]: +1764 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) +1765 for item in view["stat"]["Currencies"]: +1766 info.append(_InfoStr(item, showCurrencyName=True)) +1767 +1768 else: +1769 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) +1770 +1771 # --- Show shares section: +1772 if view["stat"]["Shares"]: +1773 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) +1774 +1775 for item in view["stat"]["Shares"]: +1776 info.append(_InfoStr(item)) +1777 +1778 else: +1779 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) +1780 +1781 # --- Show bonds section: +1782 if view["stat"]["Bonds"]: +1783 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) +1784 +1785 for item in view["stat"]["Bonds"]: +1786 info.append(_InfoStr(item)) +1787 +1788 else: +1789 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) +1790 +1791 # --- Show etfs section: +1792 if view["stat"]["Etfs"]: +1793 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) +1794 +1795 for item in view["stat"]["Etfs"]: +1796 info.append(_InfoStr(item)) +1797 +1798 else: +1799 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) +1800 +1801 # --- Show futures section: +1802 if view["stat"]["Futures"]: +1803 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) +1804 +1805 for item in view["stat"]["Futures"]: +1806 info.append(_InfoStr(item)) +1807 +1808 else: +1809 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) +1810 +1811 if details in ["full", "orders"]: +1812 # --- Show pending orders section: +1813 if view["stat"]["orders"]: +1814 info.extend([ +1815 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), +1816 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC) |\n", +1817 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|-------------------------|\n", +1818 ]) +1819 +1820 for item in view["stat"]["orders"]: +1821 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {:<23} |\n".format( +1822 "{} [{}]".format(item["ticker"], item["figi"]), +1823 item["orderID"], +1824 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), +1825 "{} {} ({}{:.2f}%)".format( +1826 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1827 item["baseCurrencyName"], +1828 "+" if item["percentChanges"] > 0 else "", +1829 float(item["percentChanges"]), +1830 ), +1831 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1832 item["action"], +1833 item["type"], +1834 item["date"], +1835 )) +1836 +1837 else: +1838 info.append("\n## Total pending limit-orders: 0\n") +1839 +1840 # --- Show stop orders section: +1841 if view["stat"]["stopOrders"]: +1842 info.extend([ +1843 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), +1844 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC) |\n", +1845 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------|\n", +1846 ]) +1847 +1848 for item in view["stat"]["stopOrders"]: +1849 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {:<19} |\n".format( +1850 "{} [{}]".format(item["ticker"], item["figi"]), +1851 item["orderID"], +1852 item["lotsRequested"], +1853 "{} {} ({}{:.2f}%)".format( +1854 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1855 item["baseCurrencyName"], +1856 "+" if item["percentChanges"] > 0 else "", +1857 float(item["percentChanges"]), +1858 ), +1859 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1860 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], +1861 item["action"], +1862 item["type"], +1863 item["expType"], +1864 item["createDate"], +1865 item["expDate"], +1866 )) +1867 +1868 else: +1869 info.append("\n## Total stop-orders: 0\n") +1870 +1871 if details in ["full", "analytics"]: +1872 # -- Show analytics section: +1873 if view["stat"]["portfolioCostRUB"] > 0: +1874 info.extend([ +1875 "\n# Analytics\n" +1876 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1877 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( +1878 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1879 view["stat"]["totalChangesRUB"], +1880 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1881 view["stat"]["totalChangesPercentRUB"], +1882 ), +1883 "\n## Portfolio distribution by assets\n" +1884 "\n| Type | Uniques | Percent | Current cost |\n", +1885 "|------------|---------|---------|--------------------|\n", +1886 ]) +1887 +1888 for key in view["analytics"]["distrByAssets"].keys(): +1889 if view["analytics"]["distrByAssets"][key]["cost"] > 0: +1890 info.append("| {:<10} | {:<7} | {:<7} | {:<18} |\n".format( +1891 key, +1892 view["analytics"]["distrByAssets"][key]["uniques"], +1893 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), +1894 "{:.2f} rub".format(view["analytics"]["distrByAssets"][key]["cost"]), +1895 )) +1896 +1897 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) +1898 info.extend([ +1899 "\n## Portfolio distribution by companies\n" +1900 "\n| Company{} | Percent | Current cost |\n".format(" " * (maxLenNames - 7)), +1901 "|--------{}-|---------|--------------------|\n".format("-" * (maxLenNames - 7)), +1902 ]) +1903 +1904 for company in view["analytics"]["distrByCompanies"].keys(): +1905 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: +1906 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) +1907 info.append("| {} | {:<7} | {:<18} |\n".format( +1908 "{}{}{}".format( +1909 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", +1910 company, +1911 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), +1912 ), +1913 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), +1914 "{:.2f} rub".format(view["analytics"]["distrByCompanies"][company]["cost"]), +1915 )) +1916 +1917 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) +1918 info.extend([ +1919 "\n## Portfolio distribution by sectors\n" +1920 "\n| Sector{} | Percent | Current cost |\n".format(" " * (maxLenSectors - 6)), +1921 "|-------{}-|---------|--------------------|\n".format("-" * (maxLenSectors - 6)), +1922 ]) +1923 +1924 for sector in view["analytics"]["distrBySectors"].keys(): +1925 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: +1926 info.append("| {}{} | {:<7} | {:<18} |\n".format( +1927 sector, +1928 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), +1929 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), +1930 "{:.2f} rub".format(view["analytics"]["distrBySectors"][sector]["cost"]), +1931 )) +1932 +1933 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) +1934 info.extend([ +1935 "\n## Portfolio distribution by currencies\n" +1936 "\n| Instruments currencies{} | Percent | Current cost |\n".format(" " * (maxLenMoney - 22)), +1937 "|-----------------------{}-|---------|--------------------|\n".format("-" * (maxLenMoney - 22)), +1938 ]) +1939 +1940 for curr in view["analytics"]["distrByCurrencies"].keys(): +1941 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: +1942 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) +1943 info.append("| {} | {:<7} | {:<18} |\n".format( +1944 "[{}] {}{}".format( +1945 curr, +1946 view["analytics"]["distrByCurrencies"][curr]["name"], +1947 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), +1948 ), +1949 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), +1950 "{:.2f} rub".format(view["analytics"]["distrByCurrencies"][curr]["cost"]), +1951 )) +1952 +1953 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) +1954 info.extend([ +1955 "\n## Portfolio distribution by countries\n" +1956 "\n| Assets by country{} | Percent | Current cost |\n".format(" " * (maxLenCountry - 17)), +1957 "|------------------{}-|---------|--------------------|\n".format("-" * (maxLenCountry - 17)), +1958 ]) +1959 +1960 for country in view["analytics"]["distrByCountries"].keys(): +1961 if view["analytics"]["distrByCountries"][country]["cost"] > 0: +1962 nameLen = len(country) +1963 info.append("| {} | {:<7} | {:<18} |\n".format( +1964 "{}{}".format( +1965 country, +1966 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), +1967 ), +1968 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), +1969 "{:.2f} rub".format(view["analytics"]["distrByCountries"][country]["cost"]), +1970 )) +1971 +1972 infoText = "".join(info) +1973 +1974 if showStatistics: +1975 uLogger.info(infoText) +1976 +1977 if details == "full" and self.overviewFile: +1978 filename = self.overviewFile +1979 +1980 elif details == "digest" and self.overviewDigestFile: +1981 filename = self.overviewDigestFile +1982 +1983 elif details == "positions" and self.overviewPositionsFile: +1984 filename = self.overviewPositionsFile +1985 +1986 elif details == "orders" and self.overviewOrdersFile: +1987 filename = self.overviewOrdersFile +1988 +1989 elif details == "analytics" and self.overviewAnalyticsFile: +1990 filename = self.overviewAnalyticsFile +1991 +1992 else: +1993 filename = "" +1994 +1995 if filename: +1996 with open(filename, "w", encoding="UTF-8") as fH: +1997 fH.write(infoText) +1998 +1999 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(filename))) +2000 +2001 return view +2002 +2003 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: +2004 """ +2005 Returns history operations between two given dates. +2006 If `reportFile` string is not empty then also save human-readable report. +2007 Shows some statistical data of closed positions. +2008 +2009 :param start: see docstring in `GetDatesAsString()` method +2010 :param end: see docstring in `GetDatesAsString()` method +2011 :param printDeals: if `True` then also prints all records to the console. +2012 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. +2013 :return: original list of dictionaries with history of deals records from API ("operations" key): +2014 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2015 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. +2016 """ +2017 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2018 +2019 uLogger.debug("Requesting history of a client's operations. Wait, please...") +2020 +2021 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2022 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" +2023 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) +2024 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker +2025 customStat = {} # custom statistics in additional to responseJSON +2026 +2027 # --- output report in human-readable format: +2028 if printDeals or self.reportFile: +2029 splitLine1 = "| | | | | |\n" # Summary section +2030 splitLine2 = "| | | | | | | | |\n" # Operations section +2031 nextDay = "" +2032 +2033 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] +2034 +2035 if len(ops) > 0: +2036 customStat = { +2037 "opsCount": 0, # total operations count +2038 "buyCount": 0, # buy operations +2039 "sellCount": 0, # sell operations +2040 "buyTotal": {"rub": 0.}, # Buy sums in different currencies +2041 "sellTotal": {"rub": 0.}, # Sell sums in different currencies +2042 "payIn": {"rub": 0.}, # Deposit brokerage account +2043 "payOut": {"rub": 0.}, # Withdrawals +2044 "divs": {"rub": 0.}, # Dividends income +2045 "coupons": {"rub": 0.}, # Coupon's income +2046 "brokerCom": {"rub": 0.}, # Service commissions +2047 "serviceCom": {"rub": 0.}, # Service commissions +2048 "marginCom": {"rub": 0.}, # Margin commissions +2049 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections +2050 } +2051 +2052 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: +2053 for item in ops: +2054 if item["state"] == "OPERATION_STATE_EXECUTED": +2055 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2056 +2057 # count buy operations: +2058 if "_BUY" in item["operationType"]: +2059 customStat["buyCount"] += 1 +2060 +2061 if item["payment"]["currency"] in customStat["buyTotal"].keys(): +2062 customStat["buyTotal"][item["payment"]["currency"]] += payment +2063 +2064 else: +2065 customStat["buyTotal"][item["payment"]["currency"]] = payment +2066 +2067 # count sell operations: +2068 elif "_SELL" in item["operationType"]: +2069 customStat["sellCount"] += 1 +2070 +2071 if item["payment"]["currency"] in customStat["sellTotal"].keys(): +2072 customStat["sellTotal"][item["payment"]["currency"]] += payment +2073 +2074 else: +2075 customStat["sellTotal"][item["payment"]["currency"]] = payment +2076 +2077 # count incoming operations: +2078 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: +2079 if item["payment"]["currency"] in customStat["payIn"].keys(): +2080 customStat["payIn"][item["payment"]["currency"]] += payment +2081 +2082 else: +2083 customStat["payIn"][item["payment"]["currency"]] = payment +2084 +2085 # count withdrawals operations: +2086 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: +2087 if item["payment"]["currency"] in customStat["payOut"].keys(): +2088 customStat["payOut"][item["payment"]["currency"]] += payment +2089 +2090 else: +2091 customStat["payOut"][item["payment"]["currency"]] = payment +2092 +2093 # count dividends income: +2094 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: +2095 if item["payment"]["currency"] in customStat["divs"].keys(): +2096 customStat["divs"][item["payment"]["currency"]] += payment +2097 +2098 else: +2099 customStat["divs"][item["payment"]["currency"]] = payment +2100 +2101 # count coupon's income: +2102 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: +2103 if item["payment"]["currency"] in customStat["coupons"].keys(): +2104 customStat["coupons"][item["payment"]["currency"]] += payment +2105 +2106 else: +2107 customStat["coupons"][item["payment"]["currency"]] = payment +2108 +2109 # count broker commissions: +2110 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: +2111 if item["payment"]["currency"] in customStat["brokerCom"].keys(): +2112 customStat["brokerCom"][item["payment"]["currency"]] += payment +2113 +2114 else: +2115 customStat["brokerCom"][item["payment"]["currency"]] = payment +2116 +2117 # count service commissions: +2118 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: +2119 if item["payment"]["currency"] in customStat["serviceCom"].keys(): +2120 customStat["serviceCom"][item["payment"]["currency"]] += payment +2121 +2122 else: +2123 customStat["serviceCom"][item["payment"]["currency"]] = payment +2124 +2125 # count margin commissions: +2126 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: +2127 if item["payment"]["currency"] in customStat["marginCom"].keys(): +2128 customStat["marginCom"][item["payment"]["currency"]] += payment +2129 +2130 else: +2131 customStat["marginCom"][item["payment"]["currency"]] = payment +2132 +2133 # count withholding taxes: +2134 elif "_TAX" in item["operationType"]: +2135 if item["payment"]["currency"] in customStat["allTaxes"].keys(): +2136 customStat["allTaxes"][item["payment"]["currency"]] += payment +2137 +2138 else: +2139 customStat["allTaxes"][item["payment"]["currency"]] = payment +2140 +2141 else: +2142 continue +2143 +2144 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] +2145 +2146 # --- view "Actions" lines: +2147 info.extend([ +2148 "| 1 | 2 | 3 | 4 | 5 |\n", +2149 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------|\n", +2150 "| **Actions:** | Trades: {:<21} | Trading volumes: | | |\n".format(customStat["opsCount"]), +2151 "| | Buy: {:<22} | {:<28} | | |\n".format( +2152 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2153 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", +2154 ), +2155 "| | Sell: {:<21} | {:<28} | | |\n".format( +2156 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2157 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", +2158 ), +2159 ]) +2160 +2161 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) +2162 for key in opsKeys: +2163 if key == "rub": +2164 continue +2165 +2166 info.extend([ +2167 "| | | {:<28} | | |\n".format( +2168 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) +2169 ), +2170 "| | | {:<28} | | |\n".format( +2171 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) +2172 ), +2173 ]) +2174 +2175 info.append(splitLine1) +2176 +2177 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: +2178 return "| | {:<29} | {:<28} | {:<20} | {:<22} |\n".format( +2179 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", +2180 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", +2181 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", +2182 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", +2183 ) +2184 +2185 # --- view "Payments" lines: +2186 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income: |\n") +2187 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) +2188 +2189 for key in paymentsKeys: +2190 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) +2191 +2192 info.append(splitLine1) +2193 +2194 # --- view "Commissions and taxes" lines: +2195 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections: |\n") +2196 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) +2197 +2198 for key in comKeys: +2199 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) +2200 +2201 info.append(splitLine1) +2202 +2203 info.extend([ +2204 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), +2205 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type |\n", +2206 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------|\n", +2207 ]) +2208 +2209 else: +2210 info.append("Broker returned no operations during this period\n") +2211 +2212 # --- view "Operations" section: +2213 for item in ops: +2214 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: +2215 continue +2216 +2217 else: +2218 self.figi = item["figi"] if item["figi"] else "" +2219 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2220 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} +2221 +2222 # group of deals during one day: +2223 if nextDay and item["date"].split("T")[0] != nextDay: +2224 info.append(splitLine2) +2225 nextDay = "" +2226 +2227 else: +2228 nextDay = item["date"].split("T")[0] # saving current day for splitting +2229 +2230 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {:<66} |\n".format( +2231 item["date"].replace("T", " ").replace("Z", "").split(".")[0], +2232 self.figi if self.figi else "—", +2233 instrument["ticker"] if instrument else "—", +2234 instrument["type"] if instrument else "—", +2235 item["quantity"] if int(item["quantity"]) > 0 else "—", +2236 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", +2237 TKS_OPERATION_STATES[item["state"]], +2238 TKS_OPERATION_TYPES[item["operationType"]], +2239 )) +2240 +2241 infoText = "".join(info) +2242 +2243 if printDeals: +2244 uLogger.info(infoText) +2245 +2246 if self.reportFile: +2247 with open(self.reportFile, "w", encoding="UTF-8") as fH: +2248 fH.write(infoText) +2249 +2250 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) +2251 +2252 return ops, customStat +2253 +2254 def History(self, start: str = None, end: str = None, interval: str = "hour", onlyMissing: bool = False, +2255 csvSep: str = ",", printCandles: bool = False, +2256 ) -> pd.DataFrame: +2257 """ +2258 This method returns last history candles of the current instrument defined by `ticker` or `figi` (FIGI id). +2259 +2260 History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. +2261 Warning! Broker server used ISO UTC time by default. +2262 +2263 If `historyFile` is not `None` then method save history to file, otherwise return only pandas dataframe. +2264 Also, `historyFile` used to update history with `onlyMissing` parameter. +2265 +2266 :param start: see docstring in `GetDatesAsString()` method. +2267 :param end: see docstring in `GetDatesAsString()` method. +2268 :param interval: this is a candle interval. Current available values are `"1min"`, `"5min"`, `"15min"`, +2269 `"hour"`, `"day"`. Default: `"hour"`. +2270 :param onlyMissing: if `True` then add only last missing candles, do not request all history length from `start`. +2271 False by default. Warning! History appends only from last candle to current time +2272 with always update last candle! +2273 :param csvSep: separator if .csv-file is used, `,` by default. +2274 :param printCandles: if `True` then also prints pandas dataframe to the console. +2275 :return: pandas dataframe with prices history. Headers of columns are defined by default: +2276 `["date", "time", "open", "high", "low", "close", "volume"]`. +2277 """ +2278 strStartDate, strEndDate = GetDatesAsString(start, end) # example: ("2020-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2279 headers = ["date", "time", "open", "high", "low", "close", "volume"] # sequence and names of column headers +2280 history = None # empty pandas object for history +2281 +2282 if interval not in TKS_CANDLE_INTERVALS.keys(): +2283 raise Exception("Interval parameter must be string with current available values: `1min`, `5min`, `15min`, `hour` and `day`.") +2284 +2285 if not (self.ticker or self.figi): +2286 raise Exception("Ticker or FIGI must be defined!") +2287 +2288 if self.ticker and not self.figi: +2289 instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) +2290 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" +2291 +2292 if self.figi and not self.ticker: +2293 instrumentByFIGI = self.SearchByFIGI(requestPrice=False, debug=False) +2294 self.ticker = instrumentByFIGI["ticker"] if instrumentByFIGI else "" +2295 +2296 dtStart = datetime.strptime(strStartDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from start time string +2297 dtEnd = datetime.strptime(strEndDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from end time string +2298 if interval.lower() != "day": +2299 dtEnd += timedelta(seconds=1) # adds 1 sec for requests, because day end returned by `GetDatesAsString()` as 23:59:59 +2300 +2301 delta = dtEnd - dtStart # current UTC time minus last time in file +2302 deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between start and end dates +2303 +2304 # calculate history length in candles: +2305 length = deltaMinutes // TKS_CANDLE_INTERVALS[interval][1] +2306 if deltaMinutes % TKS_CANDLE_INTERVALS[interval][1] > 0: +2307 length += 1 # to avoid fraction time +2308 +2309 # calculate data blocks count: +2310 blocks = 1 if length < TKS_CANDLE_INTERVALS[interval][2] else 1 + length // TKS_CANDLE_INTERVALS[interval][2] +2311 +2312 uLogger.debug("Original requested time period in local time: from [{}] to [{}]".format(start, end)) +2313 uLogger.debug("Requested time period is about from [{}] UTC to [{}] UTC".format(strStartDate, strEndDate)) +2314 uLogger.debug("Calculated history length: [{}], interval: [{}]".format(length, interval)) +2315 uLogger.debug("Data blocks, count: [{}], max candles in block: [{}]".format(blocks, TKS_CANDLE_INTERVALS[interval][2])) +2316 uLogger.debug("Requesting history candlesticks, ticker: [{}], FIGI: [{}]. Wait, please...".format(self.ticker, self.figi)) +2317 +2318 tempOld = None # pandas object for old history, if --only-missing key present +2319 lastTime = None # datetime object of last old candle in file +2320 +2321 if onlyMissing and self.historyFile is not None and self.historyFile and os.path.exists(self.historyFile): +2322 uLogger.debug("--only-missing key present, add only last missing candles...") +2323 uLogger.debug("History file will be updated: [{}]".format(os.path.abspath(self.historyFile))) +2324 +2325 tempOld = pd.read_csv(self.historyFile, sep=csvSep, header=None, names=headers) +2326 +2327 tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" +2328 tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string +2329 tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" +2330 tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string +2331 +2332 # get last datetime object from last string in file or minus 1 delta if file is empty: +2333 if len(tempOld) > 0: +2334 lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2335 +2336 else: +2337 lastTime = dtEnd - timedelta(days=1) # history file is empty, so last date set at -1 day +2338 +2339 tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time +2340 +2341 responseJSONs = [] # raw history blocks of data +2342 +2343 blockEnd = dtEnd +2344 for item in range(blocks): +2345 tail = length % TKS_CANDLE_INTERVALS[interval][2] if item + 1 == blocks else TKS_CANDLE_INTERVALS[interval][2] +2346 blockStart = blockEnd - timedelta(minutes=TKS_CANDLE_INTERVALS[interval][1] * tail) +2347 +2348 uLogger.debug("[Block #{}/{}] time period: [{}] UTC - [{}] UTC".format( +2349 item + 1, blocks, blockStart.strftime(TKS_DATE_TIME_FORMAT), blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2350 )) +2351 +2352 if blockStart == blockEnd: +2353 uLogger.debug("Skipped this zero-length block...") +2354 +2355 else: +2356 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles +2357 historyURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetCandles" +2358 self.body = str({ +2359 "figi": self.figi, +2360 "from": blockStart.strftime(TKS_DATE_TIME_FORMAT), +2361 "to": blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2362 "interval": TKS_CANDLE_INTERVALS[interval][0] +2363 }) +2364 responseJSON = self.SendAPIRequest(historyURL, reqType="POST", retry=1, pause=1, debug=False) +2365 +2366 if "code" in responseJSON.keys(): +2367 uLogger.debug("An issue occurred and block #{}/{} is empty".format(item + 1, blocks)) +2368 +2369 else: +2370 if (start.lower() == "yesterday" or start == end) and interval == "day" and len(responseJSON["candles"]) > 1: +2371 responseJSON["candles"] = responseJSON["candles"][:-1] # removes last candle for "yesterday" request +2372 +2373 responseJSONs = responseJSON["candles"] + responseJSONs # add more old history behind newest dates +2374 +2375 blockEnd = blockStart +2376 +2377 printCount = len(responseJSONs) # candles to show in console +2378 if responseJSONs: +2379 tempHistory = pd.DataFrame( +2380 data={ +2381 "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2382 "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2383 "open": [NanoToFloat(item["open"]["units"], item["open"]["nano"]) for item in responseJSONs], +2384 "high": [NanoToFloat(item["high"]["units"], item["high"]["nano"]) for item in responseJSONs], +2385 "low": [NanoToFloat(item["low"]["units"], item["low"]["nano"]) for item in responseJSONs], +2386 "close": [NanoToFloat(item["close"]["units"], item["close"]["nano"]) for item in responseJSONs], +2387 "volume": [int(item["volume"]) for item in responseJSONs], +2388 }, +2389 index=range(len(responseJSONs)), +2390 columns=["date", "time", "open", "high", "low", "close", "volume"], +2391 ) +2392 tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") +2393 tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") +2394 +2395 # append only newest candles to old history if --only-missing key present: +2396 if onlyMissing and tempOld is not None and lastTime is not None: +2397 index = 0 # find start index in tempHistory data: +2398 +2399 for i, item in tempHistory.iterrows(): +2400 curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2401 +2402 if curTime == lastTime: +2403 uLogger.debug("History will be updated starting from the date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) +2404 index = i +2405 printCount = index + 1 +2406 break +2407 +2408 history = pd.concat([tempOld, tempHistory[index:]], ignore_index=True) +2409 +2410 else: +2411 history = tempHistory # if no `--only-missing` key then load full data from server +2412 +2413 uLogger.debug("Last 3 rows of received history:\n{}".format(pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], max_cols=20, index=False))) +2414 +2415 if printCandles and history is not None and not history.empty: +2416 uLogger.info("Here's requested history between [{}] UTC and [{}] UTC, not-empty candles count: [{}]\n{}".format( +2417 strStartDate.replace("T", " ").replace("Z", ""), strEndDate.replace("T", " ").replace("Z", ""), len(history[-printCount:]), +2418 pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-printCount:], max_cols=20, index=False), +2419 )) +2420 +2421 if self.historyFile is not None: +2422 if history is not None and not history.empty: +2423 history.to_csv(self.historyFile, sep=csvSep, index=False, header=None) +2424 uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format(self.ticker, self.figi, interval, os.path.abspath(self.historyFile))) +2425 +2426 else: +2427 uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) +2428 +2429 else: +2430 uLogger.debug("--output key is not defined. Parsed history file not saved to file, only pandas dataframe returns.") +2431 +2432 return history +2433 +2434 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2435 """ +2436 Universal method to create market order and make deal at the current price. Returns JSON data with response. +2437 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2438 +2439 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. +2440 +2441 :param operation: string "Buy" or "Sell". +2442 :param lots: volume, integer count of lots >= 1. +2443 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. +2444 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. +2445 :param expDate: string "Undefined" by default or local date in future, +2446 it is a string with format `%Y-%m-%d %H:%M:%S`. +2447 :return: JSON with response from broker server. +2448 """ +2449 if operation is None or not operation or operation not in ("Buy", "Sell"): +2450 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2451 +2452 if lots is None or lots < 1: +2453 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") +2454 lots = 1 +2455 +2456 if tp is None or tp < 0: +2457 tp = 0 +2458 +2459 if sl is None or sl < 0: +2460 sl = 0 +2461 +2462 if expDate is None or not expDate: +2463 expDate = "Undefined" +2464 +2465 if not (self.ticker or self.figi): +2466 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2467 +2468 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2469 self.ticker = instrument["ticker"] +2470 self.figi = instrument["figi"] +2471 +2472 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) +2473 +2474 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2475 self.body = str({ +2476 "figi": self.figi, +2477 "quantity": str(lots), +2478 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2479 "accountId": str(self.accountId), +2480 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES +2481 }) +2482 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) +2483 +2484 if "orderId" in response.keys(): +2485 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( +2486 operation, response["orderId"], +2487 self.ticker, self.figi, lots, +2488 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], +2489 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], +2490 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], +2491 )) +2492 +2493 else: +2494 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") +2495 +2496 if tp > 0: +2497 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) +2498 +2499 if sl > 0: +2500 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) +2501 +2502 return response +2503 +2504 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2505 """ +2506 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. +2507 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2508 +2509 See also: `Order()` and `Trade()` docstrings. +2510 +2511 :param lots: volume, integer count of lots >= 1. +2512 :param tp: float > 0, take profit price of stop-order. +2513 :param sl: float > 0, stop loss price of stop-order. +2514 :param expDate: it's a local date in future. +2515 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2516 :return: JSON with response from broker server. +2517 """ +2518 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate) +2519 +2520 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2521 """ +2522 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. +2523 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2524 +2525 See also: `Order()` and `Trade()` docstrings. +2526 +2527 :param lots: volume, integer count of lots >= 1. +2528 :param tp: float > 0, take profit price of stop-order. +2529 :param sl: float > 0, stop loss price of stop-order. +2530 :param expDate: it's a local date in future. +2531 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2532 :return: JSON with response from broker server. +2533 """ +2534 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate) +2535 +2536 def CloseTrades(self, tickers: list, overview: dict = None) -> None: +2537 """ +2538 Close position of given instruments. +2539 +2540 :param tickers: tickers list of instruments that must be closed. +2541 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2542 This avoids unnecessary downloading data from the server. +2543 """ +2544 if not tickers: +2545 uLogger.info("Tickers list is empty, nothing to close.") +2546 +2547 else: +2548 if overview is None or not overview: +2549 overview = self.Overview(showStatistics=False) +2550 +2551 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] +2552 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) +2553 +2554 for ticker in tickers: +2555 if ticker not in allOpenedTickers: +2556 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) +2557 continue +2558 +2559 # search open trade info about instrument by ticker: +2560 instrument = {} +2561 for iType in TKS_INSTRUMENTS: +2562 if instrument: +2563 break +2564 +2565 for item in overview["stat"][iType]: +2566 if item["ticker"] == ticker: +2567 instrument = item +2568 break +2569 +2570 if instrument: +2571 self.ticker = ticker +2572 self.figi = instrument["figi"] +2573 +2574 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( +2575 self.ticker, +2576 self.figi, +2577 int(instrument["volume"]), +2578 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", +2579 )) +2580 +2581 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation +2582 +2583 if tradeLots > 0: +2584 if instrument["blocked"] > 0: +2585 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( +2586 instrument["blocked"], +2587 self.ticker, +2588 tradeLots, +2589 )) +2590 +2591 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: +2592 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) +2593 +2594 else: +2595 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker)) +2596 +2597 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: +2598 """ +2599 Close all positions of given instruments with defined type. +2600 +2601 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. +2602 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2603 This avoids unnecessary downloading data from the server. +2604 """ +2605 if iType not in TKS_INSTRUMENTS: +2606 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) +2607 +2608 else: +2609 if overview is None or not overview: +2610 overview = self.Overview(showStatistics=False) +2611 +2612 tickers = [item["ticker"] for item in overview["stat"][iType]] +2613 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) +2614 +2615 if tickers and overview: +2616 self.CloseTrades(tickers, overview) +2617 +2618 else: +2619 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType)) +2620 +2621 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2622 """ +2623 Universal method to create market or limit orders with all available parameters. +2624 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. +2625 +2626 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above +2627 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. +2628 +2629 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" +2630 then broker immediately open market order as you can do simple --buy or --sell operations! +2631 +2632 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". +2633 When current price will go up or down to target price value then broker opens a limit order. +2634 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. +2635 +2636 Only one attempt and no retry for opens order. If network issue occurred you can create new request. +2637 +2638 :param operation: string "Buy" or "Sell". +2639 :param orderType: string "Limit" or "Stop". +2640 :param lots: volume, integer count of lots >= 1. +2641 :param targetPrice: target price > 0. This is open trade price for limit order. +2642 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. +2643 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. +2644 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types +2645 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2646 Stop loss order always executed by market price. +2647 :param expDate: string "Undefined" by default or local date in future. +2648 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2649 This date is converting to UTC format for server. This parameter only makes sense for stop-order. +2650 A limit order has no expiration date, it lasts until the end of the trading day. +2651 :return: JSON with response from broker server. +2652 """ +2653 if operation is None or not operation or operation not in ("Buy", "Sell"): +2654 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2655 +2656 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): +2657 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") +2658 +2659 if lots is None or lots < 1: +2660 raise Exception("You must define trade volume > 0: integer count of lots!") +2661 +2662 if targetPrice is None or targetPrice <= 0: +2663 raise Exception("Target price for limit-order must be greater than 0!") +2664 +2665 if limitPrice is None or limitPrice <= 0: +2666 limitPrice = targetPrice +2667 +2668 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): +2669 stopType = "Limit" +2670 +2671 if expDate is None or not expDate: +2672 expDate = "Undefined" +2673 +2674 if not (self.ticker or self.figi): +2675 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2676 +2677 response = {} +2678 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2679 self.ticker = instrument["ticker"] +2680 self.figi = instrument["figi"] +2681 +2682 if orderType == "Limit": +2683 uLogger.debug( +2684 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( +2685 self.ticker, self.figi, +2686 operation, lots, targetPrice, instrument["currency"], +2687 )) +2688 +2689 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2690 self.body = str({ +2691 "figi": self.figi, +2692 "quantity": str(lots), +2693 "price": FloatToNano(targetPrice), +2694 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2695 "accountId": str(self.accountId), +2696 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES +2697 }) +2698 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2699 +2700 if "orderId" in response.keys(): +2701 uLogger.info( +2702 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( +2703 response["orderId"], +2704 self.ticker, self.figi, +2705 operation, lots, targetPrice, instrument["currency"], +2706 )) +2707 +2708 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2709 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: +2710 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( +2711 targetPrice, instrument["currency"], +2712 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2713 )) +2714 +2715 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: +2716 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( +2717 targetPrice, instrument["currency"], +2718 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2719 )) +2720 +2721 else: +2722 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") +2723 +2724 if orderType == "Stop": +2725 uLogger.debug( +2726 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( +2727 self.ticker, self.figi, +2728 operation, lots, +2729 targetPrice, instrument["currency"], +2730 limitPrice, instrument["currency"], +2731 stopType, expDate, +2732 )) +2733 +2734 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" +2735 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") +2736 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" +2737 +2738 body = { +2739 "figi": self.figi, +2740 "quantity": str(lots), +2741 "price": FloatToNano(limitPrice), +2742 "stopPrice": FloatToNano(targetPrice), +2743 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS +2744 "accountId": str(self.accountId), +2745 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES +2746 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES +2747 } +2748 +2749 if expDateUTC: +2750 body["expireDate"] = expDateUTC +2751 +2752 self.body = str(body) +2753 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2754 +2755 if "stopOrderId" in response.keys(): +2756 uLogger.info( +2757 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( +2758 response["stopOrderId"], +2759 self.ticker, self.figi, +2760 operation, lots, +2761 targetPrice, instrument["currency"], +2762 limitPrice, instrument["currency"], +2763 TKS_STOP_ORDER_TYPES[stopOrderType], +2764 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], +2765 )) +2766 +2767 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2768 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2769 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2770 targetPrice, instrument["currency"], +2771 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2772 )) +2773 +2774 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2775 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2776 targetPrice, instrument["currency"], +2777 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2778 )) +2779 +2780 else: +2781 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") +2782 +2783 return response +2784 +2785 def BuyLimit(self, lots: int, targetPrice: float) -> dict: +2786 """ +2787 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: +2788 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then +2789 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! +2790 See also: `Order()` docstring. +2791 +2792 :param lots: volume, integer count of lots >= 1. +2793 :param targetPrice: target price > 0. This is open trade price for limit order. +2794 :return: JSON with response from broker server. +2795 """ +2796 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice) +2797 +2798 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2799 """ +2800 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. +2801 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2802 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2803 target price value then broker opens a limit order. See also: `Order()` docstring. +2804 +2805 :param lots: volume, integer count of lots >= 1. +2806 :param targetPrice: target price > 0. This is trigger price for buy stop-order. +2807 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2808 with price equal to limitPrice, when current price goes to target price of buy stop-order. +2809 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2810 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2811 :param expDate: string "Undefined" by default or local date in future. +2812 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2813 This date is converting to UTC format for server. +2814 :return: JSON with response from broker server. +2815 """ +2816 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +2817 +2818 def SellLimit(self, lots: int, targetPrice: float) -> dict: +2819 """ +2820 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: +2821 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then +2822 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! +2823 See also: `Order()` docstring. +2824 +2825 :param lots: volume, integer count of lots >= 1. +2826 :param targetPrice: target price > 0. This is open trade price for limit order. +2827 :return: JSON with response from broker server. +2828 """ +2829 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice) +2830 +2831 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2832 """ +2833 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. +2834 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2835 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2836 target price value then broker opens a limit order. See also: `Order()` docstring. +2837 +2838 :param lots: volume, integer count of lots >= 1. +2839 :param targetPrice: target price > 0. This is trigger price for sell stop-order. +2840 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2841 with price equal to limitPrice, when current price goes to target price of sell stop-order. +2842 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2843 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2844 :param expDate: string "Undefined" by default or local date in future. +2845 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2846 This date is converting to UTC format for server. +2847 :return: JSON with response from broker server. +2848 """ +2849 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +2850 +2851 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: +2852 """ +2853 Cancel order or list of orders by its `orderId` or `stopOrderId`. +2854 +2855 :param orderIDs: list of integers with `orderId` or `stopOrderId`. +2856 :param allOrdersIDs: pre-received lists of all active pending orders. +2857 This avoids unnecessary downloading data from the server. +2858 :param allStopOrdersIDs: pre-received lists of all active stop orders. +2859 """ +2860 if orderIDs: +2861 if allOrdersIDs is None or not allOrdersIDs: +2862 rawOrders = self.RequestPendingOrders() +2863 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2864 +2865 if allStopOrdersIDs is None or not allStopOrdersIDs: +2866 rawStopOrders = self.RequestStopOrders() +2867 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2868 +2869 for orderID in orderIDs: +2870 idInPendingOrders = orderID in allOrdersIDs +2871 idInStopOrders = orderID in allStopOrdersIDs +2872 +2873 if not (idInPendingOrders or idInStopOrders): +2874 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) +2875 continue +2876 +2877 else: +2878 if idInPendingOrders: +2879 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) +2880 +2881 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder +2882 self.body = str({"accountId": self.accountId, "orderId": orderID}) +2883 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" +2884 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2885 +2886 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2887 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2888 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) +2889 +2890 else: +2891 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) +2892 +2893 elif idInStopOrders: +2894 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) +2895 +2896 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder +2897 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) +2898 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" +2899 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2900 +2901 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2902 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2903 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) +2904 +2905 else: +2906 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) +2907 +2908 else: +2909 continue +2910 +2911 def CloseAllOrders(self) -> None: +2912 """ +2913 Gets a list of open pending and stop orders and cancel it all. +2914 """ +2915 rawOrders = self.RequestPendingOrders() +2916 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2917 lenOrders = len(allOrdersIDs) +2918 +2919 rawStopOrders = self.RequestStopOrders() +2920 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2921 lenSOrders = len(allStopOrdersIDs) +2922 +2923 if lenOrders > 0 or lenSOrders > 0: +2924 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) +2925 +2926 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) +2927 +2928 else: +2929 uLogger.info("Orders not found, nothing to cancel.") +2930 +2931 def CloseAll(self, *args) -> None: +2932 """ +2933 Close all available (not blocked) opened trades and orders. +2934 +2935 Also you can select one or more keywords case insensitive: +2936 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. +2937 +2938 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. +2939 """ +2940 overview = self.Overview(showStatistics=False) # get all open trades info +2941 +2942 if len(args) == 0: +2943 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") +2944 self.CloseAllOrders() # close all pending and stop orders +2945 +2946 for iType in TKS_INSTRUMENTS: +2947 if iType != "Currencies": +2948 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +2949 +2950 else: +2951 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) +2952 lowerArgs = [x.lower() for x in args] +2953 +2954 if "orders" in lowerArgs: +2955 self.CloseAllOrders() # close all pending and stop orders +2956 +2957 for iType in TKS_INSTRUMENTS: +2958 if iType.lower() in lowerArgs and iType != "Currencies": +2959 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +2960 +2961 @staticmethod +2962 def ParseOrderParameters(operation, **inputParameters): +2963 """ +2964 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. +2965 +2966 :param operation: string "Buy" or "Sell". +2967 :param inputParameters: this is dict of strings that looks like this +2968 `{"lots": "L_int,...", "prices": "P_float,..."}` where +2969 "lots" key: one or more lot values (integer numbers) to open with every limit-order +2970 "prices" key: one or more prices to open limit-orders +2971 Counts of values in lots and prices lists must be equals! +2972 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` +2973 """ +2974 # TODO: update order grid work with api v2 +2975 pass +2976 # uLogger.debug("Input parameters: {}".format(inputParameters)) +2977 # +2978 # if operation is None or not operation or operation not in ("Buy", "Sell"): +2979 # raise Exception("You must define operation type: 'Buy' or 'Sell'!") +2980 # +2981 # if "l" in inputParameters.keys(): +2982 # inputParameters["lots"] = inputParameters.pop("l") +2983 # +2984 # if "p" in inputParameters.keys(): +2985 # inputParameters["prices"] = inputParameters.pop("p") +2986 # +2987 # if "lots" not in inputParameters.keys() or "prices" not in inputParameters.keys(): +2988 # raise Exception("Both of 'lots' and 'prices' keys must be define to open grid orders!") +2989 # +2990 # lots = [int(item.strip()) for item in inputParameters["lots"].split(",")] +2991 # prices = [float(item.strip()) for item in inputParameters["prices"].split(",")] +2992 # +2993 # if len(lots) != len(prices): +2994 # raise Exception("'lots' and 'prices' lists must have equal length of values!") +2995 # +2996 # uLogger.debug("Extracted parameters for orders:") +2997 # uLogger.debug("lots = {}".format(lots)) +2998 # uLogger.debug("prices = {}".format(prices)) +2999 # +3000 # # list of dictionaries with order's parameters: [{"lot": lots_1, "price": price_1}, {...}, ...] +3001 # result = [{"lot": lots[item], "price": prices[item]} for item in range(len(prices))] +3002 # uLogger.debug("Order parameters: {}".format(result)) +3003 # +3004 # return result +3005 +3006 def IsInPortfolio(self, portfolio: dict = None) -> bool: +3007 """ +3008 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. +3009 +3010 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3011 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. +3012 """ +3013 result = False +3014 msg = "Instrument not defined!" +3015 +3016 if portfolio is None or not portfolio: +3017 portfolio = self.Overview(showStatistics=False) +3018 +3019 if self.ticker: +3020 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3021 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3022 +3023 for iType in TKS_INSTRUMENTS: +3024 for instrument in portfolio["stat"][iType]: +3025 if instrument["ticker"] == self.ticker: +3026 result = True +3027 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) +3028 break +3029 +3030 elif self.figi: +3031 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3032 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3033 +3034 for iType in TKS_INSTRUMENTS: +3035 for instrument in portfolio["stat"][iType]: +3036 if instrument["figi"] == self.figi: +3037 result = True +3038 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) +3039 break +3040 +3041 else: +3042 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3043 +3044 uLogger.debug(msg) +3045 +3046 return result +3047 +3048 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: +3049 """ +3050 Returns instrument is in the user's portfolio if it presents there. +3051 Instrument must be defined by `ticker` (highly priority) or `figi`. +3052 +3053 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3054 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. +3055 """ +3056 result = None +3057 msg = "Instrument not defined!" +3058 +3059 if portfolio is None or not portfolio: +3060 portfolio = self.Overview(showStatistics=False) +3061 +3062 if self.ticker: +3063 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3064 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3065 +3066 for iType in TKS_INSTRUMENTS: +3067 for instrument in portfolio["stat"][iType]: +3068 if instrument["ticker"] == self.ticker: +3069 result = instrument +3070 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) +3071 break +3072 +3073 elif self.figi: +3074 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3075 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3076 +3077 for iType in TKS_INSTRUMENTS: +3078 for instrument in portfolio["stat"][iType]: +3079 if instrument["figi"] == self.figi: +3080 result = instrument +3081 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) +3082 break +3083 +3084 else: +3085 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3086 +3087 uLogger.debug(msg) +3088 +3089 return resultReturns
-188 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: -189 """ -190 Main class init. -191 -192 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. -193 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. -194 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. -195 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. -196 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. -197 For future use, you can save this variable and use as `iList` to avoid permanent downloads -198 from the server. Also, you can try `DumpInstruments()` method. -199 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. -200 True by default. Cache is auto-update if new day has come. -201 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. -202 If you don't want to use cache and always updates raw data then set `useCache=False`. -203 """ -204 if token is None or not token: -205 try: -206 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) -207 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") -208 -209 except KeyError: -210 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") -211 -212 else: -213 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' -214 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") -215 -216 if accountId is None or not accountId: -217 try: -218 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) -219 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") -220 -221 except KeyError: -222 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") -223 -224 else: -225 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' -226 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") -227 -228 self.aliases = TKS_TICKER_ALIASES -229 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" -230 -231 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init -232 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there -233 -234 self.ticker = "" -235 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" -236 -237 self.figi = "" -238 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" -239 -240 self.depth = 1 -241 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" -242 -243 self.server = r"https://invest-public-api.tinkoff.ru/rest" -244 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest -245 -246 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 -247 """ -248 -249 uLogger.debug("Broker API server: {}".format(self.server)) -250 -251 self.timeout = 15 -252 """Server operations timeout in seconds. Default: 15""" -253 -254 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} -255 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {token}"}`""" -256 -257 self.body = None -258 """Request body which send to broker server. Default: `None`""" -259 -260 self.historyLength = 24 -261 """How many candles returns if candles history request. For example, if `historyInterval="hour"` and `historyLength=24` it means: "give me last 24 hours". Must be >=1. Default: 24""" -262 -263 self.historyInterval = "hour" -264 """Interval string for Tinkoff API (see: `TKSEnums.TKS_TIMEFRAMES`). Available values are `"1min"`, `"2min"`, `"3min"`, `"5min"`, `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`""" -265 -266 self.instrumentsFile = "instruments.md" -267 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" -268 -269 self.searchResultsFile = "search-results.md" -270 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" -271 -272 self.pricesFile = "prices.md" -273 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" -274 -275 self.overviewFile = "overview.md" -276 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" -277 -278 self.reportFile = "deals.md" -279 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" -280 -281 self.historyFile = None -282 """Full path to .csv output file where history candles will be saved. Default: `None`, mean that returns only pandas dataframe.""" -283 -284 self.iListDumpFile = "dump.json" -285 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" -286 -287 self.iList = None # init iList -288 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. -289 -290 See also: `Listing()` and `DumpInstruments()`. -291 """ -292 -293 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: -294 if iList is not None and isinstance(iList, dict): -295 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") -296 -297 self.iList = iList # only used given iList, dump not updated -298 -299 elif useCache: -300 if os.path.exists(self.iListDumpFile): -301 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time -302 curTime = datetime.now(tzutc()) -303 -304 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): -305 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) -306 -307 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file -308 -309 else: -310 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump -311 -312 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) -313 uLogger.debug("Dump file was modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) -314 -315 else: -316 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") -317 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file -318 -319 else: -320 self.iList = self.Listing() # request new raw instruments data from broker server -321 self.DumpInstruments(forceUpdate=False) # save updated info to default dump file +@@ -6906,7 +7144,7 @@189 def __init__(self, token: str, accountId: str = None, iList: dict = None, useCache: bool = True) -> None: +190 """ +191 Main class init. +192 +193 :param token: Bearer token for Tinkoff Invest API. It can be set from environment variable `TKS_API_TOKEN`. +194 :param accountId: string with user's numeric account ID in Tinkoff Broker. It can be found in broker's reports. +195 Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`. +196 :param iList: dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. +197 At first time, when class init, `Listing()` method auto-update this variable, or you can use dump file. +198 For future use, you can save this variable and use as `iList` to avoid permanent downloads +199 from the server. Also, you can try `DumpInstruments()` method. +200 :param useCache: use default cache file `dump.json` with raw data to use instead of `iList` if `iList` set as `None`. +201 True by default. Cache is auto-update if new day has come. +202 If `iList` is not `None` then it value has higher priority than `dump.json` and `useCache`. +203 If you don't want to use cache and always updates raw data then set `useCache=False`. +204 """ +205 if token is None or not token: +206 try: +207 self.token = r"{}".format(os.environ["TKS_API_TOKEN"]) +208 uLogger.debug("Bearer token for Tinkoff OpenApi set up from environment variable `TKS_API_TOKEN`. See https://tinkoff.github.io/investAPI/token/") +209 +210 except KeyError: +211 raise Exception("`--token` key or environment variable `TKS_API_TOKEN` is required! See https://tinkoff.github.io/investAPI/token/") +212 +213 else: +214 self.token = token # highly priority than environment variable 'TKS_API_TOKEN' +215 uLogger.debug("Bearer token for Tinkoff OpenApi set up from class variable `token`") +216 +217 if accountId is None or not accountId: +218 try: +219 self.accountId = r"{}".format(os.environ["TKS_ACCOUNT_ID"]) +220 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from environment variable `TKS_ACCOUNT_ID`") +221 +222 except KeyError: +223 uLogger.warning("`--account-id` key or environment variable `TKS_ACCOUNT_ID` undefined! Some of operations may be unavailable (overview, trading etc).") +224 +225 else: +226 self.accountId = accountId # highly priority than environment variable 'TKS_ACCOUNT_ID' +227 uLogger.debug("String with user's numeric account ID in Tinkoff Broker set up from class variable `accountId`") +228 +229 self.aliases = TKS_TICKER_ALIASES +230 """Some aliases instead official tickers. See `TKSEnums.TKS_TICKER_ALIASES`""" +231 +232 self.aliasesKeys = self.aliases.keys() # re-calc only first time at class init +233 self.exclude = TKS_TICKERS_OR_FIGI_EXCLUDED # some of tickets or FIGIs raised exception earlier when it sends to server, that is why we exclude there +234 +235 self.ticker = "" +236 """String with ticker, e.g. `GOOGL`. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR` etc. More tickers aliases here: `TKSEnums.TKS_TICKER_ALIASES`.""" +237 +238 self.figi = "" +239 """String with FIGI, e.g. ticker `GOOGL` has FIGI `BBG009S39JX6`""" +240 +241 self.depth = 1 +242 """Depth of Market (DOM) can be >= 1. Default: 1. It used with `--price` key to showing DOM with current prices for givens ticker or FIGI.""" +243 +244 self.server = r"https://invest-public-api.tinkoff.ru/rest" +245 """Tinkoff REST API server for real trade operations. Default: https://invest-public-api.tinkoff.ru/rest +246 +247 See also: https://tinkoff.github.io/investAPI/#tinkoff-invest-api_1 +248 """ +249 +250 uLogger.debug("Broker API server: {}".format(self.server)) +251 +252 self.timeout = 15 +253 """Server operations timeout in seconds. Default: `15`""" +254 +255 self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} +256 """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {your_token}"}`""" +257 +258 self.body = None +259 """Request body which send to broker server. Default: `None`""" +260 +261 # remove after implemented: #45 Add selector of file types https://github.com/Tim55667757/TKSBrokerAPI/issues/45 +262 # self.outputFileType = None +263 # """Switch of types for output files when `--output` key present. You can choose: `.md`, `.csv` and `.xlsx`. By default: `None`, it mean that default types will be used.""" +264 +265 self.historyFile = None +266 """Full path to the output file where history candles will be saved or updated. Default: `None`, it mean that returns only pandas dataframe when you request `History()` method.""" +267 +268 self.instrumentsFile = "instruments.md" +269 """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" +270 +271 self.searchResultsFile = "search-results.md" +272 """Filename with all found instruments searched by part of its ticker, FIGI or name. Default: `search-results.md`""" +273 +274 self.pricesFile = "prices.md" +275 """Filename where prices of selected instruments will be saved. Default: `prices.md`""" +276 +277 self.overviewFile = "overview.md" +278 """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" +279 +280 self.overviewDigestFile = "overview-digest.md" +281 """Filename where short digest of the portfolio status will be saved. Default: `overview-digest.md`""" +282 +283 self.overviewPositionsFile = "overview-positions.md" +284 """Filename where only open positions, without everything else will be saved. Default: `overview-positions.md`""" +285 +286 self.overviewOrdersFile = "overview-orders.md" +287 """Filename where open limits and stop orders will be saved. Default: `overview-orders.md`""" +288 +289 self.overviewAnalyticsFile = "overview-analytics.md" +290 """Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default: `overview-analytics.md`""" +291 +292 self.reportFile = "deals.md" +293 """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" +294 +295 self.iListDumpFile = "dump.json" +296 """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" +297 +298 self.iList = None # init iList +299 """Dictionary with raw data about shares, currencies, bonds, etfs and futures from broker server. Auto-updating. +300 +301 See also: `Listing()` and `DumpInstruments()`. +302 """ +303 +304 # try to re-use raw instruments data saved as `iList` or try to load it from the dump file: +305 if iList is not None and isinstance(iList, dict): +306 uLogger.debug("Instruments raw data set up from given `iList` variable. Dump file not updated.") +307 +308 self.iList = iList # only used given iList, dump not updated +309 +310 elif useCache: +311 if os.path.exists(self.iListDumpFile): +312 dumpTime = datetime.fromtimestamp(os.path.getmtime(self.iListDumpFile)).astimezone(tzutc()) # dump modification date and time +313 curTime = datetime.now(tzutc()) +314 +315 if (curTime.day > dumpTime.day) or (curTime.month > dumpTime.month) or (curTime.year > dumpTime.year): +316 uLogger.warning("Local cache may be outdated! It has last modified [{}] UTC. Updating from broker server, wait, please...".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) +317 +318 self.DumpInstruments(forceUpdate=True) # updating self.iList and dump file +319 +320 else: +321 self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump +322 +323 uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) +324 uLogger.debug("Dump file was last modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) +325 +326 else: +327 uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") +328 self.DumpInstruments(forceUpdate=True) # updating self.iList and creating default dump file +329 +330 else: +331 self.iList = self.Listing() # request new raw instruments data from broker server +332 self.DumpInstruments(forceUpdate=False) # save updated info to default dump fileParameters
-Server operations timeout in seconds. Default: 15
+@@ -6919,7 +7157,7 @@Server operations timeout in seconds. Default:
15Parameters
-Headers which send in every request to broker server. Default:
+{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {token}"}@@ -6937,28 +7175,15 @@Headers which send in every request to broker server. Default:
{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {your_token}"}Parameters
--- historyLength - - -- - -- - -How many candles returns if candles history request. For example, if
-historyInterval="hour"andhistoryLength=24it means: "give me last 24 hours". Must be >=1. Default: 24+- historyInterval + historyFile- + --Interval string for Tinkoff API (see:
+TKSEnums.TKS_TIMEFRAMES). Available values are"1min","2min","3min","5min","10min","15min","30min","hour","day","week","month". Default:"hour"@@ -7015,28 +7240,67 @@Full path to the output file where history candles will be saved or updated. Default:
None, it mean that returns only pandas dataframe when you requestHistory()method.Parameters
+- reportFile + overviewDigestFile- + --Filename where history of deals and trade statistics will be saved. Default:
+deals.mdFilename where short digest of the portfolio status will be saved. Default:
overview-digest.md++- historyFile + overviewPositionsFile- + + ++ + +Filename where only open positions, without everything else will be saved. Default:
+overview-positions.md++ overviewOrdersFile + + ++ -+Full path to .csv output file where history candles will be saved. Default:
+None, mean that returns only pandas dataframe.+ + +Filename where open limits and stop orders will be saved. Default:
+overview-orders.md+++ overviewAnalyticsFile + + ++ + ++ + +Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default:
+overview-analytics.md+-+ reportFile + + ++ + +@@ -7080,77 +7344,77 @@Filename where history of deals and trade statistics will be saved. Default:
deals.mdParameters
-345 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: -346 """ -347 Send GET or POST request to broker server and receive JSON object. -348 -349 self.header: must be define with dictionary of headers. -350 self.body: if define then used as request body. None by default. -351 self.timeout: global request timeout, 15 seconds by default. -352 :param url: url with REST request. -353 :param reqType: send "GET" or "POST" request. "GET" by default. -354 :param retry: how many times retry after first request if an error occurred. -355 :param pause: sleep time in seconds between retries. -356 :param debug: if `True` then print more debug information. -357 :return: response JSON (dictionary) from broker. -358 """ -359 if reqType not in ("GET", "POST"): -360 raise Exception("You can define request type: 'GET' or 'POST'!") -361 -362 if debug: -363 uLogger.debug("Request parameters:") -364 uLogger.debug(" - REST API URL: {}".format(url)) -365 uLogger.debug(" - request type: {}".format(reqType)) -366 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) -367 uLogger.debug(" - body: {}".format(self.body)) -368 -369 # fast hack to avoid all operations with some tickers/FIGI -370 responseJSON = {} -371 oK = True -372 for item in self.exclude: -373 if item in url: -374 if debug: -375 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) -376 -377 oK = False -378 break -379 -380 if oK: -381 counter = 0 -382 response = None -383 errMsg = "" -384 -385 while not response and counter <= retry: -386 if reqType == "GET": -387 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) -388 -389 if reqType == "POST": -390 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) -391 -392 if debug: -393 uLogger.debug("Response:") -394 uLogger.debug(" - status code: {}".format(response.status_code)) -395 uLogger.debug(" - reason: {}".format(response.reason)) -396 uLogger.debug(" - body length: {}".format(len(response.text))) -397 -398 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes -399 if 400 <= response.status_code < 600: -400 errMsg = "[{}] {}".format(response.status_code, response.text) -401 uLogger.debug(" - not oK status code received: {}".format(errMsg)) -402 counter += 1 -403 -404 if counter <= retry: -405 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) -406 sleep(pause) -407 -408 responseJSON = self._ParseJSON(response.text) -409 -410 if errMsg: -411 uLogger.error("Not `oK` status received from broker server!") -412 uLogger.error(" - message: {}".format(errMsg)) -413 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") -414 -415 return responseJSON +@@ -7190,42 +7454,42 @@356 def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: int = 5, debug: bool = False) -> dict: +357 """ +358 Send GET or POST request to broker server and receive JSON object. +359 +360 self.header: must be define with dictionary of headers. +361 self.body: if define then used as request body. None by default. +362 self.timeout: global request timeout, 15 seconds by default. +363 :param url: url with REST request. +364 :param reqType: send "GET" or "POST" request. "GET" by default. +365 :param retry: how many times retry after first request if an error occurred. +366 :param pause: sleep time in seconds between retries. +367 :param debug: if `True` then print more debug information. +368 :return: response JSON (dictionary) from broker. +369 """ +370 if reqType not in ("GET", "POST"): +371 raise Exception("You can define request type: 'GET' or 'POST'!") +372 +373 if debug: +374 uLogger.debug("Request parameters:") +375 uLogger.debug(" - REST API URL: {}".format(url)) +376 uLogger.debug(" - request type: {}".format(reqType)) +377 uLogger.debug(" - headers: {}".format(str(self.headers).replace(self.token, "*** request token ***"))) +378 uLogger.debug(" - body: {}".format(self.body)) +379 +380 # fast hack to avoid all operations with some tickers/FIGI +381 responseJSON = {} +382 oK = True +383 for item in self.exclude: +384 if item in url: +385 if debug: +386 uLogger.warning("Do not execute operations with list of this tickers/FIGI: {}".format(str(self.exclude))) +387 +388 oK = False +389 break +390 +391 if oK: +392 counter = 0 +393 response = None +394 errMsg = "" +395 +396 while not response and counter <= retry: +397 if reqType == "GET": +398 response = requests.get(url, headers=self.headers, data=self.body, timeout=self.timeout) +399 +400 if reqType == "POST": +401 response = requests.post(url, headers=self.headers, data=self.body, timeout=self.timeout) +402 +403 if debug: +404 uLogger.debug("Response:") +405 uLogger.debug(" - status code: {}".format(response.status_code)) +406 uLogger.debug(" - reason: {}".format(response.reason)) +407 uLogger.debug(" - body length: {}".format(len(response.text))) +408 +409 # Error status codes: https://en.wikipedia.org/wiki/List_of_HTTP_status_codes +410 if 400 <= response.status_code < 600: +411 errMsg = "[{}] {}".format(response.status_code, response.text) +412 uLogger.debug(" - not oK status code received: {}".format(errMsg)) +413 counter += 1 +414 +415 if counter <= retry: +416 uLogger.debug("Retry: [{}]. Wait until {} sec. and try again...".format(counter, pause)) +417 sleep(pause) +418 +419 responseJSON = self._ParseJSON(response.text) +420 +421 if errMsg: +422 uLogger.error("Not `oK` status received from broker server! See: https://tinkoff.github.io/investAPI/errors/") +423 uLogger.error(" - message: {}".format(errMsg)) +424 # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") +425 +426 return responseJSONReturns
-448 def Listing(self) -> dict: -449 """ -450 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. -451 -452 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. -453 """ -454 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") -455 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) -456 -457 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService -458 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. -459 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] -460 -461 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode -462 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations -463 poolUpdater.close() -464 -465 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. -466 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method -467 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} -468 -469 # calculate minimum price increment (step) for all instruments and set up instrument's type: -470 for iType in iList.keys(): -471 for ticker in iList[iType]: -472 iList[iType][ticker]["type"] = iType -473 -474 if "minPriceIncrement" in iList[iType][ticker].keys(): -475 iList[iType][ticker]["step"] = NanoToFloat( -476 iList[iType][ticker]["minPriceIncrement"]["units"], -477 iList[iType][ticker]["minPriceIncrement"]["nano"], -478 ) -479 -480 else: -481 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures -482 -483 return iList +@@ -7251,27 +7515,27 @@459 def Listing(self) -> dict: +460 """ +461 Gets JSON with raw data about shares, currencies, bonds, etfs and futures from broker server. +462 +463 :return: Dictionary with all available broker instruments: currencies, shares, bonds, etfs and futures. +464 """ +465 uLogger.debug("Requesting all available instruments from broker for current user token. Wait, please...") +466 uLogger.debug("CPU usages for parallel requests: [{}]".format(CPU_USAGES)) +467 +468 # this parameters insert to requests: https://tinkoff.github.io/investAPI/swagger-ui/#/InstrumentsService +469 # iType is type of instrument, it must be one of supported types in TKS_INSTRUMENTS list. +470 iParams = [{"iType": iType} for iType in TKS_INSTRUMENTS] +471 +472 poolUpdater = ThreadPool(processes=CPU_USAGES) # create pool for update instruments in parallel mode +473 listing = poolUpdater.map(self._IWrapper, iParams) # execute update operations +474 poolUpdater.close() +475 +476 # Dictionary with all broker instruments: shares, currencies, bonds, etfs and futures. +477 # Next in this code: item[0] is "iType" and item[1] is list of available instruments from the result of _IUpdater() method +478 iList = {item[0]: {instrument["ticker"]: instrument for instrument in item[1]} for item in listing} +479 +480 # calculate minimum price increment (step) for all instruments and set up instrument's type: +481 for iType in iList.keys(): +482 for ticker in iList[iType]: +483 iList[iType][ticker]["type"] = iType +484 +485 if "minPriceIncrement" in iList[iType][ticker].keys(): +486 iList[iType][ticker]["step"] = NanoToFloat( +487 iList[iType][ticker]["minPriceIncrement"]["units"], +488 iList[iType][ticker]["minPriceIncrement"]["nano"], +489 ) +490 +491 else: +492 iList[iType][ticker]["step"] = 0 # hack to avoid empty value in some instruments, e.g. futures +493 +494 return iListReturns
-485 def DumpInstruments(self, forceUpdate: bool = True) -> str: -486 """ -487 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server -488 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. -489 -490 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. -491 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. -492 """ -493 if self.iListDumpFile is None or not self.iListDumpFile: -494 raise Exception("Output name of dump file must be defined!") -495 -496 if not self.iList or forceUpdate: -497 self.iList = self.Listing() -498 -499 dump = json.dumps(self.iList, indent=4, sort_keys=False) -500 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: -501 fH.write(dump) -502 -503 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) -504 -505 return dump +@@ -7305,181 +7569,183 @@496 def DumpInstruments(self, forceUpdate: bool = True) -> str: +497 """ +498 Receives and returns actual raw data about shares, currencies, bonds, etfs and futures from broker server +499 using `Listing()` method. If `iListDumpFile` string is not empty then also save information to this file. +500 +501 :param forceUpdate: if `True` then at first updates data with `Listing()` method, otherwise just saves exist `iList`. +502 :return: serialized JSON formatted `str` with full data of instruments, also saved to the `--output` file. +503 """ +504 if self.iListDumpFile is None or not self.iListDumpFile: +505 raise Exception("Output name of dump file must be defined!") +506 +507 if not self.iList or forceUpdate: +508 self.iList = self.Listing() +509 +510 dump = json.dumps(self.iList, indent=4, sort_keys=False) +511 with open(self.iListDumpFile, mode="w", encoding="UTF-8") as fH: +512 fH.write(dump) +513 +514 uLogger.info("Instruments raw data were cached for future used: [{}]".format(os.path.abspath(self.iListDumpFile))) +515 +516 return dumpReturns
507 @staticmethod -508 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: -509 """ -510 Show information about instrument defined by json and print in Markdown format. -511 -512 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` -513 :param printInfo: if `True` then also printing information about instrument and its current price. -514 :return: text in Markdown format with information about instrument. -515 """ -516 infoText = "" -517 if iJSON is not None and iJSON and isinstance(iJSON, dict): -518 info = [ -519 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), -520 "| Parameters | Values\n", -521 "|---------------------------------------------------------|---------------------------------------------------------\n", -522 "| Ticker: | {}\n".format(iJSON["ticker"]), -523 "| Full name: | {}\n".format(iJSON["name"]), -524 ] -525 -526 if "sector" in iJSON.keys() and iJSON["sector"]: -527 info.append("| Sector: | {}\n".format(iJSON["sector"])) -528 -529 info.append("| Country of instrument: | {}{}\n".format( -530 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", -531 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", -532 )) -533 -534 info.extend([ -535 "| |\n", -536 "| FIGI (Financial Instrument Global Identifier): | {}\n".format(iJSON["figi"]), -537 "| Exchange: | {}\n".format(iJSON["exchange"]), -538 ]) -539 -540 if "isin" in iJSON.keys() and iJSON["isin"]: -541 info.append("| ISIN (International Securities Identification Number): | {}\n".format(iJSON["isin"])) -542 -543 if "classCode" in iJSON.keys(): -544 info.append("| Class Code: | {}\n".format(iJSON["classCode"])) -545 -546 info.extend([ -547 "| |\n", -548 "| Current broker security trading status: | {}\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), -549 "| Buy operations allowed: | {}\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), -550 "| Sale operations allowed: | {}\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), -551 "| Short positions allowed: | {}\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), -552 ]) -553 -554 info.append("| |\n") -555 -556 if "type" in iJSON.keys() and iJSON["type"]: -557 info.append("| Type of the instrument: | {}\n".format(iJSON["type"])) -558 -559 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: -560 info.append("| Futures type: | {}\n".format(iJSON["futuresType"])) -561 -562 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: -563 info.append("| IPO date: | {}\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) -564 -565 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: -566 info.append("| Released date: | {}\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) -567 -568 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: -569 info.append("| Rebalancing frequency: | {}\n".format(iJSON["rebalancingFreq"])) -570 -571 if "focusType" in iJSON.keys() and iJSON["focusType"]: -572 info.append("| Focusing type: | {}\n".format(iJSON["focusType"])) -573 -574 if "assetType" in iJSON.keys() and iJSON["assetType"]: -575 info.append("| Asset type: | {}\n".format(iJSON["assetType"])) -576 -577 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: -578 info.append("| Basic asset: | {}\n".format(iJSON["basicAsset"])) -579 -580 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: -581 info.append("| Basic asset size: | {:.2f}\n".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"]))) -582 -583 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: -584 info.append("| ISO currency name: | {}\n".format(iJSON["isoCurrencyName"])) -585 -586 if "currency" in iJSON.keys(): -587 info.append("| Payment currency: | {}\n".format(iJSON["currency"])) -588 -589 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: -590 info.append("| First trade date: | {}\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) -591 -592 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: -593 info.append("| Last trade date: | {}\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) -594 -595 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: -596 info.append("| Date of expiration: | {}\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) -597 -598 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: -599 info.append("| State registration date: | {}\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) -600 -601 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: -602 info.append("| Placement date: | {}\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) -603 -604 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: -605 info.append("| Maturity date: | {}\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) -606 -607 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: -608 info.append("| Perpetual bond: | Yes\n") -609 -610 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: -611 info.append("| Over-the-counter (OTC) securities: | Yes\n") -612 -613 if iJSON["type"] == "Bonds": -614 info.append("| Bond issue (size / plan): | {} / {}\n".format(iJSON["issueSize"], iJSON["issueSizePlan"])) -615 -616 info.append("| Nominal price (100%): | {:.2f} {}\n".format( -617 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), -618 iJSON["nominal"]["currency"], -619 )) -620 -621 if "floatingCouponFlag" in iJSON.keys(): -622 info.append("| Floating coupon: | {}\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) -623 -624 if "amortizationFlag" in iJSON.keys(): -625 info.append("| Amortization: | {}\n".format("Yes" if iJSON["amortizationFlag"] else "No")) -626 -627 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: -628 info.append("| Number of coupon payments per year: | {}\n".format(iJSON["couponQuantityPerYear"])) -629 -630 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: -631 info.append("| Current ACI (Accrued Interest): | {:.2f} {}\n".format( -632 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), -633 iJSON["aciValue"]["currency"] -634 )) -635 -636 if "currentPrice" in iJSON.keys(): -637 info.append("| |\n") -638 -639 info.extend([ -640 "| Previous close price of the instrument: | {}{}\n".format( -641 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", -642 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -643 ), -644 "| Last deal price of the instrument: | {}{}\n".format( -645 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", -646 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -647 ), -648 "| Changes between last deal price and last close % | {:.2f}%\n".format(iJSON["currentPrice"]["changes"]), -649 "| Current limit price, min / max: | {}{} / {}{}\n".format( -650 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", -651 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -652 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", -653 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -654 ), -655 "| Actual price, sell / buy: | {}{} / {}{}\n".format( -656 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", -657 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -658 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", -659 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), -660 ), -661 ]) -662 -663 if "lot" in iJSON.keys(): -664 info.append("| Minimum lot to buy: | {}\n".format(iJSON["lot"])) -665 -666 if "step" in iJSON.keys() and iJSON["step"] != 0: -667 info.append("| Minimum price increment (step): | {}\n".format(iJSON["step"])) -668 -669 infoText += "".join(info) -670 -671 if printInfo: -672 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) -673 -674 else: -675 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) -676 -677 return infoText +-518 @staticmethod +519 def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: +520 """ +521 Show information about one instrument defined by json data and prints it in Markdown format. +522 +523 :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` +524 :param printInfo: if `True` then also printing information about instrument and its current price. +525 :return: multilines text in Markdown format with information about one instrument. +526 """ +527 splitLine = "| | |\n" +528 infoText = "" +529 +530 if iJSON is not None and iJSON and isinstance(iJSON, dict): +531 info = [ +532 "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), +533 "| Parameters | Values |\n", +534 "|---------------------------------------------------------|---------------------------------------------------------|\n", +535 "| Ticker: | {:<55} |\n".format(iJSON["ticker"]), +536 "| Full name: | {:<55} |\n".format(iJSON["name"]), +537 ] +538 +539 if "sector" in iJSON.keys() and iJSON["sector"]: +540 info.append("| Sector: | {:<55} |\n".format(iJSON["sector"])) +541 +542 info.append("| Country of instrument: | {:<55} |\n".format("{}{}".format( +543 "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", +544 iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", +545 ))) +546 +547 info.extend([ +548 splitLine, +549 "| FIGI (Financial Instrument Global Identifier): | {:<55} |\n".format(iJSON["figi"]), +550 "| Exchange: | {:<55} |\n".format(iJSON["exchange"]), +551 ]) +552 +553 if "isin" in iJSON.keys() and iJSON["isin"]: +554 info.append("| ISIN (International Securities Identification Number): | {:<55} |\n".format(iJSON["isin"])) +555 +556 if "classCode" in iJSON.keys(): +557 info.append("| Class Code: | {:<55} |\n".format(iJSON["classCode"])) +558 +559 info.extend([ +560 splitLine, +561 "| Current broker security trading status: | {:<55} |\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), +562 "| Buy operations allowed: | {:<55} |\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), +563 "| Sale operations allowed: | {:<55} |\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), +564 "| Short positions allowed: | {:<55} |\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), +565 ]) +566 +567 info.append(splitLine) +568 +569 if "type" in iJSON.keys() and iJSON["type"]: +570 info.append("| Type of the instrument: | {:<55} |\n".format(iJSON["type"])) +571 +572 if "futuresType" in iJSON.keys() and iJSON["futuresType"]: +573 info.append("| Futures type: | {:<55} |\n".format(iJSON["futuresType"])) +574 +575 if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: +576 info.append("| IPO date: | {:<55} |\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) +577 +578 if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: +579 info.append("| Released date: | {:<55} |\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) +580 +581 if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: +582 info.append("| Rebalancing frequency: | {:<55} |\n".format(iJSON["rebalancingFreq"])) +583 +584 if "focusType" in iJSON.keys() and iJSON["focusType"]: +585 info.append("| Focusing type: | {:<55} |\n".format(iJSON["focusType"])) +586 +587 if "assetType" in iJSON.keys() and iJSON["assetType"]: +588 info.append("| Asset type: | {:<55} |\n".format(iJSON["assetType"])) +589 +590 if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: +591 info.append("| Basic asset: | {:<55} |\n".format(iJSON["basicAsset"])) +592 +593 if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: +594 info.append("| Basic asset size: | {:<55} |\n".format("{:.2f}".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"])))) +595 +596 if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: +597 info.append("| ISO currency name: | {:<55} |\n".format(iJSON["isoCurrencyName"])) +598 +599 if "currency" in iJSON.keys(): +600 info.append("| Payment currency: | {:<55} |\n".format(iJSON["currency"])) +601 +602 if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: +603 info.append("| First trade date: | {:<55} |\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) +604 +605 if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: +606 info.append("| Last trade date: | {:<55} |\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) +607 +608 if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: +609 info.append("| Date of expiration: | {:<55} |\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) +610 +611 if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: +612 info.append("| State registration date: | {:<55} |\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) +613 +614 if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: +615 info.append("| Placement date: | {:<55} |\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) +616 +617 if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: +618 info.append("| Maturity date: | {:<55} |\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) +619 +620 if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: +621 info.append("| Perpetual bond: | Yes |\n") +622 +623 if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: +624 info.append("| Over-the-counter (OTC) securities: | Yes |\n") +625 +626 if iJSON["type"] == "Bonds": +627 info.append("| Bond issue (size / plan): | {:<55} |\n".format("{} / {}".format(iJSON["issueSize"], iJSON["issueSizePlan"]))) +628 +629 info.append("| Nominal price (100%): | {:<55} |\n".format("{:.2f} {}".format( +630 NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), +631 iJSON["nominal"]["currency"], +632 ))) +633 +634 if "floatingCouponFlag" in iJSON.keys(): +635 info.append("| Floating coupon: | {:<55} |\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) +636 +637 if "amortizationFlag" in iJSON.keys(): +638 info.append("| Amortization: | {:<55} |\n".format("Yes" if iJSON["amortizationFlag"] else "No")) +639 +640 if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: +641 info.append("| Number of coupon payments per year: | {:<55} |\n".format(iJSON["couponQuantityPerYear"])) +642 +643 if "aciValue" in iJSON.keys() and iJSON["aciValue"]: +644 info.append("| Current ACI (Accrued Interest): | {:<55} |\n".format("{:.2f} {}".format( +645 NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), +646 iJSON["aciValue"]["currency"] +647 ))) +648 +649 if "currentPrice" in iJSON.keys(): +650 info.append(splitLine) +651 +652 info.extend([ +653 "| Previous close price of the instrument: | {:<55} |\n".format("{}{}".format( +654 "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", +655 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +656 )), +657 "| Last deal price of the instrument: | {:<55} |\n".format("{}{}".format( +658 "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", +659 "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +660 )), +661 "| Changes between last deal price and last close % | {:<55} |\n".format("{:.2f}".format(iJSON["currentPrice"]["changes"])), +662 "| Current limit price, min / max: | {:<55} |\n".format("{}{} / {}{}".format( +663 "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", +664 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +665 "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", +666 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +667 )), +668 "| Actual price, sell / buy: | {:<55} |\n".format("{}{} / {}{}".format( +669 "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", +670 "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +671 "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", +672 "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), +673 )), +674 ]) +675 +676 if "lot" in iJSON.keys(): +677 info.append("| Minimum lot to buy: | {:<55} |\n".format(iJSON["lot"])) +678 +679 if "step" in iJSON.keys() and iJSON["step"] != 0: +680 info.append("| Minimum price increment (step): | {:<55} |\n".format(iJSON["step"])) +681 +682 infoText += "".join(info) +683 +684 if printInfo: +685 uLogger.info("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) +686 +687 else: +688 uLogger.debug("Information about instrument: ticker [{}], FIGI [{}]\n{}".format(iJSON["ticker"], iJSON["figi"], infoText)) +689 +690 return infoText-Show information about instrument defined by json and print in Markdown format.
+@@ -7508,72 +7774,72 @@Show information about one instrument defined by json data and prints it in Markdown format.
Parameters
@@ -7491,7 +7757,7 @@Parameters
Returns
-text in Markdown format with information about instrument.
+multilines text in Markdown format with information about one instrument.
Returns
-679 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: -680 """ -681 Search and return raw broker's information about instrument by it's ticker. -682 `ticker` must be define! If debug=True then print all debug messages. -683 -684 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). -685 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. -686 :param debug: if `True` then print all debug console messages. -687 :return: JSON formatted data with information about instrument. -688 """ -689 tickerJSON = {} -690 if debug: -691 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) -692 -693 if not self.ticker: -694 uLogger.warning("self.ticker variable is not be empty!") -695 -696 else: -697 if not self.iList: -698 self.iList = self.Listing() -699 -700 if self.ticker in self.iList["Shares"].keys(): -701 tickerJSON = self.iList["Shares"][self.ticker] -702 if debug: -703 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) -704 -705 elif self.ticker in self.iList["Currencies"].keys(): -706 tickerJSON = self.iList["Currencies"][self.ticker] -707 if debug: -708 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) -709 -710 elif self.ticker in self.iList["Bonds"].keys(): -711 tickerJSON = self.iList["Bonds"][self.ticker] -712 if debug: -713 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) -714 -715 elif self.ticker in self.iList["Etfs"].keys(): -716 tickerJSON = self.iList["Etfs"][self.ticker] -717 if debug: -718 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) -719 -720 elif self.ticker in self.iList["Futures"].keys(): -721 tickerJSON = self.iList["Futures"][self.ticker] -722 if debug: -723 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) -724 -725 if tickerJSON: -726 self.figi = tickerJSON["figi"] -727 -728 if requestPrice: -729 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) -730 -731 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: -732 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] -733 -734 else: -735 tickerJSON["currentPrice"]["changes"] = 0 -736 -737 if showInfo: -738 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text -739 -740 else: -741 if showInfo: -742 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) -743 -744 return tickerJSON +@@ -7608,97 +7874,97 @@692 def SearchByTicker(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: +693 """ +694 Search and return raw broker's information about instrument by it's ticker. +695 `ticker` must be define! If debug=True then print all debug messages. +696 +697 :param requestPrice: if `False` then do not request current price of instrument (because this is long operation). +698 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. +699 :param debug: if `True` then print all debug console messages. +700 :return: JSON formatted data with information about instrument. +701 """ +702 tickerJSON = {} +703 if debug: +704 uLogger.debug("Searching information about instrument by it's ticker [{}] ...".format(self.ticker)) +705 +706 if not self.ticker: +707 uLogger.warning("self.ticker variable is not be empty!") +708 +709 else: +710 if not self.iList: +711 self.iList = self.Listing() +712 +713 if self.ticker in self.iList["Shares"].keys(): +714 tickerJSON = self.iList["Shares"][self.ticker] +715 if debug: +716 uLogger.debug("Ticker [{}] found in shares list".format(self.ticker)) +717 +718 elif self.ticker in self.iList["Currencies"].keys(): +719 tickerJSON = self.iList["Currencies"][self.ticker] +720 if debug: +721 uLogger.debug("Ticker [{}] found in currencies list".format(self.ticker)) +722 +723 elif self.ticker in self.iList["Bonds"].keys(): +724 tickerJSON = self.iList["Bonds"][self.ticker] +725 if debug: +726 uLogger.debug("Ticker [{}] found in bonds list".format(self.ticker)) +727 +728 elif self.ticker in self.iList["Etfs"].keys(): +729 tickerJSON = self.iList["Etfs"][self.ticker] +730 if debug: +731 uLogger.debug("Ticker [{}] found in etfs list".format(self.ticker)) +732 +733 elif self.ticker in self.iList["Futures"].keys(): +734 tickerJSON = self.iList["Futures"][self.ticker] +735 if debug: +736 uLogger.debug("Ticker [{}] found in futures list".format(self.ticker)) +737 +738 if tickerJSON: +739 self.figi = tickerJSON["figi"] +740 +741 if requestPrice: +742 tickerJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) +743 +744 if tickerJSON["currentPrice"]["closePrice"] is not None and tickerJSON["currentPrice"]["closePrice"] != 0 and tickerJSON["currentPrice"]["lastPrice"] is not None: +745 tickerJSON["currentPrice"]["changes"] = 100 * (tickerJSON["currentPrice"]["lastPrice"] - tickerJSON["currentPrice"]["closePrice"]) / tickerJSON["currentPrice"]["closePrice"] +746 +747 else: +748 tickerJSON["currentPrice"]["changes"] = 0 +749 +750 if showInfo: +751 self.ShowInstrumentInfo(iJSON=tickerJSON, printInfo=True) # print info as Markdown text +752 +753 else: +754 if showInfo: +755 uLogger.warning("Ticker [{}] not found in available broker instrument's list!".format(self.ticker)) +756 +757 return tickerJSONReturns
-746 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: -747 """ -748 Search and return raw broker's information about instrument by it's FIGI. -749 `figi` must be define! If debug=True then print all debug messages. -750 -751 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). -752 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. -753 :param debug: if `True` then print all debug console messages. -754 :return: JSON formatted data with information about instrument. -755 """ -756 figiJSON = {} -757 if debug: -758 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) -759 -760 if not self.figi: -761 uLogger.warning("self.figi variable is not be empty!") -762 -763 else: -764 if not self.iList: -765 self.iList = self.Listing() -766 -767 for item in self.iList["Shares"].keys(): -768 if self.figi == self.iList["Shares"][item]["figi"]: -769 figiJSON = self.iList["Shares"][item] -770 -771 if debug: -772 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) -773 -774 break -775 -776 if not figiJSON: -777 for item in self.iList["Currencies"].keys(): -778 if self.figi == self.iList["Currencies"][item]["figi"]: -779 figiJSON = self.iList["Currencies"][item] -780 -781 if debug: -782 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) -783 -784 break -785 -786 if not figiJSON: -787 for item in self.iList["Bonds"].keys(): -788 if self.figi == self.iList["Bonds"][item]["figi"]: -789 figiJSON = self.iList["Bonds"][item] -790 -791 if debug: -792 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) -793 -794 break -795 -796 if not figiJSON: -797 for item in self.iList["Etfs"].keys(): -798 if self.figi == self.iList["Etfs"][item]["figi"]: -799 figiJSON = self.iList["Etfs"][item] -800 -801 if debug: -802 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) -803 -804 break -805 -806 if not figiJSON: -807 for item in self.iList["Futures"].keys(): -808 if self.figi == self.iList["Futures"][item]["figi"]: -809 figiJSON = self.iList["Futures"][item] -810 -811 if debug: -812 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) -813 -814 break -815 -816 if figiJSON: -817 self.figi = figiJSON["figi"] -818 self.ticker = figiJSON["ticker"] -819 -820 if requestPrice: -821 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) -822 -823 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: -824 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] -825 -826 else: -827 figiJSON["currentPrice"]["changes"] = 0 -828 -829 if showInfo: -830 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text -831 -832 else: -833 if showInfo: -834 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) -835 -836 return figiJSON +@@ -7733,113 +7999,113 @@759 def SearchByFIGI(self, requestPrice: bool = False, showInfo: bool = False, debug: bool = False) -> dict: +760 """ +761 Search and return raw broker's information about instrument by it's FIGI. +762 `figi` must be define! If debug=True then print all debug messages. +763 +764 :param requestPrice: if `False` then do not request current price of instrument (it's long operation). +765 :param showInfo: if `False` then do not run `ShowInstrumentInfo()` method and do not print info to the console. +766 :param debug: if `True` then print all debug console messages. +767 :return: JSON formatted data with information about instrument. +768 """ +769 figiJSON = {} +770 if debug: +771 uLogger.debug("Searching information about instrument by it's FIGI [{}] ...".format(self.figi)) +772 +773 if not self.figi: +774 uLogger.warning("self.figi variable is not be empty!") +775 +776 else: +777 if not self.iList: +778 self.iList = self.Listing() +779 +780 for item in self.iList["Shares"].keys(): +781 if self.figi == self.iList["Shares"][item]["figi"]: +782 figiJSON = self.iList["Shares"][item] +783 +784 if debug: +785 uLogger.debug("FIGI [{}] found in shares list".format(self.figi)) +786 +787 break +788 +789 if not figiJSON: +790 for item in self.iList["Currencies"].keys(): +791 if self.figi == self.iList["Currencies"][item]["figi"]: +792 figiJSON = self.iList["Currencies"][item] +793 +794 if debug: +795 uLogger.debug("FIGI [{}] found in currencies list".format(self.figi)) +796 +797 break +798 +799 if not figiJSON: +800 for item in self.iList["Bonds"].keys(): +801 if self.figi == self.iList["Bonds"][item]["figi"]: +802 figiJSON = self.iList["Bonds"][item] +803 +804 if debug: +805 uLogger.debug("FIGI [{}] found in bonds list".format(self.figi)) +806 +807 break +808 +809 if not figiJSON: +810 for item in self.iList["Etfs"].keys(): +811 if self.figi == self.iList["Etfs"][item]["figi"]: +812 figiJSON = self.iList["Etfs"][item] +813 +814 if debug: +815 uLogger.debug("FIGI [{}] found in etfs list".format(self.figi)) +816 +817 break +818 +819 if not figiJSON: +820 for item in self.iList["Futures"].keys(): +821 if self.figi == self.iList["Futures"][item]["figi"]: +822 figiJSON = self.iList["Futures"][item] +823 +824 if debug: +825 uLogger.debug("FIGI [{}] found in futures list".format(self.figi)) +826 +827 break +828 +829 if figiJSON: +830 self.figi = figiJSON["figi"] +831 self.ticker = figiJSON["ticker"] +832 +833 if requestPrice: +834 figiJSON["currentPrice"] = self.GetCurrentPrices(showPrice=False) +835 +836 if figiJSON["currentPrice"]["closePrice"] is not None and figiJSON["currentPrice"]["closePrice"] != 0 and figiJSON["currentPrice"]["lastPrice"] is not None: +837 figiJSON["currentPrice"]["changes"] = 100 * (figiJSON["currentPrice"]["lastPrice"] - figiJSON["currentPrice"]["closePrice"]) / figiJSON["currentPrice"]["closePrice"] +838 +839 else: +840 figiJSON["currentPrice"]["changes"] = 0 +841 +842 if showInfo: +843 self.ShowInstrumentInfo(iJSON=figiJSON, printInfo=True) # print info as Markdown text +844 +845 else: +846 if showInfo: +847 uLogger.warning("FIGI [{}] not found in available broker instrument's list!".format(self.figi)) +848 +849 return figiJSONReturns
-838 def GetCurrentPrices(self, showPrice: bool = False) -> dict: -839 """ -840 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: -841 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. -842 -843 :param showPrice: if `True` then print DOM. -844 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. -845 """ -846 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} -847 -848 if self.depth < 1: -849 raise Exception("Depth of Market (DOM) must be >=1!") -850 -851 if not (self.ticker or self.figi): -852 raise Exception("self.ticker or self.figi variables must be defined!") -853 -854 if self.ticker and not self.figi: -855 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! -856 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" -857 -858 if not self.ticker and self.figi: -859 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! -860 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" -861 -862 if not self.figi: -863 uLogger.error("FIGI is not determined!") -864 -865 else: -866 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) -867 -868 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook -869 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" -870 self.body = str({"figi": self.figi, "depth": self.depth}) -871 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") -872 -873 if pricesResponse: -874 # list of dicts with sellers orders: -875 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] -876 -877 # list of dicts with buyers orders: -878 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] -879 -880 # max price of instrument at this time: -881 prices["limitUp"] = NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]) if "limitUp" in pricesResponse.keys() else None -882 -883 # min price of instrument at this time: -884 prices["limitDown"] = NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]) if "limitDown" in pricesResponse.keys() else None -885 -886 # last price of deal with instrument: -887 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 -888 -889 # last close price of instrument: -890 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 -891 -892 else: -893 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) -894 uLogger.debug("Server response: {}".format(pricesResponse)) -895 -896 if showPrice: -897 if prices["buy"] or prices["sell"]: -898 info = [ -899 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( -900 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), -901 self.ticker, -902 self.figi, -903 self.depth, -904 ), -905 uLog.sepShort, "\n", -906 " Orders of Buyers | Orders of Sellers\n", -907 uLog.sepShort, "\n", -908 " Sell prices (vol.) | Buy prices (vol.)\n", -909 uLog.sepShort, "\n", -910 ] -911 -912 if not prices["buy"]: -913 info.append(" | No orders!\n") -914 sumBuy = 0 -915 -916 else: -917 sumBuy = sum([x["quantity"] for x in prices["buy"]]) -918 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) -919 for item in maxMinSorted: -920 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) -921 -922 if not prices["sell"]: -923 info.append("No orders! |\n") -924 sumSell = 0 -925 -926 else: -927 sumSell = sum([x["quantity"] for x in prices["sell"]]) -928 for item in prices["sell"]: -929 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) -930 -931 info.extend([ -932 uLog.sepShort, "\n", -933 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), -934 uLog.sepShort, "\n", -935 ]) -936 -937 infoText = "".join(info) -938 -939 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) -940 -941 else: -942 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) -943 -944 return prices +@@ -7872,59 +8138,59 @@851 def GetCurrentPrices(self, showPrice: bool = False) -> dict: +852 """ +853 Get and show Depth of Market with current prices of the instrument. If an error occurred then returns an empty record: +854 `{"buy": [], "sell": [], "limitUp": None, "limitDown": None, "lastPrice": None, "closePrice": None}`. +855 +856 :param showPrice: if `True` then print DOM. +857 :return: orders book dict with lists of current buy and sell prices: `{"buy": [{"price": x1, "quantity": y1, ...}], "sell": [....]}`. +858 """ +859 prices = {"buy": [], "sell": [], "limitUp": 0, "limitDown": 0, "lastPrice": 0, "closePrice": 0} +860 +861 if self.depth < 1: +862 raise Exception("Depth of Market (DOM) must be >=1!") +863 +864 if not (self.ticker or self.figi): +865 raise Exception("self.ticker or self.figi variables must be defined!") +866 +867 if self.ticker and not self.figi: +868 instrumentByTicker = self.SearchByTicker(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! +869 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" +870 +871 if not self.ticker and self.figi: +872 instrumentByFigi = self.SearchByFIGI(requestPrice=False) # WARNING! requestPrice=False to avoid recursion! +873 self.ticker = instrumentByFigi["ticker"] if instrumentByFigi else "" +874 +875 if not self.figi: +876 uLogger.error("FIGI is not determined!") +877 +878 else: +879 uLogger.debug("Requesting current prices for instrument with ticker [{}] and FIGI [{}]...".format(self.ticker, self.figi)) +880 +881 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetOrderBook +882 priceURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetOrderBook" +883 self.body = str({"figi": self.figi, "depth": self.depth}) +884 pricesResponse = self.SendAPIRequest(priceURL, reqType="POST") +885 +886 if pricesResponse: +887 # list of dicts with sellers orders: +888 prices["buy"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["asks"]] +889 +890 # list of dicts with buyers orders: +891 prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] +892 +893 # max price of instrument at this time: +894 prices["limitUp"] = round(NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]), 6) if "limitUp" in pricesResponse.keys() else None +895 +896 # min price of instrument at this time: +897 prices["limitDown"] = round(NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]), 6) if "limitDown" in pricesResponse.keys() else None +898 +899 # last price of deal with instrument: +900 prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 +901 +902 # last close price of instrument: +903 prices["closePrice"] = NanoToFloat(pricesResponse["closePrice"]["units"], pricesResponse["closePrice"]["nano"]) if "closePrice" in pricesResponse.keys() else 0 +904 +905 else: +906 uLogger.warning("Server return an empty or error response! See full log. Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) +907 uLogger.debug("Server response: {}".format(pricesResponse)) +908 +909 if showPrice: +910 if prices["buy"] or prices["sell"]: +911 info = [ +912 "Orders book actual at [{}] (UTC)\nTicker: [{}], FIGI: [{}], Depth of Market: [{}]\n".format( +913 datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S"), +914 self.ticker, +915 self.figi, +916 self.depth, +917 ), +918 uLog.sepShort, "\n", +919 " Orders of Buyers | Orders of Sellers\n", +920 uLog.sepShort, "\n", +921 " Sell prices (vol.) | Buy prices (vol.)\n", +922 uLog.sepShort, "\n", +923 ] +924 +925 if not prices["buy"]: +926 info.append(" | No orders!\n") +927 sumBuy = 0 +928 +929 else: +930 sumBuy = sum([x["quantity"] for x in prices["buy"]]) +931 maxMinSorted = sorted(prices["buy"], key=lambda k: k["price"], reverse=True) +932 for item in maxMinSorted: +933 info.append(" | {} ({})\n".format(item["price"], item["quantity"])) +934 +935 if not prices["sell"]: +936 info.append("No orders! |\n") +937 sumSell = 0 +938 +939 else: +940 sumSell = sum([x["quantity"] for x in prices["sell"]]) +941 for item in prices["sell"]: +942 info.append("{:>19} |\n".format("{} ({})".format(item["price"], item["quantity"]))) +943 +944 info.extend([ +945 uLog.sepShort, "\n", +946 "{:>19} | {}\n".format("Total sell: {}".format(sumSell), "Total buy: {}".format(sumBuy)), +947 uLog.sepShort, "\n", +948 ]) +949 +950 infoText = "".join(info) +951 +952 uLogger.info("Current prices in order book:\n\n{}".format(infoText)) +953 +954 else: +955 uLogger.warning("Orders book is empty at this time! Instrument: ticker [{}], FIGI [{}]".format(self.ticker, self.figi)) +956 +957 return pricesReturns
-946 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: -947 """ -948 This method get and show information about all available broker instruments. -949 If `instrumentsFile` string is not empty then also save information to this file. -950 -951 :param showInstruments: if `True` then print results to console, if `False` - print only to file. -952 :return: multi-string with all available broker instruments -953 """ -954 if not self.iList: -955 self.iList = self.Listing() -956 -957 info = [ -958 "# All available instruments from Tinkoff Broker server for current user token\n\n", -959 "* **Actual on date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), -960 ] -961 -962 # add instruments count by type: -963 for iType in self.iList.keys(): -964 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) -965 -966 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step\n" -967 splitLine = "|--------------|----------------------------------------------------------------|--------------|-----|--------|---------\n" -968 -969 # generating info tables with all instruments by type: -970 for iType in self.iList.keys(): -971 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) -972 -973 for instrument in self.iList[iType].keys(): -974 iName = self.iList[iType][instrument]["name"] # instrument's name -975 if len(iName) > 63: -976 iName = "{}...".format(iName[:60]) # right trim for a long string -977 -978 info.append("| {:<12} | {:<63}| {:<13}| {:<4}| {:<7}| {}\n".format( -979 self.iList[iType][instrument]["ticker"], -980 iName, -981 self.iList[iType][instrument]["figi"], -982 self.iList[iType][instrument]["currency"], -983 self.iList[iType][instrument]["lot"], -984 str(self.iList[iType][instrument]["step"]).rstrip("0"), -985 )) -986 -987 infoText = "".join(info) -988 -989 if showInstruments: -990 uLogger.info(infoText) -991 -992 if self.instrumentsFile: -993 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: -994 fH.write(infoText) -995 -996 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) -997 -998 return infoText +@@ -7957,84 +8223,84 @@959 def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: + 960 """ + 961 This method get and show information about all available broker instruments. + 962 If `instrumentsFile` string is not empty then also save information to this file. + 963 + 964 :param showInstruments: if `True` then print results to console, if `False` - print only to file. + 965 :return: multi-string with all available broker instruments + 966 """ + 967 if not self.iList: + 968 self.iList = self.Listing() + 969 + 970 info = [ + 971 "# All available instruments from Tinkoff Broker server for current user token\n\n", + 972 "* **Actual on date:** [{} UTC]\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + 973 ] + 974 + 975 # add instruments count by type: + 976 for iType in self.iList.keys(): + 977 info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) + 978 + 979 headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step |\n" + 980 splitLine = "|--------------|-----------------------------------------------------------|--------------|-----|---------|------------|\n" + 981 + 982 # generating info tables with all instruments by type: + 983 for iType in self.iList.keys(): + 984 info.extend(["\n\n## {} available. Total: [{}]\n\n".format(iType, len(self.iList[iType])), headerLine, splitLine]) + 985 + 986 for instrument in self.iList[iType].keys(): + 987 iName = self.iList[iType][instrument]["name"] # instrument's name + 988 if len(iName) > 57: + 989 iName = "{}...".format(iName[:54]) # right trim for a long string + 990 + 991 info.append("| {:<12} | {:<57} | {:<12} | {:<3} | {:<7} | {:<10} |\n".format( + 992 self.iList[iType][instrument]["ticker"], + 993 iName, + 994 self.iList[iType][instrument]["figi"], + 995 self.iList[iType][instrument]["currency"], + 996 self.iList[iType][instrument]["lot"], + 997 "{:.10f}".format(self.iList[iType][instrument]["step"]).rstrip("0").rstrip(".") if self.iList[iType][instrument]["step"] > 0 else 0, + 998 )) + 999 +1000 infoText = "".join(info) +1001 +1002 if showInstruments: +1003 uLogger.info(infoText) +1004 +1005 if self.instrumentsFile: +1006 with open(self.instrumentsFile, "w", encoding="UTF-8") as fH: +1007 fH.write(infoText) +1008 +1009 uLogger.info("All available instruments are saved to file: [{}]".format(os.path.abspath(self.instrumentsFile))) +1010 +1011 return infoTextReturns
-1000 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: -1001 """ -1002 This method search and show information about instruments by part of its ticker, FIGI or name. -1003 If `searchResultsFile` string is not empty then also save information to this file. -1004 -1005 :param pattern: string with part of ticker, FIGI or instrument's name. -1006 :param showResults: if `True` then print results to console, if `False` - return list of result only. -1007 :return: list of dictionaries with all found instruments. -1008 """ -1009 if not self.iList: -1010 self.iList = self.Listing() -1011 -1012 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments -1013 compiledPattern = re.compile(pattern, re.IGNORECASE) -1014 -1015 for iType in self.iList: -1016 for instrument in self.iList[iType].values(): -1017 searchResult = compiledPattern.search(" ".join( -1018 [instrument["ticker"], instrument["figi"], instrument["name"]] -1019 )) -1020 -1021 if searchResult: -1022 searchResults[iType][instrument["ticker"]] = instrument -1023 -1024 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) -1025 info = [ -1026 "# Search results\n\n", -1027 "* **Search pattern:** [{}]\n".format(pattern), -1028 "* **Found instruments:** [{}]\n\n".format(resultsLen), -1029 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" -1030 ] -1031 infoShort = info[:] -1032 -1033 headerLine = "| Type | Ticker | Full name | FIGI |\n" -1034 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" -1035 skippedLine = "| ... | ... | ... | ... |\n" -1036 -1037 if resultsLen == 0: -1038 info.append("\nNo results\n") -1039 infoShort.append("\nNo results\n") -1040 uLogger.warning("No results. Try changing your search pattern.") -1041 -1042 else: -1043 for iType in searchResults: -1044 iTypeValuesCount = len(searchResults[iType].values()) -1045 if iTypeValuesCount > 0: -1046 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1047 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) -1048 -1049 for instrument in searchResults[iType].values(): -1050 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( -1051 instrument["type"], -1052 instrument["ticker"], -1053 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string -1054 instrument["figi"], -1055 )) -1056 -1057 if iTypeValuesCount <= 5: -1058 infoShort.extend(info[-iTypeValuesCount:]) -1059 -1060 else: -1061 infoShort.extend(info[-5:]) -1062 infoShort.append(skippedLine) -1063 -1064 infoText = "".join(info) -1065 infoTextShort = "".join(infoShort) -1066 -1067 if showResults: -1068 uLogger.info(infoTextShort) -1069 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") -1070 -1071 if self.searchResultsFile: -1072 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: -1073 fH.write(infoText) -1074 -1075 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) -1076 -1077 return searchResults +@@ -8068,98 +8334,97 @@1013 def SearchInstruments(self, pattern: str, showResults: bool = False) -> dict: +1014 """ +1015 This method search and show information about instruments by part of its ticker, FIGI or name. +1016 If `searchResultsFile` string is not empty then also save information to this file. +1017 +1018 :param pattern: string with part of ticker, FIGI or instrument's name. +1019 :param showResults: if `True` then print results to console, if `False` - return list of result only. +1020 :return: list of dictionaries with all found instruments. +1021 """ +1022 if not self.iList: +1023 self.iList = self.Listing() +1024 +1025 searchResults = {iType: {} for iType in self.iList} # same as iList but will contains only filtered instruments +1026 compiledPattern = re.compile(pattern, re.IGNORECASE) +1027 +1028 for iType in self.iList: +1029 for instrument in self.iList[iType].values(): +1030 searchResult = compiledPattern.search(" ".join( +1031 [instrument["ticker"], instrument["figi"], instrument["name"]] +1032 )) +1033 +1034 if searchResult: +1035 searchResults[iType][instrument["ticker"]] = instrument +1036 +1037 resultsLen = sum([len(searchResults[iType]) for iType in searchResults]) +1038 info = [ +1039 "# Search results\n\n", +1040 "* **Search pattern:** [{}]\n".format(pattern), +1041 "* **Found instruments:** [{}]\n\n".format(resultsLen), +1042 "**Note:** you can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t TICKER --info` or `tksbrokerapi -f FIGI --info`.\n" +1043 ] +1044 infoShort = info[:] +1045 +1046 headerLine = "| Type | Ticker | Full name | FIGI |\n" +1047 splitLine = "|------------|--------------|----------------------------------------------------------------|--------------|\n" +1048 skippedLine = "| ... | ... | ... | ... |\n" +1049 +1050 if resultsLen == 0: +1051 info.append("\nNo results\n") +1052 infoShort.append("\nNo results\n") +1053 uLogger.warning("No results. Try changing your search pattern.") +1054 +1055 else: +1056 for iType in searchResults: +1057 iTypeValuesCount = len(searchResults[iType].values()) +1058 if iTypeValuesCount > 0: +1059 info.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1060 infoShort.extend(["\n### {}: [{}]\n\n".format(iType, iTypeValuesCount), headerLine, splitLine]) +1061 +1062 for instrument in searchResults[iType].values(): +1063 info.append("| {:<10} | {:<12} | {:<63}| {:<13}|\n".format( +1064 instrument["type"], +1065 instrument["ticker"], +1066 "{}...".format(instrument["name"][:60]) if len(instrument["name"]) > 63 else instrument["name"], # right trim for a long string +1067 instrument["figi"], +1068 )) +1069 +1070 if iTypeValuesCount <= 5: +1071 infoShort.extend(info[-iTypeValuesCount:]) +1072 +1073 else: +1074 infoShort.extend(info[-5:]) +1075 infoShort.append(skippedLine) +1076 +1077 infoText = "".join(info) +1078 infoTextShort = "".join(infoShort) +1079 +1080 if showResults: +1081 uLogger.info(infoTextShort) +1082 uLogger.info("You can view info about found instruments with key `--info`, e.g.: `tksbrokerapi -t IBM --info` or `tksbrokerapi -f BBG000BLNNH6 --info`") +1083 +1084 if self.searchResultsFile: +1085 with open(self.searchResultsFile, "w", encoding="UTF-8") as fH: +1086 fH.write(infoText) +1087 +1088 uLogger.info("Full search results were saved to file: [{}]".format(os.path.abspath(self.searchResultsFile))) +1089 +1090 return searchResultsReturns
-1079 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: -1080 """ -1081 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! -1082 See limits: https://tinkoff.github.io/investAPI/limits/ -1083 If `pricesFile` string is not empty then also save information to this file. -1084 -1085 :param instruments: list of tickers or FIGIs. -1086 :param showPrices: if `True` then print to console, if `False` - print only to file. -1087 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` -1088 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. -1089 """ -1090 if instruments is None or not instruments: -1091 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") -1092 -1093 uLogger.debug("Requesting current prices of list of instruments from Tinkoff Broker server...") -1094 -1095 iList = [] -1096 for iName in instruments: -1097 if iName not in self.aliases.keys(): -1098 iList.append(iName) -1099 -1100 else: -1101 iList.append(self.aliases[iName]) -1102 -1103 unique = set() # create list with every figi only one time with the same order position: -1104 tempNames = [item for item in iList if not (item in unique or unique.add(item))] -1105 -1106 uLogger.debug("Ordered input list of instruments without duplicates of names: {}".format(tempNames)) -1107 -1108 iList = [] # try to get info about all unique instruments: -1109 for iName in tempNames: -1110 self.ticker = iName -1111 iData = self.SearchByTicker(requestPrice=True) -1112 -1113 if not iData: -1114 self.ticker = "" -1115 self.figi = iName -1116 -1117 iData = self.SearchByFIGI(requestPrice=True) -1118 -1119 if not iData: -1120 self.figi = "" -1121 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) -1122 -1123 if iData: -1124 isUnique = True -1125 for item in iList: -1126 if item["figi"] == iData["figi"] or item["ticker"] == iData["ticker"]: -1127 isUnique = False -1128 break -1129 -1130 if isUnique: -1131 iList.append(iData) -1132 -1133 if showPrices: -1134 info = [ -1135 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), -1136 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr.\n", -1137 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|------\n", -1138 ] -1139 -1140 for item in iList: -1141 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {}\n".format( -1142 item["ticker"], -1143 item["figi"], -1144 item["type"], -1145 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), -1146 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), -1147 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), -1148 "{} / {}".format( -1149 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", -1150 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", -1151 ), -1152 "{} / {}".format( -1153 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", -1154 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", -1155 ), -1156 item["currency"], -1157 )) -1158 -1159 infoText = "".join(info) -1160 -1161 if showPrices: -1162 uLogger.info("Only unique instruments are shown:\n{}".format(infoText)) -1163 -1164 if self.pricesFile: -1165 with open(self.pricesFile, "w", encoding="UTF-8") as fH: -1166 fH.write(infoText) -1167 -1168 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) -1169 -1170 return iList +@@ -8195,22 +8460,22 @@1092 def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> list: +1093 """ +1094 This method get, maybe show and return prices of list of instruments. WARNING! This is potential long operation! +1095 See limits: https://tinkoff.github.io/investAPI/limits/ +1096 If `pricesFile` string is not empty then also save information to this file. +1097 +1098 :param instruments: list of tickers or FIGIs. +1099 :param showPrices: if `True` then print to console, if `False` - print only to file. +1100 :return: list of instruments looks like this: `iList = [{some ticker info, "currentPrice": {current prices}}, {...}, ...]` +1101 One item is dict returned by `SearchByTicker()` or `SearchByFIGI()` methods. +1102 """ +1103 if instruments is None or not instruments: +1104 raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") +1105 +1106 requestedInstruments = [] +1107 for iName in instruments: +1108 if iName not in self.aliases.keys(): +1109 if iName not in requestedInstruments: +1110 requestedInstruments.append(iName) +1111 +1112 else: +1113 if iName not in requestedInstruments: +1114 if self.aliases[iName] not in requestedInstruments: +1115 requestedInstruments.append(self.aliases[iName]) +1116 +1117 uLogger.debug("Requested instruments without duplicates of tickers and FIGIs: {}".format(requestedInstruments)) +1118 +1119 onlyUniqueFIGIs = [] +1120 for iName in requestedInstruments: +1121 self.ticker = iName +1122 iData = self.SearchByTicker(requestPrice=False) # trying to find instrument by ticker +1123 +1124 if not iData: +1125 self.ticker = "" +1126 self.figi = iName +1127 +1128 iData = self.SearchByFIGI(requestPrice=False) # trying to find instrument by FIGI +1129 +1130 if not iData: +1131 self.figi = "" +1132 uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) +1133 +1134 if iData and iData["figi"] not in onlyUniqueFIGIs: +1135 onlyUniqueFIGIs.append(iData["figi"]) +1136 +1137 uLogger.debug("Unique list of FIGIs: {}".format(onlyUniqueFIGIs)) +1138 uLogger.debug("Requesting current prices from Tinkoff Broker server...") +1139 +1140 iList = [] # trying to get info and current prices about all unique instruments: +1141 for self.figi in onlyUniqueFIGIs: +1142 iData = self.SearchByFIGI(requestPrice=True) +1143 iList.append(iData) +1144 +1145 if showPrices: +1146 info = [ +1147 "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), +1148 "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr. |\n", +1149 "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|-------|\n", +1150 ] +1151 +1152 for item in iList: +1153 info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {:<5} |\n".format( +1154 item["ticker"], +1155 item["figi"], +1156 item["type"], +1157 "{:.2f}".format(float(item["currentPrice"]["closePrice"])), +1158 "{:.2f}".format(float(item["currentPrice"]["lastPrice"])), +1159 "{}{:.2f}".format("+" if item["currentPrice"]["changes"] > 0 else "", float(item["currentPrice"]["changes"])), +1160 "{} / {}".format( +1161 item["currentPrice"]["limitDown"] if item["currentPrice"]["limitDown"] is not None else "N/A", +1162 item["currentPrice"]["limitUp"] if item["currentPrice"]["limitUp"] is not None else "N/A", +1163 ), +1164 "{} / {}".format( +1165 item["currentPrice"]["sell"][0]["price"] if item["currentPrice"]["sell"] else "N/A", +1166 item["currentPrice"]["buy"][0]["price"] if item["currentPrice"]["buy"] else "N/A", +1167 ), +1168 item["currency"], +1169 )) +1170 +1171 infoText = "".join(info) +1172 +1173 if showPrices: +1174 uLogger.info("Only instruments with unique FIGIs are shown:\n{}".format(infoText)) +1175 +1176 if self.pricesFile: +1177 with open(self.pricesFile, "w", encoding="UTF-8") as fH: +1178 fH.write(infoText) +1179 +1180 uLogger.info("Price list for all instruments saved to file: [{}]".format(os.path.abspath(self.pricesFile))) +1181 +1182 return iListReturns
-1172 def RequestPortfolio(self) -> dict: -1173 """ -1174 Requesting current actual user's portfolio. -1175 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio -1176 -1177 :return: dictionary with user's portfolio. -1178 """ -1179 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") -1180 -1181 self.body = str({"accountId": self.accountId}) -1182 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" -1183 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") -1184 -1185 uLogger.debug("Records about user's portfolio successfully received") -1186 -1187 return rawPortfolio +@@ -8237,22 +8502,22 @@1184 def RequestPortfolio(self) -> dict: +1185 """ +1186 Requesting current actual user's portfolio. +1187 REST API for user portfolio: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPortfolio +1188 +1189 :return: dictionary with user's portfolio. +1190 """ +1191 uLogger.debug("Requesting current actual user's portfolio. Wait, please...") +1192 +1193 self.body = str({"accountId": self.accountId}) +1194 portfolioURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPortfolio" +1195 rawPortfolio = self.SendAPIRequest(portfolioURL, reqType="POST") +1196 +1197 uLogger.debug("Records about user's portfolio successfully received") +1198 +1199 return rawPortfolioReturns
-1189 def RequestPositions(self) -> dict: -1190 """ -1191 Requesting current open positions in currencies and instruments. -1192 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions -1193 -1194 :return: dictionary with open positions by instruments. -1195 """ -1196 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") -1197 -1198 self.body = str({"accountId": self.accountId}) -1199 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" -1200 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") -1201 -1202 uLogger.debug("Records about current open positions successfully received") -1203 -1204 return rawPositions +@@ -8279,22 +8544,22 @@1201 def RequestPositions(self) -> dict: +1202 """ +1203 Requesting current open positions in currencies and instruments. +1204 REST API for open positions: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetPositions +1205 +1206 :return: dictionary with open positions by instruments. +1207 """ +1208 uLogger.debug("Requesting current open positions in currencies and instruments. Wait, please...") +1209 +1210 self.body = str({"accountId": self.accountId}) +1211 positionsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetPositions" +1212 rawPositions = self.SendAPIRequest(positionsURL, reqType="POST") +1213 +1214 uLogger.debug("Records about current open positions successfully received") +1215 +1216 return rawPositionsReturns
-1206 def RequestPendingOrders(self) -> list: -1207 """ -1208 Requesting current actual pending orders. -1209 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders -1210 -1211 :return: list of dictionaries with pending orders. -1212 """ -1213 uLogger.debug("Requesting current actual pending orders. Wait, please...") -1214 -1215 self.body = str({"accountId": self.accountId}) -1216 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" -1217 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] -1218 -1219 uLogger.debug("[{}] records about pending orders successfully received".format(len(rawOrders))) -1220 -1221 return rawOrders +@@ -8321,22 +8586,22 @@1218 def RequestPendingOrders(self) -> list: +1219 """ +1220 Requesting current actual pending orders. +1221 REST API for pending (market) orders: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_GetOrders +1222 +1223 :return: list of dictionaries with pending orders. +1224 """ +1225 uLogger.debug("Requesting current actual pending orders. Wait, please...") +1226 +1227 self.body = str({"accountId": self.accountId}) +1228 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" +1229 rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] +1230 +1231 uLogger.debug("[{}] records about pending orders received".format(len(rawOrders))) +1232 +1233 return rawOrdersReturns
1223 def RequestStopOrders(self) -> list: -1224 """ -1225 Requesting current actual stop orders. -1226 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders -1227 -1228 :return: list of dictionaries with stop orders. -1229 """ -1230 uLogger.debug("Requesting current actual stop orders. Wait, please...") -1231 -1232 self.body = str({"accountId": self.accountId}) -1233 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" -1234 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] -1235 -1236 uLogger.debug("[{}] records about stop orders successfully received".format(len(rawStopOrders))) -1237 -1238 return rawStopOrders +@@ -8357,714 +8622,779 @@1235 def RequestStopOrders(self) -> list: +1236 """ +1237 Requesting current actual stop orders. +1238 REST API for opened stop-orders: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_GetStopOrders +1239 +1240 :return: list of dictionaries with stop orders. +1241 """ +1242 uLogger.debug("Requesting current actual stop orders. Wait, please...") +1243 +1244 self.body = str({"accountId": self.accountId}) +1245 ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" +1246 rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] +1247 +1248 uLogger.debug("[{}] records about stop orders received".format(len(rawStopOrders))) +1249 +1250 return rawStopOrdersReturns
def - Overview(self, showStatistics: bool = False) -> dict: + Overview(self, showStatistics: bool = False, details: str = 'full') -> dict:-1240 def Overview(self, showStatistics: bool = False) -> dict: -1241 """ -1242 Get portfolio: all open positions, orders and some statistics for defined accountId. -1243 If `overviewFile` is define then also save information to file. -1244 -1245 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. -1246 :return: dictionary with client's raw portfolio and some statistics. -1247 """ -1248 view = { -1249 "raw": { # --- raw portfolio responses from broker with user portfolio data: -1250 "headers": {}, # list of dictionaries, response headers without "positions" section -1251 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section -1252 "Shares": [], # list of dictionaries, open trades with shares from "positions" section -1253 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section -1254 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section -1255 "Futures": [], # list of dictionaries, open trades with futures from "positions" section -1256 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client -1257 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders -1258 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders -1259 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB -1260 }, -1261 "stat": { # --- some statistics calculated using "raw" sections: -1262 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) -1263 "availableRUB": 0., # available rubles (without other currencies) -1264 "blockedRUB": 0., # blocked sum in Russian Rouble -1265 "totalChangesRUB": 0., # changes for all open trades in RUB -1266 "totalChangesPercentRUB": 0., # changes for all open trades in percents -1267 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB -1268 "sharesCostRUB": 0., # costs of all shares in RUB -1269 "bondsCostRUB": 0., # costs of all bonds in RUB -1270 "etfsCostRUB": 0., # costs of all etfs in RUB -1271 "futuresCostRUB": 0., # costs of all futures in RUB -1272 "Currencies": [], # list of dictionaries of all currencies statistics -1273 "Shares": [], # list of dictionaries of all shares statistics -1274 "Bonds": [], # list of dictionaries of all bonds statistics -1275 "Etfs": [], # list of dictionaries of all etfs statistics -1276 "Futures": [], # list of dictionaries of all futures statistics -1277 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters -1278 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters -1279 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} -1280 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} -1281 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1282 }, -1283 "analytics": { # --- some analytics of portfolio: -1284 "distrByAssets": {}, # portfolio distribution by assets -1285 "distrByCompanies": {}, # portfolio distribution by companies -1286 "distrBySectors": {}, # portfolio distribution by sectors -1287 "distrByCurrencies": {}, # portfolio distribution by currencies -1288 "distrByCountries": {}, # portfolio distribution by countries -1289 } -1290 } -1291 -1292 if showStatistics: -1293 uLogger.debug("Requesting portfolio of a client. Wait, please...") -1294 -1295 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) -1296 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) -1297 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) -1298 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) -1299 -1300 # save response headers without "positions" section: -1301 for key in portfolioResponse.keys(): -1302 if key != "positions": -1303 view["raw"]["headers"][key] = portfolioResponse[key] -1304 -1305 else: -1306 continue -1307 -1308 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation -1309 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS -1310 for item in portfolioResponse["positions"]: -1311 if item["instrumentType"] == "currency": -1312 self.figi = item["figi"] -1313 curr = self.SearchByFIGI(requestPrice=False) -1314 -1315 # current price of currency in RUB: -1316 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { -1317 "name": curr["name"], -1318 "currentPrice": NanoToFloat( -1319 item["currentPrice"]["units"], -1320 item["currentPrice"]["nano"] -1321 ), -1322 } -1323 -1324 view["raw"]["Currencies"].append(item) -1325 -1326 elif item["instrumentType"] == "share": -1327 view["raw"]["Shares"].append(item) -1328 -1329 elif item["instrumentType"] == "bond": -1330 view["raw"]["Bonds"].append(item) -1331 -1332 elif item["instrumentType"] == "etf": -1333 view["raw"]["Etfs"].append(item) -1334 -1335 elif item["instrumentType"] == "futures": -1336 view["raw"]["Futures"].append(item) -1337 -1338 else: -1339 continue -1340 -1341 # how many volume of currencies (by ISO currency name) are blocked: -1342 for item in view["raw"]["positions"]["blocked"]: -1343 blocked = NanoToFloat(item["units"], item["nano"]) -1344 if blocked > 0: -1345 view["stat"]["blockedCurrencies"][item["currency"]] = blocked -1346 -1347 # how many volume of instruments (by FIGI) are blocked: -1348 for item in view["raw"]["positions"]["securities"]: -1349 blocked = int(item["blocked"]) -1350 if blocked > 0: -1351 view["stat"]["blockedInstruments"][item["figi"]] = blocked -1352 -1353 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} -1354 -1355 if "rub" in allBlocked.keys(): -1356 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles -1357 -1358 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: -1359 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) -1360 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) -1361 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) -1362 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) -1363 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) -1364 view["stat"]["portfolioCostRUB"] = sum([ -1365 view["stat"]["allCurrenciesCostRUB"], -1366 view["stat"]["sharesCostRUB"], -1367 view["stat"]["bondsCostRUB"], -1368 view["stat"]["etfsCostRUB"], -1369 view["stat"]["futuresCostRUB"], -1370 ]) -1371 -1372 # --- calculating some portfolio statistics: -1373 byComp = {} # distribution by companies -1374 bySect = {} # distribution by sectors -1375 byCurr = {} # distribution by currencies (include RUB) -1376 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" -1377 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) -1378 -1379 for item in portfolioResponse["positions"]: -1380 self.figi = item["figi"] -1381 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI -1382 -1383 if instrument: -1384 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): -1385 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency -1386 -1387 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): -1388 blocked = allBlocked[item["figi"]] # blocked volume of other instruments -1389 -1390 else: -1391 blocked = 0 -1392 -1393 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument -1394 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument -1395 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long -1396 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price -1397 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price -1398 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment -1399 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. -1400 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset -1401 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) -1402 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName -1403 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles -1404 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost -1405 -1406 statData = { -1407 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method -1408 "ticker": instrument["ticker"], # ticker by FIGI -1409 "currency": currency, # currency name rub, usd, eur etc. for instrument price -1410 "volume": volume, # available volume of instrument -1411 "lots": lots, # volume in lots of instrument -1412 "direction": direction, # direction of an instrument's position: short or long -1413 "blocked": blocked, # blocked volume of currency or instrument -1414 "currentPrice": curPrice, # current instrument's price in basic asset -1415 "average": average, # current average position price -1416 "cost": cost, # current cost of all volume of instrument in basic asset -1417 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) -1418 "costRUB": costRUB, # cost of instrument in ruble -1419 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB -1420 "profit": profit, # expected profit at current moment -1421 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument -1422 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", -1423 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments -1424 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only -1425 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName -1426 "step": instrument["step"], # minimum price increment -1427 } -1428 -1429 # adding distribution by unique countries: -1430 if statData["country"] not in byCountry.keys(): -1431 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} -1432 -1433 else: -1434 byCountry[statData["country"]]["cost"] += costRUB -1435 byCountry[statData["country"]]["percent"] += percentCostRUB -1436 -1437 if item["instrumentType"] != "currency": -1438 # adding distribution by unique companies: -1439 if statData["name"]: -1440 if statData["name"] not in byComp.keys(): -1441 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} -1442 -1443 else: -1444 byComp[statData["name"]]["cost"] += costRUB -1445 byComp[statData["name"]]["percent"] += percentCostRUB -1446 -1447 # adding distribution by unique sectors: -1448 if statData["sector"] not in bySect.keys(): -1449 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} -1450 -1451 else: -1452 bySect[statData["sector"]]["cost"] += costRUB -1453 bySect[statData["sector"]]["percent"] += percentCostRUB -1454 -1455 # adding distribution by unique currencies: -1456 if currency not in byCurr.keys(): -1457 byCurr[currency] = { -1458 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], -1459 "cost": costRUB, -1460 "percent": percentCostRUB -1461 } -1462 -1463 else: -1464 byCurr[currency]["cost"] += costRUB -1465 byCurr[currency]["percent"] += percentCostRUB -1466 -1467 # saving statistics for every instrument: -1468 if item["instrumentType"] == "currency": -1469 view["stat"]["Currencies"].append(statData) -1470 -1471 # update dict with free funds for trading (total - blocked) by currencies -1472 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} -1473 view["stat"]["funds"][currency] = { -1474 "total": volume, -1475 "totalCostRUB": costRUB, # total volume cost in rubles -1476 "free": volume - blocked, -1477 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles -1478 } -1479 -1480 elif item["instrumentType"] == "share": -1481 view["stat"]["Shares"].append(statData) -1482 -1483 elif item["instrumentType"] == "bond": -1484 view["stat"]["Bonds"].append(statData) -1485 -1486 elif item["instrumentType"] == "etf": -1487 view["stat"]["Etfs"].append(statData) -1488 -1489 elif item["instrumentType"] == "Futures": -1490 view["stat"]["Futures"].append(statData) -1491 -1492 else: -1493 continue -1494 -1495 # total changes in Russian Ruble: -1496 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies -1497 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. -1498 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) -1499 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost -1500 view["stat"]["funds"]["rub"] = { -1501 "total": view["stat"]["availableRUB"], -1502 "totalCostRUB": view["stat"]["availableRUB"], -1503 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1504 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], -1505 } -1506 -1507 # --- pending orders sector data: -1508 for item in view["raw"]["orders"]: -1509 self.figi = item["figi"] -1510 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1511 -1512 if instrument: -1513 action = TKS_ORDER_DIRECTIONS[item["direction"]] -1514 orderType = TKS_ORDER_TYPES[item["orderType"]] -1515 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] -1516 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1517 -1518 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1519 if item["direction"] == "ORDER_DIRECTION_BUY": -1520 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1521 -1522 else: -1523 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1524 -1525 # requested price for order execution: -1526 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) -1527 -1528 # necessary changes in percent to reach target from current price: -1529 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1530 -1531 view["stat"]["orders"].append({ -1532 "orderID": item["orderId"], # orderId number parameter of current order -1533 "figi": item["figi"], # FIGI identification -1534 "ticker": instrument["ticker"], # ticker name by FIGI -1535 "lotsRequested": item["lotsRequested"], # requested lots value -1536 "lotsExecuted": item["lotsExecuted"], # how many lots are executed -1537 "currentPrice": lastPrice, # current instrument's price for defined action -1538 "targetPrice": target, # requested price for order execution in base currency -1539 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency -1540 "percentChanges": changes, # changes in percent to target from current price -1541 "currency": item["currency"], # instrument's currency name -1542 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS -1543 "type": orderType, # type of order from TKS_ORDER_TYPES -1544 "status": orderState, # order status from TKS_ORDER_STATES -1545 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) -1546 }) -1547 -1548 # --- stop orders sector data: -1549 for item in view["raw"]["stopOrders"]: -1550 self.figi = item["figi"] -1551 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI -1552 -1553 if instrument: -1554 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] -1555 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] -1556 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" -1557 -1558 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order -1559 if "expirationTime" in item.keys(): -1560 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] -1561 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] -1562 -1563 else: -1564 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] -1565 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] -1566 -1567 # current instrument's price (last sellers order if buy, and last buyers order if sell): -1568 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": -1569 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" -1570 -1571 else: -1572 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" -1573 -1574 # requested price when stop-order executed: -1575 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) -1576 -1577 # price for limit-order, set up when stop-order executed: -1578 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) -1579 -1580 # necessary changes in percent to reach target from current price: -1581 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 -1582 -1583 view["stat"]["stopOrders"].append({ -1584 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order -1585 "figi": item["figi"], # FIGI identification -1586 "ticker": instrument["ticker"], # ticker name by FIGI -1587 "lotsRequested": item["lotsRequested"], # requested lots value -1588 "currentPrice": lastPrice, # current instrument's price for defined action -1589 "targetPrice": target, # requested price for stop-order execution in base currency -1590 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order -1591 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency -1592 "percentChanges": changes, # changes in percent to target from current price -1593 "currency": item["currency"], # instrument's currency name -1594 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS -1595 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES -1596 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES -1597 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) -1598 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) -1599 }) -1600 -1601 # --- calculating data for analytics section: -1602 # portfolio distribution by assets: -1603 view["analytics"]["distrByAssets"] = { -1604 "Ruble": { -1605 "uniques": 1, -1606 "cost": view["stat"]["availableRUB"], -1607 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1608 }, -1609 "Currencies": { -1610 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB -1611 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], -1612 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1613 }, -1614 "Shares": { -1615 "uniques": len(view["stat"]["Shares"]), -1616 "cost": view["stat"]["sharesCostRUB"], -1617 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1618 }, -1619 "Bonds": { -1620 "uniques": len(view["stat"]["Bonds"]), -1621 "cost": view["stat"]["bondsCostRUB"], -1622 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1623 }, -1624 "Etfs": { -1625 "uniques": len(view["stat"]["Etfs"]), -1626 "cost": view["stat"]["etfsCostRUB"], -1627 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1628 }, -1629 "Futures": { -1630 "uniques": len(view["stat"]["Futures"]), -1631 "cost": view["stat"]["futuresCostRUB"], -1632 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1633 }, -1634 } -1635 -1636 # portfolio distribution by companies: -1637 view["analytics"]["distrByCompanies"]["All money cash"] = { -1638 "ticker": "", -1639 "cost": view["stat"]["allCurrenciesCostRUB"], -1640 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., -1641 } -1642 view["analytics"]["distrByCompanies"].update(byComp) -1643 -1644 # portfolio distribution by sectors: -1645 view["analytics"]["distrBySectors"]["All money cash"] = { -1646 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], -1647 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], -1648 } -1649 view["analytics"]["distrBySectors"].update(bySect) -1650 -1651 # portfolio distribution by currencies: -1652 view["analytics"]["distrByCurrencies"].update(byCurr) -1653 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] -1654 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] -1655 -1656 # portfolio distribution by countries: -1657 view["analytics"]["distrByCountries"].update(byCountry) -1658 -1659 # --- Prepare text statistics overview in human-readable: -1660 if showStatistics: -1661 info = [ -1662 "# Client's portfolio\n\n", -1663 "* **Actual date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), -1664 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1665 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( -1666 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1667 view["stat"]["totalChangesRUB"], -1668 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1669 view["stat"]["totalChangesPercentRUB"], -1670 ), -1671 "## Open positions\n\n", -1672 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%)\n", -1673 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|----------------------\n", -1674 "| Ruble | {:>31} | | | | |\n".format( -1675 "{:.2f} ({:.2f}) rub".format( -1676 view["stat"]["availableRUB"], -1677 view["stat"]["blockedRUB"], -1678 ) -1679 ) -1680 ] -1681 -1682 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: -1683 return [ -1684 "| | | | | | |\n", -1685 "| {:<27} | | | | | {:>19} |\n".format( -1686 noTradeStr if noTradeStr else typeStr, -1687 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), -1688 ), -1689 ] -1690 -1691 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: -1692 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {}\n".format( -1693 "{} [{}]".format(data["ticker"], data["figi"]), -1694 "{:.2f} ({:.2f}) {}".format( -1695 data["volume"], -1696 data["blocked"], -1697 data["currency"], -1698 ) if showCurrencyName else "{:.0f} ({:.0f})".format( -1699 data["volume"], -1700 data["blocked"], -1701 ), -1702 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), -1703 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", -1704 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", -1705 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), -1706 "{}{:.2f} {} ({}{:.2f}%)".format( -1707 "+" if data["profit"] > 0 else "", -1708 data["profit"], data["baseCurrencyName"], -1709 "+" if data["percentProfit"] > 0 else "", -1710 data["percentProfit"], -1711 ), -1712 ) -1713 -1714 # --- Show currencies section: -1715 if view["stat"]["Currencies"]: -1716 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) -1717 for item in view["stat"]["Currencies"]: -1718 info.append(_InfoStr(item, showCurrencyName=True)) -1719 -1720 else: -1721 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) -1722 -1723 # --- Show shares section: -1724 if view["stat"]["Shares"]: -1725 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) -1726 -1727 for item in view["stat"]["Shares"]: -1728 info.append(_InfoStr(item)) -1729 -1730 else: -1731 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) -1732 -1733 # --- Show bonds section: -1734 if view["stat"]["Bonds"]: -1735 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) -1736 -1737 for item in view["stat"]["Bonds"]: -1738 info.append(_InfoStr(item)) -1739 -1740 else: -1741 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) -1742 -1743 # --- Show etfs section: -1744 if view["stat"]["Etfs"]: -1745 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) -1746 -1747 for item in view["stat"]["Etfs"]: -1748 info.append(_InfoStr(item)) -1749 -1750 else: -1751 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) -1752 -1753 # --- Show futures section: -1754 if view["stat"]["Futures"]: -1755 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) -1756 -1757 for item in view["stat"]["Futures"]: -1758 info.append(_InfoStr(item)) -1759 -1760 else: -1761 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) -1762 -1763 # --- Show pending orders section: -1764 if view["stat"]["orders"]: -1765 info.extend([ -1766 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), -1767 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC)\n", -1768 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|---------------------\n", -1769 ]) -1770 for item in view["stat"]["orders"]: -1771 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {}\n".format( -1772 "{} [{}]".format(item["ticker"], item["figi"]), -1773 item["orderID"], -1774 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), -1775 "{} {} ({}{:.2f}%)".format( -1776 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1777 item["baseCurrencyName"], -1778 "+" if item["percentChanges"] > 0 else "", -1779 float(item["percentChanges"]), -1780 ), -1781 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1782 item["action"], -1783 item["type"], -1784 item["date"], -1785 )) -1786 -1787 else: -1788 info.append("\n## Total pending limit-orders: 0\n") -1789 -1790 # --- Show stop orders section: -1791 if view["stat"]["stopOrders"]: -1792 info.extend([ -1793 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), -1794 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC)\n", -1795 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------\n", -1796 ]) -1797 for item in view["stat"]["stopOrders"]: -1798 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {}\n".format( -1799 "{} [{}]".format(item["ticker"], item["figi"]), -1800 item["orderID"], -1801 item["lotsRequested"], -1802 "{} {} ({}{:.2f}%)".format( -1803 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), -1804 item["baseCurrencyName"], -1805 "+" if item["percentChanges"] > 0 else "", -1806 float(item["percentChanges"]), -1807 ), -1808 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), -1809 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], -1810 item["action"], -1811 item["type"], -1812 item["expType"], -1813 item["createDate"], -1814 item["expDate"], -1815 )) -1816 -1817 else: -1818 info.append("\n## Total stop-orders: 0\n") -1819 -1820 # -- Show analytics section: -1821 if view["stat"]["portfolioCostRUB"] > 0: -1822 info.extend([ -1823 "\n# Analytics\n" -1824 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), -1825 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( -1826 "+" if view["stat"]["totalChangesRUB"] > 0 else "", -1827 view["stat"]["totalChangesRUB"], -1828 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", -1829 view["stat"]["totalChangesPercentRUB"], -1830 ), -1831 "\n## Portfolio distribution by assets\n" -1832 "\n| Type | Uniques | Percent | Current cost\n", -1833 "|------------|---------|---------|-----------------\n", -1834 ]) -1835 -1836 for key in view["analytics"]["distrByAssets"].keys(): -1837 if view["analytics"]["distrByAssets"][key]["cost"] > 0: -1838 info.append("| {:<10} | {:<7} | {:<7} | {:.2f} rub\n".format( -1839 key, -1840 view["analytics"]["distrByAssets"][key]["uniques"], -1841 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), -1842 view["analytics"]["distrByAssets"][key]["cost"], -1843 )) -1844 -1845 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) -1846 info.extend([ -1847 "\n## Portfolio distribution by companies\n" -1848 "\n| Company{} | Percent | Current cost\n".format(" " * (maxLenNames - 7)), -1849 "|--------{}-|---------|-----------------\n".format("-" * (maxLenNames - 7)), -1850 ]) -1851 -1852 for company in view["analytics"]["distrByCompanies"].keys(): -1853 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: -1854 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) -1855 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1856 "{}{}{}".format( -1857 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", -1858 company, -1859 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), -1860 ), -1861 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), -1862 view["analytics"]["distrByCompanies"][company]["cost"], -1863 )) -1864 -1865 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) -1866 info.extend([ -1867 "\n## Portfolio distribution by sectors\n" -1868 "\n| Sector{} | Percent | Current cost\n".format(" " * (maxLenSectors - 6)), -1869 "|-------{}-|---------|-----------------\n".format("-" * (maxLenSectors - 6)), -1870 ]) -1871 -1872 for sector in view["analytics"]["distrBySectors"].keys(): -1873 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: -1874 info.append("| {}{} | {:<7} | {:.2f} rub\n".format( -1875 sector, -1876 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), -1877 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), -1878 view["analytics"]["distrBySectors"][sector]["cost"], -1879 )) -1880 -1881 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) -1882 info.extend([ -1883 "\n## Portfolio distribution by currencies\n" -1884 "\n| Instruments currencies{} | Percent | Current cost\n".format(" " * (maxLenMoney - 22)), -1885 "|-----------------------{}-|---------|-----------------\n".format("-" * (maxLenMoney - 22)), -1886 ]) -1887 -1888 for curr in view["analytics"]["distrByCurrencies"].keys(): -1889 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: -1890 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) -1891 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1892 "[{}] {}{}".format( -1893 curr, -1894 view["analytics"]["distrByCurrencies"][curr]["name"], -1895 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), -1896 ), -1897 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), -1898 view["analytics"]["distrByCurrencies"][curr]["cost"], -1899 )) -1900 -1901 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) -1902 info.extend([ -1903 "\n## Portfolio distribution by countries\n" -1904 "\n| Assets by country{} | Percent | Current cost\n".format(" " * (maxLenCountry - 17)), -1905 "|------------------{}-|---------|-----------------\n".format("-" * (maxLenCountry - 17)), -1906 ]) -1907 -1908 for country in view["analytics"]["distrByCountries"].keys(): -1909 if view["analytics"]["distrByCountries"][country]["cost"] > 0: -1910 nameLen = len(country) -1911 info.append("| {} | {:<7} | {:.2f} rub\n".format( -1912 "{}{}".format( -1913 country, -1914 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), -1915 ), -1916 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), -1917 view["analytics"]["distrByCountries"][country]["cost"], -1918 )) -1919 -1920 infoText = "".join(info) -1921 -1922 if showStatistics: -1923 uLogger.info("Statistics of client's portfolio:\n{}".format(infoText)) -1924 -1925 if self.overviewFile: -1926 with open(self.overviewFile, "w", encoding="UTF-8") as fH: -1927 fH.write(infoText) -1928 -1929 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(self.overviewFile))) -1930 -1931 return view +1252 def Overview(self, showStatistics: bool = False, details: str = "full") -> dict: +1253 """ +1254 Get portfolio: all open positions, orders and some statistics for defined accountId. +1255 If `overviewFile`, `overviewDigestFile`, `overviewPositionsFile`, `overviewOrdersFile`, `overviewAnalyticsFile` +1256 are defined then also save information to file. +1257 +1258 :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. +1259 :param details: how detailed should the information be? You should specify one of strings: +1260 `full` - shows full available information about portfolio status (by default), +1261 `positions` - shows only open positions, +1262 `digest` - show a short digest of the portfolio status, +1263 `analytics` - shows only the analytics section and the distribution of the portfolio by various categories, +1264 `orders` - shows only sections of open limits and stop orders. +1265 :return: dictionary with client's raw portfolio and some statistics. +1266 """ +1267 view = { +1268 "raw": { # --- raw portfolio responses from broker with user portfolio data: +1269 "headers": {}, # list of dictionaries, response headers without "positions" section +1270 "Currencies": [], # list of dictionaries, open trades with currencies from "positions" section +1271 "Shares": [], # list of dictionaries, open trades with shares from "positions" section +1272 "Bonds": [], # list of dictionaries, open trades with bonds from "positions" section +1273 "Etfs": [], # list of dictionaries, open trades with etfs from "positions" section +1274 "Futures": [], # list of dictionaries, open trades with futures from "positions" section +1275 "positions": {}, # raw response from broker: dictionary with current available or blocked currencies and instruments for client +1276 "orders": [], # raw response from broker: list of dictionaries with all pending (market) orders +1277 "stopOrders": [], # raw response from broker: list of dictionaries with all stop orders +1278 "currenciesCurrentPrices": {"rub": {"name": "Российский рубль", "currentPrice": 1.}}, # dict with prices of all currencies in RUB +1279 }, +1280 "stat": { # --- some statistics calculated using "raw" sections: +1281 "portfolioCostRUB": 0., # portfolio cost in RUB (Russian Rouble) +1282 "availableRUB": 0., # available rubles (without other currencies) +1283 "blockedRUB": 0., # blocked sum in Russian Rouble +1284 "totalChangesRUB": 0., # changes for all open trades in RUB +1285 "totalChangesPercentRUB": 0., # changes for all open trades in percents +1286 "allCurrenciesCostRUB": 0., # costs of all currencies (include rubles) in RUB +1287 "sharesCostRUB": 0., # costs of all shares in RUB +1288 "bondsCostRUB": 0., # costs of all bonds in RUB +1289 "etfsCostRUB": 0., # costs of all etfs in RUB +1290 "futuresCostRUB": 0., # costs of all futures in RUB +1291 "Currencies": [], # list of dictionaries of all currencies statistics +1292 "Shares": [], # list of dictionaries of all shares statistics +1293 "Bonds": [], # list of dictionaries of all bonds statistics +1294 "Etfs": [], # list of dictionaries of all etfs statistics +1295 "Futures": [], # list of dictionaries of all futures statistics +1296 "orders": [], # list of dictionaries of all pending (market) orders and it's parameters +1297 "stopOrders": [], # list of dictionaries of all stop orders and it's parameters +1298 "blockedCurrencies": {}, # dict with blocked instruments and currencies, e.g. {"rub": 1291.87, "usd": 6.21} +1299 "blockedInstruments": {}, # dict with blocked by FIGI, e.g. {} +1300 "funds": {}, # dict with free funds for trading (total - blocked), by all currencies, e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1301 }, +1302 "analytics": { # --- some analytics of portfolio: +1303 "distrByAssets": {}, # portfolio distribution by assets +1304 "distrByCompanies": {}, # portfolio distribution by companies +1305 "distrBySectors": {}, # portfolio distribution by sectors +1306 "distrByCurrencies": {}, # portfolio distribution by currencies +1307 "distrByCountries": {}, # portfolio distribution by countries +1308 } +1309 } +1310 +1311 details = details.lower() +1312 availableDetails = ["full", "positions", "digest", "analytics", "orders"] +1313 if details not in availableDetails: +1314 details = "full" +1315 uLogger.debug("Requested incorrect details! The `details` must be one of this strings: {}. Details parameter set to `full` be default.".format(availableDetails)) +1316 +1317 uLogger.debug("Requesting portfolio of a client. Wait, please...") +1318 +1319 portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) +1320 view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) +1321 view["raw"]["orders"] = self.RequestPendingOrders() # current actual pending orders (list) +1322 view["raw"]["stopOrders"] = self.RequestStopOrders() # current actual stop orders (list) +1323 +1324 # save response headers without "positions" section: +1325 for key in portfolioResponse.keys(): +1326 if key != "positions": +1327 view["raw"]["headers"][key] = portfolioResponse[key] +1328 +1329 else: +1330 continue +1331 +1332 # Re-sorting and separating given raw instruments and currencies by type: https://tinkoff.github.io/investAPI/operations/#operation +1333 # Type of instrument must be only one of supported types in TKS_INSTRUMENTS +1334 for item in portfolioResponse["positions"]: +1335 if item["instrumentType"] == "currency": +1336 self.figi = item["figi"] +1337 curr = self.SearchByFIGI(requestPrice=False) +1338 +1339 # current price of currency in RUB: +1340 view["raw"]["currenciesCurrentPrices"][curr["nominal"]["currency"]] = { +1341 "name": curr["name"], +1342 "currentPrice": NanoToFloat( +1343 item["currentPrice"]["units"], +1344 item["currentPrice"]["nano"] +1345 ), +1346 } +1347 +1348 view["raw"]["Currencies"].append(item) +1349 +1350 elif item["instrumentType"] == "share": +1351 view["raw"]["Shares"].append(item) +1352 +1353 elif item["instrumentType"] == "bond": +1354 view["raw"]["Bonds"].append(item) +1355 +1356 elif item["instrumentType"] == "etf": +1357 view["raw"]["Etfs"].append(item) +1358 +1359 elif item["instrumentType"] == "futures": +1360 view["raw"]["Futures"].append(item) +1361 +1362 else: +1363 continue +1364 +1365 # how many volume of currencies (by ISO currency name) are blocked: +1366 for item in view["raw"]["positions"]["blocked"]: +1367 blocked = NanoToFloat(item["units"], item["nano"]) +1368 if blocked > 0: +1369 view["stat"]["blockedCurrencies"][item["currency"]] = blocked +1370 +1371 # how many volume of instruments (by FIGI) are blocked: +1372 for item in view["raw"]["positions"]["securities"]: +1373 blocked = int(item["blocked"]) +1374 if blocked > 0: +1375 view["stat"]["blockedInstruments"][item["figi"]] = blocked +1376 +1377 allBlocked = {**view["stat"]["blockedCurrencies"], **view["stat"]["blockedInstruments"]} +1378 +1379 if "rub" in allBlocked.keys(): +1380 view["stat"]["blockedRUB"] = allBlocked["rub"] # blocked rubles +1381 +1382 # --- saving current total amount in RUB of all currencies (with ruble), shares, bonds, etfs, futures and currencies: +1383 view["stat"]["allCurrenciesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountCurrencies"]["units"], portfolioResponse["totalAmountCurrencies"]["nano"]) +1384 view["stat"]["sharesCostRUB"] = NanoToFloat(portfolioResponse["totalAmountShares"]["units"], portfolioResponse["totalAmountShares"]["nano"]) +1385 view["stat"]["bondsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountBonds"]["units"], portfolioResponse["totalAmountBonds"]["nano"]) +1386 view["stat"]["etfsCostRUB"] = NanoToFloat(portfolioResponse["totalAmountEtf"]["units"], portfolioResponse["totalAmountEtf"]["nano"]) +1387 view["stat"]["futuresCostRUB"] = NanoToFloat(portfolioResponse["totalAmountFutures"]["units"], portfolioResponse["totalAmountFutures"]["nano"]) +1388 view["stat"]["portfolioCostRUB"] = sum([ +1389 view["stat"]["allCurrenciesCostRUB"], +1390 view["stat"]["sharesCostRUB"], +1391 view["stat"]["bondsCostRUB"], +1392 view["stat"]["etfsCostRUB"], +1393 view["stat"]["futuresCostRUB"], +1394 ]) +1395 +1396 # --- calculating some portfolio statistics: +1397 byComp = {} # distribution by companies +1398 bySect = {} # distribution by sectors +1399 byCurr = {} # distribution by currencies (include RUB) +1400 unknownCountryName = "All other countries" # default name for instruments without "countryOfRisk" and "countryOfRiskName" +1401 byCountry = {unknownCountryName: {"cost": 0, "percent": 0.}} # distribution by countries (currencies are included in their countries) +1402 +1403 for item in portfolioResponse["positions"]: +1404 self.figi = item["figi"] +1405 instrument = self.SearchByFIGI(requestPrice=False) # full raw info about instrument by FIGI +1406 +1407 if instrument: +1408 if item["instrumentType"] == "currency" and instrument["nominal"]["currency"] in allBlocked.keys(): +1409 blocked = allBlocked[instrument["nominal"]["currency"]] # blocked volume of currency +1410 +1411 elif item["instrumentType"] != "currency" and item["figi"] in allBlocked.keys(): +1412 blocked = allBlocked[item["figi"]] # blocked volume of other instruments +1413 +1414 else: +1415 blocked = 0 +1416 +1417 volume = NanoToFloat(item["quantity"]["units"], item["quantity"]["nano"]) # available volume of instrument +1418 lots = NanoToFloat(item["quantityLots"]["units"], item["quantityLots"]["nano"]) # available volume in lots of instrument +1419 direction = "Long" if lots >= 0 else "Short" # direction of an instrument's position: short or long +1420 curPrice = NanoToFloat(item["currentPrice"]["units"], item["currentPrice"]["nano"]) # current instrument's price +1421 average = NanoToFloat(item["averagePositionPriceFifo"]["units"], item["averagePositionPriceFifo"]["nano"]) # current average position price +1422 profit = NanoToFloat(item["expectedYield"]["units"], item["expectedYield"]["nano"]) # expected profit at current moment +1423 currency = instrument["currency"] if (item["instrumentType"] == "share" or item["instrumentType"] == "etf" or item["instrumentType"] == "future") else instrument["nominal"]["currency"] # currency name rub, usd, eur etc. +1424 cost = (curPrice + NanoToFloat(item["currentNkd"]["units"], item["currentNkd"]["nano"])) * volume # current cost of all volume of instrument in basic asset +1425 baseCurrencyName = item["currentPrice"]["currency"] # name of base currency (rub) +1426 countryName = "[{}] {}".format(instrument["countryOfRisk"], instrument["countryOfRiskName"]) if "countryOfRisk" in instrument.keys() and "countryOfRiskName" in instrument.keys() and instrument["countryOfRisk"] and instrument["countryOfRiskName"] else unknownCountryName +1427 costRUB = cost if item["instrumentType"] == "currency" else cost * view["raw"]["currenciesCurrentPrices"][currency]["currentPrice"] # cost in rubles +1428 percentCostRUB = 100 * costRUB / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0. # instrument's part in percent of full portfolio cost +1429 +1430 statData = { +1431 "figi": item["figi"], # FIGI from REST API "GetPortfolio" method +1432 "ticker": instrument["ticker"], # ticker by FIGI +1433 "currency": currency, # currency name rub, usd, eur etc. for instrument price +1434 "volume": volume, # available volume of instrument +1435 "lots": lots, # volume in lots of instrument +1436 "direction": direction, # direction of an instrument's position: short or long +1437 "blocked": blocked, # blocked volume of currency or instrument +1438 "currentPrice": curPrice, # current instrument's price in basic asset +1439 "average": average, # current average position price +1440 "cost": cost, # current cost of all volume of instrument in basic asset +1441 "baseCurrencyName": baseCurrencyName, # name of base currency (rub) +1442 "costRUB": costRUB, # cost of instrument in ruble +1443 "percentCostRUB": percentCostRUB, # instrument's part in percent of full portfolio cost in RUB +1444 "profit": profit, # expected profit at current moment +1445 "percentProfit": 100 * profit / (average * volume) if average != 0 and volume != 0 else 0, # expected percents of profit at current moment for this instrument +1446 "sector": instrument["sector"] if "sector" in instrument.keys() and instrument["sector"] else "other", +1447 "name": instrument["name"] if "name" in instrument.keys() else "", # human-readable names of instruments +1448 "isoCurrencyName": instrument["isoCurrencyName"] if "isoCurrencyName" in instrument.keys() else "", # ISO name for currencies only +1449 "country": countryName, # e.g. "[RU] Российская Федерация" or unknownCountryName +1450 "step": instrument["step"], # minimum price increment +1451 } +1452 +1453 # adding distribution by unique countries: +1454 if statData["country"] not in byCountry.keys(): +1455 byCountry[statData["country"]] = {"cost": costRUB, "percent": percentCostRUB} +1456 +1457 else: +1458 byCountry[statData["country"]]["cost"] += costRUB +1459 byCountry[statData["country"]]["percent"] += percentCostRUB +1460 +1461 if item["instrumentType"] != "currency": +1462 # adding distribution by unique companies: +1463 if statData["name"]: +1464 if statData["name"] not in byComp.keys(): +1465 byComp[statData["name"]] = {"ticker": statData["ticker"], "cost": costRUB, "percent": percentCostRUB} +1466 +1467 else: +1468 byComp[statData["name"]]["cost"] += costRUB +1469 byComp[statData["name"]]["percent"] += percentCostRUB +1470 +1471 # adding distribution by unique sectors: +1472 if statData["sector"] not in bySect.keys(): +1473 bySect[statData["sector"]] = {"cost": costRUB, "percent": percentCostRUB} +1474 +1475 else: +1476 bySect[statData["sector"]]["cost"] += costRUB +1477 bySect[statData["sector"]]["percent"] += percentCostRUB +1478 +1479 # adding distribution by unique currencies: +1480 if currency not in byCurr.keys(): +1481 byCurr[currency] = { +1482 "name": view["raw"]["currenciesCurrentPrices"][currency]["name"], +1483 "cost": costRUB, +1484 "percent": percentCostRUB +1485 } +1486 +1487 else: +1488 byCurr[currency]["cost"] += costRUB +1489 byCurr[currency]["percent"] += percentCostRUB +1490 +1491 # saving statistics for every instrument: +1492 if item["instrumentType"] == "currency": +1493 view["stat"]["Currencies"].append(statData) +1494 +1495 # update dict with free funds for trading (total - blocked) by currencies +1496 # e.g. {"rub": {"total": 10000.99, "totalCostRUB": 10000.99, "free": 1234.56, "freeCostRUB": 1234.56}, "usd": {"total": 250.55, "totalCostRUB": 15375.80, "free": 125.05, "freeCostRUB": 7687.50}} +1497 view["stat"]["funds"][currency] = { +1498 "total": volume, +1499 "totalCostRUB": costRUB, # total volume cost in rubles +1500 "free": volume - blocked, +1501 "freeCostRUB": costRUB * ((volume - blocked) / volume) if volume > 0 else 0, # free volume cost in rubles +1502 } +1503 +1504 elif item["instrumentType"] == "share": +1505 view["stat"]["Shares"].append(statData) +1506 +1507 elif item["instrumentType"] == "bond": +1508 view["stat"]["Bonds"].append(statData) +1509 +1510 elif item["instrumentType"] == "etf": +1511 view["stat"]["Etfs"].append(statData) +1512 +1513 elif item["instrumentType"] == "Futures": +1514 view["stat"]["Futures"].append(statData) +1515 +1516 else: +1517 continue +1518 +1519 # total changes in Russian Ruble: +1520 view["stat"]["availableRUB"] = view["stat"]["allCurrenciesCostRUB"] - sum([item["cost"] for item in view["stat"]["Currencies"]]) # available RUB without other currencies +1521 view["stat"]["totalChangesPercentRUB"] = NanoToFloat(view["raw"]["headers"]["expectedYield"]["units"], view["raw"]["headers"]["expectedYield"]["nano"]) if "expectedYield" in view["raw"]["headers"].keys() else 0. +1522 startCost = view["stat"]["portfolioCostRUB"] / (1 + view["stat"]["totalChangesPercentRUB"] / 100) +1523 view["stat"]["totalChangesRUB"] = view["stat"]["portfolioCostRUB"] - startCost +1524 view["stat"]["funds"]["rub"] = { +1525 "total": view["stat"]["availableRUB"], +1526 "totalCostRUB": view["stat"]["availableRUB"], +1527 "free": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1528 "freeCostRUB": view["stat"]["availableRUB"] - view["stat"]["blockedRUB"], +1529 } +1530 +1531 # --- pending orders sector data: +1532 uniquePendingOrders = [] +1533 uniquePendingOrdersFIGIs = [] +1534 for item in view["raw"]["orders"]: +1535 if item["figi"] not in uniquePendingOrdersFIGIs: +1536 uniquePendingOrdersFIGIs.append(item["figi"]) +1537 uniquePendingOrders.append(item) +1538 +1539 for item in uniquePendingOrders: +1540 self.figi = item["figi"] +1541 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1542 +1543 if instrument: +1544 action = TKS_ORDER_DIRECTIONS[item["direction"]] +1545 orderType = TKS_ORDER_TYPES[item["orderType"]] +1546 orderState = TKS_ORDER_STATES[item["executionReportStatus"]] +1547 orderDate = item["orderDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1548 +1549 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1550 if item["direction"] == "ORDER_DIRECTION_BUY": +1551 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1552 +1553 else: +1554 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1555 +1556 # requested price for order execution: +1557 target = NanoToFloat(item["initialSecurityPrice"]["units"], item["initialSecurityPrice"]["nano"]) +1558 +1559 # necessary changes in percent to reach target from current price: +1560 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1561 +1562 view["stat"]["orders"].append({ +1563 "orderID": item["orderId"], # orderId number parameter of current order +1564 "figi": item["figi"], # FIGI identification +1565 "ticker": instrument["ticker"], # ticker name by FIGI +1566 "lotsRequested": item["lotsRequested"], # requested lots value +1567 "lotsExecuted": item["lotsExecuted"], # how many lots are executed +1568 "currentPrice": lastPrice, # current instrument's price for defined action +1569 "targetPrice": target, # requested price for order execution in base currency +1570 "baseCurrencyName": item["initialSecurityPrice"]["currency"], # name of base currency +1571 "percentChanges": changes, # changes in percent to target from current price +1572 "currency": item["currency"], # instrument's currency name +1573 "action": action, # sell / buy / Unknown from TKS_ORDER_DIRECTIONS +1574 "type": orderType, # type of order from TKS_ORDER_TYPES +1575 "status": orderState, # order status from TKS_ORDER_STATES +1576 "date": orderDate, # string with order date and time from UTC format (without nano seconds part) +1577 }) +1578 +1579 # --- stop orders sector data: +1580 uniqueStopOrders = [] +1581 uniqueStopOrdersFIGIs = [] +1582 for item in view["raw"]["stopOrders"]: +1583 if item["figi"] not in uniqueStopOrdersFIGIs: +1584 uniqueStopOrdersFIGIs.append(item["figi"]) +1585 uniqueStopOrders.append(item) +1586 +1587 for item in uniqueStopOrders: +1588 self.figi = item["figi"] +1589 instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI +1590 +1591 if instrument: +1592 action = TKS_STOP_ORDER_DIRECTIONS[item["direction"]] +1593 orderType = TKS_STOP_ORDER_TYPES[item["orderType"]] +1594 createDate = item["createDate"].replace("T", " ").replace("Z", "").split(".")[0] # date in UTC format, e.g. "2022-12-31T23:59:59.123456Z" +1595 +1596 # hack: server response can't contain "expirationTime" key if it is not "Until date" type of stop order +1597 if "expirationTime" in item.keys(): +1598 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE"] +1599 expDate = item["expirationTime"].replace("T", " ").replace("Z", "").split(".")[0] +1600 +1601 else: +1602 expType = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL"] +1603 expDate = TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"] +1604 +1605 # current instrument's price (last sellers order if buy, and last buyers order if sell): +1606 if item["direction"] == "STOP_ORDER_DIRECTION_BUY": +1607 lastPrice = instrument["currentPrice"]["sell"][0]["price"] if instrument["currentPrice"]["sell"] else "N/A" +1608 +1609 else: +1610 lastPrice = instrument["currentPrice"]["buy"][0]["price"] if instrument["currentPrice"]["buy"] else "N/A" +1611 +1612 # requested price when stop-order executed: +1613 target = NanoToFloat(item["stopPrice"]["units"], item["stopPrice"]["nano"]) +1614 +1615 # price for limit-order, set up when stop-order executed: +1616 limit = NanoToFloat(item["price"]["units"], item["price"]["nano"]) +1617 +1618 # necessary changes in percent to reach target from current price: +1619 changes = 100 * (lastPrice - target) / target if lastPrice != "N/A" and target > 0 else 0 +1620 +1621 view["stat"]["stopOrders"].append({ +1622 "orderID": item["stopOrderId"], # stopOrderId number parameter of current stop-order +1623 "figi": item["figi"], # FIGI identification +1624 "ticker": instrument["ticker"], # ticker name by FIGI +1625 "lotsRequested": item["lotsRequested"], # requested lots value +1626 "currentPrice": lastPrice, # current instrument's price for defined action +1627 "targetPrice": target, # requested price for stop-order execution in base currency +1628 "limitPrice": limit, # price for limit-order, set up when stop-order executed, 0 if market order +1629 "baseCurrencyName": item["stopPrice"]["currency"], # name of base currency +1630 "percentChanges": changes, # changes in percent to target from current price +1631 "currency": item["currency"], # instrument's currency name +1632 "action": action, # sell / buy / Unknown from TKS_STOP_ORDER_DIRECTIONS +1633 "type": orderType, # type of order from TKS_STOP_ORDER_TYPES +1634 "expType": expType, # expiration type of stop-order from TKS_STOP_ORDER_EXPIRATION_TYPES +1635 "createDate": createDate, # string with created order date and time from UTC format (without nano seconds part) +1636 "expDate": expDate, # string with expiration order date and time from UTC format (without nano seconds part) +1637 }) +1638 +1639 # --- calculating data for analytics section: +1640 # portfolio distribution by assets: +1641 view["analytics"]["distrByAssets"] = { +1642 "Ruble": { +1643 "uniques": 1, +1644 "cost": view["stat"]["availableRUB"], +1645 "percent": 100 * view["stat"]["availableRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1646 }, +1647 "Currencies": { +1648 "uniques": len(view["stat"]["Currencies"]), # all foreign currencies without RUB +1649 "cost": view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"], +1650 "percent": 100 * (view["stat"]["allCurrenciesCostRUB"] - view["stat"]["availableRUB"]) / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1651 }, +1652 "Shares": { +1653 "uniques": len(view["stat"]["Shares"]), +1654 "cost": view["stat"]["sharesCostRUB"], +1655 "percent": 100 * view["stat"]["sharesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1656 }, +1657 "Bonds": { +1658 "uniques": len(view["stat"]["Bonds"]), +1659 "cost": view["stat"]["bondsCostRUB"], +1660 "percent": 100 * view["stat"]["bondsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1661 }, +1662 "Etfs": { +1663 "uniques": len(view["stat"]["Etfs"]), +1664 "cost": view["stat"]["etfsCostRUB"], +1665 "percent": 100 * view["stat"]["etfsCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1666 }, +1667 "Futures": { +1668 "uniques": len(view["stat"]["Futures"]), +1669 "cost": view["stat"]["futuresCostRUB"], +1670 "percent": 100 * view["stat"]["futuresCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1671 }, +1672 } +1673 +1674 # portfolio distribution by companies: +1675 view["analytics"]["distrByCompanies"]["All money cash"] = { +1676 "ticker": "", +1677 "cost": view["stat"]["allCurrenciesCostRUB"], +1678 "percent": 100 * view["stat"]["allCurrenciesCostRUB"] / view["stat"]["portfolioCostRUB"] if view["stat"]["portfolioCostRUB"] > 0 else 0., +1679 } +1680 view["analytics"]["distrByCompanies"].update(byComp) +1681 +1682 # portfolio distribution by sectors: +1683 view["analytics"]["distrBySectors"]["All money cash"] = { +1684 "cost": view["analytics"]["distrByCompanies"]["All money cash"]["cost"], +1685 "percent": view["analytics"]["distrByCompanies"]["All money cash"]["percent"], +1686 } +1687 view["analytics"]["distrBySectors"].update(bySect) +1688 +1689 # portfolio distribution by currencies: +1690 view["analytics"]["distrByCurrencies"].update(byCurr) +1691 view["analytics"]["distrByCurrencies"]["rub"]["cost"] += view["analytics"]["distrByAssets"]["Ruble"]["cost"] +1692 view["analytics"]["distrByCurrencies"]["rub"]["percent"] += view["analytics"]["distrByAssets"]["Ruble"]["percent"] +1693 +1694 # portfolio distribution by countries: +1695 view["analytics"]["distrByCountries"].update(byCountry) +1696 +1697 # --- Prepare text statistics overview in human-readable: +1698 if showStatistics: +1699 # Whatever the value `details`, header not changes: +1700 info = [ +1701 "# Client's portfolio\n\n", +1702 "* **Actual date:** [{} UTC]\n" +1703 "".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), +1704 ] +1705 +1706 if details in ["full", "positions", "digest"]: +1707 info.extend([ +1708 "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1709 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( +1710 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1711 view["stat"]["totalChangesRUB"], +1712 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1713 view["stat"]["totalChangesPercentRUB"], +1714 ), +1715 ]) +1716 +1717 if details in ["full", "positions"]: +1718 info.extend([ +1719 "## Open positions\n\n", +1720 "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%) |\n", +1721 "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|------------------------------|\n", +1722 "| Ruble | {:>31} | | | | | |\n".format( +1723 "{:.2f} ({:.2f}) rub".format( +1724 view["stat"]["availableRUB"], +1725 view["stat"]["blockedRUB"], +1726 ) +1727 ) +1728 ]) +1729 +1730 def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: +1731 return [ +1732 "| | | | | | | |\n", +1733 "| {:<27} | | | | | {:>19} | |\n".format( +1734 noTradeStr if noTradeStr else typeStr, +1735 "" if noTradeStr else "{:.2f} RUB".format(CostRUB), +1736 ), +1737 ] +1738 +1739 def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: +1740 return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {:<28} |\n".format( +1741 "{} [{}]".format(data["ticker"], data["figi"]), +1742 "{:.2f} ({:.2f}) {}".format( +1743 data["volume"], +1744 data["blocked"], +1745 data["currency"], +1746 ) if showCurrencyName else "{:.0f} ({:.0f})".format( +1747 data["volume"], +1748 data["blocked"], +1749 ), +1750 "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), +1751 "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", +1752 "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", +1753 "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), +1754 "{}{:.2f} {} ({}{:.2f}%)".format( +1755 "+" if data["profit"] > 0 else "", +1756 data["profit"], data["baseCurrencyName"], +1757 "+" if data["percentProfit"] > 0 else "", +1758 data["percentProfit"], +1759 ), +1760 ) +1761 +1762 # --- Show currencies section: +1763 if view["stat"]["Currencies"]: +1764 info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) +1765 for item in view["stat"]["Currencies"]: +1766 info.append(_InfoStr(item, showCurrencyName=True)) +1767 +1768 else: +1769 info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) +1770 +1771 # --- Show shares section: +1772 if view["stat"]["Shares"]: +1773 info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) +1774 +1775 for item in view["stat"]["Shares"]: +1776 info.append(_InfoStr(item)) +1777 +1778 else: +1779 info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) +1780 +1781 # --- Show bonds section: +1782 if view["stat"]["Bonds"]: +1783 info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) +1784 +1785 for item in view["stat"]["Bonds"]: +1786 info.append(_InfoStr(item)) +1787 +1788 else: +1789 info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) +1790 +1791 # --- Show etfs section: +1792 if view["stat"]["Etfs"]: +1793 info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) +1794 +1795 for item in view["stat"]["Etfs"]: +1796 info.append(_InfoStr(item)) +1797 +1798 else: +1799 info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) +1800 +1801 # --- Show futures section: +1802 if view["stat"]["Futures"]: +1803 info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) +1804 +1805 for item in view["stat"]["Futures"]: +1806 info.append(_InfoStr(item)) +1807 +1808 else: +1809 info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) +1810 +1811 if details in ["full", "orders"]: +1812 # --- Show pending orders section: +1813 if view["stat"]["orders"]: +1814 info.extend([ +1815 "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), +1816 "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC) |\n", +1817 "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|-------------------------|\n", +1818 ]) +1819 +1820 for item in view["stat"]["orders"]: +1821 info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {:<23} |\n".format( +1822 "{} [{}]".format(item["ticker"], item["figi"]), +1823 item["orderID"], +1824 "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), +1825 "{} {} ({}{:.2f}%)".format( +1826 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1827 item["baseCurrencyName"], +1828 "+" if item["percentChanges"] > 0 else "", +1829 float(item["percentChanges"]), +1830 ), +1831 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1832 item["action"], +1833 item["type"], +1834 item["date"], +1835 )) +1836 +1837 else: +1838 info.append("\n## Total pending limit-orders: 0\n") +1839 +1840 # --- Show stop orders section: +1841 if view["stat"]["stopOrders"]: +1842 info.extend([ +1843 "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), +1844 "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC) |\n", +1845 "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------|\n", +1846 ]) +1847 +1848 for item in view["stat"]["stopOrders"]: +1849 info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {:<19} |\n".format( +1850 "{} [{}]".format(item["ticker"], item["figi"]), +1851 item["orderID"], +1852 item["lotsRequested"], +1853 "{} {} ({}{:.2f}%)".format( +1854 "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), +1855 item["baseCurrencyName"], +1856 "+" if item["percentChanges"] > 0 else "", +1857 float(item["percentChanges"]), +1858 ), +1859 "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), +1860 "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], +1861 item["action"], +1862 item["type"], +1863 item["expType"], +1864 item["createDate"], +1865 item["expDate"], +1866 )) +1867 +1868 else: +1869 info.append("\n## Total stop-orders: 0\n") +1870 +1871 if details in ["full", "analytics"]: +1872 # -- Show analytics section: +1873 if view["stat"]["portfolioCostRUB"] > 0: +1874 info.extend([ +1875 "\n# Analytics\n" +1876 "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), +1877 "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( +1878 "+" if view["stat"]["totalChangesRUB"] > 0 else "", +1879 view["stat"]["totalChangesRUB"], +1880 "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", +1881 view["stat"]["totalChangesPercentRUB"], +1882 ), +1883 "\n## Portfolio distribution by assets\n" +1884 "\n| Type | Uniques | Percent | Current cost |\n", +1885 "|------------|---------|---------|--------------------|\n", +1886 ]) +1887 +1888 for key in view["analytics"]["distrByAssets"].keys(): +1889 if view["analytics"]["distrByAssets"][key]["cost"] > 0: +1890 info.append("| {:<10} | {:<7} | {:<7} | {:<18} |\n".format( +1891 key, +1892 view["analytics"]["distrByAssets"][key]["uniques"], +1893 "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), +1894 "{:.2f} rub".format(view["analytics"]["distrByAssets"][key]["cost"]), +1895 )) +1896 +1897 maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) +1898 info.extend([ +1899 "\n## Portfolio distribution by companies\n" +1900 "\n| Company{} | Percent | Current cost |\n".format(" " * (maxLenNames - 7)), +1901 "|--------{}-|---------|--------------------|\n".format("-" * (maxLenNames - 7)), +1902 ]) +1903 +1904 for company in view["analytics"]["distrByCompanies"].keys(): +1905 if view["analytics"]["distrByCompanies"][company]["cost"] > 0: +1906 nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) +1907 info.append("| {} | {:<7} | {:<18} |\n".format( +1908 "{}{}{}".format( +1909 "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", +1910 company, +1911 "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), +1912 ), +1913 "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), +1914 "{:.2f} rub".format(view["analytics"]["distrByCompanies"][company]["cost"]), +1915 )) +1916 +1917 maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) +1918 info.extend([ +1919 "\n## Portfolio distribution by sectors\n" +1920 "\n| Sector{} | Percent | Current cost |\n".format(" " * (maxLenSectors - 6)), +1921 "|-------{}-|---------|--------------------|\n".format("-" * (maxLenSectors - 6)), +1922 ]) +1923 +1924 for sector in view["analytics"]["distrBySectors"].keys(): +1925 if view["analytics"]["distrBySectors"][sector]["cost"] > 0: +1926 info.append("| {}{} | {:<7} | {:<18} |\n".format( +1927 sector, +1928 "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), +1929 "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), +1930 "{:.2f} rub".format(view["analytics"]["distrBySectors"][sector]["cost"]), +1931 )) +1932 +1933 maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) +1934 info.extend([ +1935 "\n## Portfolio distribution by currencies\n" +1936 "\n| Instruments currencies{} | Percent | Current cost |\n".format(" " * (maxLenMoney - 22)), +1937 "|-----------------------{}-|---------|--------------------|\n".format("-" * (maxLenMoney - 22)), +1938 ]) +1939 +1940 for curr in view["analytics"]["distrByCurrencies"].keys(): +1941 if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: +1942 nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) +1943 info.append("| {} | {:<7} | {:<18} |\n".format( +1944 "[{}] {}{}".format( +1945 curr, +1946 view["analytics"]["distrByCurrencies"][curr]["name"], +1947 "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), +1948 ), +1949 "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), +1950 "{:.2f} rub".format(view["analytics"]["distrByCurrencies"][curr]["cost"]), +1951 )) +1952 +1953 maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) +1954 info.extend([ +1955 "\n## Portfolio distribution by countries\n" +1956 "\n| Assets by country{} | Percent | Current cost |\n".format(" " * (maxLenCountry - 17)), +1957 "|------------------{}-|---------|--------------------|\n".format("-" * (maxLenCountry - 17)), +1958 ]) +1959 +1960 for country in view["analytics"]["distrByCountries"].keys(): +1961 if view["analytics"]["distrByCountries"][country]["cost"] > 0: +1962 nameLen = len(country) +1963 info.append("| {} | {:<7} | {:<18} |\n".format( +1964 "{}{}".format( +1965 country, +1966 "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), +1967 ), +1968 "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), +1969 "{:.2f} rub".format(view["analytics"]["distrByCountries"][country]["cost"]), +1970 )) +1971 +1972 infoText = "".join(info) +1973 +1974 if showStatistics: +1975 uLogger.info(infoText) +1976 +1977 if details == "full" and self.overviewFile: +1978 filename = self.overviewFile +1979 +1980 elif details == "digest" and self.overviewDigestFile: +1981 filename = self.overviewDigestFile +1982 +1983 elif details == "positions" and self.overviewPositionsFile: +1984 filename = self.overviewPositionsFile +1985 +1986 elif details == "orders" and self.overviewOrdersFile: +1987 filename = self.overviewOrdersFile +1988 +1989 elif details == "analytics" and self.overviewAnalyticsFile: +1990 filename = self.overviewAnalyticsFile +1991 +1992 else: +1993 filename = "" +1994 +1995 if filename: +1996 with open(filename, "w", encoding="UTF-8") as fH: +1997 fH.write(infoText) +1998 +1999 uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(filename))) +2000 +2001 return view-Get portfolio: all open positions, orders and some statistics for defined accountId. -If
+IfoverviewFileis define then also save information to file.overviewFile,overviewDigestFile,overviewPositionsFile,overviewOrdersFile,overviewAnalyticsFile+are defined then also save information to file.Parameters
- showStatistics: if
+Falsethen only dictionary returns, ifTruethen show more debug information.- details: how detailed should the information be? You should specify one of strings: +
full- shows full available information about portfolio status (by default), +positions- shows only open positions, +digest- show a short digest of the portfolio status, +analytics- shows only the analytics section and the distribution of the portfolio by various categories, +orders- shows only sections of open limits and stop orders.Returns
@@ -9087,256 +9417,256 @@Returns
1933 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: -1934 """ -1935 Returns history operations between two given dates. -1936 If `reportFile` string is not empty then also save human-readable report. -1937 Shows some statistical data of closed positions. -1938 -1939 :param start: see docstring in `GetDatesAsString()` method -1940 :param end: see docstring in `GetDatesAsString()` method -1941 :param printDeals: if `True` then also print all records to the console. -1942 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. -1943 :return: original list of dictionaries with history of deals records from API ("operations" key): -1944 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1945 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. -1946 """ -1947 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") -1948 -1949 uLogger.debug("Requesting history of a client's operations. Wait, please...") -1950 -1951 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations -1952 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" -1953 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) -1954 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker -1955 customStat = {} # custom statistics in additional to responseJSON -1956 -1957 # --- output report in human-readable format: -1958 if printDeals or self.reportFile: -1959 splitLine1 = "| | | | |\n" # Summary section -1960 splitLine2 = "| | | | | | | |\n" # Operations section -1961 nextDay = "" -1962 -1963 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] -1964 -1965 if len(ops) > 0: -1966 customStat = { -1967 "opsCount": 0, # total operations count -1968 "buyCount": 0, # buy operations -1969 "sellCount": 0, # sell operations -1970 "buyTotal": {"rub": 0.}, # Buy sums in different currencies -1971 "sellTotal": {"rub": 0.}, # Sell sums in different currencies -1972 "payIn": {"rub": 0.}, # Deposit brokerage account -1973 "payOut": {"rub": 0.}, # Withdrawals -1974 "divs": {"rub": 0.}, # Dividends income -1975 "coupons": {"rub": 0.}, # Coupon's income -1976 "brokerCom": {"rub": 0.}, # Service commissions -1977 "serviceCom": {"rub": 0.}, # Service commissions -1978 "marginCom": {"rub": 0.}, # Margin commissions -1979 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections -1980 } -1981 -1982 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: -1983 for item in ops: -1984 if item["state"] == "OPERATION_STATE_EXECUTED": -1985 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -1986 -1987 # count buy operations: -1988 if "_BUY" in item["operationType"]: -1989 customStat["buyCount"] += 1 -1990 -1991 if item["payment"]["currency"] in customStat["buyTotal"].keys(): -1992 customStat["buyTotal"][item["payment"]["currency"]] += payment -1993 -1994 else: -1995 customStat["buyTotal"][item["payment"]["currency"]] = payment -1996 -1997 # count sell operations: -1998 elif "_SELL" in item["operationType"]: -1999 customStat["sellCount"] += 1 -2000 -2001 if item["payment"]["currency"] in customStat["sellTotal"].keys(): -2002 customStat["sellTotal"][item["payment"]["currency"]] += payment -2003 -2004 else: -2005 customStat["sellTotal"][item["payment"]["currency"]] = payment -2006 -2007 # count incoming operations: -2008 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: -2009 if item["payment"]["currency"] in customStat["payIn"].keys(): -2010 customStat["payIn"][item["payment"]["currency"]] += payment -2011 -2012 else: -2013 customStat["payIn"][item["payment"]["currency"]] = payment -2014 -2015 # count withdrawals operations: -2016 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: -2017 if item["payment"]["currency"] in customStat["payOut"].keys(): -2018 customStat["payOut"][item["payment"]["currency"]] += payment -2019 -2020 else: -2021 customStat["payOut"][item["payment"]["currency"]] = payment -2022 -2023 # count dividends income: -2024 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: -2025 if item["payment"]["currency"] in customStat["divs"].keys(): -2026 customStat["divs"][item["payment"]["currency"]] += payment -2027 -2028 else: -2029 customStat["divs"][item["payment"]["currency"]] = payment -2030 -2031 # count coupon's income: -2032 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: -2033 if item["payment"]["currency"] in customStat["coupons"].keys(): -2034 customStat["coupons"][item["payment"]["currency"]] += payment -2035 -2036 else: -2037 customStat["coupons"][item["payment"]["currency"]] = payment -2038 -2039 # count broker commissions: -2040 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: -2041 if item["payment"]["currency"] in customStat["brokerCom"].keys(): -2042 customStat["brokerCom"][item["payment"]["currency"]] += payment -2043 -2044 else: -2045 customStat["brokerCom"][item["payment"]["currency"]] = payment -2046 -2047 # count service commissions: -2048 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: -2049 if item["payment"]["currency"] in customStat["serviceCom"].keys(): -2050 customStat["serviceCom"][item["payment"]["currency"]] += payment -2051 -2052 else: -2053 customStat["serviceCom"][item["payment"]["currency"]] = payment -2054 -2055 # count margin commissions: -2056 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: -2057 if item["payment"]["currency"] in customStat["marginCom"].keys(): -2058 customStat["marginCom"][item["payment"]["currency"]] += payment -2059 -2060 else: -2061 customStat["marginCom"][item["payment"]["currency"]] = payment -2062 -2063 # count withholding taxes: -2064 elif "_TAX" in item["operationType"]: -2065 if item["payment"]["currency"] in customStat["allTaxes"].keys(): -2066 customStat["allTaxes"][item["payment"]["currency"]] += payment -2067 -2068 else: -2069 customStat["allTaxes"][item["payment"]["currency"]] = payment -2070 -2071 else: -2072 continue -2073 -2074 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] -2075 -2076 # --- view "Actions" lines: -2077 info.extend([ -2078 "| 1 | 2 | 3 | 4 | 5\n", -2079 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------\n", -2080 "| **Actions:** | Trades: {:<21} | Trading volumes: | |\n".format(customStat["opsCount"]), -2081 "| | Buy: {:<22} | {:<28} | |\n".format( -2082 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2083 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", -2084 ), -2085 "| | Sell: {:<21} | {:<28} | |\n".format( -2086 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, -2087 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", -2088 ), -2089 ]) -2090 -2091 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) -2092 for key in opsKeys: -2093 if key == "rub": -2094 continue -2095 -2096 info.extend([ -2097 "| | | {:<28} | |\n".format( -2098 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) -2099 ), -2100 "| | | {:<28} | |\n".format( -2101 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) -2102 ), -2103 ]) -2104 -2105 info.append(splitLine1) -2106 -2107 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: -2108 return "| | {:<29} | {:<28} | {:<20} | {:<22}\n".format( -2109 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", -2110 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", -2111 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", -2112 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", -2113 ) -2114 -2115 # --- view "Payments" lines: -2116 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income:\n") -2117 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) -2118 -2119 for key in paymentsKeys: -2120 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) -2121 -2122 info.append(splitLine1) -2123 -2124 # --- view "Commissions and taxes" lines: -2125 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections:\n") -2126 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) -2127 -2128 for key in comKeys: -2129 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) -2130 -2131 info.append(splitLine1) -2132 -2133 info.extend([ -2134 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), -2135 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type\n", -2136 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------\n", -2137 ]) -2138 -2139 else: -2140 info.append("Broker returned no operations during this period\n") -2141 -2142 # --- view "Operations" section: -2143 for item in ops: -2144 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: -2145 continue -2146 -2147 else: -2148 self.figi = item["figi"] if item["figi"] else "" -2149 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) -2150 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} -2151 -2152 # group of deals during one day: -2153 if nextDay and item["date"].split("T")[0] != nextDay: -2154 info.append(splitLine2) -2155 nextDay = "" -2156 -2157 else: -2158 nextDay = item["date"].split("T")[0] # saving current day for splitting -2159 -2160 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {}\n".format( -2161 item["date"].replace("T", " ").replace("Z", "").split(".")[0], -2162 self.figi if self.figi else "—", -2163 instrument["ticker"] if instrument else "—", -2164 instrument["type"] if instrument else "—", -2165 item["quantity"] if int(item["quantity"]) > 0 else "—", -2166 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", -2167 TKS_OPERATION_STATES[item["state"]], -2168 TKS_OPERATION_TYPES[item["operationType"]], -2169 )) -2170 -2171 infoText = "".join(info) -2172 -2173 if printDeals: -2174 uLogger.info(infoText) -2175 -2176 if self.reportFile: -2177 with open(self.reportFile, "w", encoding="UTF-8") as fH: -2178 fH.write(infoText) -2179 -2180 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) -2181 -2182 return ops, customStat +@@ -9349,7 +9679,7 @@2003 def Deals(self, start: str = None, end: str = None, printDeals: bool = False, showCancelled: bool = True) -> tuple: +2004 """ +2005 Returns history operations between two given dates. +2006 If `reportFile` string is not empty then also save human-readable report. +2007 Shows some statistical data of closed positions. +2008 +2009 :param start: see docstring in `GetDatesAsString()` method +2010 :param end: see docstring in `GetDatesAsString()` method +2011 :param printDeals: if `True` then also prints all records to the console. +2012 :param showCancelled: if `False` then remove information about cancelled operations from the deals report. +2013 :return: original list of dictionaries with history of deals records from API ("operations" key): +2014 https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2015 and dictionary with custom stats: operations in different currencies, withdrawals, incomes etc. +2016 """ +2017 startDate, endDate = GetDatesAsString(start, end) # Example: ("2000-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2018 +2019 uLogger.debug("Requesting history of a client's operations. Wait, please...") +2020 +2021 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations +2022 dealsURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OperationsService/GetOperations" +2023 self.body = str({"accountId": self.accountId, "from": startDate, "to": endDate}) +2024 ops = self.SendAPIRequest(dealsURL, reqType="POST")["operations"] # list of dict: operations returns by broker +2025 customStat = {} # custom statistics in additional to responseJSON +2026 +2027 # --- output report in human-readable format: +2028 if printDeals or self.reportFile: +2029 splitLine1 = "| | | | | |\n" # Summary section +2030 splitLine2 = "| | | | | | | | |\n" # Operations section +2031 nextDay = "" +2032 +2033 info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] +2034 +2035 if len(ops) > 0: +2036 customStat = { +2037 "opsCount": 0, # total operations count +2038 "buyCount": 0, # buy operations +2039 "sellCount": 0, # sell operations +2040 "buyTotal": {"rub": 0.}, # Buy sums in different currencies +2041 "sellTotal": {"rub": 0.}, # Sell sums in different currencies +2042 "payIn": {"rub": 0.}, # Deposit brokerage account +2043 "payOut": {"rub": 0.}, # Withdrawals +2044 "divs": {"rub": 0.}, # Dividends income +2045 "coupons": {"rub": 0.}, # Coupon's income +2046 "brokerCom": {"rub": 0.}, # Service commissions +2047 "serviceCom": {"rub": 0.}, # Service commissions +2048 "marginCom": {"rub": 0.}, # Margin commissions +2049 "allTaxes": {"rub": 0.}, # Sum of withholding taxes and corrections +2050 } +2051 +2052 # --- calculating statistics depends on operations type in TKS_OPERATION_TYPES: +2053 for item in ops: +2054 if item["state"] == "OPERATION_STATE_EXECUTED": +2055 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2056 +2057 # count buy operations: +2058 if "_BUY" in item["operationType"]: +2059 customStat["buyCount"] += 1 +2060 +2061 if item["payment"]["currency"] in customStat["buyTotal"].keys(): +2062 customStat["buyTotal"][item["payment"]["currency"]] += payment +2063 +2064 else: +2065 customStat["buyTotal"][item["payment"]["currency"]] = payment +2066 +2067 # count sell operations: +2068 elif "_SELL" in item["operationType"]: +2069 customStat["sellCount"] += 1 +2070 +2071 if item["payment"]["currency"] in customStat["sellTotal"].keys(): +2072 customStat["sellTotal"][item["payment"]["currency"]] += payment +2073 +2074 else: +2075 customStat["sellTotal"][item["payment"]["currency"]] = payment +2076 +2077 # count incoming operations: +2078 elif item["operationType"] in ["OPERATION_TYPE_INPUT"]: +2079 if item["payment"]["currency"] in customStat["payIn"].keys(): +2080 customStat["payIn"][item["payment"]["currency"]] += payment +2081 +2082 else: +2083 customStat["payIn"][item["payment"]["currency"]] = payment +2084 +2085 # count withdrawals operations: +2086 elif item["operationType"] in ["OPERATION_TYPE_OUTPUT"]: +2087 if item["payment"]["currency"] in customStat["payOut"].keys(): +2088 customStat["payOut"][item["payment"]["currency"]] += payment +2089 +2090 else: +2091 customStat["payOut"][item["payment"]["currency"]] = payment +2092 +2093 # count dividends income: +2094 elif item["operationType"] in ["OPERATION_TYPE_DIVIDEND", "OPERATION_TYPE_DIVIDEND_TRANSFER", "OPERATION_TYPE_DIV_EXT"]: +2095 if item["payment"]["currency"] in customStat["divs"].keys(): +2096 customStat["divs"][item["payment"]["currency"]] += payment +2097 +2098 else: +2099 customStat["divs"][item["payment"]["currency"]] = payment +2100 +2101 # count coupon's income: +2102 elif item["operationType"] in ["OPERATION_TYPE_COUPON", "OPERATION_TYPE_BOND_REPAYMENT_FULL", "OPERATION_TYPE_BOND_REPAYMENT"]: +2103 if item["payment"]["currency"] in customStat["coupons"].keys(): +2104 customStat["coupons"][item["payment"]["currency"]] += payment +2105 +2106 else: +2107 customStat["coupons"][item["payment"]["currency"]] = payment +2108 +2109 # count broker commissions: +2110 elif item["operationType"] in ["OPERATION_TYPE_BROKER_FEE", "OPERATION_TYPE_SUCCESS_FEE", "OPERATION_TYPE_TRACK_MFEE", "OPERATION_TYPE_TRACK_PFEE"]: +2111 if item["payment"]["currency"] in customStat["brokerCom"].keys(): +2112 customStat["brokerCom"][item["payment"]["currency"]] += payment +2113 +2114 else: +2115 customStat["brokerCom"][item["payment"]["currency"]] = payment +2116 +2117 # count service commissions: +2118 elif item["operationType"] in ["OPERATION_TYPE_SERVICE_FEE"]: +2119 if item["payment"]["currency"] in customStat["serviceCom"].keys(): +2120 customStat["serviceCom"][item["payment"]["currency"]] += payment +2121 +2122 else: +2123 customStat["serviceCom"][item["payment"]["currency"]] = payment +2124 +2125 # count margin commissions: +2126 elif item["operationType"] in ["OPERATION_TYPE_MARGIN_FEE"]: +2127 if item["payment"]["currency"] in customStat["marginCom"].keys(): +2128 customStat["marginCom"][item["payment"]["currency"]] += payment +2129 +2130 else: +2131 customStat["marginCom"][item["payment"]["currency"]] = payment +2132 +2133 # count withholding taxes: +2134 elif "_TAX" in item["operationType"]: +2135 if item["payment"]["currency"] in customStat["allTaxes"].keys(): +2136 customStat["allTaxes"][item["payment"]["currency"]] += payment +2137 +2138 else: +2139 customStat["allTaxes"][item["payment"]["currency"]] = payment +2140 +2141 else: +2142 continue +2143 +2144 customStat["opsCount"] += customStat["buyCount"] + customStat["sellCount"] +2145 +2146 # --- view "Actions" lines: +2147 info.extend([ +2148 "| 1 | 2 | 3 | 4 | 5 |\n", +2149 "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------|\n", +2150 "| **Actions:** | Trades: {:<21} | Trading volumes: | | |\n".format(customStat["opsCount"]), +2151 "| | Buy: {:<22} | {:<28} | | |\n".format( +2152 "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2153 " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", +2154 ), +2155 "| | Sell: {:<21} | {:<28} | | |\n".format( +2156 "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, +2157 " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", +2158 ), +2159 ]) +2160 +2161 opsKeys = sorted(list(set(list(customStat["buyTotal"].keys()) + list(customStat["sellTotal"].keys())))) +2162 for key in opsKeys: +2163 if key == "rub": +2164 continue +2165 +2166 info.extend([ +2167 "| | | {:<28} | | |\n".format( +2168 " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) +2169 ), +2170 "| | | {:<28} | | |\n".format( +2171 " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) +2172 ), +2173 ]) +2174 +2175 info.append(splitLine1) +2176 +2177 def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: +2178 return "| | {:<29} | {:<28} | {:<20} | {:<22} |\n".format( +2179 " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", +2180 " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", +2181 " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", +2182 " {}: {}{:.2f}".format(cur, "+" if data4[cur] > 0 else "", data4[cur]) if cur and cur in data4.keys() and data4[cur] != 0 else " —", +2183 ) +2184 +2185 # --- view "Payments" lines: +2186 info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income: |\n") +2187 paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) +2188 +2189 for key in paymentsKeys: +2190 info.append(_InfoStr(customStat["payIn"], customStat["payOut"], customStat["divs"], customStat["coupons"], key)) +2191 +2192 info.append(splitLine1) +2193 +2194 # --- view "Commissions and taxes" lines: +2195 info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections: |\n") +2196 comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) +2197 +2198 for key in comKeys: +2199 info.append(_InfoStr(customStat["brokerCom"], customStat["serviceCom"], customStat["marginCom"], customStat["allTaxes"], key)) +2200 +2201 info.append(splitLine1) +2202 +2203 info.extend([ +2204 "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), +2205 "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type |\n", +2206 "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------|\n", +2207 ]) +2208 +2209 else: +2210 info.append("Broker returned no operations during this period\n") +2211 +2212 # --- view "Operations" section: +2213 for item in ops: +2214 if not showCancelled and TKS_OPERATION_STATES[item["state"]] == TKS_OPERATION_STATES["OPERATION_STATE_CANCELED"]: +2215 continue +2216 +2217 else: +2218 self.figi = item["figi"] if item["figi"] else "" +2219 payment = NanoToFloat(item["payment"]["units"], item["payment"]["nano"]) +2220 instrument = self.SearchByFIGI(requestPrice=False) if self.figi else {} +2221 +2222 # group of deals during one day: +2223 if nextDay and item["date"].split("T")[0] != nextDay: +2224 info.append(splitLine2) +2225 nextDay = "" +2226 +2227 else: +2228 nextDay = item["date"].split("T")[0] # saving current day for splitting +2229 +2230 info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {:<66} |\n".format( +2231 item["date"].replace("T", " ").replace("Z", "").split(".")[0], +2232 self.figi if self.figi else "—", +2233 instrument["ticker"] if instrument else "—", +2234 instrument["type"] if instrument else "—", +2235 item["quantity"] if int(item["quantity"]) > 0 else "—", +2236 "{}{:.2f} {}".format("+" if payment > 0 else "", payment, item["payment"]["currency"]) if payment != 0 else "—", +2237 TKS_OPERATION_STATES[item["state"]], +2238 TKS_OPERATION_TYPES[item["operationType"]], +2239 )) +2240 +2241 infoText = "".join(info) +2242 +2243 if printDeals: +2244 uLogger.info(infoText) +2245 +2246 if self.reportFile: +2247 with open(self.reportFile, "w", encoding="UTF-8") as fH: +2248 fH.write(infoText) +2249 +2250 uLogger.info("History of a client's operations are saved to file: [{}]".format(os.path.abspath(self.reportFile))) +2251 +2252 return ops, customStatParameters
@@ -9369,196 +9699,221 @@
- start: see docstring in
GetDatesAsString()method- end: see docstring in
-GetDatesAsString()method- printDeals: if
+Truethen also print all records to the console.- printDeals: if
Truethen also prints all records to the console.- showCancelled: if
Falsethen remove information about cancelled operations from the deals report.Returns
def - History(self, onlyMissing: bool = False) + History( self, start: str = None, end: str = None, interval: str = 'hour', onlyMissing: bool = False, csvSep: str = ',', printCandles: bool = False) -> pandas.core.frame.DataFrame:-2184 def History(self, onlyMissing: bool = False): -2185 """ -2186 This method returns last history candles of the current instrument defined by `ticker`. -2187 If `historyFile` is not None then method save history to this file, otherwise return only pandas dataframe. -2188 `historyLength` define how many candles returns from past to current date. -2189 `historyInterval` define candle interval. Available values are strings: `"1min"`, `"2min"`, `"3min"`, `"5min"`, -2190 `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`. -2191 Maximum requested history date in the past: `1970.01.02 03:45` -2192 -2193 :param onlyMissing: if history file define then add only last missing candles, do not request all history length. False by default. -2194 WARNING! History appends only from last candle to current time with replace last candle! Intervals must be similar! -2195 :return: pandas dataframe with prices history. Columns: `date`, `time`, `open`, `high`, `low`, `close`, `volume`. -2196 """ -2197 history = None # empty pandas object for history -2198 # TODO: update history to work with api v2 -2199 # if self.historyLength < 1: -2200 # raise Exception("History length parameter must be >=1!") -2201 # -2202 # if self.historyInterval not in TKS_TIMEFRAMES.keys(): -2203 # raise Exception("Interval parameter must be string with available values: 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month.") -2204 # -2205 # if not (self.ticker or self.figi): -2206 # raise Exception("self.ticker or self.figi variables must be defined!") -2207 # -2208 # if self.ticker and not self.figi: -2209 # instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) -2210 # self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" -2211 # -2212 # endDate = datetime.now(tzutc()) # current time for request history -2213 # tempOld = None # pandas object for old history, if --only-missing key present -2214 # lastTime = None # datetime object of last old candle in file -2215 # minStartDate = datetime.strptime("1970.01.02 03:45", "%Y.%m.%d %H:%M").astimezone(tzutc()) # Maximum requested history date in the past -2216 # -2217 # # get old history saved earlier in file: -2218 # if onlyMissing and self.historyFile and os.path.exists(self.historyFile): -2219 # uLogger.debug("--only-missing key present, so auto decreasing --length value...") -2220 # uLogger.debug("Only append missing last history candles at the end of the file [{}]".format(os.path.abspath(self.historyFile))) -2221 # -2222 # tempOld = pd.read_csv(self.historyFile, sep=",", header=None, names=["date", "time", "open", "high", "low", "close", "volume"]) -2223 # -2224 # tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" -2225 # tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string -2226 # tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" -2227 # tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string -2228 # -2229 # # get last datetime object from last string in file or minus 1 delta if file is empty: -2230 # if len(tempOld) > 0: -2231 # lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2232 # -2233 # else: -2234 # lastTime = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"]) -2235 # uLogger.warning("No history in file, set last date to request at [{}]".format(lastTime)) -2236 # -2237 # delta = endDate - lastTime # current time minus last time in file -2238 # deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between last datetime and current datetime -2239 # -2240 # # calculate new (decreased) history length to download: -2241 # self.historyLength = deltaMinutes // TKS_TIMEFRAMES[self.historyInterval]["minutes"] -2242 # if deltaMinutes % TKS_TIMEFRAMES[self.historyInterval]["minutes"] > 0: -2243 # self.historyLength += 1 # to avoid fraction time -2244 # -2245 # tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time -2246 # -2247 # if self.figi: -2248 # blocks = 1 if self.historyLength <= TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] else 1 + self.historyLength // TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2249 # responseJSONs = [] # raw history blocks -2250 # -2251 # uLogger.debug("Request last history from Tinkoff Broker server for ticker [{}], FIGI [{}]...".format(self.ticker, self.figi)) -2252 # -2253 # uLogger.debug("Requested history length: [{}], interval: [{}]".format(self.historyLength, self.historyInterval)) -2254 # uLogger.debug("User requested time period is about from [{}] to [{}]".format( -2255 # (endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * self.historyLength)).strftime("%Y-%m-%d %H:%M:%S"), -2256 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2257 # )) -2258 # -2259 # uLogger.debug("Blocks count: [{}], max candles in block for this interval: [{}]".format(blocks, TKS_TIMEFRAMES[self.historyInterval]["maxCandles"])) -2260 # -2261 # oldFlag = False -2262 # for item in range(blocks): -2263 # tail = self.historyLength % TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] if item + 1 == blocks else TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] -2264 # startDate = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * tail) -2265 # -2266 # if startDate < minStartDate: -2267 # startDate = minStartDate # set minimum date in the past if delta is too long -2268 # uLogger.debug("Date in the past is too old for request. Set start time to [{}]".format(minStartDate.strftime("%Y-%m-%d %H:%M:%S"))) -2269 # oldFlag = True -2270 # -2271 # uLogger.debug("Block time period: from [{}] to [{}] ({}/{})".format( -2272 # startDate.strftime("%Y-%m-%d %H:%M:%S"), -2273 # endDate.strftime("%Y-%m-%d %H:%M:%S"), -2274 # item + 1, -2275 # blocks, -2276 # )) -2277 # -2278 # historyURL = self.server + r"/market/candles?figi={}&from={}&to={}&interval={}".format( -2279 # self.figi, -2280 # quote(startDate.isoformat()), -2281 # quote(endDate.isoformat()), -2282 # self.historyInterval, -2283 # ) -2284 # responseJSON = self.SendAPIRequest(historyURL, debug=False)["payload"]["candles"] -2285 # -2286 # responseJSONs = responseJSON + responseJSONs # add more old history behind newest dates -2287 # endDate = startDate -2288 # -2289 # if oldFlag: break -2290 # -2291 # if responseJSONs: -2292 # tempHistory = pd.DataFrame( -2293 # data={ -2294 # "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2295 # "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], -2296 # "open": [item["o"] for item in responseJSONs], -2297 # "high": [item["h"] for item in responseJSONs], -2298 # "low": [item["l"] for item in responseJSONs], -2299 # "close": [item["c"] for item in responseJSONs], -2300 # "volume": [item["v"] for item in responseJSONs], -2301 # }, -2302 # index=range(len(responseJSONs)), -2303 # columns=["date", "time", "open", "high", "low", "close", "volume"], -2304 # ) -2305 # tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") -2306 # tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") -2307 # -2308 # # append only newest candles to old history if --only-missing key present: -2309 # if onlyMissing and tempOld is not None and lastTime is not None: -2310 # indx = 0 # find start index in given from server tempHistory data: -2311 # for i, item in tempHistory.iterrows(): -2312 # curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").astimezone(tzutc()) -2313 # if curTime == lastTime: -2314 # uLogger.debug("History candles will be updated starting from the candle with date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) -2315 # indx = i -2316 # break -2317 # -2318 # history = tempOld.append(tempHistory[indx:], ignore_index=True) -2319 # -2320 # else: -2321 # history = tempHistory # if no --only-missing key then load full data from server -2322 # -2323 # uLogger.debug("Showing last 3 rows of candles history:") -2324 # for line in pd.DataFrame.to_string( -2325 # history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], -2326 # max_cols=20, -2327 # ).split("\n"): -2328 # uLogger.debug(line) -2329 # -2330 # if self.historyFile is not None: -2331 # if history is not None: -2332 # history.to_csv(self.historyFile, sep=",", index=False, header=False) -2333 # uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format( -2334 # self.ticker, -2335 # self.figi, -2336 # self.historyInterval, -2337 # os.path.abspath(self.historyFile), -2338 # )) -2339 # -2340 # else: -2341 # uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) -2342 # -2343 # else: -2344 # uLogger.debug("--output key is not defined. Parsed history file not saved to .csv-file, only pandas dataframe returns.") -2345 -2346 return history +-2254 def History(self, start: str = None, end: str = None, interval: str = "hour", onlyMissing: bool = False, +2255 csvSep: str = ",", printCandles: bool = False, +2256 ) -> pd.DataFrame: +2257 """ +2258 This method returns last history candles of the current instrument defined by `ticker` or `figi` (FIGI id). +2259 +2260 History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. +2261 Warning! Broker server used ISO UTC time by default. +2262 +2263 If `historyFile` is not `None` then method save history to file, otherwise return only pandas dataframe. +2264 Also, `historyFile` used to update history with `onlyMissing` parameter. +2265 +2266 :param start: see docstring in `GetDatesAsString()` method. +2267 :param end: see docstring in `GetDatesAsString()` method. +2268 :param interval: this is a candle interval. Current available values are `"1min"`, `"5min"`, `"15min"`, +2269 `"hour"`, `"day"`. Default: `"hour"`. +2270 :param onlyMissing: if `True` then add only last missing candles, do not request all history length from `start`. +2271 False by default. Warning! History appends only from last candle to current time +2272 with always update last candle! +2273 :param csvSep: separator if .csv-file is used, `,` by default. +2274 :param printCandles: if `True` then also prints pandas dataframe to the console. +2275 :return: pandas dataframe with prices history. Headers of columns are defined by default: +2276 `["date", "time", "open", "high", "low", "close", "volume"]`. +2277 """ +2278 strStartDate, strEndDate = GetDatesAsString(start, end) # example: ("2020-01-01T00:00:00Z", "2022-12-31T23:59:59Z") +2279 headers = ["date", "time", "open", "high", "low", "close", "volume"] # sequence and names of column headers +2280 history = None # empty pandas object for history +2281 +2282 if interval not in TKS_CANDLE_INTERVALS.keys(): +2283 raise Exception("Interval parameter must be string with current available values: `1min`, `5min`, `15min`, `hour` and `day`.") +2284 +2285 if not (self.ticker or self.figi): +2286 raise Exception("Ticker or FIGI must be defined!") +2287 +2288 if self.ticker and not self.figi: +2289 instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) +2290 self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" +2291 +2292 if self.figi and not self.ticker: +2293 instrumentByFIGI = self.SearchByFIGI(requestPrice=False, debug=False) +2294 self.ticker = instrumentByFIGI["ticker"] if instrumentByFIGI else "" +2295 +2296 dtStart = datetime.strptime(strStartDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from start time string +2297 dtEnd = datetime.strptime(strEndDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from end time string +2298 if interval.lower() != "day": +2299 dtEnd += timedelta(seconds=1) # adds 1 sec for requests, because day end returned by `GetDatesAsString()` as 23:59:59 +2300 +2301 delta = dtEnd - dtStart # current UTC time minus last time in file +2302 deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between start and end dates +2303 +2304 # calculate history length in candles: +2305 length = deltaMinutes // TKS_CANDLE_INTERVALS[interval][1] +2306 if deltaMinutes % TKS_CANDLE_INTERVALS[interval][1] > 0: +2307 length += 1 # to avoid fraction time +2308 +2309 # calculate data blocks count: +2310 blocks = 1 if length < TKS_CANDLE_INTERVALS[interval][2] else 1 + length // TKS_CANDLE_INTERVALS[interval][2] +2311 +2312 uLogger.debug("Original requested time period in local time: from [{}] to [{}]".format(start, end)) +2313 uLogger.debug("Requested time period is about from [{}] UTC to [{}] UTC".format(strStartDate, strEndDate)) +2314 uLogger.debug("Calculated history length: [{}], interval: [{}]".format(length, interval)) +2315 uLogger.debug("Data blocks, count: [{}], max candles in block: [{}]".format(blocks, TKS_CANDLE_INTERVALS[interval][2])) +2316 uLogger.debug("Requesting history candlesticks, ticker: [{}], FIGI: [{}]. Wait, please...".format(self.ticker, self.figi)) +2317 +2318 tempOld = None # pandas object for old history, if --only-missing key present +2319 lastTime = None # datetime object of last old candle in file +2320 +2321 if onlyMissing and self.historyFile is not None and self.historyFile and os.path.exists(self.historyFile): +2322 uLogger.debug("--only-missing key present, add only last missing candles...") +2323 uLogger.debug("History file will be updated: [{}]".format(os.path.abspath(self.historyFile))) +2324 +2325 tempOld = pd.read_csv(self.historyFile, sep=csvSep, header=None, names=headers) +2326 +2327 tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" +2328 tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string +2329 tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" +2330 tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string +2331 +2332 # get last datetime object from last string in file or minus 1 delta if file is empty: +2333 if len(tempOld) > 0: +2334 lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2335 +2336 else: +2337 lastTime = dtEnd - timedelta(days=1) # history file is empty, so last date set at -1 day +2338 +2339 tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time +2340 +2341 responseJSONs = [] # raw history blocks of data +2342 +2343 blockEnd = dtEnd +2344 for item in range(blocks): +2345 tail = length % TKS_CANDLE_INTERVALS[interval][2] if item + 1 == blocks else TKS_CANDLE_INTERVALS[interval][2] +2346 blockStart = blockEnd - timedelta(minutes=TKS_CANDLE_INTERVALS[interval][1] * tail) +2347 +2348 uLogger.debug("[Block #{}/{}] time period: [{}] UTC - [{}] UTC".format( +2349 item + 1, blocks, blockStart.strftime(TKS_DATE_TIME_FORMAT), blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2350 )) +2351 +2352 if blockStart == blockEnd: +2353 uLogger.debug("Skipped this zero-length block...") +2354 +2355 else: +2356 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles +2357 historyURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetCandles" +2358 self.body = str({ +2359 "figi": self.figi, +2360 "from": blockStart.strftime(TKS_DATE_TIME_FORMAT), +2361 "to": blockEnd.strftime(TKS_DATE_TIME_FORMAT), +2362 "interval": TKS_CANDLE_INTERVALS[interval][0] +2363 }) +2364 responseJSON = self.SendAPIRequest(historyURL, reqType="POST", retry=1, pause=1, debug=False) +2365 +2366 if "code" in responseJSON.keys(): +2367 uLogger.debug("An issue occurred and block #{}/{} is empty".format(item + 1, blocks)) +2368 +2369 else: +2370 if (start.lower() == "yesterday" or start == end) and interval == "day" and len(responseJSON["candles"]) > 1: +2371 responseJSON["candles"] = responseJSON["candles"][:-1] # removes last candle for "yesterday" request +2372 +2373 responseJSONs = responseJSON["candles"] + responseJSONs # add more old history behind newest dates +2374 +2375 blockEnd = blockStart +2376 +2377 printCount = len(responseJSONs) # candles to show in console +2378 if responseJSONs: +2379 tempHistory = pd.DataFrame( +2380 data={ +2381 "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2382 "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], +2383 "open": [NanoToFloat(item["open"]["units"], item["open"]["nano"]) for item in responseJSONs], +2384 "high": [NanoToFloat(item["high"]["units"], item["high"]["nano"]) for item in responseJSONs], +2385 "low": [NanoToFloat(item["low"]["units"], item["low"]["nano"]) for item in responseJSONs], +2386 "close": [NanoToFloat(item["close"]["units"], item["close"]["nano"]) for item in responseJSONs], +2387 "volume": [int(item["volume"]) for item in responseJSONs], +2388 }, +2389 index=range(len(responseJSONs)), +2390 columns=["date", "time", "open", "high", "low", "close", "volume"], +2391 ) +2392 tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") +2393 tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") +2394 +2395 # append only newest candles to old history if --only-missing key present: +2396 if onlyMissing and tempOld is not None and lastTime is not None: +2397 index = 0 # find start index in tempHistory data: +2398 +2399 for i, item in tempHistory.iterrows(): +2400 curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) +2401 +2402 if curTime == lastTime: +2403 uLogger.debug("History will be updated starting from the date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) +2404 index = i +2405 printCount = index + 1 +2406 break +2407 +2408 history = pd.concat([tempOld, tempHistory[index:]], ignore_index=True) +2409 +2410 else: +2411 history = tempHistory # if no `--only-missing` key then load full data from server +2412 +2413 uLogger.debug("Last 3 rows of received history:\n{}".format(pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], max_cols=20, index=False))) +2414 +2415 if printCandles and history is not None and not history.empty: +2416 uLogger.info("Here's requested history between [{}] UTC and [{}] UTC, not-empty candles count: [{}]\n{}".format( +2417 strStartDate.replace("T", " ").replace("Z", ""), strEndDate.replace("T", " ").replace("Z", ""), len(history[-printCount:]), +2418 pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-printCount:], max_cols=20, index=False), +2419 )) +2420 +2421 if self.historyFile is not None: +2422 if history is not None and not history.empty: +2423 history.to_csv(self.historyFile, sep=csvSep, index=False, header=None) +2424 uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format(self.ticker, self.figi, interval, os.path.abspath(self.historyFile))) +2425 +2426 else: +2427 uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) +2428 +2429 else: +2430 uLogger.debug("--output key is not defined. Parsed history file not saved to file, only pandas dataframe returns.") +2431 +2432 return history-This method returns last history candles of the current instrument defined by
+ticker. -IfhistoryFileis not None then method save history to this file, otherwise return only pandas dataframe. -historyLengthdefine how many candles returns from past to current date. -historyIntervaldefine candle interval. Available values are strings:"1min","2min","3min","5min", -"10min","15min","30min","hour","day","week","month". Default:"hour". -Maximum requested history date in the past:1970.01.02 03:45@@ -9575,75 +9930,75 @@This method returns last history candles of the current instrument defined by
+ +tickerorfigi(FIGI id).History returned between two given dates:
+ +startandend. Minimum requested date in the past is1970-01-01. +Warning! Broker server used ISO UTC time by default.If
historyFileis notNonethen method save history to file, otherwise return only pandas dataframe. +Also,historyFileused to update history withonlyMissingparameter.Parameters
-
- onlyMissing: if history file define then add only last missing candles, do not request all history length. False by default. - WARNING! History appends only from last candle to current time with replace last candle! Intervals must be similar!
+- start: see docstring in
+GetDatesAsString()method.- end: see docstring in
+GetDatesAsString()method.- interval: this is a candle interval. Current available values are
+"1min","5min","15min", +"hour","day". Default:"hour".- onlyMissing: if
+Truethen add only last missing candles, do not request all history length fromstart. + False by default. Warning! History appends only from last candle to current time + with always update last candle!- csvSep: separator if .csv-file is used,
+,by default.- printCandles: if
Truethen also prints pandas dataframe to the console.Returns
-pandas dataframe with prices history. Columns:
+date,time,open,high,low,close,volume.pandas dataframe with prices history. Headers of columns are defined by default: +
["date", "time", "open", "high", "low", "close", "volume"].Returns
-2348 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2349 """ -2350 Universal method to create market order and make deal at the current price. Returns JSON data with response. -2351 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2352 -2353 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. -2354 -2355 :param operation: string "Buy" or "Sell". -2356 :param lots: volume, integer count of lots >= 1. -2357 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. -2358 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. -2359 :param expDate: string "Undefined" by default or local date in future, -2360 it is a string with format `%Y-%m-%d %H:%M:%S`. -2361 :return: JSON with response from broker server. -2362 """ -2363 if operation is None or not operation or operation not in ("Buy", "Sell"): -2364 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2365 -2366 if lots is None or lots < 1: -2367 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") -2368 lots = 1 -2369 -2370 if tp is None or tp < 0: -2371 tp = 0 -2372 -2373 if sl is None or sl < 0: -2374 sl = 0 -2375 -2376 if expDate is None or not expDate: -2377 expDate = "Undefined" -2378 -2379 if not (self.ticker or self.figi): -2380 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2381 -2382 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2383 self.ticker = instrument["ticker"] -2384 self.figi = instrument["figi"] -2385 -2386 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) -2387 -2388 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2389 self.body = str({ -2390 "figi": self.figi, -2391 "quantity": str(lots), -2392 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2393 "accountId": str(self.accountId), -2394 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES -2395 }) -2396 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) -2397 -2398 if "orderId" in response.keys(): -2399 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( -2400 operation, response["orderId"], -2401 self.ticker, self.figi, lots, -2402 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], -2403 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], -2404 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], -2405 )) -2406 -2407 else: -2408 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") -2409 -2410 if tp > 0: -2411 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) -2412 -2413 if sl > 0: -2414 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) -2415 -2416 return response +@@ -9683,21 +10038,21 @@2434 def Trade(self, operation: str, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2435 """ +2436 Universal method to create market order and make deal at the current price. Returns JSON data with response. +2437 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2438 +2439 See also: `Order()` docstring. More simple methods than `Trade()` are `Buy()` and `Sell()`. +2440 +2441 :param operation: string "Buy" or "Sell". +2442 :param lots: volume, integer count of lots >= 1. +2443 :param tp: float > 0, target price for stop-order with "TP" type. It used as take profit parameter `targetPrice` in `self.Order()`. +2444 :param sl: float > 0, target price for stop-order with "SL" type. It used as stop loss parameter `targetPrice` in `self.Order()`. +2445 :param expDate: string "Undefined" by default or local date in future, +2446 it is a string with format `%Y-%m-%d %H:%M:%S`. +2447 :return: JSON with response from broker server. +2448 """ +2449 if operation is None or not operation or operation not in ("Buy", "Sell"): +2450 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2451 +2452 if lots is None or lots < 1: +2453 uLogger.warning("You must define trade volume > 0: integer count of lots! For current operation lots reset to 1.") +2454 lots = 1 +2455 +2456 if tp is None or tp < 0: +2457 tp = 0 +2458 +2459 if sl is None or sl < 0: +2460 sl = 0 +2461 +2462 if expDate is None or not expDate: +2463 expDate = "Undefined" +2464 +2465 if not (self.ticker or self.figi): +2466 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2467 +2468 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2469 self.ticker = instrument["ticker"] +2470 self.figi = instrument["figi"] +2471 +2472 uLogger.debug("Opening [{}] market order: ticker [{}], FIGI [{}], lots [{}], TP [{:.4f}], SL [{:.4f}], expiration date of TP/SL orders [{}]. Wait, please...".format(operation, self.ticker, self.figi, lots, tp, sl, expDate)) +2473 +2474 openTradeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2475 self.body = str({ +2476 "figi": self.figi, +2477 "quantity": str(lots), +2478 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2479 "accountId": str(self.accountId), +2480 "orderType": "ORDER_TYPE_MARKET", # see: TKS_ORDER_TYPES +2481 }) +2482 response = self.SendAPIRequest(openTradeURL, reqType="POST", retry=0, debug=False) +2483 +2484 if "orderId" in response.keys(): +2485 uLogger.info("[{}] market order [{}] was executed: ticker [{}], FIGI [{}], lots [{}]. Total order price: [{:.4f} {}] (with commission: [{:.2f} {}]). Average price of lot: [{:.2f} {}]".format( +2486 operation, response["orderId"], +2487 self.ticker, self.figi, lots, +2488 NanoToFloat(response["totalOrderAmount"]["units"], response["totalOrderAmount"]["nano"]), response["totalOrderAmount"]["currency"], +2489 NanoToFloat(response["initialCommission"]["units"], response["initialCommission"]["nano"]), response["initialCommission"]["currency"], +2490 NanoToFloat(response["executedOrderPrice"]["units"], response["executedOrderPrice"]["nano"]), response["executedOrderPrice"]["currency"], +2491 )) +2492 +2493 else: +2494 uLogger.warning("Not `oK` status received! Market order not created. See full debug log or try again and open order later.") +2495 +2496 if tp > 0: +2497 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=tp, limitPrice=tp, stopType="TP", expDate=expDate) +2498 +2499 if sl > 0: +2500 self.Order(operation="Sell" if operation == "Buy" else "Buy", orderType="Stop", lots=lots, targetPrice=sl, limitPrice=sl, stopType="SL", expDate=expDate) +2501 +2502 return responseReturns
-2418 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2419 """ -2420 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. -2421 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2422 -2423 See also: `Order()` and `Trade()` docstrings. -2424 -2425 :param lots: volume, integer count of lots >= 1. -2426 :param tp: float > 0, take profit price of stop-order. -2427 :param sl: float > 0, stop loss price of stop-order. -2428 :param expDate: it's a local date in future. -2429 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2430 :return: JSON with response from broker server. -2431 """ -2432 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate) +@@ -9736,21 +10091,21 @@2504 def Buy(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2505 """ +2506 More simple method than `Trade()`. Create `Buy` market order and make deal at the current price. Returns JSON data with response. +2507 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2508 +2509 See also: `Order()` and `Trade()` docstrings. +2510 +2511 :param lots: volume, integer count of lots >= 1. +2512 :param tp: float > 0, take profit price of stop-order. +2513 :param sl: float > 0, stop loss price of stop-order. +2514 :param expDate: it's a local date in future. +2515 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2516 :return: JSON with response from broker server. +2517 """ +2518 return self.Trade(operation="Buy", lots=lots, tp=tp, sl=sl, expDate=expDate)Returns
-2434 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: -2435 """ -2436 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. -2437 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. -2438 -2439 See also: `Order()` and `Trade()` docstrings. -2440 -2441 :param lots: volume, integer count of lots >= 1. -2442 :param tp: float > 0, take profit price of stop-order. -2443 :param sl: float > 0, stop loss price of stop-order. -2444 :param expDate: it's a local date in future. -2445 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2446 :return: JSON with response from broker server. -2447 """ -2448 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate) +@@ -9789,66 +10144,66 @@2520 def Sell(self, lots: int = 1, tp: float = 0., sl: float = 0., expDate: str = "Undefined") -> dict: +2521 """ +2522 More simple method than `Trade()`. Create `Sell` market order and make deal at the current price. Returns JSON data with response. +2523 If `tp` or `sl` > 0, then in additional will opens stop-orders with "TP" and "SL" flags for `stopType` parameter. +2524 +2525 See also: `Order()` and `Trade()` docstrings. +2526 +2527 :param lots: volume, integer count of lots >= 1. +2528 :param tp: float > 0, take profit price of stop-order. +2529 :param sl: float > 0, stop loss price of stop-order. +2530 :param expDate: it's a local date in future. +2531 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2532 :return: JSON with response from broker server. +2533 """ +2534 return self.Trade(operation="Sell", lots=lots, tp=tp, sl=sl, expDate=expDate)Returns
-2450 def CloseTrades(self, tickers: list, overview: dict = None) -> None: -2451 """ -2452 Close position of given instruments. -2453 -2454 :param tickers: tickers list of instruments that must be closed. -2455 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2456 This avoids unnecessary downloading data from the server. -2457 """ -2458 if not tickers: -2459 uLogger.info("Tickers list is empty, nothing to close.") -2460 -2461 else: -2462 if overview is None or not overview: -2463 overview = self.Overview(showStatistics=False) -2464 -2465 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] -2466 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) -2467 -2468 for ticker in tickers: -2469 if ticker not in allOpenedTickers: -2470 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) -2471 continue -2472 -2473 # search open trade info about instrument by ticker: -2474 instrument = {} -2475 for iType in TKS_INSTRUMENTS: -2476 if instrument: -2477 break -2478 -2479 for item in overview["stat"][iType]: -2480 if item["ticker"] == ticker: -2481 instrument = item -2482 break -2483 -2484 if instrument: -2485 self.ticker = ticker -2486 self.figi = instrument["figi"] -2487 -2488 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( -2489 self.ticker, -2490 self.figi, -2491 int(instrument["volume"]), -2492 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", -2493 )) -2494 -2495 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation -2496 -2497 if tradeLots > 0: -2498 if instrument["blocked"] > 0: -2499 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( -2500 instrument["blocked"], -2501 self.ticker, -2502 tradeLots, -2503 )) -2504 -2505 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: -2506 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) -2507 -2508 else: -2509 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker)) +@@ -9876,29 +10231,29 @@2536 def CloseTrades(self, tickers: list, overview: dict = None) -> None: +2537 """ +2538 Close position of given instruments. +2539 +2540 :param tickers: tickers list of instruments that must be closed. +2541 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2542 This avoids unnecessary downloading data from the server. +2543 """ +2544 if not tickers: +2545 uLogger.info("Tickers list is empty, nothing to close.") +2546 +2547 else: +2548 if overview is None or not overview: +2549 overview = self.Overview(showStatistics=False) +2550 +2551 allOpenedTickers = [item["ticker"] for iType in TKS_INSTRUMENTS for item in overview["stat"][iType]] +2552 uLogger.debug("All opened instruments by it's tickers names: {}".format(allOpenedTickers)) +2553 +2554 for ticker in tickers: +2555 if ticker not in allOpenedTickers: +2556 uLogger.warning("Instrument with ticker [{}] not in open positions list!".format(ticker)) +2557 continue +2558 +2559 # search open trade info about instrument by ticker: +2560 instrument = {} +2561 for iType in TKS_INSTRUMENTS: +2562 if instrument: +2563 break +2564 +2565 for item in overview["stat"][iType]: +2566 if item["ticker"] == ticker: +2567 instrument = item +2568 break +2569 +2570 if instrument: +2571 self.ticker = ticker +2572 self.figi = instrument["figi"] +2573 +2574 uLogger.debug("Closing trade of instrument: ticker [{}], FIGI[{}], lots [{}]{}. Wait, please...".format( +2575 self.ticker, +2576 self.figi, +2577 int(instrument["volume"]), +2578 ", blocked [{}]".format(instrument["blocked"]) if instrument["blocked"] > 0 else "", +2579 )) +2580 +2581 tradeLots = abs(instrument["lots"]) - instrument["blocked"] # available volumes in lots for close operation +2582 +2583 if tradeLots > 0: +2584 if instrument["blocked"] > 0: +2585 uLogger.warning("Just for your information: there are [{}] lots blocked for instrument [{}]! Available only [{}] lots to closing trade.".format( +2586 instrument["blocked"], +2587 self.ticker, +2588 tradeLots, +2589 )) +2590 +2591 # if direction is "Long" then we need sell, if direction is "Short" then we need buy: +2592 self.Trade(operation="Sell" if instrument["direction"] == "Long" else "Buy", lots=tradeLots) +2593 +2594 else: +2595 uLogger.warning("There are no available lots for instrument [{}] to closing trade at this moment! Try again later or cancel some orders.".format(self.ticker))Parameters
-2511 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: -2512 """ -2513 Close all positions of given instruments with defined type. -2514 -2515 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. -2516 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. -2517 This avoids unnecessary downloading data from the server. -2518 """ -2519 if iType not in TKS_INSTRUMENTS: -2520 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) -2521 -2522 else: -2523 if overview is None or not overview: -2524 overview = self.Overview(showStatistics=False) -2525 -2526 tickers = [item["ticker"] for item in overview["stat"][iType]] -2527 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) -2528 -2529 if tickers and overview: -2530 self.CloseTrades(tickers, overview) -2531 -2532 else: -2533 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType)) +@@ -9926,169 +10281,169 @@2597 def CloseAllTrades(self, iType: str, overview: dict = None) -> None: +2598 """ +2599 Close all positions of given instruments with defined type. +2600 +2601 :param iType: type of the instruments that be closed, it must be one of supported types in TKS_INSTRUMENTS list. +2602 :param overview: pre-received dictionary with open trades, returned by `Overview()` method. +2603 This avoids unnecessary downloading data from the server. +2604 """ +2605 if iType not in TKS_INSTRUMENTS: +2606 uLogger.warning("Type of the instrument must be one of supported types: {}. Given: [{}]".format(", ".join(TKS_INSTRUMENTS), iType)) +2607 +2608 else: +2609 if overview is None or not overview: +2610 overview = self.Overview(showStatistics=False) +2611 +2612 tickers = [item["ticker"] for item in overview["stat"][iType]] +2613 uLogger.debug("Instrument tickers with type [{}] that will be closed: {}".format(iType, tickers)) +2614 +2615 if tickers and overview: +2616 self.CloseTrades(tickers, overview) +2617 +2618 else: +2619 uLogger.info("Instrument tickers with type [{}] not found, nothing to close.".format(iType))Parameters
-2535 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2536 """ -2537 Universal method to create market or limit orders with all available parameters. -2538 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. -2539 -2540 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above -2541 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. -2542 -2543 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" -2544 then broker immediately open market order as you can do simple --buy or --sell operations! -2545 -2546 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". -2547 When current price will go up or down to target price value then broker opens a limit order. -2548 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. -2549 -2550 Only one attempt and no retry for opens order. If network issue occurred you can create new request. -2551 -2552 :param operation: string "Buy" or "Sell". -2553 :param orderType: string "Limit" or "Stop". -2554 :param lots: volume, integer count of lots >= 1. -2555 :param targetPrice: target price > 0. This is open trade price for limit order. -2556 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. -2557 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. -2558 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types -2559 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2560 Stop loss order always executed by market price. -2561 :param expDate: string "Undefined" by default or local date in future. -2562 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2563 This date is converting to UTC format for server. This parameter only makes sense for stop-order. -2564 A limit order has no expiration date, it lasts until the end of the trading day. -2565 :return: JSON with response from broker server. -2566 """ -2567 if operation is None or not operation or operation not in ("Buy", "Sell"): -2568 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") -2569 -2570 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): -2571 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") -2572 -2573 if lots is None or lots < 1: -2574 raise Exception("You must define trade volume > 0: integer count of lots!") -2575 -2576 if targetPrice is None or targetPrice <= 0: -2577 raise Exception("Target price for limit-order must be greater than 0!") -2578 -2579 if limitPrice is None or limitPrice <= 0: -2580 limitPrice = targetPrice -2581 -2582 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): -2583 stopType = "Limit" -2584 -2585 if expDate is None or not expDate: -2586 expDate = "Undefined" -2587 -2588 if not (self.ticker or self.figi): -2589 raise Exception("`self.ticker` or `self.figi` variables must be defined!") -2590 -2591 response = {} -2592 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) -2593 self.ticker = instrument["ticker"] -2594 self.figi = instrument["figi"] -2595 -2596 if orderType == "Limit": -2597 uLogger.debug( -2598 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( -2599 self.ticker, self.figi, -2600 operation, lots, targetPrice, instrument["currency"], -2601 )) -2602 -2603 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" -2604 self.body = str({ -2605 "figi": self.figi, -2606 "quantity": str(lots), -2607 "price": FloatToNano(targetPrice), -2608 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS -2609 "accountId": str(self.accountId), -2610 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES -2611 }) -2612 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2613 -2614 if "orderId" in response.keys(): -2615 uLogger.info( -2616 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( -2617 response["orderId"], -2618 self.ticker, self.figi, -2619 operation, lots, targetPrice, instrument["currency"], -2620 )) -2621 -2622 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2623 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: -2624 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( -2625 targetPrice, instrument["currency"], -2626 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2627 )) -2628 -2629 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: -2630 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( -2631 targetPrice, instrument["currency"], -2632 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2633 )) -2634 -2635 else: -2636 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") -2637 -2638 if orderType == "Stop": -2639 uLogger.debug( -2640 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( -2641 self.ticker, self.figi, -2642 operation, lots, -2643 targetPrice, instrument["currency"], -2644 limitPrice, instrument["currency"], -2645 stopType, expDate, -2646 )) -2647 -2648 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" -2649 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") -2650 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" -2651 -2652 body = { -2653 "figi": self.figi, -2654 "quantity": str(lots), -2655 "price": FloatToNano(limitPrice), -2656 "stopPrice": FloatToNano(targetPrice), -2657 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS -2658 "accountId": str(self.accountId), -2659 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES -2660 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES -2661 } -2662 -2663 if expDateUTC: -2664 body["expireDate"] = expDateUTC -2665 -2666 self.body = str(body) -2667 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) -2668 -2669 if "stopOrderId" in response.keys(): -2670 uLogger.info( -2671 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( -2672 response["stopOrderId"], -2673 self.ticker, self.figi, -2674 operation, lots, -2675 targetPrice, instrument["currency"], -2676 limitPrice, instrument["currency"], -2677 TKS_STOP_ORDER_TYPES[stopOrderType], -2678 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], -2679 )) -2680 -2681 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: -2682 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2683 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2684 targetPrice, instrument["currency"], -2685 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2686 )) -2687 -2688 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": -2689 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( -2690 targetPrice, instrument["currency"], -2691 instrument["currentPrice"]["lastPrice"], instrument["currency"], -2692 )) -2693 -2694 else: -2695 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") -2696 -2697 return response +@@ -10145,18 +10500,18 @@2621 def Order(self, operation: str, orderType: str, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2622 """ +2623 Universal method to create market or limit orders with all available parameters. +2624 See more simple methods: `BuyLimit()`, `BuyStop()`, `SellLimit()`, `SellStop()`. +2625 +2626 If orderType is "Limit" then create pending limit-order below current price if operation is "Buy" and above +2627 current price if operation is "Sell". A limit order has no expiration date, it lasts until the end of the trading day. +2628 +2629 Warning! If you try to create limit-order above current price if "Buy" or below current price if "Sell" +2630 then broker immediately open market order as you can do simple --buy or --sell operations! +2631 +2632 If orderType is "Stop" then creates stop-order with any direction "Buy" or "Sell". +2633 When current price will go up or down to target price value then broker opens a limit order. +2634 Stop-order is opened with unlimited expiration date by default, or you can define expiration date with expDate parameter. +2635 +2636 Only one attempt and no retry for opens order. If network issue occurred you can create new request. +2637 +2638 :param operation: string "Buy" or "Sell". +2639 :param orderType: string "Limit" or "Stop". +2640 :param lots: volume, integer count of lots >= 1. +2641 :param targetPrice: target price > 0. This is open trade price for limit order. +2642 :param limitPrice: limit price >= 0. This parameter only makes sense for stop-order. If limitPrice = 0, then it set as targetPrice. +2643 Broker will creates limit-order with price equal to limitPrice, when current price goes to target price of stop-order. +2644 :param stopType: string "Limit" by default. This parameter only makes sense for stop-order. There are 3 stop-order types +2645 "SL", "TP", "Limit" for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2646 Stop loss order always executed by market price. +2647 :param expDate: string "Undefined" by default or local date in future. +2648 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2649 This date is converting to UTC format for server. This parameter only makes sense for stop-order. +2650 A limit order has no expiration date, it lasts until the end of the trading day. +2651 :return: JSON with response from broker server. +2652 """ +2653 if operation is None or not operation or operation not in ("Buy", "Sell"): +2654 raise Exception("You must define operation type only one of them: `Buy` or `Sell`!") +2655 +2656 if orderType is None or not orderType or orderType not in ("Limit", "Stop"): +2657 raise Exception("You must define order type only one of them: `Limit` or `Stop`!") +2658 +2659 if lots is None or lots < 1: +2660 raise Exception("You must define trade volume > 0: integer count of lots!") +2661 +2662 if targetPrice is None or targetPrice <= 0: +2663 raise Exception("Target price for limit-order must be greater than 0!") +2664 +2665 if limitPrice is None or limitPrice <= 0: +2666 limitPrice = targetPrice +2667 +2668 if stopType is None or not stopType or stopType not in ("SL", "TP", "Limit"): +2669 stopType = "Limit" +2670 +2671 if expDate is None or not expDate: +2672 expDate = "Undefined" +2673 +2674 if not (self.ticker or self.figi): +2675 raise Exception("`self.ticker` or `self.figi` variables must be defined!") +2676 +2677 response = {} +2678 instrument = self.SearchByTicker(requestPrice=True, debug=False) if self.ticker else self.SearchByFIGI(requestPrice=True, debug=False) +2679 self.ticker = instrument["ticker"] +2680 self.figi = instrument["figi"] +2681 +2682 if orderType == "Limit": +2683 uLogger.debug( +2684 "Creating pending limit-order: ticker [{}], FIGI [{}], action [{}], lots [{}] and the target price [{:.2f} {}]. Wait, please...".format( +2685 self.ticker, self.figi, +2686 operation, lots, targetPrice, instrument["currency"], +2687 )) +2688 +2689 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/PostOrder" +2690 self.body = str({ +2691 "figi": self.figi, +2692 "quantity": str(lots), +2693 "price": FloatToNano(targetPrice), +2694 "direction": "ORDER_DIRECTION_BUY" if operation == "Buy" else "ORDER_DIRECTION_SELL", # see: TKS_ORDER_DIRECTIONS +2695 "accountId": str(self.accountId), +2696 "orderType": "ORDER_TYPE_LIMIT", # see: TKS_ORDER_TYPES +2697 }) +2698 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2699 +2700 if "orderId" in response.keys(): +2701 uLogger.info( +2702 "Limit-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}]".format( +2703 response["orderId"], +2704 self.ticker, self.figi, +2705 operation, lots, targetPrice, instrument["currency"], +2706 )) +2707 +2708 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2709 if operation == "Buy" and targetPrice > instrument["currentPrice"]["lastPrice"]: +2710 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was higher than current price [{:.2f} {}] broker immediately opened `Buy` market order, such as if you did simple `--buy` operation.".format( +2711 targetPrice, instrument["currency"], +2712 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2713 )) +2714 +2715 if operation == "Sell" and targetPrice < instrument["currentPrice"]["lastPrice"]: +2716 uLogger.warning("Your order was executed as a market order, not as a limit order! Comment: because your target price [{:.2f} {}] was lower than current price [{:.2f} {}] broker immediately opened `Sell` market order, such as if you did simple `--sell` operation.".format( +2717 targetPrice, instrument["currency"], +2718 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2719 )) +2720 +2721 else: +2722 uLogger.warning("Not `oK` status received! Limit order not opened. See full debug log or try again and open order later.") +2723 +2724 if orderType == "Stop": +2725 uLogger.debug( +2726 "Creating stop-order: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and local expiration date [{}]. Wait, please...".format( +2727 self.ticker, self.figi, +2728 operation, lots, +2729 targetPrice, instrument["currency"], +2730 limitPrice, instrument["currency"], +2731 stopType, expDate, +2732 )) +2733 +2734 openOrderURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/PostStopOrder" +2735 expDateUTC = "" if expDate == "Undefined" else datetime.strptime(expDate, "%Y-%m-%d %H:%M:%S").replace(tzinfo=tzlocal()).astimezone(tzutc()).strftime("%Y-%m-%dT%H:%M:%S.%fZ") +2736 stopOrderType = "STOP_ORDER_TYPE_STOP_LOSS" if stopType == "SL" else "STOP_ORDER_TYPE_TAKE_PROFIT" if stopType == "TP" else "STOP_ORDER_TYPE_STOP_LIMIT" +2737 +2738 body = { +2739 "figi": self.figi, +2740 "quantity": str(lots), +2741 "price": FloatToNano(limitPrice), +2742 "stopPrice": FloatToNano(targetPrice), +2743 "direction": "STOP_ORDER_DIRECTION_BUY" if operation == "Buy" else "STOP_ORDER_DIRECTION_SELL", # see: TKS_STOP_ORDER_DIRECTIONS +2744 "accountId": str(self.accountId), +2745 "expirationType": "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE" if expDateUTC else "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL", # see: TKS_STOP_ORDER_EXPIRATION_TYPES +2746 "stopOrderType": stopOrderType, # see: TKS_STOP_ORDER_TYPES +2747 } +2748 +2749 if expDateUTC: +2750 body["expireDate"] = expDateUTC +2751 +2752 self.body = str(body) +2753 response = self.SendAPIRequest(openOrderURL, reqType="POST", retry=0, debug=False) +2754 +2755 if "stopOrderId" in response.keys(): +2756 uLogger.info( +2757 "Stop-order [{}] was created: ticker [{}], FIGI [{}], action [{}], lots [{}], target price [{:.2f} {}], limit price [{:.2f} {}], stop-order type [{}] and expiration date in UTC [{}]".format( +2758 response["stopOrderId"], +2759 self.ticker, self.figi, +2760 operation, lots, +2761 targetPrice, instrument["currency"], +2762 limitPrice, instrument["currency"], +2763 TKS_STOP_ORDER_TYPES[stopOrderType], +2764 datetime.strptime(expDateUTC, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=tzutc()).astimezone(tzutc()).strftime("%Y-%m-%d %H:%M:%S") if expDateUTC else TKS_STOP_ORDER_EXPIRATION_TYPES["STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED"], +2765 )) +2766 +2767 if "lastPrice" in instrument["currentPrice"].keys() and instrument["currentPrice"]["lastPrice"]: +2768 if operation == "Buy" and targetPrice < instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2769 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target buy price [{:.2f} {}] is lower than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2770 targetPrice, instrument["currency"], +2771 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2772 )) +2773 +2774 if operation == "Sell" and targetPrice > instrument["currentPrice"]["lastPrice"] and stopType != "TP": +2775 uLogger.warning("The broker will cancel this order after some time. Comment: you placed the wrong stop order because the target sell price [{:.2f} {}] is higher than the current price [{:.2f} {}]. Also try to set up order type as `TP` if you want to place stop order at that price.".format( +2776 targetPrice, instrument["currency"], +2777 instrument["currentPrice"]["lastPrice"], instrument["currency"], +2778 )) +2779 +2780 else: +2781 uLogger.warning("Not `oK` status received! Stop order not opened. See full debug log or try again and open order later.") +2782 +2783 return responseReturns
-2699 def BuyLimit(self, lots: int, targetPrice: float) -> dict: -2700 """ -2701 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: -2702 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then -2703 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! -2704 See also: `Order()` docstring. -2705 -2706 :param lots: volume, integer count of lots >= 1. -2707 :param targetPrice: target price > 0. This is open trade price for limit order. -2708 :return: JSON with response from broker server. -2709 """ -2710 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice) +@@ -10192,25 +10547,25 @@2785 def BuyLimit(self, lots: int, targetPrice: float) -> dict: +2786 """ +2787 Create pending `Buy` limit-order (below current price). You must specify only 2 parameters: +2788 `lots` and `target price` to open buy limit-order. If you try to create buy limit-order above current price then +2789 broker immediately open `Buy` market order, such as if you do simple `--buy` operation! +2790 See also: `Order()` docstring. +2791 +2792 :param lots: volume, integer count of lots >= 1. +2793 :param targetPrice: target price > 0. This is open trade price for limit order. +2794 :return: JSON with response from broker server. +2795 """ +2796 return self.Order(operation="Buy", orderType="Limit", lots=lots, targetPrice=targetPrice)Returns
-2712 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2713 """ -2714 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. -2715 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2716 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2717 target price value then broker opens a limit order. See also: `Order()` docstring. -2718 -2719 :param lots: volume, integer count of lots >= 1. -2720 :param targetPrice: target price > 0. This is trigger price for buy stop-order. -2721 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2722 with price equal to limitPrice, when current price goes to target price of buy stop-order. -2723 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2724 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2725 :param expDate: string "Undefined" by default or local date in future. -2726 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2727 This date is converting to UTC format for server. -2728 :return: JSON with response from broker server. -2729 """ -2730 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +@@ -10253,18 +10608,18 @@2798 def BuyStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2799 """ +2800 Create `Buy` stop-order. You must specify at least 2 parameters: `lots` `target price` to open buy stop-order. +2801 In additional you can specify 3 parameters for buy stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2802 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2803 target price value then broker opens a limit order. See also: `Order()` docstring. +2804 +2805 :param lots: volume, integer count of lots >= 1. +2806 :param targetPrice: target price > 0. This is trigger price for buy stop-order. +2807 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2808 with price equal to limitPrice, when current price goes to target price of buy stop-order. +2809 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2810 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2811 :param expDate: string "Undefined" by default or local date in future. +2812 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2813 This date is converting to UTC format for server. +2814 :return: JSON with response from broker server. +2815 """ +2816 return self.Order(operation="Buy", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate)Returns
-2732 def SellLimit(self, lots: int, targetPrice: float) -> dict: -2733 """ -2734 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: -2735 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then -2736 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! -2737 See also: `Order()` docstring. -2738 -2739 :param lots: volume, integer count of lots >= 1. -2740 :param targetPrice: target price > 0. This is open trade price for limit order. -2741 :return: JSON with response from broker server. -2742 """ -2743 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice) +@@ -10300,25 +10655,25 @@2818 def SellLimit(self, lots: int, targetPrice: float) -> dict: +2819 """ +2820 Create pending `Sell` limit-order (above current price). You must specify only 2 parameters: +2821 `lots` and `target price` to open sell limit-order. If you try to create sell limit-order below current price then +2822 broker immediately open `Sell` market order, such as if you do simple `--sell` operation! +2823 See also: `Order()` docstring. +2824 +2825 :param lots: volume, integer count of lots >= 1. +2826 :param targetPrice: target price > 0. This is open trade price for limit order. +2827 :return: JSON with response from broker server. +2828 """ +2829 return self.Order(operation="Sell", orderType="Limit", lots=lots, targetPrice=targetPrice)Returns
-2745 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: -2746 """ -2747 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. -2748 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, -2749 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to -2750 target price value then broker opens a limit order. See also: `Order()` docstring. -2751 -2752 :param lots: volume, integer count of lots >= 1. -2753 :param targetPrice: target price > 0. This is trigger price for sell stop-order. -2754 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order -2755 with price equal to limitPrice, when current price goes to target price of sell stop-order. -2756 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" -2757 for "Stop loss", "Take profit" and "Stop limit" types accordingly. -2758 :param expDate: string "Undefined" by default or local date in future. -2759 String has a format like this: `%Y-%m-%d %H:%M:%S`. -2760 This date is converting to UTC format for server. -2761 :return: JSON with response from broker server. -2762 """ -2763 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate) +@@ -10361,65 +10716,65 @@2831 def SellStop(self, lots: int, targetPrice: float, limitPrice: float = 0., stopType: str = "Limit", expDate: str = "Undefined") -> dict: +2832 """ +2833 Create `Sell` stop-order. You must specify at least 2 parameters: `lots` `target price` to open sell stop-order. +2834 In additional you can specify 3 parameters for sell stop-order: `limit price` >=0, `stop type` = Limit|SL|TP, +2835 `expiration date` = Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`. When current price will go up or down to +2836 target price value then broker opens a limit order. See also: `Order()` docstring. +2837 +2838 :param lots: volume, integer count of lots >= 1. +2839 :param targetPrice: target price > 0. This is trigger price for sell stop-order. +2840 :param limitPrice: limit price >= 0 (limitPrice = targetPrice if limitPrice is 0). Broker will creates limit-order +2841 with price equal to limitPrice, when current price goes to target price of sell stop-order. +2842 :param stopType: string "Limit" by default. There are 3 stop-order types "SL", "TP", "Limit" +2843 for "Stop loss", "Take profit" and "Stop limit" types accordingly. +2844 :param expDate: string "Undefined" by default or local date in future. +2845 String has a format like this: `%Y-%m-%d %H:%M:%S`. +2846 This date is converting to UTC format for server. +2847 :return: JSON with response from broker server. +2848 """ +2849 return self.Order(operation="Sell", orderType="Stop", lots=lots, targetPrice=targetPrice, limitPrice=limitPrice, stopType=stopType, expDate=expDate)Returns
-2765 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: -2766 """ -2767 Cancel order or list of orders by its `orderId` or `stopOrderId`. -2768 -2769 :param orderIDs: list of integers with `orderId` or `stopOrderId`. -2770 :param allOrdersIDs: pre-received lists of all active pending orders. -2771 This avoids unnecessary downloading data from the server. -2772 :param allStopOrdersIDs: pre-received lists of all active stop orders. -2773 """ -2774 if orderIDs: -2775 if allOrdersIDs is None or not allOrdersIDs: -2776 rawOrders = self.RequestPendingOrders() -2777 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2778 -2779 if allStopOrdersIDs is None or not allStopOrdersIDs: -2780 rawStopOrders = self.RequestStopOrders() -2781 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2782 -2783 for orderID in orderIDs: -2784 idInPendingOrders = orderID in allOrdersIDs -2785 idInStopOrders = orderID in allStopOrdersIDs -2786 -2787 if not (idInPendingOrders or idInStopOrders): -2788 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) -2789 continue -2790 -2791 else: -2792 if idInPendingOrders: -2793 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) -2794 -2795 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder -2796 self.body = str({"accountId": self.accountId, "orderId": orderID}) -2797 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" -2798 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2799 -2800 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2801 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2802 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) -2803 -2804 else: -2805 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) -2806 -2807 elif idInStopOrders: -2808 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) -2809 -2810 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder -2811 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) -2812 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" -2813 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") -2814 -2815 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: -2816 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) -2817 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) -2818 -2819 else: -2820 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) -2821 -2822 else: -2823 continue +@@ -10448,25 +10803,25 @@2851 def CloseOrders(self, orderIDs: list, allOrdersIDs: list = None, allStopOrdersIDs: list = None) -> None: +2852 """ +2853 Cancel order or list of orders by its `orderId` or `stopOrderId`. +2854 +2855 :param orderIDs: list of integers with `orderId` or `stopOrderId`. +2856 :param allOrdersIDs: pre-received lists of all active pending orders. +2857 This avoids unnecessary downloading data from the server. +2858 :param allStopOrdersIDs: pre-received lists of all active stop orders. +2859 """ +2860 if orderIDs: +2861 if allOrdersIDs is None or not allOrdersIDs: +2862 rawOrders = self.RequestPendingOrders() +2863 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2864 +2865 if allStopOrdersIDs is None or not allStopOrdersIDs: +2866 rawStopOrders = self.RequestStopOrders() +2867 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2868 +2869 for orderID in orderIDs: +2870 idInPendingOrders = orderID in allOrdersIDs +2871 idInStopOrders = orderID in allStopOrdersIDs +2872 +2873 if not (idInPendingOrders or idInStopOrders): +2874 uLogger.warning("Order not found by ID: [{}]. Maybe cancelled already? Check it with `--overview` key.".format(orderID)) +2875 continue +2876 +2877 else: +2878 if idInPendingOrders: +2879 uLogger.debug("Cancelling pending order with ID: [{}]. Wait, please...".format(orderID)) +2880 +2881 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/OrdersService/OrdersService_CancelOrder +2882 self.body = str({"accountId": self.accountId, "orderId": orderID}) +2883 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/CancelOrder" +2884 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2885 +2886 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2887 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2888 uLogger.info("Pending order with ID [{}] successfully cancel".format(orderID)) +2889 +2890 else: +2891 uLogger.warning("Unknown issue occurred when cancelling pending order with ID: [{}]. Check ID and try again.".format(orderID)) +2892 +2893 elif idInStopOrders: +2894 uLogger.debug("Cancelling stop order with ID: [{}]. Wait, please...".format(orderID)) +2895 +2896 # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/StopOrdersService/StopOrdersService_CancelStopOrder +2897 self.body = str({"accountId": self.accountId, "stopOrderId": orderID}) +2898 closeURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/CancelStopOrder" +2899 responseJSON = self.SendAPIRequest(closeURL, reqType="POST") +2900 +2901 if responseJSON and "time" in responseJSON.keys() and responseJSON["time"]: +2902 uLogger.debug("Success time marker received from server: [{}] (UTC)".format(responseJSON["time"])) +2903 uLogger.info("Stop order with ID [{}] successfully cancel".format(orderID)) +2904 +2905 else: +2906 uLogger.warning("Unknown issue occurred when cancelling stop order with ID: [{}]. Check ID and try again.".format(orderID)) +2907 +2908 else: +2909 continueParameters
-2825 def CloseAllOrders(self) -> None: -2826 """ -2827 Gets a list of open pending and stop orders and cancel it all. -2828 """ -2829 rawOrders = self.RequestPendingOrders() -2830 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID -2831 lenOrders = len(allOrdersIDs) -2832 -2833 rawStopOrders = self.RequestStopOrders() -2834 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID -2835 lenSOrders = len(allStopOrdersIDs) -2836 -2837 if lenOrders > 0 or lenSOrders > 0: -2838 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) -2839 -2840 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) -2841 -2842 else: -2843 uLogger.info("Orders not found, nothing to cancel.") +@@ -10486,35 +10841,35 @@2911 def CloseAllOrders(self) -> None: +2912 """ +2913 Gets a list of open pending and stop orders and cancel it all. +2914 """ +2915 rawOrders = self.RequestPendingOrders() +2916 allOrdersIDs = [item["orderId"] for item in rawOrders] # all pending orders ID +2917 lenOrders = len(allOrdersIDs) +2918 +2919 rawStopOrders = self.RequestStopOrders() +2920 allStopOrdersIDs = [item["stopOrderId"] for item in rawStopOrders] # all stop orders ID +2921 lenSOrders = len(allStopOrdersIDs) +2922 +2923 if lenOrders > 0 or lenSOrders > 0: +2924 uLogger.info("Found: [{}] opened pending and [{}] stop orders. Let's trying to cancel it all. Wait, please...".format(lenOrders, lenSOrders)) +2925 +2926 self.CloseOrders(allOrdersIDs + allStopOrdersIDs, allOrdersIDs, allStopOrdersIDs) +2927 +2928 else: +2929 uLogger.info("Orders not found, nothing to cancel.")Parameters
-2845 def CloseAll(self, *args) -> None: -2846 """ -2847 Close all available (not blocked) opened trades and orders. -2848 -2849 Also you can select one or more keywords case insensitive: -2850 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. -2851 -2852 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. -2853 """ -2854 overview = self.Overview(showStatistics=False) # get all open trades info -2855 -2856 if len(args) == 0: -2857 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") -2858 self.CloseAllOrders() # close all pending and stop orders -2859 -2860 for iType in TKS_INSTRUMENTS: -2861 if iType != "Currencies": -2862 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies -2863 -2864 else: -2865 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) -2866 lowerArgs = [x.lower() for x in args] -2867 -2868 if "orders" in lowerArgs: -2869 self.CloseAllOrders() # close all pending and stop orders -2870 -2871 for iType in TKS_INSTRUMENTS: -2872 if iType.lower() in lowerArgs and iType != "Currencies": -2873 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +@@ -10540,21 +10895,50 @@2931 def CloseAll(self, *args) -> None: +2932 """ +2933 Close all available (not blocked) opened trades and orders. +2934 +2935 Also you can select one or more keywords case insensitive: +2936 `orders`, `shares`, `bonds`, `etfs` and `futures` from `TKS_INSTRUMENTS` enum to specify trades type. +2937 +2938 Currency positions you must closes manually using buy or sell operations, `CloseTrades()` or `CloseAllTrades()` methods. +2939 """ +2940 overview = self.Overview(showStatistics=False) # get all open trades info +2941 +2942 if len(args) == 0: +2943 uLogger.debug("Closing all available (not blocked) opened trades and orders. Currency positions you must closes manually using buy or sell operations! Wait, please...") +2944 self.CloseAllOrders() # close all pending and stop orders +2945 +2946 for iType in TKS_INSTRUMENTS: +2947 if iType != "Currencies": +2948 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currencies +2949 +2950 else: +2951 uLogger.debug("Closing all available {}. Currency positions you must closes manually using buy or sell operations! Wait, please...".format(list(args))) +2952 lowerArgs = [x.lower() for x in args] +2953 +2954 if "orders" in lowerArgs: +2955 self.CloseAllOrders() # close all pending and stop orders +2956 +2957 for iType in TKS_INSTRUMENTS: +2958 if iType.lower() in lowerArgs and iType != "Currencies": +2959 self.CloseAllTrades(iType, overview) # close all positions of instruments with same type without currenciesParameters
-2875 @staticmethod -2876 def ParseOrderParameters(operation, **inputParameters): -2877 """ -2878 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. -2879 -2880 :param operation: string "Buy" or "Sell". -2881 :param inputParameters: this is dict of strings that looks like this -2882 `{"lots": "L_int,...", "prices": "P_float,..."}` where -2883 "lots" key: one or more lot values (integer numbers) to open with every limit-order -2884 "prices" key: one or more prices to open limit-orders -2885 Counts of values in lots and prices lists must be equals! -2886 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` -2887 """ -2888 # TODO: update order grid work with api v2 -2889 pass +@@ -10591,47 +10975,47 @@2961 @staticmethod +2962 def ParseOrderParameters(operation, **inputParameters): +2963 """ +2964 Parse input dictionary of strings with order parameters and return dictionary with parameters to open all orders. +2965 +2966 :param operation: string "Buy" or "Sell". +2967 :param inputParameters: this is dict of strings that looks like this +2968 `{"lots": "L_int,...", "prices": "P_float,..."}` where +2969 "lots" key: one or more lot values (integer numbers) to open with every limit-order +2970 "prices" key: one or more prices to open limit-orders +2971 Counts of values in lots and prices lists must be equals! +2972 :return: list of dictionaries with all lots and prices to open orders that looks like this `[{"lot": lots_1, "price": price_1}, {...}, ...]` +2973 """ +2974 # TODO: update order grid work with api v2 +2975 pass +2976 # uLogger.debug("Input parameters: {}".format(inputParameters)) +2977 # +2978 # if operation is None or not operation or operation not in ("Buy", "Sell"): +2979 # raise Exception("You must define operation type: 'Buy' or 'Sell'!") +2980 # +2981 # if "l" in inputParameters.keys(): +2982 # inputParameters["lots"] = inputParameters.pop("l") +2983 # +2984 # if "p" in inputParameters.keys(): +2985 # inputParameters["prices"] = inputParameters.pop("p") +2986 # +2987 # if "lots" not in inputParameters.keys() or "prices" not in inputParameters.keys(): +2988 # raise Exception("Both of 'lots' and 'prices' keys must be define to open grid orders!") +2989 # +2990 # lots = [int(item.strip()) for item in inputParameters["lots"].split(",")] +2991 # prices = [float(item.strip()) for item in inputParameters["prices"].split(",")] +2992 # +2993 # if len(lots) != len(prices): +2994 # raise Exception("'lots' and 'prices' lists must have equal length of values!") +2995 # +2996 # uLogger.debug("Extracted parameters for orders:") +2997 # uLogger.debug("lots = {}".format(lots)) +2998 # uLogger.debug("prices = {}".format(prices)) +2999 # +3000 # # list of dictionaries with order's parameters: [{"lot": lots_1, "price": price_1}, {...}, ...] +3001 # result = [{"lot": lots[item], "price": prices[item]} for item in range(len(prices))] +3002 # uLogger.debug("Order parameters: {}".format(result)) +3003 # +3004 # return resultReturns
-2920 def IsInPortfolio(self, portfolio: dict = None) -> bool: -2921 """ -2922 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. -2923 -2924 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2925 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. -2926 """ -2927 result = False -2928 msg = "Instrument not defined!" -2929 -2930 if portfolio is None or not portfolio: -2931 portfolio = self.Overview(showStatistics=False) -2932 -2933 if self.ticker: -2934 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2935 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2936 -2937 for iType in TKS_INSTRUMENTS: -2938 for instrument in portfolio["stat"][iType]: -2939 if instrument["ticker"] == self.ticker: -2940 result = True -2941 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) -2942 break -2943 -2944 elif self.figi: -2945 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2946 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2947 -2948 for iType in TKS_INSTRUMENTS: -2949 for instrument in portfolio["stat"][iType]: -2950 if instrument["figi"] == self.figi: -2951 result = True -2952 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) -2953 break -2954 -2955 else: -2956 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -2957 -2958 uLogger.debug(msg) -2959 -2960 return result +@@ -10663,48 +11047,48 @@3006 def IsInPortfolio(self, portfolio: dict = None) -> bool: +3007 """ +3008 Checks if instrument is in the user's portfolio. Instrument must be defined by `ticker` (highly priority) or `figi`. +3009 +3010 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3011 :return: `True` if portfolio contains open position with given instrument, `False` otherwise. +3012 """ +3013 result = False +3014 msg = "Instrument not defined!" +3015 +3016 if portfolio is None or not portfolio: +3017 portfolio = self.Overview(showStatistics=False) +3018 +3019 if self.ticker: +3020 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3021 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3022 +3023 for iType in TKS_INSTRUMENTS: +3024 for instrument in portfolio["stat"][iType]: +3025 if instrument["ticker"] == self.ticker: +3026 result = True +3027 msg = "Instrument with ticker [{}] is present in open positions".format(self.ticker) +3028 break +3029 +3030 elif self.figi: +3031 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3032 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3033 +3034 for iType in TKS_INSTRUMENTS: +3035 for instrument in portfolio["stat"][iType]: +3036 if instrument["figi"] == self.figi: +3037 result = True +3038 msg = "Instrument with FIGI [{}] is present in open positions".format(self.figi) +3039 break +3040 +3041 else: +3042 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3043 +3044 uLogger.debug(msg) +3045 +3046 return resultReturns
-2962 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: -2963 """ -2964 Returns instrument is in the user's portfolio if it presents there. -2965 Instrument must be defined by `ticker` (highly priority) or `figi`. -2966 -2967 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. -2968 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. -2969 """ -2970 result = None -2971 msg = "Instrument not defined!" -2972 -2973 if portfolio is None or not portfolio: -2974 portfolio = self.Overview(showStatistics=False) -2975 -2976 if self.ticker: -2977 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) -2978 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) -2979 -2980 for iType in TKS_INSTRUMENTS: -2981 for instrument in portfolio["stat"][iType]: -2982 if instrument["ticker"] == self.ticker: -2983 result = instrument -2984 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) -2985 break -2986 -2987 elif self.figi: -2988 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) -2989 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) -2990 -2991 for iType in TKS_INSTRUMENTS: -2992 for instrument in portfolio["stat"][iType]: -2993 if instrument["figi"] == self.figi: -2994 result = instrument -2995 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) -2996 break -2997 -2998 else: -2999 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") -3000 -3001 uLogger.debug(msg) -3002 -3003 return result +@@ -10738,15 +11122,15 @@3048 def GetInstrumentFromPortfolio(self, portfolio: dict = None) -> dict: +3049 """ +3050 Returns instrument is in the user's portfolio if it presents there. +3051 Instrument must be defined by `ticker` (highly priority) or `figi`. +3052 +3053 :param portfolio: dict with user's portfolio data. If `None`, then requests portfolio from `Overview()` method. +3054 :return: dict with instrument if portfolio contains open position with this instrument, `None` otherwise. +3055 """ +3056 result = None +3057 msg = "Instrument not defined!" +3058 +3059 if portfolio is None or not portfolio: +3060 portfolio = self.Overview(showStatistics=False) +3061 +3062 if self.ticker: +3063 uLogger.debug("Searching instrument with ticker [{}] throwout opened positions...".format(self.ticker)) +3064 msg = "Instrument with ticker [{}] is not present in open positions".format(self.ticker) +3065 +3066 for iType in TKS_INSTRUMENTS: +3067 for instrument in portfolio["stat"][iType]: +3068 if instrument["ticker"] == self.ticker: +3069 result = instrument +3070 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(self.ticker, instrument["figi"]) +3071 break +3072 +3073 elif self.figi: +3074 uLogger.debug("Searching instrument with FIGI [{}] throwout opened positions...".format(self.figi)) +3075 msg = "Instrument with FIGI [{}] is not present in open positions".format(self.figi) +3076 +3077 for iType in TKS_INSTRUMENTS: +3078 for instrument in portfolio["stat"][iType]: +3079 if instrument["figi"] == self.figi: +3080 result = instrument +3081 msg = "Instrument with ticker [{}] and FIGI [{}] is present in open positions".format(instrument["ticker"], self.figi) +3082 break +3083 +3084 else: +3085 uLogger.warning("Instrument must be defined by `ticker` (highly priority) or `figi`!") +3086 +3087 uLogger.debug(msg) +3088 +3089 return resultReturns
-3006class Args: -3007 """ -3008 If `Main()` function is imported as module, then this class used to convert arguments from **kwargs as object. -3009 """ -3010 def __init__(self, **kwargs): -3011 self.__dict__.update(kwargs) -3012 -3013 def __getattr__(self, item): -3014 return None +@@ -10764,8 +11148,8 @@3092class Args: +3093 """ +3094 If `Main()` function is imported as module, then this class used to convert arguments from **kwargs as object. +3095 """ +3096 def __init__(self, **kwargs): +3097 self.__dict__.update(kwargs) +3098 +3099 def __getattr__(self, item): +3100 return NoneReturns
-3010 def __init__(self, **kwargs): -3011 self.__dict__.update(kwargs) + @@ -10784,67 +11168,73 @@Returns
-3017def ParseArgs(): -3018 """ -3019 Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/ -3020 """ -3021 parser = ArgumentParser() # command-line string parser -3022 -3023 parser.description = "TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol. It can view history, orders and market information. Also, you can open orders and trades. See examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples" -3024 parser.usage = "\n/as module/ python TKSBrokerAPI.py [some options] [one command]\n/as CLI tool/ tksbrokerapi [some options] [one command]" -3025 -3026 # --- options: -3027 -3028 parser.add_argument("--no-cache", action="store_true", default=False, help="Option: not use local cache `dump.json`, but update raw instruments data when starting the program. `False` by default.") -3029 parser.add_argument("--token", type=str, help="Option: Tinkoff service's api key. If not set then used environment variable `TKS_API_TOKEN`. See how to use: https://tinkoff.github.io/investAPI/token/") -3030 parser.add_argument("--account-id", type=str, default=None, help="Option: string with an user numeric account ID in Tinkoff Broker. It can be found in any broker's reports (see the contract number). Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`.") -3031 -3032 parser.add_argument("--ticker", "-t", type=str, help="Option: instrument's ticker, e.g. `IBM`, `YNDX`, `GOOGL` etc. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR`.") -3033 parser.add_argument("--figi", "-f", type=str, help="Option: instrument's FIGI, e.g. `BBG006L8G4H1` (for `YNDX`).") -3034 -3035 parser.add_argument("--depth", type=int, default=1, help="Option: Depth of Market (DOM) can be >=1, 1 by default.") -3036 parser.add_argument("--no-cancelled", "--no-canceled", action="store_true", default=False, help="Option: remove information about cancelled operations from the deals report by the `--deals` key. `False` by default.") -3037 -3038 parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If None then used default files.") -3039 -3040 # parser.add_argument("--length", type=int, default=24, help="Option: how many last candles returns for history. Used only with --history key.") -3041 # parser.add_argument("--interval", type=str, default="60", help="Option: available values are 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month. Used only with `--history` key. This is time period used in 'interval' api parameter. Default: `--interval=60` that means 60 min for every history candles.") -3042 # parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. False by default.") -3043 -3044 parser.add_argument("--debug-level", "--verbosity", "-v", type=int, default=20, help="Option: showing STDOUT messages of minimal debug level, e.g. 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 = ERROR, 50 = CRITICAL. INFO (20) by default.") -3045 -3046 # --- commands: -3047 -3048 parser.add_argument("--list", "-l", action="store_true", help="Action: get and print all available instruments and some information from broker server. Also, you can define `--output` key to save list of instruments to file, default: `instruments.md`.") -3049 parser.add_argument("--search", "-s", type=str, nargs=1, help="Action: search for an instruments by part of the name, ticker or FIGI. Also, you can define `--output` key to save results to file, default: `search-results.md`.") -3050 parser.add_argument("--info", "-i", action="store_true", help="Action: get information from broker server about instrument by it's ticker or FIGI. `--ticker` key or `--figi` key must be defined!") -3051 parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use --depth key. `--ticker` key or `--figi` key must be defined!") -3052 parser.add_argument("--prices", "-p", type=str, nargs="+", help="Action: get and print current prices for list of given instruments (by it's tickers or by FIGIs). WARNING! This is too long operation if you request a lot of instruments! Also, you can define `--output` key to save list of prices to file, default: `prices.md`.") -3053 -3054 parser.add_argument("--overview", "-o", action="store_true", help="Action: show all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") -3055 parser.add_argument("--deals", "-d", type=str, nargs="*", help="Action: show all deals between two given dates. Start day may be an integer number: -1, -2, -3 days ago. Also, you can use keywords: `today`, `yesterday` (-1), `week` (-7), `month` (-30) and `year` (-365). Dates format must be: `%%Y-%%m-%%d`, e.g. 2020-02-03. With `--no-cancelled` key information about cancelled operations will be removed from the deals report. Also, you can define `--output` key to save all deals to file, default: `deals.md`.") -3056 # parser.add_argument("--history", action="store_true", help="Action: get last (--length) history candles from past to current time with (--interval) values. Also, you can define `--output` key to save history candles to .csv-file.") -3057 -3058 parser.add_argument("--trade", nargs="*", help="Action: universal action to open market position for defined ticker or FIGI. You must specify 1-5 parameters: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. See examples in readme.") -3059 parser.add_argument("--buy", nargs="*", help="Action: immediately open BUY market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") -3060 parser.add_argument("--sell", nargs="*", help="Action: immediately open SELL market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") -3061 -3062 parser.add_argument("--order", nargs="*", help="Action: universal action to open limit or stop-order in any directions. You must specify 4-7 parameters: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]]. See examples in readme.") -3063 parser.add_argument("--buy-limit", type=float, nargs=2, help="Action: open pending BUY limit-order (below current price). You must specify only 2 parameters: [lots] [target price] to open BUY limit-order. If you try to create `Buy` limit-order above current price then broker immediately open `Buy` market order, such as if you do simple `--buy` operation!") -3064 parser.add_argument("--sell-limit", type=float, nargs=2, help="Action: open pending SELL limit-order (above current price). You must specify only 2 parameters: [lots] [target price] to open SELL limit-order. If you try to create `Sell` limit-order below current price then broker immediately open `Sell` market order, such as if you do simple `--sell` operation!") -3065 parser.add_argument("--buy-stop", nargs="*", help="Action: open BUY stop-order. You must specify at least 2 parameters: [lots] [target price] to open BUY stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") -3066 parser.add_argument("--sell-stop", nargs="*", help="Action: open SELL stop-order. You must specify at least 2 parameters: [lots] [target price] to open SELL stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") -3067 # parser.add_argument("--buy-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending BUY limit-orders (below current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") -3068 # parser.add_argument("--sell-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending SELL limit-orders (above current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") -3069 -3070 parser.add_argument("--close-order", "--cancel-order", type=str, nargs=1, help="Action: close only one order by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") -3071 parser.add_argument("--close-orders", "--cancel-orders", type=str, nargs="+", help="Action: close one or list of orders by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") -3072 parser.add_argument("--close-trade", "--cancel-trade", action="store_true", help="Action: close only one position for instrument defined by `--ticker` key, including for currencies tickers.") -3073 parser.add_argument("--close-trades", "--cancel-trades", type=str, nargs="+", help="Action: close positions for list of tickers, including for currencies tickers.") -3074 parser.add_argument("--close-all", "--cancel-all", type=str, nargs="*", help="Action: close all available (not blocked) opened trades and orders, excluding for currencies. Also you can select one or more keywords case insensitive to specify trades type: `orders`, `shares`, `bonds`, `etfs` and `futures`, but not `currencies`. Currency positions you must closes manually using `--buy`, `--sell`, `--close-trade` or `--close-trades` operations.") -3075 -3076 cmdArgs = parser.parse_args() -3077 return cmdArgs +@@ -10864,277 +11254,314 @@3103def ParseArgs(): +3104 """ +3105 Function get and parse command line keys. See examples: https://tim55667757.github.io/TKSBrokerAPI/ +3106 """ +3107 parser = ArgumentParser() # command-line string parser +3108 +3109 parser.description = "TKSBrokerAPI is a python API to work with some methods of Tinkoff Open API using REST protocol. It can view history, orders and market information. Also, you can open orders and trades. See examples: https://github.com/Tim55667757/TKSBrokerAPI/blob/master/README_EN.md#Usage-examples" +3110 parser.usage = "\n/as module/ python TKSBrokerAPI.py [some options] [one command]\n/as CLI tool/ tksbrokerapi [some options] [one command]" +3111 +3112 # --- options: +3113 +3114 parser.add_argument("--no-cache", action="store_true", default=False, help="Option: not use local cache `dump.json`, but update raw instruments data when starting the program. `False` by default.") +3115 parser.add_argument("--token", type=str, help="Option: Tinkoff service's api key. If not set then used environment variable `TKS_API_TOKEN`. See how to use: https://tinkoff.github.io/investAPI/token/") +3116 parser.add_argument("--account-id", type=str, default=None, help="Option: string with an user numeric account ID in Tinkoff Broker. It can be found in any broker's reports (see the contract number). Also, this variable can be set from environment variable `TKS_ACCOUNT_ID`.") +3117 +3118 parser.add_argument("--ticker", "-t", type=str, help="Option: instrument's ticker, e.g. `IBM`, `YNDX`, `GOOGL` etc. Use alias for `USD000UTSTOM` simple as `USD`, `EUR_RUB__TOM` as `EUR`.") +3119 parser.add_argument("--figi", "-f", type=str, help="Option: instrument's FIGI, e.g. `BBG006L8G4H1` (for `YNDX`).") +3120 +3121 parser.add_argument("--depth", type=int, default=1, help="Option: Depth of Market (DOM) can be >=1, 1 by default.") +3122 parser.add_argument("--no-cancelled", "--no-canceled", action="store_true", default=False, help="Option: remove information about cancelled operations from the deals report by the `--deals` key. `False` by default.") +3123 +3124 parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If `None` then used default files.") +3125 # parser.add_argument("--output-type", type=str, choices=[None, ".md", ".csv", ".xlsx"], default=None, help="Option: replace default type of output files for some commands. You can choose: `.md`, `.csv` and `.xlsx`. If `None` then used default file types.") +3126 +3127 parser.add_argument("--interval", type=str, default="hour", help="Option: available values are `1min`, `5min`, `15min`, `hour` and `day`. Used only with `--history` key. This is time period of one candle. Default: `hour` for every history candles.") +3128 parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. `False` by default.") +3129 parser.add_argument("--csv-sep", type=str, default=",", help="Option: separator if .csv-file is used, `,` by default.") +3130 +3131 parser.add_argument("--debug-level", "--verbosity", "-v", type=int, default=20, help="Option: showing STDOUT messages of minimal debug level, e.g. 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 = ERROR, 50 = CRITICAL. INFO (20) by default.") +3132 +3133 # --- commands: +3134 +3135 parser.add_argument("--list", "-l", action="store_true", help="Action: get and print all available instruments and some information from broker server. Also, you can define `--output` key to save list of instruments to file, default: `instruments.md`.") +3136 parser.add_argument("--search", "-s", type=str, nargs=1, help="Action: search for an instruments by part of the name, ticker or FIGI. Also, you can define `--output` key to save results to file, default: `search-results.md`.") +3137 parser.add_argument("--info", "-i", action="store_true", help="Action: get information from broker server about instrument by it's ticker or FIGI. `--ticker` key or `--figi` key must be defined!") +3138 parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use `--depth` key. `--ticker` key or `--figi` key must be defined!") +3139 parser.add_argument("--prices", "-p", type=str, nargs="+", help="Action: get and print current prices for list of given instruments (by it's tickers or by FIGIs). WARNING! This is too long operation if you request a lot of instruments! Also, you can define `--output` key to save list of prices to file, default: `prices.md`.") +3140 +3141 parser.add_argument("--overview", "-o", action="store_true", help="Action: shows all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") +3142 parser.add_argument("--overview-digest", action="store_true", help="Action: shows a short digest of the portfolio status. Also, you can define `--output` key to save this information to file, default: `overview-digest.md`.") +3143 parser.add_argument("--overview-positions", action="store_true", help="Action: shows only open positions. Also, you can define `--output` key to save this information to file, default: `overview-positions.md`.") +3144 parser.add_argument("--overview-orders", action="store_true", help="Action: shows only sections of open limits and stop orders. Also, you can define `--output` key to save this information to file, default: `overview-orders.md`.") +3145 parser.add_argument("--overview-analytics", action="store_true", help="Action: shows only the analytics section and the distribution of the portfolio by various categories. Also, you can define `--output` key to save this information to file, default: `overview-analytics.md`.") +3146 +3147 parser.add_argument("--deals", "-d", type=str, nargs="*", help="Action: show all deals between two given dates. Start day may be an integer number: -1, -2, -3 days ago. Also, you can use keywords: `today`, `yesterday` (-1), `week` (-7), `month` (-30) and `year` (-365). Dates format must be: `%%Y-%%m-%%d`, e.g. 2020-02-03. With `--no-cancelled` key information about cancelled operations will be removed from the deals report. Also, you can define `--output` key to save all deals to file, default: `deals.md`.") +3148 parser.add_argument("--history", type=str, nargs="*", help="Action: get last history candles of the current instrument defined by `--ticker` or `--figi` (FIGI id) keys. History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. Also, you can define `--output` key to save history candlesticks to file.") +3149 +3150 parser.add_argument("--trade", nargs="*", help="Action: universal action to open market position for defined ticker or FIGI. You must specify 1-5 parameters: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. See examples in readme.") +3151 parser.add_argument("--buy", nargs="*", help="Action: immediately open BUY market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") +3152 parser.add_argument("--sell", nargs="*", help="Action: immediately open SELL market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") +3153 +3154 parser.add_argument("--order", nargs="*", help="Action: universal action to open limit or stop-order in any directions. You must specify 4-7 parameters: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]]. See examples in readme.") +3155 parser.add_argument("--buy-limit", type=float, nargs=2, help="Action: open pending BUY limit-order (below current price). You must specify only 2 parameters: [lots] [target price] to open BUY limit-order. If you try to create `Buy` limit-order above current price then broker immediately open `Buy` market order, such as if you do simple `--buy` operation!") +3156 parser.add_argument("--sell-limit", type=float, nargs=2, help="Action: open pending SELL limit-order (above current price). You must specify only 2 parameters: [lots] [target price] to open SELL limit-order. If you try to create `Sell` limit-order below current price then broker immediately open `Sell` market order, such as if you do simple `--sell` operation!") +3157 parser.add_argument("--buy-stop", nargs="*", help="Action: open BUY stop-order. You must specify at least 2 parameters: [lots] [target price] to open BUY stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") +3158 parser.add_argument("--sell-stop", nargs="*", help="Action: open SELL stop-order. You must specify at least 2 parameters: [lots] [target price] to open SELL stop-order. In additional you can specify 3 parameters for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. When current price will go up or down to target price value then broker opens a limit order. Stop loss order always executed by market price.") +3159 # parser.add_argument("--buy-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending BUY limit-orders (below current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") +3160 # parser.add_argument("--sell-limit-order-grid", type=str, nargs="*", help="Action: open grid of pending SELL limit-orders (above current price). Parameters format: l(ots)=[L_int,...] p(rices)=[P_float,...]. Counts of values in lots and prices lists must be equals!") +3161 +3162 parser.add_argument("--close-order", "--cancel-order", type=str, nargs=1, help="Action: close only one order by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") +3163 parser.add_argument("--close-orders", "--cancel-orders", type=str, nargs="+", help="Action: close one or list of orders by it's `orderId` or `stopOrderId`. You can find out the meaning of these IDs using the key `--overview`.") +3164 parser.add_argument("--close-trade", "--cancel-trade", action="store_true", help="Action: close only one position for instrument defined by `--ticker` key, including for currencies tickers.") +3165 parser.add_argument("--close-trades", "--cancel-trades", type=str, nargs="+", help="Action: close positions for list of tickers, including for currencies tickers.") +3166 parser.add_argument("--close-all", "--cancel-all", type=str, nargs="*", help="Action: close all available (not blocked) opened trades and orders, excluding for currencies. Also you can select one or more keywords case insensitive to specify trades type: `orders`, `shares`, `bonds`, `etfs` and `futures`, but not `currencies`. Currency positions you must closes manually using `--buy`, `--sell`, `--close-trade` or `--close-trades` operations.") +3167 +3168 cmdArgs = parser.parse_args() +3169 return cmdArgsReturns
3080def Main(**kwargs): -3081 """ -3082 Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command. -3083 -3084 See examples: https://tim55667757.github.io/TKSBrokerAPI/ -3085 """ -3086 args = Args(**kwargs) if kwargs else ParseArgs() # get and parse command-line parameters or use **kwarg parameters -3087 -3088 if args.debug_level: -3089 uLogger.level = 10 # always debug level by default -3090 uLogger.handlers[0].level = args.debug_level # level for STDOUT -3091 -3092 exitCode = 0 -3093 start = datetime.now(tzutc()) -3094 uLogger.debug("TKSBrokerAPI module started at: [{}] UTC, it is [{}] local time".format( -3095 start.strftime("%Y-%m-%d %H:%M:%S"), -3096 start.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), -3097 )) -3098 -3099 # Init class for trading with Tinkoff Broker: -3100 server = TinkoffBrokerServer( -3101 token=args.token, -3102 accountId=args.account_id, -3103 iList=kwargs["instruments"] if kwargs and "instruments" in kwargs.keys() else None, # re-use iList -3104 useCache=not args.no_cache, -3105 ) -3106 -3107 try: -3108 # --- set some options: -3109 -3110 if args.ticker: -3111 if args.ticker in server.aliasesKeys: -3112 server.ticker = server.aliases[args.ticker] # Replace some tickers with it's aliases -3113 -3114 else: -3115 server.ticker = args.ticker -3116 -3117 if args.figi: -3118 server.figi = args.figi -3119 -3120 if args.depth is not None: -3121 server.depth = args.depth -3122 -3123 # if args.length is not None: -3124 # server.historyLength = args.length -3125 # -3126 # if args.interval is not None: -3127 # server.historyInterval = args.interval -3128 -3129 # --- do one of commands: -3130 -3131 if args.list: -3132 if args.output is not None: -3133 server.instrumentsFile = args.output -3134 -3135 server.ShowInstrumentsInfo(showInstruments=True) -3136 -3137 elif args.search: -3138 if args.output is not None: -3139 server.searchResultsFile = args.output -3140 -3141 server.SearchInstruments(pattern=args.search[0], showResults=True) -3142 -3143 elif args.info: -3144 if not (args.ticker or args.figi): -3145 raise Exception("`--ticker` key or `--figi` key is required for this operation!") -3146 -3147 if args.ticker: -3148 server.SearchByTicker(requestPrice=True, showInfo=True, debug=False) # show info and current prices by ticker name -3149 -3150 else: -3151 server.SearchByFIGI(requestPrice=True, showInfo=True, debug=False) # show info and current prices by FIGI id -3152 -3153 elif args.price: -3154 if not (args.ticker or args.figi): -3155 raise Exception("`--ticker` key or `--figi` key is required for this operation!") -3156 -3157 server.GetCurrentPrices(showPrice=True) -3158 -3159 elif args.prices is not None: -3160 if args.output is not None: -3161 server.pricesFile = args.output -3162 -3163 server.GetListOfPrices(instruments=args.prices, showPrices=True) # WARNING: too long wait for a lot of instruments prices -3164 -3165 elif args.overview: -3166 if args.output is not None: -3167 server.overviewFile = args.output -3168 -3169 server.Overview(showStatistics=True) -3170 -3171 elif args.deals is not None: -3172 if args.output is not None: -3173 server.reportFile = args.output -3174 -3175 if 0 <= len(args.deals) < 3: -3176 server.Deals( -3177 start=args.deals[0] if len(args.deals) >= 1 else None, -3178 end=args.deals[1] if len(args.deals) == 2 else None, -3179 printDeals=True, # Always show deals report in console -3180 showCancelled=not args.no_cancelled, # If --no-cancelled key then remove cancelled operations from the deals report. False by default. -3181 ) -3182 -3183 else: -3184 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") -3185 -3186 # TODO: implement history download and view -3187 # elif args.history: -3188 # if args.output is not None: -3189 # server.historyFile = args.output -3190 # -3191 # server.History(onlyMissing=args.only_missing) -3192 -3193 elif args.trade is not None: -3194 if 1 <= len(args.trade) <= 5: -3195 server.Trade( -3196 operation=args.trade[0], -3197 lots=int(args.trade[1]) if len(args.trade) >= 2 else 1, -3198 tp=float(args.trade[2]) if len(args.trade) >= 3 else 0., -3199 sl=float(args.trade[3]) if len(args.trade) >= 4 else 0., -3200 expDate=args.trade[4] if len(args.trade) == 5 else "Undefined", -3201 ) -3202 -3203 else: -3204 uLogger.error("You must specify 1-5 parameters to open trade: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3205 -3206 elif args.buy is not None: -3207 if 0 <= len(args.buy) <= 4: -3208 server.Buy( -3209 lots=int(args.buy[0]) if len(args.buy) >= 1 else 1, -3210 tp=float(args.buy[1]) if len(args.buy) >= 2 else 0., -3211 sl=float(args.buy[2]) if len(args.buy) >= 3 else 0., -3212 expDate=args.buy[3] if len(args.buy) == 4 else "Undefined", -3213 ) -3214 -3215 else: -3216 uLogger.error("You must specify 0-4 parameters to open buy position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3217 -3218 elif args.sell is not None: -3219 if 0 <= len(args.sell) <= 4: -3220 server.Sell( -3221 lots=int(args.sell[0]) if len(args.sell) >= 1 else 1, -3222 tp=float(args.sell[1]) if len(args.sell) >= 2 else 0., -3223 sl=float(args.sell[2]) if len(args.sell) >= 3 else 0., -3224 expDate=args.sell[3] if len(args.sell) == 4 else "Undefined", -3225 ) -3226 -3227 else: -3228 uLogger.error("You must specify 0-4 parameters to open sell position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3229 -3230 elif args.order: -3231 if 4 <= len(args.order) <= 7: -3232 server.Order( -3233 operation=args.order[0], -3234 orderType=args.order[1], -3235 lots=int(args.order[2]), -3236 targetPrice=float(args.order[3]), -3237 limitPrice=float(args.order[4]) if len(args.order) >= 5 else 0., -3238 stopType=args.order[5] if len(args.order) >= 6 else "Limit", -3239 expDate=args.order[6] if len(args.order) == 7 else "Undefined", -3240 ) -3241 -3242 else: -3243 uLogger.error("You must specify 4-7 parameters to open order: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]]. See: `python TKSBrokerAPI.py --help`") -3244 -3245 elif args.buy_limit: -3246 server.BuyLimit(lots=int(args.buy_limit[0]), targetPrice=args.buy_limit[1]) -3247 -3248 elif args.sell_limit: -3249 server.SellLimit(lots=int(args.sell_limit[0]), targetPrice=args.sell_limit[1]) -3250 -3251 elif args.buy_stop: -3252 if 2 <= len(args.buy_stop) <= 7: -3253 server.BuyStop( -3254 lots=int(args.buy_stop[0]), -3255 targetPrice=float(args.buy_stop[1]), -3256 limitPrice=float(args.buy_stop[2]) if len(args.buy_stop) >= 3 else 0., -3257 stopType=args.buy_stop[3] if len(args.buy_stop) >= 4 else "Limit", -3258 expDate=args.buy_stop[4] if len(args.buy_stop) == 5 else "Undefined", -3259 ) -3260 -3261 else: -3262 uLogger.error("You must specify 2-5 parameters for buy stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") -3263 -3264 elif args.sell_stop: -3265 if 2 <= len(args.sell_stop) <= 7: -3266 server.SellStop( -3267 lots=int(args.sell_stop[0]), -3268 targetPrice=float(args.sell_stop[1]), -3269 limitPrice=float(args.sell_stop[2]) if len(args.sell_stop) >= 3 else 0., -3270 stopType=args.sell_stop[3] if len(args.sell_stop) >= 4 else "Limit", -3271 expDate=args.sell_stop[4] if len(args.sell_stop) == 5 else "Undefined", -3272 ) -3273 -3274 else: -3275 uLogger.error("You must specify 2-5 parameters for sell stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: python TKSBrokerAPI.py --help") -3276 -3277 # elif args.buy_order_grid is not None: -3278 # # TODO: update order grid work with api v2 -3279 # if len(args.buy_order_grid) == 2: -3280 # orderParams = server.ParseOrderParameters(operation="Buy", **dict(kw.split('=') for kw in args.buy_order_grid)) -3281 # -3282 # for order in orderParams: -3283 # server.Order(operation="Buy", lots=order["lot"], price=order["price"]) -3284 # -3285 # else: -3286 # uLogger.error("To open grid of pending BUY limit-orders (below current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") -3287 # -3288 # elif args.sell_order_grid is not None: -3289 # # TODO: update order grid work with api v2 -3290 # if len(args.sell_order_grid) >= 2: -3291 # orderParams = server.ParseOrderParameters(operation="Sell", **dict(kw.split('=') for kw in args.sell_order_grid)) -3292 # -3293 # for order in orderParams: -3294 # server.Order(operation="Sell", lots=order["lot"], price=order["price"]) -3295 # -3296 # else: -3297 # uLogger.error("To open grid of pending SELL limit-orders (above current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") -3298 -3299 elif args.close_order is not None: -3300 server.CloseOrders(args.close_order) # close only one order -3301 -3302 elif args.close_orders is not None: -3303 server.CloseOrders(args.close_orders) # close list of orders -3304 -3305 elif args.close_trade: -3306 if not args.ticker: -3307 raise Exception("`--ticker` key is required for this operation!") -3308 -3309 server.CloseTrades([args.ticker]) # close only one trade -3310 -3311 elif args.close_trades is not None: -3312 server.CloseTrades(args.close_trades) # close trades for list of tickers -3313 -3314 elif args.close_all is not None: -3315 server.CloseAll(*args.close_all) -3316 -3317 else: -3318 uLogger.error("There is no command to execute! One of the possible commands must be selected. See: `python TKSBrokerAPI.py --help`") -3319 raise Exception("There is no command to execute!") -3320 -3321 except Exception: -3322 exc = tb.format_exc().split("\n") -3323 -3324 for line in exc: -3325 if line: -3326 uLogger.debug(line) -3327 -3328 uLogger.debug("Unknown error occurred, open a ticket for this issue, please! https://github.com/Tim55667757/TKSBrokerAPI/issues") -3329 exitCode = 255 # unknown error occurred, must be open a ticket for this issue -3330 -3331 finally: -3332 finish = datetime.now(tzutc()) -3333 -3334 if exitCode == 0: -3335 uLogger.debug("All operations with Tinkoff Server using Open API are finished success (summary code is 0).") -3336 -3337 else: -3338 uLogger.error("TKSBrokerAPI module returns an error! See full debug log with key in run command `--debug-level 10`. Summary code: {}".format(exitCode)) -3339 -3340 uLogger.debug("TKSBrokerAPI module work duration: [{}]".format(finish - start)) -3341 uLogger.debug("TKSBrokerAPI module finished: [{}] UTC, it is [{}] local time".format( -3342 finish.strftime("%Y-%m-%d %H:%M:%S"), -3343 finish.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), -3344 )) -3345 -3346 if not kwargs: -3347 sys.exit(exitCode) -3348 -3349 else: -3350 return exitCode +diff --git a/docs/tksbrokerapi/TKSEnums.html b/docs/tksbrokerapi/TKSEnums.html index fb8cfa4..77b777a 100644 --- a/docs/tksbrokerapi/TKSEnums.html +++ b/docs/tksbrokerapi/TKSEnums.html @@ -30,6 +30,9 @@3172def Main(**kwargs): +3173 """ +3174 Main function for work with Tinkoff Open API service. It realizes simple logic: get a lot of options and execute one command. +3175 +3176 See examples: https://tim55667757.github.io/TKSBrokerAPI/ +3177 """ +3178 args = Args(**kwargs) if kwargs else ParseArgs() # get and parse command-line parameters or use **kwarg parameters +3179 +3180 if args.debug_level: +3181 uLogger.level = 10 # always debug level by default +3182 uLogger.handlers[0].level = args.debug_level # level for STDOUT +3183 +3184 exitCode = 0 +3185 start = datetime.now(tzutc()) +3186 uLogger.debug("TKSBrokerAPI module started at: [{}] UTC, it is [{}] local time".format( +3187 start.strftime("%Y-%m-%d %H:%M:%S"), +3188 start.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), +3189 )) +3190 +3191 # Init class for trading with Tinkoff Broker: +3192 server = TinkoffBrokerServer( +3193 token=args.token, +3194 accountId=args.account_id, +3195 iList=kwargs["instruments"] if kwargs and "instruments" in kwargs.keys() else None, # re-use iList +3196 useCache=not args.no_cache, +3197 ) +3198 +3199 try: +3200 # --- set some options: +3201 +3202 if args.ticker: +3203 if args.ticker in server.aliasesKeys: +3204 server.ticker = server.aliases[args.ticker] # Replace some tickers with it's aliases +3205 +3206 else: +3207 server.ticker = args.ticker +3208 +3209 if args.figi: +3210 server.figi = args.figi +3211 +3212 if args.depth is not None: +3213 server.depth = args.depth +3214 +3215 # if args.length is not None: +3216 # server.historyLength = args.length +3217 # +3218 # if args.interval is not None: +3219 # server.historyInterval = args.interval +3220 +3221 # --- do one of commands: +3222 +3223 if args.list: +3224 if args.output is not None: +3225 server.instrumentsFile = args.output +3226 +3227 server.ShowInstrumentsInfo(showInstruments=True) +3228 +3229 elif args.search: +3230 if args.output is not None: +3231 server.searchResultsFile = args.output +3232 +3233 server.SearchInstruments(pattern=args.search[0], showResults=True) +3234 +3235 elif args.info: +3236 if not (args.ticker or args.figi): +3237 raise Exception("`--ticker` key or `--figi` key is required for this operation!") +3238 +3239 if args.ticker: +3240 server.SearchByTicker(requestPrice=True, showInfo=True, debug=False) # show info and current prices by ticker name +3241 +3242 else: +3243 server.SearchByFIGI(requestPrice=True, showInfo=True, debug=False) # show info and current prices by FIGI id +3244 +3245 elif args.price: +3246 if not (args.ticker or args.figi): +3247 raise Exception("`--ticker` key or `--figi` key is required for this operation!") +3248 +3249 server.GetCurrentPrices(showPrice=True) +3250 +3251 elif args.prices is not None: +3252 if args.output is not None: +3253 server.pricesFile = args.output +3254 +3255 server.GetListOfPrices(instruments=args.prices, showPrices=True) # WARNING: too long wait for a lot of instruments prices +3256 +3257 elif args.overview: +3258 if args.output is not None: +3259 server.overviewFile = args.output +3260 +3261 server.Overview(showStatistics=True, details="full") +3262 +3263 elif args.overview_digest: +3264 if args.output is not None: +3265 server.overviewDigestFile = args.output +3266 +3267 server.Overview(showStatistics=True, details="digest") +3268 +3269 elif args.overview_positions: +3270 if args.output is not None: +3271 server.overviewPositionsFile = args.output +3272 +3273 server.Overview(showStatistics=True, details="positions") +3274 +3275 elif args.overview_orders: +3276 if args.output is not None: +3277 server.overviewOrdersFile = args.output +3278 +3279 server.Overview(showStatistics=True, details="orders") +3280 +3281 elif args.overview_analytics: +3282 if args.output is not None: +3283 server.overviewAnalyticsFile = args.output +3284 +3285 server.Overview(showStatistics=True, details="analytics") +3286 +3287 elif args.deals is not None: +3288 if args.output is not None: +3289 server.reportFile = args.output +3290 +3291 if 0 <= len(args.deals) < 3: +3292 server.Deals( +3293 start=args.deals[0] if len(args.deals) >= 1 else None, +3294 end=args.deals[1] if len(args.deals) == 2 else None, +3295 printDeals=True, # Always show deals report in console +3296 showCancelled=not args.no_cancelled, # If --no-cancelled key then remove cancelled operations from the deals report. False by default. +3297 ) +3298 +3299 else: +3300 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") +3301 +3302 elif args.history is not None: +3303 if args.output is not None: +3304 server.historyFile = args.output +3305 +3306 if 0 <= len(args.history) < 3: +3307 server.History( +3308 start=args.history[0] if len(args.history) >= 1 else None, +3309 end=args.history[1] if len(args.history) == 2 else None, +3310 interval="hour" if args.interval is None or not args.interval else args.interval, +3311 onlyMissing=False if args.only_missing is None or not args.only_missing else args.only_missing, +3312 csvSep="," if args.csv_sep is None or not args.csv_sep else args.csv_sep, +3313 printCandles=True, # shows all downloaded candles in console +3314 ) +3315 +3316 else: +3317 raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") +3318 +3319 elif args.trade is not None: +3320 if 1 <= len(args.trade) <= 5: +3321 server.Trade( +3322 operation=args.trade[0], +3323 lots=int(args.trade[1]) if len(args.trade) >= 2 else 1, +3324 tp=float(args.trade[2]) if len(args.trade) >= 3 else 0., +3325 sl=float(args.trade[3]) if len(args.trade) >= 4 else 0., +3326 expDate=args.trade[4] if len(args.trade) == 5 else "Undefined", +3327 ) +3328 +3329 else: +3330 uLogger.error("You must specify 1-5 parameters to open trade: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3331 +3332 elif args.buy is not None: +3333 if 0 <= len(args.buy) <= 4: +3334 server.Buy( +3335 lots=int(args.buy[0]) if len(args.buy) >= 1 else 1, +3336 tp=float(args.buy[1]) if len(args.buy) >= 2 else 0., +3337 sl=float(args.buy[2]) if len(args.buy) >= 3 else 0., +3338 expDate=args.buy[3] if len(args.buy) == 4 else "Undefined", +3339 ) +3340 +3341 else: +3342 uLogger.error("You must specify 0-4 parameters to open buy position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3343 +3344 elif args.sell is not None: +3345 if 0 <= len(args.sell) <= 4: +3346 server.Sell( +3347 lots=int(args.sell[0]) if len(args.sell) >= 1 else 1, +3348 tp=float(args.sell[1]) if len(args.sell) >= 2 else 0., +3349 sl=float(args.sell[2]) if len(args.sell) >= 3 else 0., +3350 expDate=args.sell[3] if len(args.sell) == 4 else "Undefined", +3351 ) +3352 +3353 else: +3354 uLogger.error("You must specify 0-4 parameters to open sell position: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3355 +3356 elif args.order: +3357 if 4 <= len(args.order) <= 7: +3358 server.Order( +3359 operation=args.order[0], +3360 orderType=args.order[1], +3361 lots=int(args.order[2]), +3362 targetPrice=float(args.order[3]), +3363 limitPrice=float(args.order[4]) if len(args.order) >= 5 else 0., +3364 stopType=args.order[5] if len(args.order) >= 6 else "Limit", +3365 expDate=args.order[6] if len(args.order) == 7 else "Undefined", +3366 ) +3367 +3368 else: +3369 uLogger.error("You must specify 4-7 parameters to open order: [direction `Buy` or `Sell`] [order type `Limit` or `Stop`] [lots] [target price] [maybe for stop-order: [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]]. See: `python TKSBrokerAPI.py --help`") +3370 +3371 elif args.buy_limit: +3372 server.BuyLimit(lots=int(args.buy_limit[0]), targetPrice=args.buy_limit[1]) +3373 +3374 elif args.sell_limit: +3375 server.SellLimit(lots=int(args.sell_limit[0]), targetPrice=args.sell_limit[1]) +3376 +3377 elif args.buy_stop: +3378 if 2 <= len(args.buy_stop) <= 7: +3379 server.BuyStop( +3380 lots=int(args.buy_stop[0]), +3381 targetPrice=float(args.buy_stop[1]), +3382 limitPrice=float(args.buy_stop[2]) if len(args.buy_stop) >= 3 else 0., +3383 stopType=args.buy_stop[3] if len(args.buy_stop) >= 4 else "Limit", +3384 expDate=args.buy_stop[4] if len(args.buy_stop) == 5 else "Undefined", +3385 ) +3386 +3387 else: +3388 uLogger.error("You must specify 2-5 parameters for buy stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: `python TKSBrokerAPI.py --help`") +3389 +3390 elif args.sell_stop: +3391 if 2 <= len(args.sell_stop) <= 7: +3392 server.SellStop( +3393 lots=int(args.sell_stop[0]), +3394 targetPrice=float(args.sell_stop[1]), +3395 limitPrice=float(args.sell_stop[2]) if len(args.sell_stop) >= 3 else 0., +3396 stopType=args.sell_stop[3] if len(args.sell_stop) >= 4 else "Limit", +3397 expDate=args.sell_stop[4] if len(args.sell_stop) == 5 else "Undefined", +3398 ) +3399 +3400 else: +3401 uLogger.error("You must specify 2-5 parameters for sell stop-order: [lots] [target price] [limit price, >= 0] [stop type, Limit|SL|TP] [expiration date, Undefined|`%Y-%m-%d %H:%M:%S`]. See: python TKSBrokerAPI.py --help") +3402 +3403 # elif args.buy_order_grid is not None: +3404 # # TODO: update order grid work with api v2 +3405 # if len(args.buy_order_grid) == 2: +3406 # orderParams = server.ParseOrderParameters(operation="Buy", **dict(kw.split('=') for kw in args.buy_order_grid)) +3407 # +3408 # for order in orderParams: +3409 # server.Order(operation="Buy", lots=order["lot"], price=order["price"]) +3410 # +3411 # else: +3412 # uLogger.error("To open grid of pending BUY limit-orders (below current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") +3413 # +3414 # elif args.sell_order_grid is not None: +3415 # # TODO: update order grid work with api v2 +3416 # if len(args.sell_order_grid) >= 2: +3417 # orderParams = server.ParseOrderParameters(operation="Sell", **dict(kw.split('=') for kw in args.sell_order_grid)) +3418 # +3419 # for order in orderParams: +3420 # server.Order(operation="Sell", lots=order["lot"], price=order["price"]) +3421 # +3422 # else: +3423 # uLogger.error("To open grid of pending SELL limit-orders (above current price) you must specified 2 parameters: l(ots)=[L_int,...] p(rices)=[P_float,...]. See: `python TKSBrokerAPI.py --help`") +3424 +3425 elif args.close_order is not None: +3426 server.CloseOrders(args.close_order) # close only one order +3427 +3428 elif args.close_orders is not None: +3429 server.CloseOrders(args.close_orders) # close list of orders +3430 +3431 elif args.close_trade: +3432 if not args.ticker: +3433 raise Exception("`--ticker` key is required for this operation!") +3434 +3435 server.CloseTrades([args.ticker]) # close only one trade +3436 +3437 elif args.close_trades is not None: +3438 server.CloseTrades(args.close_trades) # close trades for list of tickers +3439 +3440 elif args.close_all is not None: +3441 server.CloseAll(*args.close_all) +3442 +3443 else: +3444 uLogger.error("There is no command to execute! One of the possible commands must be selected. See: `python TKSBrokerAPI.py --help`") +3445 raise Exception("There is no command to execute!") +3446 +3447 except Exception: +3448 trace = tb.format_exc() +3449 for e in ["socket.gaierror", "nodename nor servname provided", "or not known", "NewConnectionError", "[Errno 8]", "Failed to establish a new connection"]: +3450 if e in trace: +3451 uLogger.error("Check your Internet connection! Failed to establish connection to broker server!") +3452 break +3453 +3454 uLogger.debug(trace) +3455 uLogger.debug("Please, checks troubleshooting or open a ticket for this issue at https://github.com/Tim55667757/TKSBrokerAPI/issues") +3456 exitCode = 255 # an error occurred, must be open a ticket for this issue +3457 +3458 finally: +3459 finish = datetime.now(tzutc()) +3460 +3461 if exitCode == 0: +3462 uLogger.debug("All operations with Tinkoff Server using Open API are finished success (summary code is 0).") +3463 +3464 else: +3465 uLogger.error("An issue occurred with TKSBrokerAPI module! See full debug log in [{}] or run TKSBrokerAPI once again with the key `--debug-level 10`. Summary code: {}".format( +3466 os.path.abspath(uLog.defaultLogFile), exitCode, +3467 )) +3468 +3469 uLogger.debug("TKSBrokerAPI module work duration: [{}]".format(finish - start)) +3470 uLogger.debug("TKSBrokerAPI module finished: [{}] UTC, it is [{}] local time".format( +3471 finish.strftime("%Y-%m-%d %H:%M:%S"), +3472 finish.astimezone(tzlocal()).strftime("%Y-%m-%d %H:%M:%S"), +3473 )) +3474 +3475 if not kwargs: +3476 sys.exit(exitCode) +3477 +3478 else: +3479 return exitCodeAPI Documentation
+
- + TKS_DATE_TIME_FORMAT +
- TKS_INSTRUMENTS
@@ -37,7 +40,7 @@API Documentation
TKS_TICKER_ALIASES- - TKS_TIMEFRAMES + TKS_CANDLE_INTERVALS
- TKS_TRADING_STATUSES @@ -93,194 +96,205 @@
-
1# -*- coding: utf-8 -*- - 2# Author: Timur Gilmullin - 3 - 4""" - 5Module contains a lot of constants from enums sections of Tinkoff Open API documentation. - 6 - 7About Tinkoff Invest API: https://tinkoff.github.io/investAPI/ - 8 - 9Tinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/ - 10""" - 11 - 12# Copyright (c) 2022 Gilmillin Timur Mansurovich - 13# - 14# Licensed under the Apache License, Version 2.0 (the "License"); - 15# you may not use this file except in compliance with the License. - 16# You may obtain a copy of the License at - 17# - 18# http://www.apache.org/licenses/LICENSE-2.0 - 19# - 20# Unless required by applicable law or agreed to in writing, software - 21# distributed under the License is distributed on an "AS IS" BASIS, - 22# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - 23# See the License for the specific language governing permissions and - 24# limitations under the License. - 25 - 26 - 27TKS_INSTRUMENTS = ["Currencies", "Shares", "Bonds", "Etfs", "Futures"] - 28"""Type of instrument for trade methods must be only one of supported types, listed in this constant. Default: `["Currencies", "Shares", "Bonds", "Etfs", "Futures"]`""" - 29 - 30TKS_TICKER_ALIASES = { - 31 "USD": "USD000UTSTOM", "usd": "USD000UTSTOM", # FIGI: BBG0013HGFT4 - 32 "EUR": "EUR_RUB__TOM", "eur": "EUR_RUB__TOM", # FIGI: BBG0013HJJ31 - 33 "GBP": "GBPRUB_TOM", "gbp": "GBPRUB_TOM", # FIGI: BBG0013HQ5F0 - 34 "CHF": "CHFRUB_TOM", "chf": "CHFRUB_TOM", # FIGI: BBG0013HQ5K4 - 35 "CNY": "CNYRUB_TOM", "cny": "CNYRUB_TOM", # FIGI: BBG0013HRTL0 - 36 "HKD": "HKDRUB_TOM", "hkd": "HKDRUB_TOM", # FIGI: BBG0013HSW87 - 37 "TRY": "TRYRUB_TOM", "try": "TRYRUB_TOM", # FIGI: BBG0013J12N1 - 38} - 39"""Some aliases instead official tickers for using in CLI. For example, you can use `"USD"` instead of `"USD000UTSTOM"`.""" - 40 - 41# some tickers or FIGIs raised exception earlier when it sends to server, that is why we exclude there: - 42TKS_TICKERS_OR_FIGI_EXCLUDED = [ - 43 # "ISSUANCEBRUS", # now available - 44] - 45 - 46TKS_TIMEFRAMES = { - 47 "1min": {"minutes": 1, "maxCandles": 1439}, # max count in block for this API request: 1 day (and -1 minute) - 48 "2min": {"minutes": 2, "maxCandles": 719}, # max count in block for this API request: 1 day (and -2 minutes) - 49 "3min": {"minutes": 3, "maxCandles": 479}, # max count in block for this API request: 1 day (and and -3 minutes) - 50 "5min": {"minutes": 5, "maxCandles": 287}, # max count in block for this API request: 1 day (and -5 minutes) - 51 "10min": {"minutes": 10, "maxCandles": 143}, # max count in block for this API request: 1 day (and -10 minutes) - 52 "15min": {"minutes": 15, "maxCandles": 95}, # max count in block for this API request: 1 day (and -15 minutes) - 53 "30min": {"minutes": 30, "maxCandles": 47}, # max count in block for this API request: 1 day (and -30 minutes) - 54 "hour": {"minutes": 60, "maxCandles": 167}, # max count in block for this API request: 7 days (and -1 hour) - 55 "day": {"minutes": 1440, "maxCandles": 365}, # max count in block for this API request: 1 year - 56 "week": {"minutes": 10080, "maxCandles": 104}, # max count in block for this API request: 2 years - 57 "month": {"minutes": 43200, "maxCandles": 119}, # max count in block for this API request: 10 years - 58} - 59"""How many minutes in interval and maximum count of candles in one history block returns by Tinkoff API in one request. - 60See more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles - 61""" - 62 - 63TKS_TRADING_STATUSES = { - 64 "SECURITY_TRADING_STATUS_UNSPECIFIED": "Trading status undefined", - 65 "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING": "Not available for trading", - 66 "SECURITY_TRADING_STATUS_OPENING_PERIOD": "Trade opening period", - 67 "SECURITY_TRADING_STATUS_CLOSING_PERIOD": "Trade closing period", - 68 "SECURITY_TRADING_STATUS_BREAK_IN_TRADING": "Break in trading", - 69 "SECURITY_TRADING_STATUS_NORMAL_TRADING": "Normal trading", - 70 "SECURITY_TRADING_STATUS_CLOSING_AUCTION": "Closing auction", - 71 "SECURITY_TRADING_STATUS_DARK_POOL_AUCTION": "Large package auction", - 72 "SECURITY_TRADING_STATUS_DISCRETE_AUCTION": "Discrete auction", - 73 "SECURITY_TRADING_STATUS_OPENING_AUCTION_PERIOD": "Opening auction", - 74 "SECURITY_TRADING_STATUS_TRADING_AT_CLOSING_AUCTION_PRICE": "Trading period at the closing auction price", - 75 "SECURITY_TRADING_STATUS_SESSION_ASSIGNED": "Session assigned", - 76 "SECURITY_TRADING_STATUS_SESSION_CLOSE": "Session closed", - 77 "SECURITY_TRADING_STATUS_SESSION_OPEN": "Session is open", - 78 "SECURITY_TRADING_STATUS_DEALER_NORMAL_TRADING": "Broker's internal liquidity mode trading", - 79 "SECURITY_TRADING_STATUS_DEALER_BREAK_IN_TRADING": "Break in trading in the broker's internal liquidity mode", - 80 "SECURITY_TRADING_STATUS_DEALER_NOT_AVAILABLE_FOR_TRADING": "Broker's internal liquidity mode is not available", - 81} - 82"""Security Trading Status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#securitytradingstatus""" - 83 - 84TKS_OPERATION_TYPES = { - 85 "OPERATION_TYPE_UNSPECIFIED": "The operation type is not defined", - 86 "OPERATION_TYPE_INPUT": "Deposit on broker account", - 87 "OPERATION_TYPE_BOND_TAX": "Withholding personal income tax on bond coupons", - 88 "OPERATION_TYPE_OUTPUT_SECURITIES": "Securities output", - 89 "OPERATION_TYPE_OVERNIGHT": "Overnight REPO income", - 90 "OPERATION_TYPE_TAX": "Tax withholding", - 91 "OPERATION_TYPE_BOND_REPAYMENT_FULL": "Full bond redemption", - 92 "OPERATION_TYPE_SELL_CARD": "Sell securities from the card", - 93 "OPERATION_TYPE_DIVIDEND_TAX": "Withholding tax on dividends", - 94 "OPERATION_TYPE_OUTPUT": "Withdrawals", - 95 "OPERATION_TYPE_BOND_REPAYMENT": "Bonds partial redemption", - 96 "OPERATION_TYPE_TAX_CORRECTION": "Tax correction", - 97 "OPERATION_TYPE_SERVICE_FEE": "Brokerage account maintenance fee deduction", - 98 "OPERATION_TYPE_BENEFIT_TAX": "Withholding tax for material benefits", - 99 "OPERATION_TYPE_MARGIN_FEE": "Withholding commission for an uncovered position", -100 "OPERATION_TYPE_BUY": "Buy securities", -101 "OPERATION_TYPE_BUY_CARD": "Buy securities from a card", -102 "OPERATION_TYPE_INPUT_SECURITIES": "Transfer securities from another depository", -103 "OPERATION_TYPE_SELL_MARGIN": "Sell (by margin call)", -104 "OPERATION_TYPE_BROKER_FEE": "Operation fee deduction", -105 "OPERATION_TYPE_BUY_MARGIN": "Buy (by margin call)", -106 "OPERATION_TYPE_DIVIDEND": "Dividends income", -107 "OPERATION_TYPE_SELL": "Sell securities", -108 "OPERATION_TYPE_COUPON": "Coupons income", -109 "OPERATION_TYPE_SUCCESS_FEE": "Success fee deduction", -110 "OPERATION_TYPE_DIVIDEND_TRANSFER": "Transfer of dividend income", -111 "OPERATION_TYPE_ACCRUING_VARMARGIN": "Variation margin crediting", -112 "OPERATION_TYPE_WRITING_OFF_VARMARGIN": "Withholding variation margin", -113 "OPERATION_TYPE_DELIVERY_BUY": "Buy (futures contract expired)", -114 "OPERATION_TYPE_DELIVERY_SELL": "Sell (futures contract expired)", -115 "OPERATION_TYPE_TRACK_MFEE": "Autotrack account management fee", -116 "OPERATION_TYPE_TRACK_PFEE": "Pay per result on auto follow score", -117 "OPERATION_TYPE_TAX_PROGRESSIVE": "Tax withholding at the rate of 15%", -118 "OPERATION_TYPE_BOND_TAX_PROGRESSIVE": "Withholding tax on coupons at the rate of 15%", -119 "OPERATION_TYPE_DIVIDEND_TAX_PROGRESSIVE": "Withholding tax on dividends at the rate of 15%", -120 "OPERATION_TYPE_BENEFIT_TAX_PROGRESSIVE": "Withholding tax for material benefits at the rate of 15%", -121 "OPERATION_TYPE_TAX_CORRECTION_PROGRESSIVE": "Tax correction at the rate of 15%", -122 "OPERATION_TYPE_TAX_REPO_PROGRESSIVE": "Withholding tax on refunds on REPO transactions at the rate of 15%", -123 "OPERATION_TYPE_TAX_REPO": "Tax withholding on REPO trade refunds", -124 "OPERATION_TYPE_TAX_REPO_HOLD": "Tax hold on REPO transactions", -125 "OPERATION_TYPE_TAX_REPO_REFUND": "Tax refund on REPO transactions", -126 "OPERATION_TYPE_TAX_REPO_HOLD_PROGRESSIVE": "Withholding tax on REPO transactions at the rate of 15%", -127 "OPERATION_TYPE_TAX_REPO_REFUND_PROGRESSIVE": "Tax refund on REPO transactions at the rate of 15%", -128 "OPERATION_TYPE_DIV_EXT": "Payout dividends to the card", -129 "OPERATION_TYPE_TAX_CORRECTION_COUPON": "Coupon tax correction", -130} -131"""Operation type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationtype""" -132 -133TKS_OPERATION_STATES = { -134 "OPERATION_STATE_UNSPECIFIED": "! Unknown", -135 "OPERATION_STATE_EXECUTED": "√ Executed", -136 "OPERATION_STATE_CANCELED": "× Canceled", -137} -138"""Operation state enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationstate""" -139 -140TKS_ORDER_DIRECTIONS = { -141 "ORDER_DIRECTION_UNSPECIFIED": "Undefined", -142 "ORDER_DIRECTION_BUY": "↑ Buy", -143 "ORDER_DIRECTION_SELL": "↓ Sell", -144} -145"""Order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderdirection""" -146 -147TKS_STOP_ORDER_DIRECTIONS = { -148 "STOP_ORDER_DIRECTION_UNSPECIFIED": "Undefined", -149 "STOP_ORDER_DIRECTION_BUY": "↑ Buy", -150 "STOP_ORDER_DIRECTION_SELL": "↓ Sell", -151} -152"""Stop-order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderdirection""" -153 -154TKS_ORDER_TYPES = { -155 "ORDER_TYPE_UNSPECIFIED": "Undefined", -156 "ORDER_TYPE_LIMIT": "Limit", -157 "ORDER_TYPE_MARKET": "Market", -158} -159"""Order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#ordertype""" -160 -161TKS_STOP_ORDER_TYPES = { -162 "STOP_ORDER_TYPE_UNSPECIFIED": "Undefined", -163 "STOP_ORDER_TYPE_TAKE_PROFIT": "Take profit", -164 "STOP_ORDER_TYPE_STOP_LOSS": "Stop loss", -165 "STOP_ORDER_TYPE_STOP_LIMIT": "Stop limit", -166} -167"""Stop-order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stopordertype""" -168 -169TKS_ORDER_STATES = { -170 "EXECUTION_REPORT_STATUS_UNSPECIFIED": "! Unknown", -171 "EXECUTION_REPORT_STATUS_FILL": "Performed", -172 "EXECUTION_REPORT_STATUS_REJECTED": "Rejected", -173 "EXECUTION_REPORT_STATUS_CANCELLED": "Cancelled", -174 "EXECUTION_REPORT_STATUS_NEW": "New order", -175 "EXECUTION_REPORT_STATUS_PARTIALLYFILL": "Partially filled", -176} -177"""Order status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderexecutionreportstatus""" -178 -179TKS_STOP_ORDER_EXPIRATION_TYPES = { -180 "STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED": "Undefined", -181 "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL": "Until cancel", -182 "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE": "Until date", -183} -184"""Expiration type of stop-orders enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderexpirationtype""" ++1# -*- coding: utf-8 -*- + 2# Author: Timur Gilmullin + 3 + 4""" + 5Module contains a lot of constants from enums sections of Tinkoff Open API documentation. + 6 + 7About Tinkoff Invest API: https://tinkoff.github.io/investAPI/ + 8 + 9Tinkoff Invest API documentation: https://tinkoff.github.io/investAPI/swagger-ui/ + 10""" + 11 + 12# Copyright (c) 2022 Gilmillin Timur Mansurovich + 13# + 14# Licensed under the Apache License, Version 2.0 (the "License"); + 15# you may not use this file except in compliance with the License. + 16# You may obtain a copy of the License at + 17# + 18# http://www.apache.org/licenses/LICENSE-2.0 + 19# + 20# Unless required by applicable law or agreed to in writing, software + 21# distributed under the License is distributed on an "AS IS" BASIS, + 22# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + 23# See the License for the specific language governing permissions and + 24# limitations under the License. + 25 + 26 + 27TKS_DATE_TIME_FORMAT = "%Y-%m-%dT%H:%M:%SZ" + 28"""Date and time string format used by Tinkoff Open API. Default: `"%Y-%m-%dT%H:%M:%SZ"`.""" + 29 + 30TKS_INSTRUMENTS = ["Currencies", "Shares", "Bonds", "Etfs", "Futures"] + 31"""Type of instrument for trade methods must be only one of supported types, listed in this constant. Default: `["Currencies", "Shares", "Bonds", "Etfs", "Futures"]`""" + 32 + 33TKS_TICKER_ALIASES = { + 34 "USD": "USD000UTSTOM", "usd": "USD000UTSTOM", # FIGI: BBG0013HGFT4 + 35 "EUR": "EUR_RUB__TOM", "eur": "EUR_RUB__TOM", # FIGI: BBG0013HJJ31 + 36 "GBP": "GBPRUB_TOM", "gbp": "GBPRUB_TOM", # FIGI: BBG0013HQ5F0 + 37 "CHF": "CHFRUB_TOM", "chf": "CHFRUB_TOM", # FIGI: BBG0013HQ5K4 + 38 "CNY": "CNYRUB_TOM", "cny": "CNYRUB_TOM", # FIGI: BBG0013HRTL0 + 39 "HKD": "HKDRUB_TOM", "hkd": "HKDRUB_TOM", # FIGI: BBG0013HSW87 + 40 "TRY": "TRYRUB_TOM", "try": "TRYRUB_TOM", # FIGI: BBG0013J12N1 + 41} + 42"""Some aliases instead official tickers for using in CLI. For example, you can use `"USD"` instead of `"USD000UTSTOM"`.""" + 43 + 44# some tickers or FIGIs raised exception earlier when it sends to server, that is why we exclude there: + 45TKS_TICKERS_OR_FIGI_EXCLUDED = [ + 46 # "ISSUANCEBRUS", # now available + 47] + 48 + 49TKS_CANDLE_INTERVALS = { # List values: 1st - Tinkoff API parameter, 2nd - minutes count, 3rd - max candles in block + 50 "Undefined": ["CANDLE_INTERVAL_UNSPECIFIED", 0, 0], + 51 "1min": ["CANDLE_INTERVAL_1_MIN", 1, 1438], # max count in API request block: 1 day (1440 min) and -2 minute + 52 "5min": ["CANDLE_INTERVAL_5_MIN", 5, 287], # max count in API request block: 1 day (288 by 5 min) and -5 minute + 53 "15min": ["CANDLE_INTERVAL_15_MIN", 15, 95], # max count in API request block: 1 day (96 by 15 min) and -15 minute + 54 "hour": ["CANDLE_INTERVAL_HOUR", 60, 167], # max count in API request block: 1 week (168 hours) and -1 hour + 55 "day": ["CANDLE_INTERVAL_DAY", 1440, 364], # max count in API request block: 1 year (365 days) and -1 day + 56} + 57"""Candles interval for requesting history data with Tinkoff API. Current available keys are `"1min"`, `"5min"`, `"15min"`, `"hour"`, `"day"`. + 58See more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles + 59""" + 60 + 61TKS_TRADING_STATUSES = { + 62 "SECURITY_TRADING_STATUS_UNSPECIFIED": "Trading status undefined", + 63 "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING": "Not available for trading", + 64 "SECURITY_TRADING_STATUS_OPENING_PERIOD": "Trade opening period", + 65 "SECURITY_TRADING_STATUS_CLOSING_PERIOD": "Trade closing period", + 66 "SECURITY_TRADING_STATUS_BREAK_IN_TRADING": "Break in trading", + 67 "SECURITY_TRADING_STATUS_NORMAL_TRADING": "Normal trading", + 68 "SECURITY_TRADING_STATUS_CLOSING_AUCTION": "Closing auction", + 69 "SECURITY_TRADING_STATUS_DARK_POOL_AUCTION": "Large package auction", + 70 "SECURITY_TRADING_STATUS_DISCRETE_AUCTION": "Discrete auction", + 71 "SECURITY_TRADING_STATUS_OPENING_AUCTION_PERIOD": "Opening auction", + 72 "SECURITY_TRADING_STATUS_TRADING_AT_CLOSING_AUCTION_PRICE": "Trading period at the closing auction price", + 73 "SECURITY_TRADING_STATUS_SESSION_ASSIGNED": "Session assigned", + 74 "SECURITY_TRADING_STATUS_SESSION_CLOSE": "Session closed", + 75 "SECURITY_TRADING_STATUS_SESSION_OPEN": "Session is open", + 76 "SECURITY_TRADING_STATUS_DEALER_NORMAL_TRADING": "Broker's internal liquidity mode trading", + 77 "SECURITY_TRADING_STATUS_DEALER_BREAK_IN_TRADING": "Break in trading in the broker's internal liquidity mode", + 78 "SECURITY_TRADING_STATUS_DEALER_NOT_AVAILABLE_FOR_TRADING": "Broker's internal liquidity mode is not available", + 79} + 80"""Security Trading Status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#securitytradingstatus""" + 81 + 82TKS_OPERATION_TYPES = { + 83 "OPERATION_TYPE_UNSPECIFIED": "The operation type is not defined", + 84 "OPERATION_TYPE_INPUT": "Deposit on broker account", + 85 "OPERATION_TYPE_BOND_TAX": "Withholding personal income tax on bond coupons", + 86 "OPERATION_TYPE_OUTPUT_SECURITIES": "Securities output", + 87 "OPERATION_TYPE_OVERNIGHT": "Overnight REPO income", + 88 "OPERATION_TYPE_TAX": "Tax withholding", + 89 "OPERATION_TYPE_BOND_REPAYMENT_FULL": "Full bond redemption", + 90 "OPERATION_TYPE_SELL_CARD": "Sell securities from the card", + 91 "OPERATION_TYPE_DIVIDEND_TAX": "Withholding tax on dividends", + 92 "OPERATION_TYPE_OUTPUT": "Withdrawals", + 93 "OPERATION_TYPE_BOND_REPAYMENT": "Bonds partial redemption", + 94 "OPERATION_TYPE_TAX_CORRECTION": "Tax correction", + 95 "OPERATION_TYPE_SERVICE_FEE": "Brokerage account maintenance fee deduction", + 96 "OPERATION_TYPE_BENEFIT_TAX": "Withholding tax for material benefits", + 97 "OPERATION_TYPE_MARGIN_FEE": "Withholding commission for an uncovered position", + 98 "OPERATION_TYPE_BUY": "Buy securities", + 99 "OPERATION_TYPE_BUY_CARD": "Buy securities from a card", +100 "OPERATION_TYPE_INPUT_SECURITIES": "Transfer securities from another depository", +101 "OPERATION_TYPE_SELL_MARGIN": "Sell (by margin call)", +102 "OPERATION_TYPE_BROKER_FEE": "Operation fee deduction", +103 "OPERATION_TYPE_BUY_MARGIN": "Buy (by margin call)", +104 "OPERATION_TYPE_DIVIDEND": "Dividends income", +105 "OPERATION_TYPE_SELL": "Sell securities", +106 "OPERATION_TYPE_COUPON": "Coupons income", +107 "OPERATION_TYPE_SUCCESS_FEE": "Success fee deduction", +108 "OPERATION_TYPE_DIVIDEND_TRANSFER": "Transfer of dividend income", +109 "OPERATION_TYPE_ACCRUING_VARMARGIN": "Variation margin crediting", +110 "OPERATION_TYPE_WRITING_OFF_VARMARGIN": "Withholding variation margin", +111 "OPERATION_TYPE_DELIVERY_BUY": "Buy (futures contract expired)", +112 "OPERATION_TYPE_DELIVERY_SELL": "Sell (futures contract expired)", +113 "OPERATION_TYPE_TRACK_MFEE": "Autotrack account management fee", +114 "OPERATION_TYPE_TRACK_PFEE": "Pay per result on auto follow score", +115 "OPERATION_TYPE_TAX_PROGRESSIVE": "Tax withholding at the rate of 15%", +116 "OPERATION_TYPE_BOND_TAX_PROGRESSIVE": "Withholding tax on coupons at the rate of 15%", +117 "OPERATION_TYPE_DIVIDEND_TAX_PROGRESSIVE": "Withholding tax on dividends at the rate of 15%", +118 "OPERATION_TYPE_BENEFIT_TAX_PROGRESSIVE": "Withholding tax for material benefits at the rate of 15%", +119 "OPERATION_TYPE_TAX_CORRECTION_PROGRESSIVE": "Tax correction at the rate of 15%", +120 "OPERATION_TYPE_TAX_REPO_PROGRESSIVE": "Withholding tax on refunds on REPO transactions at the rate of 15%", +121 "OPERATION_TYPE_TAX_REPO": "Tax withholding on REPO trade refunds", +122 "OPERATION_TYPE_TAX_REPO_HOLD": "Tax hold on REPO transactions", +123 "OPERATION_TYPE_TAX_REPO_REFUND": "Tax refund on REPO transactions", +124 "OPERATION_TYPE_TAX_REPO_HOLD_PROGRESSIVE": "Withholding tax on REPO transactions at the rate of 15%", +125 "OPERATION_TYPE_TAX_REPO_REFUND_PROGRESSIVE": "Tax refund on REPO transactions at the rate of 15%", +126 "OPERATION_TYPE_DIV_EXT": "Payout dividends to the card", +127 "OPERATION_TYPE_TAX_CORRECTION_COUPON": "Coupon tax correction", +128} +129"""Operation type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationtype""" +130 +131TKS_OPERATION_STATES = { +132 "OPERATION_STATE_UNSPECIFIED": "! Unknown", +133 "OPERATION_STATE_EXECUTED": "√ Executed", +134 "OPERATION_STATE_CANCELED": "× Canceled", +135} +136"""Operation state enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/operations/#operationstate""" +137 +138TKS_ORDER_DIRECTIONS = { +139 "ORDER_DIRECTION_UNSPECIFIED": "Undefined", +140 "ORDER_DIRECTION_BUY": "↑ Buy", +141 "ORDER_DIRECTION_SELL": "↓ Sell", +142} +143"""Order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderdirection""" +144 +145TKS_STOP_ORDER_DIRECTIONS = { +146 "STOP_ORDER_DIRECTION_UNSPECIFIED": "Undefined", +147 "STOP_ORDER_DIRECTION_BUY": "↑ Buy", +148 "STOP_ORDER_DIRECTION_SELL": "↓ Sell", +149} +150"""Stop-order direction enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderdirection""" +151 +152TKS_ORDER_TYPES = { +153 "ORDER_TYPE_UNSPECIFIED": "Undefined", +154 "ORDER_TYPE_LIMIT": "Limit", +155 "ORDER_TYPE_MARKET": "Market", +156} +157"""Order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#ordertype""" +158 +159TKS_STOP_ORDER_TYPES = { +160 "STOP_ORDER_TYPE_UNSPECIFIED": "Undefined", +161 "STOP_ORDER_TYPE_TAKE_PROFIT": "Take profit", +162 "STOP_ORDER_TYPE_STOP_LOSS": "Stop loss", +163 "STOP_ORDER_TYPE_STOP_LIMIT": "Stop limit", +164} +165"""Stop-order type enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stopordertype""" +166 +167TKS_ORDER_STATES = { +168 "EXECUTION_REPORT_STATUS_UNSPECIFIED": "! Unknown", +169 "EXECUTION_REPORT_STATUS_FILL": "Performed", +170 "EXECUTION_REPORT_STATUS_REJECTED": "Rejected", +171 "EXECUTION_REPORT_STATUS_CANCELLED": "Cancelled", +172 "EXECUTION_REPORT_STATUS_NEW": "New order", +173 "EXECUTION_REPORT_STATUS_PARTIALLYFILL": "Partially filled", +174} +175"""Order status enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/orders/#orderexecutionreportstatus""" +176 +177TKS_STOP_ORDER_EXPIRATION_TYPES = { +178 "STOP_ORDER_EXPIRATION_TYPE_UNSPECIFIED": "Undefined", +179 "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_CANCEL": "Until cancel", +180 "STOP_ORDER_EXPIRATION_TYPE_GOOD_TILL_DATE": "Until date", +181} +182"""Expiration type of stop-orders enums in Tinkoff Broker OpenAPI: https://tinkoff.github.io/investAPI/stoporders/#stoporderexpirationtype"""+ + TKS_DATE_TIME_FORMAT = '%Y-%m-%dT%H:%M:%SZ' + + ++ + ++ + +Date and time string format used by Tinkoff Open API. Default:
+"%Y-%m-%dT%H:%M:%SZ".-
+ How many minutes in interval and maximum count of candles in one history block returns by Tinkoff API in one request. +
diff --git a/docs/tksbrokerapi/UniLogger.html b/docs/tksbrokerapi/UniLogger.html index 5ee720c..2612a06 100644 --- a/docs/tksbrokerapi/UniLogger.html +++ b/docs/tksbrokerapi/UniLogger.html @@ -75,124 +75,125 @@Candles interval for requesting history data with Tinkoff API. Current available keys are
"1min","5min","15min","hour","day". See more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles-
-1# -*- coding: utf-8 -*- - 2# - 3# Author: Timur Gilmullin - 4 - 5""" - 6This module init standard python logging system with some of pre-defined parameters, - 7e.g. debug level for log-file, info level for console, log-rotate and so on. - 8""" - 9 - 10# Copyright (c) 2022 Gilmillin Timur Mansurovich - 11# - 12# Licensed under the Apache License, Version 2.0 (the "License"); - 13# you may not use this file except in compliance with the License. - 14# You may obtain a copy of the License at - 15# - 16# http://www.apache.org/licenses/LICENSE-2.0 - 17# - 18# Unless required by applicable law or agreed to in writing, software - 19# distributed under the License is distributed on an "AS IS" BASIS, - 20# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - 21# See the License for the specific language governing permissions and - 22# limitations under the License. - 23 - 24 - 25import sys - 26import logging.handlers - 27 - 28 - 29# initialize Main Parent Logger: - 30UniLogger = logging.getLogger("UniLogger") - 31formatString = "%(filename)-20sL:%(lineno)-5d%(levelname)-8s[%(asctime)s] %(message)s" - 32formatter = logging.Formatter(formatString) - 33sys.stderr = sys.stdout - 34 - 35 - 36def SetLevel(vLevel="ERROR"): - 37 """ - 38 This procedure setting up UniLogger verbosity level. - 39 """ - 40 UniLogger.level = logging.NOTSET - 41 - 42 if isinstance(vLevel, str): - 43 if vLevel == "5" or vLevel.upper() == "CRITICAL": - 44 UniLogger.level = logging.CRITICAL - 45 - 46 elif vLevel == "4" or vLevel.upper() == "ERROR": - 47 UniLogger.level = logging.ERROR - 48 - 49 elif vLevel == "3" or vLevel.upper() == "WARNING": - 50 UniLogger.level = logging.WARNING - 51 - 52 elif vLevel == "2" or vLevel.upper() == "INFO": - 53 UniLogger.level = logging.INFO - 54 - 55 elif vLevel == "1" or vLevel.upper() == "DEBUG": - 56 UniLogger.level = logging.DEBUG - 57 - 58 - 59class LevelFilter(logging.Filter): - 60 """ - 61 Class using to set up log level filtering. - 62 """ - 63 - 64 def __init__(self, level): - 65 super().__init__() - 66 self.level = level - 67 - 68 def filter(self, record): - 69 return record.levelno >= self.level - 70 - 71 - 72def EnableLogger(logFile, parentHandler=UniLogger, useFormat=formatter): - 73 """ - 74 Adding new file logger with rotation. - 75 """ - 76 maxSizeBytes = 5 * 1024 * 1024 # 5Mb log rotate by default - 77 logHandler = logging.handlers.RotatingFileHandler(logFile, encoding="UTF-8", maxBytes=maxSizeBytes, backupCount=4) - 78 logHandler.level = logging.DEBUG # set up DEBUG verbosity level by default for file logging - 79 logHandler.addFilter(LevelFilter(logging.DEBUG)) - 80 - 81 if useFormat: - 82 logHandler.setFormatter(useFormat) - 83 - 84 else: - 85 logHandler.setFormatter(formatter) - 86 - 87 parentHandler.addHandler(logHandler) - 88 - 89 return logHandler - 90 - 91 - 92def DisableLogger(handler, parentHandler=UniLogger): - 93 """ - 94 Disable given file logger. - 95 """ - 96 if handler: - 97 handler.flush() - 98 handler.close() - 99 -100 if handler in parentHandler.handlers: -101 parentHandler.removeHandler(handler) -102 -103 -104# --- Main init: -105 -106SetLevel("DEBUG") # set up DEBUG verbosity level by default for UniLogger -107 -108streamHandler = logging.StreamHandler() # initialize STDOUT UniLogger -109streamHandler.setFormatter(formatter) # set formatter for STDOUT UniLogger -110streamHandler.level = logging.INFO # set up INFO verbosity level by default for STDOUT UniLogger -111UniLogger.addHandler(streamHandler) # adding STDOUT UniLogger handler to Parent UniLogger -112 -113fileLogHandler = EnableLogger(logFile="TKSBrokerAPI.log", parentHandler=UniLogger, useFormat=formatter) # add logging to file -114 -115sepWide = "-" * 120 # long-long log separator -116sepLong = "-" * 80 # long log separator -117sepShort = "-" * 40 # short log separator -118sepLine = "=--=" * 20 # log part separator +@@ -208,27 +209,27 @@1# -*- coding: utf-8 -*- + 2# + 3# Author: Timur Gilmullin + 4 + 5""" + 6This module init standard python logging system with some of pre-defined parameters, + 7e.g. debug level for log-file, info level for console, log-rotate and so on. + 8""" + 9 + 10# Copyright (c) 2022 Gilmillin Timur Mansurovich + 11# + 12# Licensed under the Apache License, Version 2.0 (the "License"); + 13# you may not use this file except in compliance with the License. + 14# You may obtain a copy of the License at + 15# + 16# http://www.apache.org/licenses/LICENSE-2.0 + 17# + 18# Unless required by applicable law or agreed to in writing, software + 19# distributed under the License is distributed on an "AS IS" BASIS, + 20# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + 21# See the License for the specific language governing permissions and + 22# limitations under the License. + 23 + 24 + 25import sys + 26import logging.handlers + 27 + 28 + 29# initialize Main Parent Logger: + 30UniLogger = logging.getLogger("UniLogger") + 31formatString = "%(filename)-20sL:%(lineno)-5d%(levelname)-8s[%(asctime)s] %(message)s" + 32formatter = logging.Formatter(formatString) + 33sys.stderr = sys.stdout + 34 + 35 + 36def SetLevel(vLevel="ERROR"): + 37 """ + 38 This procedure setting up UniLogger verbosity level. + 39 """ + 40 UniLogger.level = logging.NOTSET + 41 + 42 if isinstance(vLevel, str): + 43 if vLevel == "5" or vLevel.upper() == "CRITICAL": + 44 UniLogger.level = logging.CRITICAL + 45 + 46 elif vLevel == "4" or vLevel.upper() == "ERROR": + 47 UniLogger.level = logging.ERROR + 48 + 49 elif vLevel == "3" or vLevel.upper() == "WARNING": + 50 UniLogger.level = logging.WARNING + 51 + 52 elif vLevel == "2" or vLevel.upper() == "INFO": + 53 UniLogger.level = logging.INFO + 54 + 55 elif vLevel == "1" or vLevel.upper() == "DEBUG": + 56 UniLogger.level = logging.DEBUG + 57 + 58 + 59class LevelFilter(logging.Filter): + 60 """ + 61 Class using to set up log level filtering. + 62 """ + 63 + 64 def __init__(self, level): + 65 super().__init__() + 66 self.level = level + 67 + 68 def filter(self, record): + 69 return record.levelno >= self.level + 70 + 71 + 72def EnableLogger(logFile, parentHandler=UniLogger, useFormat=formatter): + 73 """ + 74 Adding new file logger with rotation. + 75 """ + 76 maxSizeBytes = 5 * 1024 * 1024 # 5Mb log rotate by default + 77 logHandler = logging.handlers.RotatingFileHandler(logFile, encoding="UTF-8", maxBytes=maxSizeBytes, backupCount=4) + 78 logHandler.level = logging.DEBUG # set up DEBUG verbosity level by default for file logging + 79 logHandler.addFilter(LevelFilter(logging.DEBUG)) + 80 + 81 if useFormat: + 82 logHandler.setFormatter(useFormat) + 83 + 84 else: + 85 logHandler.setFormatter(formatter) + 86 + 87 parentHandler.addHandler(logHandler) + 88 + 89 return logHandler + 90 + 91 + 92def DisableLogger(handler, parentHandler=UniLogger): + 93 """ + 94 Disable given file logger. + 95 """ + 96 if handler: + 97 handler.flush() + 98 handler.close() + 99 +100 if handler in parentHandler.handlers: +101 parentHandler.removeHandler(handler) +102 +103 +104# --- Main init: +105 +106SetLevel("DEBUG") # set up DEBUG verbosity level by default for UniLogger +107 +108streamHandler = logging.StreamHandler() # initialize STDOUT UniLogger +109streamHandler.setFormatter(formatter) # set formatter for STDOUT UniLogger +110streamHandler.level = logging.INFO # set up INFO verbosity level by default for STDOUT UniLogger +111UniLogger.addHandler(streamHandler) # adding STDOUT UniLogger handler to Parent UniLogger +112 +113defaultLogFile = "TKSBrokerAPI.log" +114fileLogHandler = EnableLogger(logFile=defaultLogFile, parentHandler=UniLogger, useFormat=formatter) # add logging to file +115 +116sepWide = "-" * 120 # long-long log separator +117sepLong = "-" * 80 # long log separator +118sepShort = "-" * 40 # short log separator +119sepLine = "=--=" * 20 # log part separator
-37def SetLevel(vLevel="ERROR"): -38 """ -39 This procedure setting up UniLogger verbosity level. -40 """ -41 UniLogger.level = logging.NOTSET -42 -43 if isinstance(vLevel, str): -44 if vLevel == "5" or vLevel.upper() == "CRITICAL": -45 UniLogger.level = logging.CRITICAL -46 -47 elif vLevel == "4" or vLevel.upper() == "ERROR": -48 UniLogger.level = logging.ERROR -49 -50 elif vLevel == "3" or vLevel.upper() == "WARNING": -51 UniLogger.level = logging.WARNING -52 -53 elif vLevel == "2" or vLevel.upper() == "INFO": -54 UniLogger.level = logging.INFO -55 -56 elif vLevel == "1" or vLevel.upper() == "DEBUG": -57 UniLogger.level = logging.DEBUG +@@ -248,17 +249,17 @@37def SetLevel(vLevel="ERROR"): +38 """ +39 This procedure setting up UniLogger verbosity level. +40 """ +41 UniLogger.level = logging.NOTSET +42 +43 if isinstance(vLevel, str): +44 if vLevel == "5" or vLevel.upper() == "CRITICAL": +45 UniLogger.level = logging.CRITICAL +46 +47 elif vLevel == "4" or vLevel.upper() == "ERROR": +48 UniLogger.level = logging.ERROR +49 +50 elif vLevel == "3" or vLevel.upper() == "WARNING": +51 UniLogger.level = logging.WARNING +52 +53 elif vLevel == "2" or vLevel.upper() == "INFO": +54 UniLogger.level = logging.INFO +55 +56 elif vLevel == "1" or vLevel.upper() == "DEBUG": +57 UniLogger.level = logging.DEBUG
- -60class LevelFilter(logging.Filter): -61 """ -62 Class using to set up log level filtering. -63 """ -64 -65 def __init__(self, level): -66 super().__init__() -67 self.level = level -68 -69 def filter(self, record): -70 return record.levelno >= self.level +@@ -276,9 +277,9 @@60class LevelFilter(logging.Filter): +61 """ +62 Class using to set up log level filtering. +63 """ +64 +65 def __init__(self, level): +66 super().__init__() +67 self.level = level +68 +69 def filter(self, record): +70 return record.levelno >= self.level
-69 def filter(self, record): -70 return record.levelno >= self.level +@@ -327,24 +328,24 @@Determine if the specified record is to be logged.
-Is the specified record to be logged? Returns 0 for no, nonzero for -yes. If deemed appropriate, the record may be modified in-place.
+Returns True if the record should be logged, or False otherwise. +If deemed appropriate, the record may be modified in-place.
-73def EnableLogger(logFile, parentHandler=UniLogger, useFormat=formatter): -74 """ -75 Adding new file logger with rotation. -76 """ -77 maxSizeBytes = 5 * 1024 * 1024 # 5Mb log rotate by default -78 logHandler = logging.handlers.RotatingFileHandler(logFile, encoding="UTF-8", maxBytes=maxSizeBytes, backupCount=4) -79 logHandler.level = logging.DEBUG # set up DEBUG verbosity level by default for file logging -80 logHandler.addFilter(LevelFilter(logging.DEBUG)) -81 -82 if useFormat: -83 logHandler.setFormatter(useFormat) -84 -85 else: -86 logHandler.setFormatter(formatter) -87 -88 parentHandler.addHandler(logHandler) -89 -90 return logHandler +@@ -364,16 +365,16 @@73def EnableLogger(logFile, parentHandler=UniLogger, useFormat=formatter): +74 """ +75 Adding new file logger with rotation. +76 """ +77 maxSizeBytes = 5 * 1024 * 1024 # 5Mb log rotate by default +78 logHandler = logging.handlers.RotatingFileHandler(logFile, encoding="UTF-8", maxBytes=maxSizeBytes, backupCount=4) +79 logHandler.level = logging.DEBUG # set up DEBUG verbosity level by default for file logging +80 logHandler.addFilter(LevelFilter(logging.DEBUG)) +81 +82 if useFormat: +83 logHandler.setFormatter(useFormat) +84 +85 else: +86 logHandler.setFormatter(formatter) +87 +88 parentHandler.addHandler(logHandler) +89 +90 return logHandler
93def DisableLogger(handler, parentHandler=UniLogger): - 94 """ - 95 Disable given file logger. - 96 """ - 97 if handler: - 98 handler.flush() - 99 handler.close() -100 -101 if handler in parentHandler.handlers: -102 parentHandler.removeHandler(handler) +diff --git a/docs/tksbrokerapi/__main__.html b/docs/tksbrokerapi/__main__.html index 4883483..fd82fbc 100644 --- a/docs/tksbrokerapi/__main__.html +++ b/docs/tksbrokerapi/__main__.html @@ -47,10 +47,10 @@93def DisableLogger(handler, parentHandler=UniLogger): + 94 """ + 95 Disable given file logger. + 96 """ + 97 if handler: + 98 handler.flush() + 99 handler.close() +100 +101 if handler in parentHandler.handlers: +102 parentHandler.removeHandler(handler)-
1from tksbrokerapi.TKSBrokerAPI import Main -2 -3if __name__ == "__main__": -4 Main() + diff --git a/setup.py b/setup.py index 3c3fec7..c9b03a5 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,7 @@ from setuptools import setup import os -__version__ = "1.2" +__version__ = "1.3" devStatus = "4 - Beta" diff --git a/tests/InstrumentsDump.json b/tests/InstrumentsDump.json index 5be5c93..b9f1868 100644 --- a/tests/InstrumentsDump.json +++ b/tests/InstrumentsDump.json @@ -8,7 +8,7 @@ "lot": 10000, "currency": "rub", "shortEnabledFlag": false, - "name": "Армянский драм", + "name": "\u0410\u0440\u043c\u044f\u043d\u0441\u043a\u0438\u0439 \u0434\u0440\u0430\u043c", "exchange": "FX", "nominal": { "currency": "amd", @@ -17,7 +17,7 @@ }, "countryOfRisk": "", "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -36,12 +36,12 @@ "type": "Currencies", "step": 0.0025 }, - "TRYRUB_TOM": { - "figi": "BBG0013J12N1", - "ticker": "TRYRUB_TOM", + "JPYRUB_TOM": { + "figi": "BBG0013HQ524", + "ticker": "JPYRUB_TOM", "classCode": "CETS", "isin": "", - "lot": 1000, + "lot": 100000, "currency": "rub", "klong": { "units": "2", @@ -68,141 +68,71 @@ "nano": 0 }, "shortEnabledFlag": false, - "name": "Турецкая лира", + "name": "\u0418\u0435\u043d\u0430", "exchange": "FX", "nominal": { - "currency": "try", - "units": "1", + "currency": "jpy", + "units": "100", "nano": 0 }, "countryOfRisk": "", "countryOfRiskName": "", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, - "buyAvailableFlag": true, + "buyAvailableFlag": false, "sellAvailableFlag": true, - "isoCurrencyName": "try", + "isoCurrencyName": "jpy", "minPriceIncrement": { "units": "0", "nano": 100000 }, "apiTradeAvailableFlag": true, - "uid": "8cf87094-7c0f-465e-87b6-52e742a32045", + "uid": "163ce2bf-37a1-42e0-b613-0e50a15f8933", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "f2214ddc-d326-4480-a7f8-7339d4fbcab6", + "positionUid": "7210f95c-4b6d-4387-b961-7a0862d5ece5", "forIisFlag": true, - "first1minCandleDate": "2018-12-04T09:40:00Z", + "first1minCandleDate": "2019-04-22T08:44:00Z", "first1dayCandleDate": "1993-07-09T00:00:00Z", "type": "Currencies", "step": 0.0001 }, - "GLDRUB_TOM": { - "figi": "BBG000VJ5YR4", - "ticker": "GLDRUB_TOM", - "classCode": "CETS", - "isin": "", - "lot": 1, - "currency": "rub", - "shortEnabledFlag": false, - "name": "Золото", - "exchange": "FX_MTL", - "nominal": { - "currency": "xau", - "units": "1", - "nano": 0 - }, - "countryOfRisk": "RU", - "countryOfRiskName": "Российская Федерация", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", - "otcFlag": false, - "buyAvailableFlag": true, - "sellAvailableFlag": true, - "isoCurrencyName": "xau", - "minPriceIncrement": { - "units": "0", - "nano": 10000000 - }, - "apiTradeAvailableFlag": false, - "uid": "258e2b93-54e8-4f2d-ba3d-a507c47e3ae2", - "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "cf4fde41-c553-415c-82a6-cd2cdffd5e27", - "forIisFlag": true, - "type": "Currencies", - "step": 0.01 - }, - "USDCHF_TOM": { - "figi": "BBG0013HPJ07", - "ticker": "USDCHF_TOM", - "classCode": "CETS", - "isin": "", - "lot": 1000, - "currency": "chf", - "shortEnabledFlag": false, - "name": "Швейцарский франк - Доллар США", - "exchange": "FX", - "nominal": { - "currency": "usd", - "units": "1", - "nano": 0 - }, - "countryOfRisk": "", - "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", - "otcFlag": false, - "buyAvailableFlag": true, - "sellAvailableFlag": true, - "isoCurrencyName": "usd", - "minPriceIncrement": { - "units": "0", - "nano": 10000 - }, - "apiTradeAvailableFlag": true, - "uid": "cf4716fb-70d6-4b87-b14d-62b6f70eaddd", - "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", - "forIisFlag": true, - "first1minCandleDate": "2018-12-03T09:44:00Z", - "first1dayCandleDate": "2018-12-03T07:00:00Z", - "type": "Currencies", - "step": 0.00001 - }, - "AEDRUB_TOM": { - "figi": "BBG0013HJ924", - "ticker": "AEDRUB_TOM", + "KZTRUB_TOM": { + "figi": "BBG0013HG026", + "ticker": "KZTRUB_TOM", "classCode": "CETS", "isin": "", - "lot": 1000, + "lot": 10000, "currency": "rub", "shortEnabledFlag": false, - "name": "Дирхам ОАЭ", + "name": "\u0422\u0435\u043d\u0433\u0435", "exchange": "FX", "nominal": { - "currency": "aed", - "units": "1", + "currency": "kzt", + "units": "100", "nano": 0 }, "countryOfRisk": "", "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, - "isoCurrencyName": "aed", + "isoCurrencyName": "kzt", "minPriceIncrement": { "units": "0", "nano": 2500000 }, - "apiTradeAvailableFlag": false, - "uid": "97a51505-1472-4ab6-af43-c7edfcba3a55", + "apiTradeAvailableFlag": true, + "uid": "c7c26356-7352-4c37-8316-b1d93b18e16e", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "031e77fa-e4c9-4640-b470-bf22a0a63e41", + "positionUid": "6a6c93fc-a954-475f-96ed-2d8128aaaf56", "forIisFlag": true, "type": "Currencies", "step": 0.0025 }, - "EUR_RUB__TOM": { - "figi": "BBG0013HJJ31", - "ticker": "EUR_RUB__TOM", + "CHFRUB_TOM": { + "figi": "BBG0013HQ5K4", + "ticker": "CHFRUB_TOM", "classCode": "CETS", "isin": "", "lot": 1000, @@ -216,26 +146,26 @@ "nano": 0 }, "dlong": { - "units": "0", - "nano": 999900000 + "units": "1", + "nano": 0 }, "dshort": { - "units": "0", - "nano": 999900000 + "units": "1", + "nano": 0 }, "dlongMin": { - "units": "0", - "nano": 990000000 + "units": "1", + "nano": 0 }, "dshortMin": { - "units": "0", - "nano": 414200000 + "units": "1", + "nano": 0 }, "shortEnabledFlag": false, - "name": "Евро", + "name": "\u0428\u0432\u0435\u0439\u0446\u0430\u0440\u0441\u043a\u0438\u0439 \u0444\u0440\u0430\u043d\u043a", "exchange": "FX", "nominal": { - "currency": "eur", + "currency": "chf", "units": "1", "nano": 0 }, @@ -245,33 +175,33 @@ "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, - "isoCurrencyName": "eur", + "isoCurrencyName": "chf", "minPriceIncrement": { "units": "0", "nano": 2500000 }, "apiTradeAvailableFlag": true, - "uid": "b1c06e5e-f5d4-4ff5-8cb3-dcacccd933da", + "uid": "b8ef7e05-97ef-4b78-aac3-cd16ee320168", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "2415fb51-2ebe-4669-8ea4-9ba09e765366", + "positionUid": "282725e9-69f5-4bc9-a300-f02ccedbafb2", "forIisFlag": true, - "first1minCandleDate": "2018-03-07T18:32:00Z", - "first1dayCandleDate": "2000-05-16T00:00:00Z", + "first1minCandleDate": "2018-03-08T00:16:00Z", + "first1dayCandleDate": "2000-01-03T00:00:00Z", "type": "Currencies", "step": 0.0025 }, - "SLVRUB_TOM": { - "figi": "BBGSLVRUBTOM", - "ticker": "SLVRUB_TOM", + "RUB000UTSTOM": { + "figi": "RUB000UTSTOM", + "ticker": "RUB000UTSTOM", "classCode": "CETS", "isin": "", - "lot": 100, + "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "Серебро", + "name": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0439 \u0440\u0443\u0431\u043b\u044c", "exchange": "FX", "nominal": { - "currency": "xag", + "currency": "rub", "units": "1", "nano": 0 }, @@ -281,32 +211,32 @@ "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, - "isoCurrencyName": "xag", + "isoCurrencyName": "rub", "minPriceIncrement": { "units": "0", - "nano": 10000000 + "nano": 2500000 }, "apiTradeAvailableFlag": false, - "uid": "72b7bafe-7fd3-4e2a-ad26-c2a5f62c768f", + "uid": "a92e2e25-a698-45cc-a781-167cf465257c", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "9a68d2b1-0967-4ec2-808c-fa9071fe654e", + "positionUid": "33e24a92-aab0-409c-88b8-f2d57415b920", "forIisFlag": true, "type": "Currencies", - "step": 0.01 + "step": 0.0025 }, - "EURUSD000TOM": { - "figi": "BBG0013HGRV5", - "ticker": "EURUSD000TOM", + "UZSRUB_TOM": { + "figi": "BBG0013HQ310", + "ticker": "UZSRUB_TOM", "classCode": "CETS", "isin": "", - "lot": 1000, - "currency": "usd", + "lot": 1000000, + "currency": "rub", "shortEnabledFlag": false, - "name": "Евро - Доллар США", + "name": "\u0423\u0437\u0431\u0435\u043a\u0441\u043a\u0438\u0439 \u0441\u0443\u043c", "exchange": "FX", "nominal": { - "currency": "eur", - "units": "1", + "currency": "uzs", + "units": "10000", "nano": 0 }, "countryOfRisk": "", @@ -315,24 +245,22 @@ "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, - "isoCurrencyName": "eur", + "isoCurrencyName": "uzs", "minPriceIncrement": { "units": "0", - "nano": 10000 + "nano": 2500000 }, "apiTradeAvailableFlag": false, - "uid": "e00c0ae1-b088-4cec-a13e-d64634b95d2d", + "uid": "606864c7-845d-4783-b1e1-06f354318948", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "2415fb51-2ebe-4669-8ea4-9ba09e765366", + "positionUid": "2e13c6e9-f8bf-42ef-9dde-bc5749c6012c", "forIisFlag": true, - "first1minCandleDate": "2018-03-07T18:33:00Z", - "first1dayCandleDate": "2018-03-07T07:00:00Z", "type": "Currencies", - "step": 0.00001 + "step": 0.0025 }, - "HKDRUB_TOM": { - "figi": "BBG0013HSW87", - "ticker": "HKDRUB_TOM", + "USD000UTSTOM": { + "figi": "BBG0013HGFT4", + "ticker": "USD000UTSTOM", "classCode": "CETS", "isin": "", "lot": 1000, @@ -347,58 +275,22 @@ }, "dlong": { "units": "0", - "nano": 991900000 + "nano": 499000000 }, "dshort": { - "units": "2", - "nano": 648100000 + "units": "0", + "nano": 499000000 }, "dlongMin": { "units": "0", - "nano": 910000000 + "nano": 292200000 }, "dshortMin": { "units": "0", - "nano": 910000000 - }, - "shortEnabledFlag": false, - "name": "Гонконгский доллар", - "exchange": "FX", - "nominal": { - "currency": "hkd", - "units": "1", - "nano": 0 - }, - "countryOfRisk": "", - "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", - "otcFlag": false, - "buyAvailableFlag": true, - "sellAvailableFlag": true, - "isoCurrencyName": "hkd", - "minPriceIncrement": { - "units": "0", - "nano": 100000 + "nano": 224300000 }, - "apiTradeAvailableFlag": true, - "uid": "c1bcc46b-32c1-47dc-93b4-1db269c103a4", - "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "de34b358-b063-4558-88ab-b573dff8841f", - "forIisFlag": true, - "first1minCandleDate": "2018-03-14T21:45:00Z", - "first1dayCandleDate": "1993-07-09T00:00:00Z", - "type": "Currencies", - "step": 0.0001 - }, - "USDCNY_TOM": { - "figi": "BBG0013HQ016", - "ticker": "USDCNY_TOM", - "classCode": "CETS", - "isin": "", - "lot": 1000, - "currency": "cny", - "shortEnabledFlag": false, - "name": "Юань - Доллар США", + "shortEnabledFlag": true, + "name": "\u0414\u043e\u043b\u043b\u0430\u0440 \u0421\u0428\u0410", "exchange": "FX", "nominal": { "currency": "usd", @@ -407,24 +299,24 @@ }, "countryOfRisk": "", "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "isoCurrencyName": "usd", "minPriceIncrement": { "units": "0", - "nano": 10000 + "nano": 2500000 }, - "apiTradeAvailableFlag": false, - "uid": "3f856b85-50a9-4b72-93ba-3c22e6e590a2", + "apiTradeAvailableFlag": true, + "uid": "a22a1263-8e1b-4546-a1aa-416463f104d3", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", "forIisFlag": true, - "first1minCandleDate": "2018-12-03T09:37:00Z", - "first1dayCandleDate": "2018-12-03T07:00:00Z", + "first1minCandleDate": "2018-03-07T16:16:00Z", + "first1dayCandleDate": "2000-05-16T00:00:00Z", "type": "Currencies", - "step": 0.00001 + "step": 0.0025 }, "CNYRUB_TOM": { "figi": "BBG0013HRTL0", @@ -458,7 +350,7 @@ "nano": 0 }, "shortEnabledFlag": false, - "name": "Юань", + "name": "\u042e\u0430\u043d\u044c", "exchange": "FX", "nominal": { "currency": "cny", @@ -467,14 +359,14 @@ }, "countryOfRisk": "", "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "isoCurrencyName": "cny", "minPriceIncrement": { "units": "0", - "nano": 100000 + "nano": 1000000 }, "apiTradeAvailableFlag": true, "uid": "4587ab1d-a9c9-4910-a0d6-86c7b9c42510", @@ -484,79 +376,45 @@ "first1minCandleDate": "2018-03-07T19:28:00Z", "first1dayCandleDate": "1993-07-09T00:00:00Z", "type": "Currencies", - "step": 0.0001 + "step": 0.001 }, - "RUB000UTSTOM": { - "figi": "RUB000UTSTOM", - "ticker": "RUB000UTSTOM", + "BYNRUB_TOM": { + "figi": "BBG00D87WQY7", + "ticker": "BYNRUB_TOM", "classCode": "CETS", "isin": "", - "lot": 1, + "lot": 1000, "currency": "rub", "shortEnabledFlag": false, - "name": "Российский рубль", + "name": "\u0411\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u0440\u0443\u0431\u043b\u044c", "exchange": "FX", "nominal": { - "currency": "rub", + "currency": "byn", "units": "1", "nano": 0 }, "countryOfRisk": "", "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", - "otcFlag": false, - "buyAvailableFlag": true, - "sellAvailableFlag": true, - "isoCurrencyName": "rub", - "minPriceIncrement": { - "units": "0", - "nano": 2500000 - }, - "apiTradeAvailableFlag": false, - "uid": "a92e2e25-a698-45cc-a781-167cf465257c", - "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "33e24a92-aab0-409c-88b8-f2d57415b920", - "forIisFlag": true, - "type": "Currencies", - "step": 0.0025 - }, - "UZSRUB_TOM": { - "figi": "BBG0013HQ310", - "ticker": "UZSRUB_TOM", - "classCode": "CETS", - "isin": "", - "lot": 1000000, - "currency": "rub", - "shortEnabledFlag": false, - 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"positionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", + "positionUid": "2415fb51-2ebe-4669-8ea4-9ba09e765366", "forIisFlag": true, - "first1minCandleDate": "2018-03-07T16:16:00Z", + "first1minCandleDate": "2018-03-07T18:32:00Z", "first1dayCandleDate": "2000-05-16T00:00:00Z", "type": "Currencies", "step": 0.0025 }, - "ZARRUB_TOM": { - "figi": "BBG0013HLF18", - "ticker": "ZARRUB_TOM", - "classCode": "CETS", - "isin": "", - "lot": 10000, - "currency": "rub", - "shortEnabledFlag": false, - "name": "Южноафриканский рэнд", - "exchange": "FX", - "nominal": { - "currency": "zar", - "units": "10", - "nano": 0 - }, - "countryOfRisk": "", - "countryOfRiskName": "", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", - "otcFlag": false, - "buyAvailableFlag": true, - "sellAvailableFlag": true, - "isoCurrencyName": "zar", - "minPriceIncrement": { - "units": "0", - "nano": 2500000 - }, - "apiTradeAvailableFlag": false, - "uid": "f4683f46-ec40-45af-993b-fe9184ab18c8", - "realExchange": "REAL_EXCHANGE_MOEX", - 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"isoCurrencyName": "jpy", + "isoCurrencyName": "gbp", "minPriceIncrement": { "units": "0", - "nano": 100000 + "nano": 2500000 }, "apiTradeAvailableFlag": true, - "uid": "163ce2bf-37a1-42e0-b613-0e50a15f8933", + "uid": "dfcccc14-b90d-476f-82e3-ce55c8093afc", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "7210f95c-4b6d-4387-b961-7a0862d5ece5", + "positionUid": "f1ecc477-ec8b-40e9-ab47-7706ac56a935", "forIisFlag": true, - "first1minCandleDate": "2019-04-22T08:44:00Z", - "first1dayCandleDate": "1993-07-09T00:00:00Z", + "first1minCandleDate": "2018-03-07T18:48:00Z", + "first1dayCandleDate": "1995-01-02T00:00:00Z", "type": "Currencies", - "step": 0.0001 + "step": 0.0025 }, - "CHFRUB_TOM": { - "figi": "BBG0013HQ5K4", - "ticker": "CHFRUB_TOM", + "HKDRUB_TOM": { + "figi": "BBG0013HSW87", + "ticker": "HKDRUB_TOM", "classCode": "CETS", "isin": "", "lot": 1000, @@ -726,53 +548,89 @@ "nano": 0 }, "dlong": { - "units": "1", - "nano": 0 + "units": "0", + "nano": 990000000 }, "dshort": { "units": "1", - 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"isin": "CH0102993182", + "isin": "US6658591044", "lot": 1, "currency": "usd", "klong": { @@ -9569,19 +9007,19 @@ "nano": 224700000 }, "shortEnabledFlag": false, - "name": "TE Connectivity", + "name": "Northern Trust", "exchange": "SPB", - "issueSize": "410374147", + "issueSize": "218411773", "countryOfRisk": "US", - "countryOfRiskName": "Соединенные Штаты Америки", - "sector": "it", + "countryOfRiskName": "\u0421\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u043d\u044b\u0435 \u0428\u0442\u0430\u0442\u044b \u0410\u043c\u0435\u0440\u0438\u043a\u0438", + "sector": "financial", "issueSizePlan": "0", "nominal": { - "currency": "chf", - "units": "0", - "nano": 570000000 + "currency": "usd", + "units": "1", + "nano": 666666000 }, - "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -9592,77 +9030,36 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - 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"shareType": "SHARE_TYPE_COMMON", + "shareType": "SHARE_TYPE_ADR", "minPriceIncrement": { "units": "0", - "nano": 500000000 + "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "d0b3723c-35f8-497c-97f7-345bbcfbf1e1", - "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "6cc12a2f-349a-4b60-aafc-f22338d333c6", + "uid": "d6bccc08-306e-45c7-9482-e315ec600cf1", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "bccfcaee-5c26-4787-9e8c-c6f6b9bc6bc7", "forIisFlag": true, - "first1minCandleDate": "2018-03-07T20:09:00Z", - "first1dayCandleDate": "2015-12-15T00:00:00Z", + "first1minCandleDate": "2020-01-10T13:15:00Z", + "first1dayCandleDate": "2020-01-10T07:00:00Z", "type": "Shares", - "step": 0.5 + "step": 0.01 }, - "PLTR": { - "figi": "BBG000N7QR55", - "ticker": "PLTR", + "ENPH": { + "figi": "BBG001R3MNY9", + "ticker": "ENPH", "classCode": "SPBXM", - "isin": "US69608A1088", + "isin": "US29355A1079", "lot": 1, "currency": "usd", "klong": { @@ -43153,32 +42178,32 @@ }, "dlong": { "units": "0", - 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"uid": "14a3daf0-d760-451c-994b-d2e59e531377", + "uid": "da59253b-2f58-44de-8f1c-258829c22084", "realExchange": "REAL_EXCHANGE_RTS", - "positionUid": "3be3f618-b1c9-46ea-807d-317a180e3ec1", + "positionUid": "abd2d8d0-e7dd-4355-bfc1-8b64b320c4c0", "forIisFlag": true, - "first1minCandleDate": "2021-11-10T12:46:00Z", - "first1dayCandleDate": "2021-11-10T07:00:00Z", + "first1minCandleDate": "2020-12-04T14:29:00Z", + "first1dayCandleDate": "2020-12-04T07:00:00Z", "type": "Shares", "step": 0.01 }, - "GPN": { - "figi": "BBG000CX0P89", - "ticker": "GPN", + "LVS": { + "figi": "BBG000JWD753", + "ticker": "LVS", "classCode": "SPBXM", - "isin": "US37940X1028", + "isin": "US5178341070", "lot": 1, "currency": "usd", "klong": { @@ -72672,17 +70037,18 @@ "nano": 224700000 }, "shortEnabledFlag": true, - "name": "Global Payments", - "exchange": "SPB", - "issueSize": "157603304", + "name": "Las Vegas Sands Corp", + "exchange": "SPB_MORNING", + "ipoDate": "2004-12-15T00:00:00Z", + "issueSize": "763989752", "countryOfRisk": "US", - 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"isin": "US2197981051", + "isin": "US79466L3024", "lot": 1, "currency": "usd", "klong": { @@ -88287,28 +86195,29 @@ }, "dlong": { "units": "0", - "nano": 555400000 + "nano": 500000000 }, "dshort": { "units": "0", - "nano": 725500000 + "nano": 500000000 }, "dlongMin": { "units": "0", - "nano": 333200000 + "nano": 292900000 }, "dshortMin": { "units": "0", - "nano": 313600000 + "nano": 224700000 }, - "shortEnabledFlag": false, - "name": "QuidelOrtho Corp", - "exchange": "SPB", - "issueSize": "66871000", + "shortEnabledFlag": true, + "name": "Salesforce", + "exchange": "SPB_MORNING", + "ipoDate": "2004-06-23T00:00:00Z", + "issueSize": "979000000", "countryOfRisk": "US", - "countryOfRiskName": "Соединенные Штаты Америки", - "sector": "health_care", - "issueSizePlan": "200000000", + "countryOfRiskName": "\u0421\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u043d\u044b\u0435 \u0428\u0442\u0430\u0442\u044b \u0410\u043c\u0435\u0440\u0438\u043a\u0438", + "sector": "it", + "issueSizePlan": "1600000000", "nominal": { "currency": "usd", "units": "0", @@ -88325,20 +86234,20 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "0c26e224-0871-4880-b4d9-c0ae1888a7ff", + "uid": "5eb9aa7d-4613-4cc2-9ead-828daf639f82", "realExchange": "REAL_EXCHANGE_RTS", - "positionUid": "501ddf98-7a51-42af-afd9-2a5ad19f7674", + "positionUid": "a306702e-537a-491f-9902-1f92241ac8c7", "forIisFlag": true, - "first1minCandleDate": "2019-06-11T13:30:00Z", - "first1dayCandleDate": "1991-03-05T00:00:00Z", + "first1minCandleDate": "2018-01-23T14:30:00Z", + "first1dayCandleDate": "2004-06-23T00:00:00Z", "type": "Shares", "step": 0.01 }, - "ISRG": { - "figi": "BBG000BJPDZ1", - "ticker": "ISRG", + "FCX": { + "figi": "BBG000BJDB15", + "ticker": "FCX", "classCode": "SPBXM", - "isin": "US46120E6023", + "isin": "US35671D8570", "lot": 1, "currency": "usd", "klong": { @@ -88351,75 +86260,75 @@ }, "dlong": { "units": "0", - "nano": 500000000 + "nano": 501600000 }, "dshort": { "units": "0", - "nano": 500000000 + "nano": 674400000 }, "dlongMin": { "units": "0", - "nano": 292900000 + "nano": 294000000 }, "dshortMin": { "units": "0", - "nano": 224700000 + "nano": 294000000 }, - 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"uid": "f3395efc-4712-45a6-97cb-54a65873d38e", + "uid": "23748ae1-58c9-4061-9ffb-1ac85559fddb", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "511dbcb3-cba5-4b4d-bcfb-0331e407f0a7", + "positionUid": "4cd06f60-7bbe-456a-b655-0b871057f138", "forIisFlag": true, + "first1minCandleDate": "2020-06-22T07:36:00Z", + "first1dayCandleDate": "2020-06-22T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A100NS9": { - "figi": "BBG012CQ0V68", - "ticker": "RU000A100NS9", + "RU000A1013Y3": { + "figi": "BBG00R05JT04", + "ticker": "RU000A1013Y3", "classCode": "TQCB", - "isin": "RU000A100NS9", + "isin": "RU000A1013Y3", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "РЕСО-Лизинг БО-П выпуск 5", + "name": "\u0427\u0435\u0440\u043a\u0438\u0437\u043e\u0432\u043e \u0432\u044b\u043f\u0443\u0441\u043a\u00a02", "exchange": "MOEX_PLUS", - "couponQuantityPerYear": 2, - "maturityDate": "2025-08-28T00:00:00Z", + "couponQuantityPerYear": 4, + "maturityDate": "2023-05-25T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - 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"tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -109985,10 +107306,12 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "afeed796-fe26-4cd3-aab1-77648b724689", + "uid": "c4306240-799f-46e4-8b98-61a0f6e2b811", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "cce9b3cb-93ee-41d9-9233-1cf15e81dd33", + "positionUid": "d1722efc-bcb4-46eb-83e6-8398b00e23de", "forIisFlag": true, + "first1minCandleDate": "2018-03-07T19:43:00Z", + "first1dayCandleDate": "2017-02-15T00:00:00Z", "type": "Bonds", "step": 0.01 }, @@ -110024,7 +107347,7 @@ "nano": 0 }, "shortEnabledFlag": false, - "name": "АФК Система выпуск 6", + "name": "\u0410\u0424\u041a \u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u0432\u044b\u043f\u0443\u0441\u043a 6", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 2, "maturityDate": "2027-03-26T00:00:00Z", @@ -110042,16 +107365,16 @@ }, "aciValue": { "currency": "rub", - 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"maturityDate": "2025-12-15T00:00:00Z", + "maturityDate": "2023-01-31T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - "stateRegDate": "2013-04-08T00:00:00Z", - "placementDate": "2020-12-15T00:00:00Z", + "stateRegDate": "2012-09-27T00:00:00Z", + "placementDate": "2013-02-12T00:00:00Z", "placementPrice": { "currency": "rub", "units": "1000", @@ -110311,16 +107645,16 @@ }, "aciValue": { "currency": "rub", - "units": "8", - "nano": 330000000 + "units": "7", + "nano": 810000000 }, "countryOfRisk": "RU", - "countryOfRiskName": "Российская Федерация", - "sector": "financial", - "issueKind": "non_documentary", - "issueSize": "2000000", - "issueSizePlan": "2000000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "energy", + "issueKind": "documentary", + "issueSize": "5000000", + "issueSizePlan": "5000000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -110332,32 +107666,34 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "2ef0d171-6241-412c-bd52-c2a3506c8470", + "uid": "6eb2ae75-7702-4dcb-9bee-da5a10fa0278", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "a3c5c422-fd81-4c59-b8e8-37f9f672dc38", + "positionUid": "acb36f9a-39d1-4a45-8b92-2faf015325dc", "forIisFlag": true, + "first1minCandleDate": "2018-03-12T16:35:00Z", + "first1dayCandleDate": "2013-02-12T00:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A1030D1": { - "figi": "BBG0105J8GV3", - "ticker": "RU000A1030D1", + "RU000A103KJ8": { + "figi": "TCS00A103KJ8", + "ticker": "RU000A103KJ8", "classCode": "TQCB", - "isin": "RU000A1030D1", + "isin": "RU000A103KJ8", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "Альфа-Банк 002Р выпуск 11", + "name": "\u0415\u0432\u0440\u043e\u043f\u043b\u0430\u043d 001\u0420-03", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 2, - "maturityDate": "2024-04-18T00:00:00Z", + "maturityDate": "2031-08-08T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - "stateRegDate": "2021-04-13T00:00:00Z", - 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"amortizationFlag": true, + "amortizationFlag": false, "minPriceIncrement": { "units": "0", "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "d00c90d6-8ef1-4e14-9926-25bfb32edf82", + "uid": "bf1a7d1e-2aa9-43af-8ed8-c4bdbe963e2b", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "c7a91308-7999-4e65-b5a3-f30b76bb893c", + "positionUid": "1b3fa7c3-0ddb-412d-9ce6-961b08f9cdaa", "forIisFlag": true, + "first1minCandleDate": "2018-03-07T23:01:00Z", + "first1dayCandleDate": "2018-02-21T00:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A103N19": { - "figi": "BBG012F27YT0", - "ticker": "RU000A103N19", - "classCode": "TQCB", - "isin": "RU000A103N19", + "RU000A101UD4": { + "figi": "BBG00VSYBL16", + "ticker": "RU000A101UD4", + "classCode": "TQIR", + "isin": "RU000A101UD4", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "АПРИ Флай Плэнинг БО-П5", + "name": "\u042d\u043b\u0435\u043a\u0442\u0440\u043e\u0449\u0438\u0442-\u0421\u0442\u0440\u043e\u0439\u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0432\u044b\u043f\u0443\u0441\u043a\u00a02", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 4, - "maturityDate": "2025-09-02T00:00:00Z", + "maturityDate": "2025-06-23T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - "stateRegDate": "2021-08-13T00:00:00Z", - "placementDate": "2021-09-07T00:00:00Z", + "stateRegDate": "2020-06-18T00:00:00Z", + "placementDate": "2020-06-29T00:00:00Z", "placementPrice": { "currency": "rub", "units": "1000", @@ -112278,53 +109600,55 @@ }, "aciValue": { "currency": "rub", - "units": "15", - "nano": 670000000 + "units": "26", + "nano": 0 }, "countryOfRisk": "RU", - "countryOfRiskName": "Российская Федерация", - "sector": "real_estate", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "consumer", "issueKind": "non_documentary", "issueSize": "500000", "issueSizePlan": "500000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "floatingCouponFlag": false, "perpetualFlag": false, - 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"uid": "34cab95f-2b93-41a4-8233-21769ff58c9a", + "uid": "a6932f3d-36b3-45e0-a4e5-b6835a5c4126", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "9f3f752f-a75a-4852-b8e0-2b28945bb285", + "positionUid": "47edb944-d8e7-4563-9511-ff2939c336c9", "forIisFlag": true, + "first1minCandleDate": "2021-02-26T11:21:00Z", + "first1dayCandleDate": "2021-02-26T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A103WQ8": { - "figi": "TCS00A103WQ8", - "ticker": "RU000A103WQ8", + "RU000A101R33": { + "figi": "BBG00V92S1V0", + "ticker": "RU000A101R33", "classCode": "TQCB", - "isin": "RU000A103WQ8", + "isin": "RU000A101R33", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "Сэтл Групп выпуск 4", + "name": "\u041b\u0435\u043d\u0442\u0430 \u0411\u041e-001P \u0432\u044b\u043f\u0443\u0441\u043a 4", "exchange": "MOEX_PLUS", - "couponQuantityPerYear": 4, - "maturityDate": "2025-04-18T00:00:00Z", + "couponQuantityPerYear": 2, + "maturityDate": "2023-05-31T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - 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"uid": "f1a7d702-9c39-4d89-a462-3e0d7eba580a", + "uid": "2ef0d171-6241-412c-bd52-c2a3506c8470", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "708846f7-a57d-4815-b642-9ca3f60f09b3", + "positionUid": "a3c5c422-fd81-4c59-b8e8-37f9f672dc38", "forIisFlag": true, + "first1minCandleDate": "2020-12-15T11:51:00Z", + "first1dayCandleDate": "2020-12-15T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A104C60": { - "figi": "BBG01496DQ23", - "ticker": "RU000A104C60", + "RU000A102GY7": { + "figi": "TCS00A102GY7", + "ticker": "RU000A102GY7", "classCode": "TQCB", - "isin": "RU000A104C60", + "isin": "RU000A102GY7", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "ВТБ", - "exchange": "MOEX", + "name": "\u0425\u044d\u0434\u0445\u0430\u043d\u0442\u0435\u0440 \u0432\u044b\u043f\u0443\u0441\u043a 1", + "exchange": "MOEX_PLUS", "couponQuantityPerYear": 4, - "maturityDate": "2022-12-26T00:00:00Z", + "maturityDate": "2023-12-11T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - 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"nano": 1000000 + "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "4a2018da-7e84-4c2f-b95d-1fd8f3d630e3", + "uid": "4186f882-f062-44a3-b801-2d90849ada2d", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "c9aeb3f3-1213-4e69-a778-b8796e6a2f8a", + "positionUid": "e19e5be0-ad99-4f27-bc5e-0744f9c73215", "forIisFlag": true, + "first1minCandleDate": "2018-03-07T20:42:00Z", + "first1dayCandleDate": "2018-03-02T00:00:00Z", "type": "Bonds", - "step": 0.001 + "step": 0.01 }, - "RU000A102RN7": { - "figi": "TCS00A102RN7", - "ticker": "RU000A102RN7", + "RU000A103DP0": { + "figi": "BBG011R5YX14", + "ticker": "RU000A103DP0", "classCode": "TQCB", - "isin": "RU000A102RN7", + "isin": "RU000A103DP0", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "Ренессанс Кредит выпуск 6", + "name": "\u041a\u0410\u041c\u0410\u0417 \u0411\u041e-\u041f08", "exchange": "MOEX_PLUS", - "couponQuantityPerYear": 2, - "maturityDate": "2026-02-17T00:00:00Z", + "couponQuantityPerYear": 4, + "maturityDate": "2023-07-10T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - 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"uid": "2207d45c-911a-417f-9266-ff20cf466dee", + "uid": "39023959-7dfc-448a-878f-3df79d0b125c", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "41f7a84d-ccad-4496-bb4b-962cfb6a9392", + "positionUid": "237651ac-ed9b-4db4-80cc-3f008558b9df", "forIisFlag": true, + "first1minCandleDate": "2021-07-12T11:29:00Z", + "first1dayCandleDate": "2021-07-12T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A101XS6": { - "figi": "BBG00WFCV2B5", - "ticker": "RU000A101XS6", + "RU000A102VL3": { + "figi": "TCS00A102VL3", + "ticker": "RU000A102VL3", "classCode": "TQCB", - "isin": "RU000A101XS6", + "isin": "RU000A102VL3", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "МОЭК выпуск 4", + "name": "\u041c\u0422\u0421 \u0432\u044b\u043f\u0443\u0441\u043a 18", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 2, - "maturityDate": "2026-07-15T00:00:00Z", + "maturityDate": "2024-03-22T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - "stateRegDate": "2020-07-20T00:00:00Z", - 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"positionUid": "54e81bb9-635f-433c-96a4-23814bf417b9", + "positionUid": "43ed158b-1165-4fae-acd0-67f24eadb322", "forIisFlag": true, + "first1minCandleDate": "2021-03-29T07:17:00Z", + "first1dayCandleDate": "2021-03-29T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A103L03": { - "figi": "BBG0129FDB02", - "ticker": "RU000A103L03", + "RU000A103RL9": { + "figi": "BBG012SMKJQ3", + "ticker": "RU000A103RL9", "classCode": "TQCB", - "isin": "RU000A103L03", + "isin": "RU000A103RL9", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "ГК Самолет выпуск 10", + "name": "\u041f\u0435\u0442\u0440\u043e\u0438\u043d\u0436\u0438\u043d\u0438\u0440\u0438\u043d\u0433 \u0432\u044b\u043f\u0443\u0441\u043a 1", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 4, - "maturityDate": "2024-08-21T00:00:00Z", + "maturityDate": "2026-09-18T00:00:00Z", "nominal": { "currency": "rub", "units": "1000", "nano": 0 }, - "stateRegDate": "2021-08-12T00:00:00Z", - "placementDate": "2021-08-25T00:00:00Z", + "stateRegDate": "2021-09-16T00:00:00Z", + "placementDate": "2021-09-24T00:00:00Z", "placementPrice": { "currency": "rub", "units": "1000", @@ -116703,16 +114265,16 @@ }, "aciValue": { "currency": "rub", - 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"countryOfRiskName": "Российская Федерация", - "sector": "industrials", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "financial", "issueKind": "non_documentary", - "issueSize": "2000000", - "issueSizePlan": "2000000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "issueSize": "1900000", + "issueSizePlan": "1900000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -116778,32 +114342,89 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "87323b44-e987-4d91-91ad-1c10bfaf09e7", + "uid": "bbc41741-4dc4-4b0d-91a0-76c686cf7bca", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "55641cf2-7bb9-47f5-bc08-3ca68267d580", + "positionUid": "9b1bd0f1-3397-40c5-b1dd-1fb8c74a869d", "forIisFlag": true, + "first1minCandleDate": "2021-04-16T11:54:00Z", + "first1dayCandleDate": "2021-04-16T07:00:00Z", "type": "Bonds", "step": 0.01 }, - 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"amortizationFlag": true, + "amortizationFlag": false, "minPriceIncrement": { "units": "0", "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "c87cccff-83ff-45f2-87b7-9664d965685f", + "uid": "5ab2c172-c580-4b1e-bcfa-1cdb3a3e7a24", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "fa7c2460-5efb-438e-b0df-6948e8f91587", + "positionUid": "980a71ce-8156-4831-92f3-b2664ed0e389", "forIisFlag": true, + "first1minCandleDate": "2020-06-22T07:53:00Z", + "first1dayCandleDate": "2020-06-22T07:00:00Z", "type": "Bonds", "step": 0.01 }, @@ -116847,7 +114470,7 @@ "lot": 1, "currency": "rub", "shortEnabledFlag": false, - "name": "Пионер-Лизинг-БО-П02", + "name": "\u041f\u0438\u043e\u043d\u0435\u0440-\u041b\u0438\u0437\u0438\u043d\u0433-\u0411\u041e-\u041f02", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 12, "maturityDate": "2029-01-21T00:00:00Z", @@ -116865,16 +114488,16 @@ }, "aciValue": { "currency": "rub", - "units": "11", - "nano": 340000000 + "units": "5", + "nano": 80000000 }, "countryOfRisk": "RU", - "countryOfRiskName": "Российская Федерация", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", "sector": "financial", "issueKind": "documentary", "issueSize": "300000", "issueSizePlan": "300000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -116890,28 +114513,30 @@ "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "36cb527c-8a69-49eb-afd1-3a5309529702", "forIisFlag": true, + "first1minCandleDate": "2019-03-15T11:08:00Z", + "first1dayCandleDate": "2019-03-15T07:00:00Z", "type": "Bonds", "step": 0.01 }, - "RU000A104XR2": { - "figi": "TCS00A104XR2", - "ticker": "RU000A104XR2", + "RU000A1034M4": { + "figi": "BBG0116QGN40", + "ticker": "RU000A1034M4", "classCode": "TQCB", - "isin": "RU000A104XR2", + "isin": "RU000A1034M4", "lot": 1, "currency": "rub", "shortEnabledFlag": false, - 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"countryOfRiskName": "Российская Федерация", - "sector": "government", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "consumer", "issueKind": "documentary", - "issueSize": "350000000", - "issueSizePlan": "350000000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "issueSize": "10000000", + "issueSizePlan": "10000000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -117015,52 +114618,54 @@ "amortizationFlag": false, "minPriceIncrement": { "units": "0", - "nano": 1000000 + "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "42eba190-0282-4f84-8e6b-38aa924b9b3b", + "uid": "f42647fe-8acc-44a5-bdb3-3e6892240c8f", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "236d6bf8-e9b2-45fe-9b37-eeb231df9118", + "positionUid": "958f2ec8-088b-42a8-87ac-50801d18a975", "forIisFlag": true, + "first1minCandleDate": "2019-12-26T14:05:00Z", + "first1dayCandleDate": "2019-12-26T07:00:00Z", "type": "Bonds", - 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"countryOfRiskName": "Российская Федерация", - "sector": "real_estate", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "materials", "issueKind": "non_documentary", - "issueSize": "10400000", - "issueSizePlan": "10400000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "issueSize": "9000000", + "issueSizePlan": "9000000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -118230,32 +115900,34 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "600b9255-875f-45eb-87bf-14692591d799", + "uid": "cdb6188d-b5af-4514-8942-a6b1c977bc7f", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "e866753e-53ba-4fdd-97d3-bb77f06b32e7", + "positionUid": "ef649d2d-53fe-48f7-aa4b-d87b5cb5c361", "forIisFlag": true, + "first1minCandleDate": "2022-01-26T11:19:00Z", + "first1dayCandleDate": "2022-01-26T07:00:00Z", "type": "Bonds", "step": 0.01 }, - 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"countryOfRiskName": "Российская Федерация", - "sector": "financial", - "issueKind": "non_documentary", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "materials", + "issueKind": "documentary", "issueSize": "10000000", - "issueSizePlan": "10000000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "issueSizePlan": "15000000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -120116,32 +117839,34 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "bfdff023-6360-4161-9008-bb0165a81344", + "uid": "cf0e91dd-bca3-424f-a0ca-ace113ea546a", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "11d0568b-cc6f-43eb-b22b-0a42b0b064d4", + "positionUid": "b321a1bb-7443-4c72-9ce8-76183fa7e822", "forIisFlag": true, + "first1minCandleDate": "2019-04-09T12:40:00Z", + "first1dayCandleDate": "2019-04-09T07:00:00Z", "type": "Bonds", "step": 0.01 }, - 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"countryOfRiskName": "Российская Федерация", - "sector": "industrials", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "financial", "issueKind": "non_documentary", - "issueSize": "14000000", - "issueSizePlan": "14000000", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "issueSize": "5000000", + "issueSizePlan": "5000000", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -126180,32 +123956,58 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "c6fafbe2-bee9-419b-940e-b592fc2f0618", + "uid": "e9cbdbcf-5350-40f1-af08-ddbd1656fd46", "realExchange": "REAL_EXCHANGE_MOEX", - "positionUid": "66918b0b-7a97-44c1-8da8-65412bdd40fd", + "positionUid": "572ccf41-719d-4f2c-838a-b0d254e50e15", "forIisFlag": true, + "first1minCandleDate": "2020-12-21T11:27:00Z", + "first1dayCandleDate": "2020-12-21T07:00:00Z", "type": "Bonds", "step": 0.01 }, - 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"TYPE_SECURITY", - "basicAsset": "MOEX", + "basicAsset": "SIBN", "basicAssetSize": { - "units": "100", + "units": "10", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", - "sector": "SECTOR_FINANCIAL", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "SECTOR_ENERGY", "expirationDate": "2022-09-16T00:00:00Z", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -141015,19 +150339,19 @@ "nano": 0 }, "apiTradeAvailableFlag": true, - "uid": "0a317bce-3da1-4baa-a566-8cd34305cf46", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f9a6182-2e0b-4199-8261-4b05b197ae69", - "basicAssetPositionUid": "1b33fa68-cfc8-43e1-bd0e-2155d0199e7d", + "uid": "782fc74d-eee0-4092-adb5-bc1ce5f42487", + 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\u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "SECTOR_FINANCIAL", + "expirationDate": "2022-06-17T00:00:00Z", + "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, - "minPriceIncrement": { - "units": "1", - "nano": 0 - }, "apiTradeAvailableFlag": true, - "uid": "1fa1aa97-3803-4dde-9c04-0995a0400d38", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1fa1ab8f-f1fc-4169-a3a0-abb43ddc4194", - "basicAssetPositionUid": "0a0acc65-84db-4ffc-b359-faa00de99d41", + "uid": "1f99a230-7746-4600-9a27-f01873bceeb3", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f99a3ad-21d4-4086-af0b-3e66968465c2", + "basicAssetPositionUid": "561ec26b-608e-4c83-8c9d-ab5f3b03e235", "forIisFlag": true, - "first1minCandleDate": "2021-06-24T09:49:00Z", - "first1dayCandleDate": "2021-06-24T07:00:00Z", + "first1minCandleDate": "2021-12-03T15:08:00Z", + "first1dayCandleDate": "2021-12-03T07:00:00Z", "type": "Futures", - "step": 1.0 + "step": 0 }, "NGU2": { "figi": "FUTNG0922000", @@ -145524,7 +155034,7 @@ }, "dshort": { "units": "0", - "nano": 626600000 + "nano": 618700000 }, "dlongMin": { "units": "0", @@ -145532,11 +155042,11 @@ }, "dshortMin": { "units": "0", - "nano": 275400000 + "nano": 272300000 }, "shortEnabledFlag": true, - "name": "NG-9.22 Природный газ", - "exchange": "FORTS", + "name": "NG-9.22 \u041f\u0440\u0438\u0440\u043e\u0434\u043d\u044b\u0439 \u0433\u0430\u0437", + "exchange": "FORTS_EVENING", "firstTradeDate": "2022-04-12T20:59:59Z", "lastTradeDate": "2022-09-28T20:59:59Z", "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", @@ -145546,11 +155056,11 @@ "units": "100", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", "sector": "SECTOR_MATERIALS", "expirationDate": "2022-09-28T00:00:00Z", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -145560,7 +155070,7 @@ }, "apiTradeAvailableFlag": true, "uid": "0521976f-15f9-4ff0-9f13-1df52e8685d9", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", + "realExchange": "REAL_EXCHANGE_RTS", "positionUid": "1f9a7882-e654-4647-beae-6b96b35424e0", "basicAssetPositionUid": "", "forIisFlag": true, @@ -145569,9 +155079,9 @@ "type": "Futures", "step": 0.001 }, - "IRM2": { - "figi": "FUTIRAO06220", - "ticker": "IRM2", + "RTM2": { + "figi": "FUTRTKM06220", + "ticker": "RTM2", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -145585,54 +155095,54 @@ }, "dlong": { "units": "0", - "nano": 349500000 + "nano": 282200000 }, "dshort": { "units": "0", - "nano": 253400000 + "nano": 250000000 }, "dlongMin": { "units": "0", - "nano": 193500000 + "nano": 152700000 }, "dshortMin": { "units": "0", - "nano": 119600000 + "nano": 118000000 }, "shortEnabledFlag": true, - "name": "IRAO-6.22 Интер РАО ЕЭС", + "name": "RTKM-6.22 \u0420\u043e\u0441\u0442\u0435\u043b\u0435\u043a\u043e\u043c", "exchange": "FORTS", "firstTradeDate": "2021-12-02T20:59:59Z", "lastTradeDate": "2022-06-16T20:59:59Z", "futuresType": "DELIVERY_TYPE_PHYSICAL_DELIVERY", "assetType": "TYPE_SECURITY", - "basicAsset": "IRAO", + "basicAsset": "RTKM", "basicAssetSize": { - "units": "10000", + "units": "100", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", - "sector": "SECTOR_UTILITIES", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "SECTOR_TELECOM", "expirationDate": "2022-06-17T00:00:00Z", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "apiTradeAvailableFlag": true, 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"1f996386-1659-43ff-a2a9-ed1e4d08e3a4", + "uid": "1f99a1fb-683b-4b8d-94e3-72d8733588dd", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f99a10e-3675-4766-a0ef-f96f9a27cc27", "basicAssetPositionUid": "", "forIisFlag": true, - "first1minCandleDate": "2022-07-18T07:00:00Z", - "first1dayCandleDate": "2022-07-18T07:00:00Z", + "first1minCandleDate": "2022-02-08T07:07:00Z", + "first1dayCandleDate": "2022-02-08T07:00:00Z", "type": "Futures", "step": 0 }, - "EDM2": { - "figi": "FUTED0622000", - "ticker": "EDM2", + "SiU3": { + "figi": "FUTSI0923000", + "ticker": "SiU3", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -145772,54 +155278,58 @@ }, "dlong": { "units": "0", - "nano": 231200000 + "nano": 250000000 }, "dshort": { "units": "0", - "nano": 518500000 + "nano": 598200000 }, "dlongMin": { "units": "0", - "nano": 123200000 + "nano": 134000000 }, "dshortMin": { "units": "0", - "nano": 232300000 + "nano": 264200000 }, "shortEnabledFlag": true, - "name": "ED-6.22 Курс евро - доллар", - "exchange": "FORTS", - "firstTradeDate": "2021-09-03T20:59:59Z", - "lastTradeDate": "2022-06-16T20:59:59Z", + "name": "Si-9.23 \u041a\u0443\u0440\u0441 \u0434\u043e\u043b\u043b\u0430\u0440 - \u0440\u0443\u0431\u043b\u044c", + "exchange": "FORTS_EVENING", + "firstTradeDate": "2021-09-10T20:59:59Z", + "lastTradeDate": "2023-09-21T20:59:59Z", "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", "assetType": "TYPE_CURRENCY", - "basicAsset": "EUR/USD", + "basicAsset": "USD/RUB", "basicAssetSize": { "units": "1000", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", "sector": "", - "expirationDate": "2022-06-16T00:00:00Z", - "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", + "expirationDate": "2023-09-21T00:00:00Z", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, + "minPriceIncrement": { + "units": "1", + "nano": 0 + }, "apiTradeAvailableFlag": true, - "uid": "1f99a147-b137-4290-895e-dc5c11e52b42", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f99a06a-4705-4ba1-8a5a-289e2e973cf7", - "basicAssetPositionUid": "2415fb51-2ebe-4669-8ea4-9ba09e765366", + "uid": "1f9e6a2e-aff1-4e9c-8b22-17de45443e2b", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f9e6a30-d67d-4236-94d0-11ca110a24b5", + "basicAssetPositionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", "forIisFlag": true, - "first1minCandleDate": "2021-09-15T08:40:00Z", - "first1dayCandleDate": "2021-09-15T07:00:00Z", + "first1minCandleDate": "2021-09-13T14:33:00Z", + "first1dayCandleDate": "2021-09-13T07:00:00Z", "type": "Futures", - "step": 0 + "step": 1.0 }, - "HYU2": { - "figi": "FUTHYDR09220", - "ticker": "HYU2", + "VBM2": { + "figi": "FUTVTBR06220", + "ticker": "VBM2", "classCode": "SPBFUT", "lot": 1, 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"first1dayCandleDate": "2022-02-08T07:00:00Z", + "first1minCandleDate": "2022-06-30T07:22:00Z", + "first1dayCandleDate": "2022-06-30T07:00:00Z", "type": "Futures", "step": 1.0 }, - "PDM2": { - "figi": "FUTPLD062200", - "ticker": "PDM2", + "FVH2": { + "figi": "FUTFIVE03220", + "ticker": "FVH2", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -151698,54 +161234,54 @@ }, "dlong": { "units": "0", - "nano": 459600000 + "nano": 250000000 }, "dshort": { "units": "0", - "nano": 725500000 + "nano": 250000000 }, "dlongMin": { "units": "0", - "nano": 264900000 + "nano": 134000000 }, "dshortMin": { "units": "0", - "nano": 313600000 + "nano": 118000000 }, "shortEnabledFlag": true, - "name": "PLD-6.22 Палладий", + "name": "FIVE-3.22 X5 RetailGroup", "exchange": "FORTS", "firstTradeDate": "2021-09-03T20:59:59Z", - "lastTradeDate": "2022-06-16T20:59:59Z", - "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", - "assetType": "TYPE_COMMODITY", - "basicAsset": "Palladium", + "lastTradeDate": "2022-03-28T21:00:00Z", + "futuresType": "DELIVERY_TYPE_PHYSICAL_DELIVERY", + "assetType": "TYPE_SECURITY", + "basicAsset": "FIVE", "basicAssetSize": { - "units": "1", + "units": "10", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", - "sector": "SECTOR_MATERIALS", - "expirationDate": "2022-06-16T00:00:00Z", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "SECTOR_FINANCIAL", + "expirationDate": "2022-03-30T00:00:00Z", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "apiTradeAvailableFlag": true, - "uid": "1f99a096-0159-47d1-a154-601688c88eb6", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f99a0a5-2e35-497f-9e1e-312c56686970", - "basicAssetPositionUid": "", + "uid": "1f98e4e0-6c93-4794-b51d-579bab470485", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f98e588-c2a6-4408-8d34-041614767144", + "basicAssetPositionUid": "561ec26b-608e-4c83-8c9d-ab5f3b03e235", "forIisFlag": true, - "first1minCandleDate": "2021-09-14T12:46:00Z", - "first1dayCandleDate": "2021-09-14T07:00:00Z", + "first1minCandleDate": "2021-09-07T11:21:00Z", + "first1dayCandleDate": "2021-09-07T07:00:00Z", "type": "Futures", "step": 0 }, - "GKU2": { - "figi": "FUTGMKN09220", - "ticker": "GKU2", + "MXH3": { + "figi": "FUTMIX032300", + "ticker": "MXH3", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -151759,58 +161295,58 @@ }, "dlong": { "units": "0", - "nano": 250000000 + "nano": 279500000 }, "dshort": { "units": "0", - "nano": 264400000 + "nano": 308900000 }, "dlongMin": { "units": "0", - "nano": 134000000 + "nano": 151200000 }, "dshortMin": { "units": "0", - "nano": 124500000 + "nano": 144100000 }, "shortEnabledFlag": true, - "name": "GMKN-9.22 Норильский никель", - "exchange": "FORTS", - "firstTradeDate": "2022-02-03T20:59:59Z", - "lastTradeDate": "2022-09-15T20:59:59Z", - "futuresType": "DELIVERY_TYPE_PHYSICAL_DELIVERY", - "assetType": "TYPE_SECURITY", - "basicAsset": "GMKN", + "name": "MIX-3.23 \u0418\u043d\u0434\u0435\u043a\u0441 \u041c\u043e\u0441\u0411\u0438\u0440\u0436\u0438", + "exchange": "FORTS_EVENING", + "firstTradeDate": "2022-04-18T20:59:59Z", + "lastTradeDate": "2023-03-16T20:59:59Z", + "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", + "assetType": "TYPE_INDEX", + "basicAsset": "IMOEX", "basicAssetSize": { "units": "1", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", - "sector": "SECTOR_MATERIALS", - "expirationDate": "2022-09-16T00:00:00Z", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "SECTOR_FINANCIAL", + "expirationDate": "2023-03-16T00:00:00Z", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "minPriceIncrement": { - "units": "1", + "units": "25", "nano": 0 }, "apiTradeAvailableFlag": true, - "uid": "84a70c5c-340d-43ef-af24-09880a9151dc", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f9a60c8-2c3f-4432-ac74-e44641c7dc34", - "basicAssetPositionUid": "8dfc66ef-bd19-4cbc-91b6-22ab581d7dae", + "uid": "0aaafbeb-cadb-4e9e-9ac9-3117142bbbeb", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f9ce0a1-a67a-48cc-bf75-2b1755f52c60", + "basicAssetPositionUid": "", "forIisFlag": true, - "first1minCandleDate": "2022-02-25T20:37:00Z", - "first1dayCandleDate": "2022-02-25T07:00:00Z", + "first1minCandleDate": "2022-04-22T15:17:00Z", + "first1dayCandleDate": "2022-04-22T07:00:00Z", "type": "Futures", - "step": 1.0 + "step": 25.0 }, - "SVZ2": { - "figi": "FUTSILV12220", - "ticker": "SVZ2", + "BRM2": { + "figi": "FUTBR0622000", + "ticker": "BRM2", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -151824,37 +161360,37 @@ }, "dlong": { "units": "0", - "nano": 321200000 + "nano": 385400000 }, "dshort": { "units": "0", - "nano": 892700000 + "nano": 875000000 }, "dlongMin": { "units": "0", - "nano": 176100000 + "nano": 216000000 }, "dshortMin": { "units": "0", - "nano": 375800000 + "nano": 369300000 }, "shortEnabledFlag": true, - "name": "SILV-12.22 Серебро", + "name": "BR-6.22 \u041d\u0435\u0444\u0442\u044c Brent", "exchange": "FORTS", - "firstTradeDate": "2021-12-03T20:59:59Z", - "lastTradeDate": "2022-12-15T20:59:59Z", + "firstTradeDate": "2021-05-24T21:00:00Z", + "lastTradeDate": "2022-05-31T21:00:00Z", "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", "assetType": "TYPE_COMMODITY", - "basicAsset": "Silver", + "basicAsset": "Brent", "basicAssetSize": { "units": "10", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", "sector": "SECTOR_MATERIALS", - "expirationDate": "2022-12-15T00:00:00Z", - "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", + "expirationDate": "2022-06-01T00:00:00Z", + "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, @@ -151863,19 +161399,19 @@ "nano": 10000000 }, "apiTradeAvailableFlag": true, - "uid": "1f9b1e6e-1c9d-4a4b-b435-fae20ae90af9", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f9b1e15-a027-41ec-b026-29aab788db04", + "uid": "1f9983e6-1ae4-44c9-b65a-3b928988265c", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f99833c-50ec-432d-a24b-104156b1a99f", "basicAssetPositionUid": "", "forIisFlag": true, - "first1minCandleDate": "2021-12-06T15:31:00Z", - "first1dayCandleDate": "2021-12-06T07:00:00Z", + "first1minCandleDate": "2021-05-27T15:37:00Z", + "first1dayCandleDate": "2021-05-27T07:00:00Z", "type": "Futures", "step": 0.01 }, - "VBH2": { - "figi": "FUTVTBR03220", - "ticker": "VBH2", + "SiM2": { + "figi": "BBG00VHGV1J0", + "ticker": "SiM2", "classCode": "SPBFUT", "lot": 1, "currency": "rub", @@ -151889,50 +161425,115 @@ }, "dlong": { "units": "0", - "nano": 291500000 + "nano": 250000000 }, "dshort": { "units": "0", - "nano": 250000000 + "nano": 340500000 }, "dlongMin": { "units": "0", - "nano": 158300000 + "nano": 134000000 }, "dshortMin": { "units": "0", - "nano": 118000000 + "nano": 157800000 }, "shortEnabledFlag": true, - "name": "VTBR-3.22 ВТБ", + "name": "Si-6.22 \u041a\u0443\u0440\u0441 \u0434\u043e\u043b\u043b\u0430\u0440 - \u0440\u0443\u0431\u043b\u044c", "exchange": "FORTS", - "firstTradeDate": "2021-08-11T20:59:59Z", - "lastTradeDate": "2022-03-28T21:00:00Z", - "futuresType": "DELIVERY_TYPE_PHYSICAL_DELIVERY", - "assetType": "TYPE_SECURITY", - "basicAsset": "VTBR", + "firstTradeDate": "2020-06-15T13:51:10Z", + "lastTradeDate": "2022-06-16T13:51:10Z", + "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", + "assetType": "TYPE_CURRENCY", + "basicAsset": "USD/RUB", "basicAssetSize": { - "units": "100000", + "units": "1000", "nano": 0 }, - "countryOfRisk": "", - "countryOfRiskName": "", - "sector": "SECTOR_FINANCIAL", - "expirationDate": "2022-03-30T00:00:00Z", + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "", + "expirationDate": "2022-06-16T00:00:00Z", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": false, "buyAvailableFlag": true, "sellAvailableFlag": true, "apiTradeAvailableFlag": true, - "uid": "1f98e44e-f5de-4c49-a268-1b0a2bf6539c", - "realExchange": "REAL_EXCHANGE_UNSPECIFIED", - "positionUid": "1f98e5e9-a77d-43f6-b596-3aedad7a2ef9", - "basicAssetPositionUid": "626d2ab0-3359-4d2d-8366-daedd2a0d000", + "uid": "1f99a0f6-1190-46b9-be2a-e256be464526", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f99a06e-890a-49c3-a3fc-e9dab5a2c4d2", + "basicAssetPositionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", "forIisFlag": true, - "first1minCandleDate": "2021-08-13T20:01:00Z", - "first1dayCandleDate": "2021-08-13T07:00:00Z", + "first1minCandleDate": "2020-06-16T07:09:00Z", + "first1dayCandleDate": "2020-06-16T07:00:00Z", "type": "Futures", "step": 0 + }, + "GUU2": { + "figi": "FUTGBPU09220", + "ticker": "GUU2", + "classCode": "SPBFUT", + "lot": 1, + "currency": "rub", + "klong": { + "units": "2", + "nano": 0 + }, + "kshort": { + "units": "2", + "nano": 0 + }, + "dlong": { + "units": "0", + "nano": 249000000 + }, + "dshort": { + "units": "0", + "nano": 396800000 + }, + "dlongMin": { + "units": "0", + "nano": 133400000 + }, + "dshortMin": { + "units": "0", + "nano": 181900000 + }, + "shortEnabledFlag": false, + "name": "GBPU-9.22 \u041a\u0443\u0440\u0441 \u0424\u0443\u043d\u0442 \u0441\u0442\u0435\u0440\u043b\u0438\u043d\u0433\u043e\u0432 - \u0414\u043e\u043b\u043b\u0430\u0440", + "exchange": "FORTS", + "firstTradeDate": "2022-05-12T20:59:59Z", + "lastTradeDate": "2022-09-15T20:59:59Z", + "futuresType": "DELIVERY_TYPE_CASH_SETTLEMENT", + "assetType": "TYPE_CURRENCY", + "basicAsset": "GBP/USD", + "basicAssetSize": { + "units": "1000", + "nano": 0 + }, + "countryOfRisk": "RU", + "countryOfRiskName": "\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0430\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u0446\u0438\u044f", + "sector": "", + "expirationDate": "2022-09-15T00:00:00Z", + "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", + "otcFlag": false, + "buyAvailableFlag": true, + "sellAvailableFlag": true, + "minPriceIncrement": { + "units": "0", + "nano": 100000 + }, + "apiTradeAvailableFlag": true, + "uid": "d44a8464-ede1-4602-acdc-fa6d5a1d2016", + "realExchange": "REAL_EXCHANGE_RTS", + "positionUid": "1f9a5e9b-fa2c-4028-9541-dd83308d9f82", + "basicAssetPositionUid": "f1ecc477-ec8b-40e9-ab47-7706ac56a935", + "forIisFlag": true, + "first1minCandleDate": "2022-06-02T10:16:00Z", + "first1dayCandleDate": "2022-06-02T07:00:00Z", + "type": "Futures", + "step": 0.0001 } } } \ No newline at end of file diff --git a/tests/InstrumentsInfoDump.md b/tests/InstrumentsInfoDump.md index 7b1888d..a723b2a 100644 --- a/tests/InstrumentsInfoDump.md +++ b/tests/InstrumentsInfoDump.md @@ -1,2969 +1,3120 @@ # All available instruments from Tinkoff Broker server for current user token -* **Actual on date:** [2022-07-21 14:26] (UTC) -* **Currencies:** [19] -* **Shares:** [1870] -* **Bonds:** [652] -* **Etfs:** [105] -* **Futures:** [284] +* **Actual on date:** [2022-09-07 10:16 UTC] +* **Currencies:** [17] +* **Shares:** [1947] +* **Bonds:** [660] +* **Etfs:** [91] +* **Futures:** [366] -## Currencies available. Total: [19] +## Currencies available. Total: [17] -| Ticker | Full name | FIGI | Cur | Lot | Step -|--------------|----------------------------------------------------------------|--------------|-----|--------|--------- -| AMDRUB_TOM | Армянский драм | BBG0013J7V24 | rub | 10000 | 0.0025 -| TRYRUB_TOM | Турецкая лира | BBG0013J12N1 | rub | 1000 | 0.0001 -| GLDRUB_TOM | Золото | BBG000VJ5YR4 | rub | 1 | 0.01 -| USDCHF_TOM | Швейцарский франк - Доллар США | BBG0013HPJ07 | chf | 1000 | 1e-05 -| AEDRUB_TOM | Дирхам ОАЭ | BBG0013HJ924 | rub | 1000 | 0.0025 -| EUR_RUB__TOM | Евро | BBG0013HJJ31 | rub | 1000 | 0.0025 -| SLVRUB_TOM | Серебро | BBGSLVRUBTOM | rub | 100 | 0.01 -| EURUSD000TOM | Евро - Доллар США | BBG0013HGRV5 | usd | 1000 | 1e-05 -| HKDRUB_TOM | Гонконгский доллар | BBG0013HSW87 | rub | 1000 | 0.0001 -| USDCNY_TOM | Юань - Доллар США | BBG0013HQ016 | cny | 1000 | 1e-05 -| CNYRUB_TOM | Юань | BBG0013HRTL0 | rub | 1000 | 0.0001 -| RUB000UTSTOM | Российский рубль | RUB000UTSTOM | rub | 1 | 0.0025 -| UZSRUB_TOM | Узбекский сум | BBG0013HQ310 | rub | 1000000| 0.0025 -| USD000UTSTOM | Доллар США | BBG0013HGFT4 | rub | 1000 | 0.0025 -| ZARRUB_TOM | Южноафриканский рэнд | BBG0013HLF18 | rub | 10000 | 0.0025 -| JPYRUB_TOM | Иена | BBG0013HQ524 | rub | 100000 | 0.0001 -| CHFRUB_TOM | Швейцарский франк | BBG0013HQ5K4 | rub | 1000 | 0.0025 -| GBPRUB_TOM | Фунт стерлингов | BBG0013HQ5F0 | rub | 1000 | 0.0025 -| GBPUSD_TOM | Фунт стерлингов - Доллар США | BBG0013HFH84 | usd | 1000 | 1e-05 +| Ticker | Full name | FIGI | Cur | Lot | Step | +|--------------|-----------------------------------------------------------|--------------|-----|---------|------------| +| AMDRUB_TOM | Армянский драм | BBG0013J7V24 | rub | 10000 | 0.0025 | +| JPYRUB_TOM | Иена | BBG0013HQ524 | rub | 100000 | 0.0001 | +| KZTRUB_TOM | Тенге | BBG0013HG026 | rub | 10000 | 0.0025 | +| CHFRUB_TOM | Швейцарский франк | BBG0013HQ5K4 | rub | 1000 | 0.0025 | +| RUB000UTSTOM | Российский рубль | RUB000UTSTOM | rub | 1 | 0.0025 | +| UZSRUB_TOM | Узбекский сум | BBG0013HQ310 | rub | 1000000 | 0.0025 | +| USD000UTSTOM | Доллар США | BBG0013HGFT4 | rub | 1000 | 0.0025 | +| CNYRUB_TOM | Юань | BBG0013HRTL0 | rub | 1000 | 0.001 | +| BYNRUB_TOM | Белорусский рубль | BBG00D87WQY7 | rub | 1000 | 0.0025 | +| EUR_RUB__TOM | Евро | BBG0013HJJ31 | rub | 1000 | 0.0025 | +| GBPRUB_TOM | Фунт стерлингов | BBG0013HQ5F0 | rub | 1000 | 0.0025 | +| HKDRUB_TOM | Гонконгский доллар | BBG0013HSW87 | rub | 1000 | 0.0001 | +| GLDRUB_TOM | Золото | BBG000VJ5YR4 | rub | 1 | 0.01 | +| TRYRUB_TOM | Турецкая лира | BBG0013J12N1 | rub | 1000 | 0.0001 | +| ZARRUB_TOM | Южноафриканский рэнд | BBG0013HLF18 | rub | 10000 | 0.0025 | +| SLVRUB_TOM | Серебро | BBG000VHQTD1 | rub | 100 | 0.01 | +| AEDRUB_TOM | Дирхам ОАЭ | BBG0013HJ924 | rub | 1000 | 0.0025 | -## Shares available. Total: [1870] +## Shares available. Total: [1947] -| Ticker | Full name | FIGI | Cur | Lot | Step -|--------------|----------------------------------------------------------------|--------------|-----|--------|--------- -| IDCC | InterDigital | BBG000HLJ7M4 | usd | 1 | 0.01 -| RH | RH | BBG002293PJ4 | usd | 1 | 0.01 -| SGEN | Seagen Inc. | BBG000BH0FR6 | usd | 1 | 0.01 -| NAVI | Navient | BBG004MN1R41 | usd | 1 | 0.01 -| WGO | Winnebago Industries Inc | BBG000BWS3F3 | usd | 1 | 0.01 -| MDMG | Мать и дитя | BBG00Y3XYV94 | rub | 1 | 0.1 -| TWST | Twist Bioscience | BBG006KDCHJ4 | usd | 1 | 0.01 -| RHI | Robert Half | BBG000BS5DR2 | usd | 1 | 0.01 -| UNVR | Univar Solutions Inc | BBG000BDHD29 | usd | 1 | 0.01 -| FIXP | Fix Price Group | BBG00ZHCX1X2 | rub | 1 | 0.1 -| UI | Ubiquiti Inc | BBG001R72SR9 | usd | 1 | 0.01 -| CERN | Cerner | BBG000BFDLV8 | usd | 1 | 0.01 -| SHLS | Shoals Technologies Group, Inc. | BBG00YQ82275 | usd | 1 | 0.01 -| TMX | Terminix Global Holdings | BBG002WMH2F2 | usd | 1 | 0.01 -| DDD | 3D Systems Corp | BBG000D42FJ0 | usd | 1 | 0.01 -| KMT | Kennametal Inc | BBG000BMWKC5 | usd | 1 | 0.01 -| OKE | ONEOK | BBG000BQHGR6 | usd | 1 | 0.01 -| MCD | McDonald’s | BBG000BNSZP1 | usd | 1 | 0.01 -| BBSI | Barrett Business Services Inc | BBG000BHJSC4 | usd | 1 | 0.01 -| 1928 | Sands China | BBG000PSNMN1 | hkd | 100 | 0.01 -| MGPI | MGP Ingredients | BBG000BXK6C5 | usd | 1 | 0.01 -| JD | JD.com | BBG005YHY0Q7 | usd | 1 | 0.01 -| TCRR | TCR2 Therapeutics Inc | BBG00FH3FM15 | usd | 1 | 0.01 -| WTTR | Select Energy Services Inc | BBG00G4Y2DC1 | usd | 1 | 0.01 -| ZNH | China Southern Airlines | BBG000BXQ7R1 | usd | 1 | 0.01 -| ALGT | Allegiant Travel Co | BBG000LJS6B8 | usd | 1 | 0.01 -| IR | Ingersoll-Rand | BBG002R1CW27 | usd | 1 | 0.01 -| WHR | Whirlpool | BBG000BWSV34 | usd | 1 | 0.01 -| WMS | Advanced Drainage Systems | BBG000G7CDN9 | usd | 1 | 0.01 -| WH | Wyndham Hotels & Resorts | BBG00HCY3Q67 | usd | 1 | 0.01 -| PUM@DE | PUMA SE | BBG000BLMTR3 | eur | 1 | 0.01 -| MOEX | Московская Биржа | BBG004730JJ5 | rub | 10 | 0.01 -| MET | MetLife | BBG000BB6KF5 | usd | 1 | 0.01 -| AGIO | Agios Pharmaceuticals Inc | BBG000QY4ZD0 | usd | 1 | 0.01 -| OMCL | Omnicell Inc | BBG000BTNGZ4 | usd | 1 | 0.01 -| PFE | Pfizer | BBG000BR2B91 | usd | 1 | 0.01 -| WIRE | Encore Wire Corporation | BBG000CQCCK6 | usd | 1 | 0.01 -| STX | Seagate | BBG0113JGQF0 | usd | 1 | 0.01 -| ALTR | Altair Engineering Inc | BBG000PN9NB9 | usd | 1 | 0.01 -| DFS | Discover Financial Services | BBG000QBR5J5 | usd | 1 | 0.01 -| TTD | Trade Desk Inc/The | BBG00629NGT2 | usd | 1 | 0.01 -| THG | Hanover Insurance Group | BBG000FJH8W0 | usd | 1 | 0.01 -| FICO | Fair Isaac Corp | BBG000DW76Y6 | usd | 1 | 0.01 -| TRV | Travelers Cos | BBG000BJ81C1 | usd | 1 | 0.01 -| COO | The Cooper Companies | BBG000BG3445 | usd | 1 | 0.01 -| PLUS | ePlus Inc | BBG000HN7W02 | usd | 1 | 0.01 -| FANG | Diamondback Energy Inc | BBG002PHSYX9 | usd | 1 | 0.01 -| 2382 | Sunny Optical Technology | BBG000C16952 | hkd | 10 | 0.05 -| CME | CME GROUP | BBG000BHLYP4 | usd | 1 | 0.01 -| CHRW | C.H. Robinson Worldwide | BBG000BTCH57 | usd | 1 | 0.01 -| CROX | Crocs Inc | BBG000BLY663 | usd | 1 | 0.01 -| TRGP | Targa Resources | BBG0015XMW40 | usd | 1 | 0.01 -| IRBT | iRobot Corp | BBG000HXJB21 | usd | 1 | 0.01 -| MRKU | МРСК Урала | BBG000VKG4R5 | rub | 10000 | 0.0002 -| BLUE | Bluebird Bio Inc | BBG000QGWY50 | usd | 1 | 0.01 -| ALRM | Alarm com Holdings Inc | BBG007GNPYY7 | usd | 1 | 0.01 -| MRK | Merck | BBG000BPD168 | usd | 1 | 0.01 -| ED | Consolidated Edison | BBG000BHLYS1 | usd | 1 | 0.01 -| SAH | Sonic Automotive | BBG000BBMNG0 | usd | 1 | 0.01 -| MAS | Masco | BBG000BNNKG9 | usd | 1 | 0.01 -| KDP | Keurig Dr Pepper | BBG000TJM7F0 | usd | 1 | 0.01 -| WABC | Westamerica Bancorporation | BBG000DD3KP1 | usd | 1 | 0.01 -| NOW | ServiceNow Inc | BBG000M1R011 | usd | 1 | 0.01 -| BRC | Brady | BBG000BDNV95 | usd | 1 | 0.01 -| COIN | Coinbase | BBG00ZGF7771 | usd | 1 | 0.01 -| WAL | Western Alliance Bancorp | BBG000Q1KFH4 | usd | 1 | 0.01 -| WTFC | Wintrust Financial | BBG000HD3DW5 | usd | 1 | 0.01 -| GDDY | GoDaddy Inc | BBG006MDLY05 | usd | 1 | 0.01 -| COUR | Coursera, Inc. | BBG002WLDMW5 | usd | 1 | 0.01 -| LAD | LIthia Motors Inc | BBG000K3BC83 | usd | 1 | 0.01 -| MRKZ | Россети Северо-Запад | BBG000TJ6F42 | rub | 10000 | 5e-05 -| MUSA | Murphy USA Inc | BBG001Z0Q6T5 | usd | 1 | 0.01 -| BRK.B | Berkshire Hathaway | BBG000DWG505 | usd | 1 | 0.01 -| TGKB | ТГК-2 | BBG000Q7GG57 | rub | 1000000| 5e-06 -| PAYC | Paycom Software Inc | BBG0064N0ZZ5 | usd | 1 | 0.01 -| VZ | Verizon Communications | BBG000HS77T5 | usd | 1 | 0.01 -| FOE | Ferro Corp | BBG000BJQK11 | usd | 1 | 0.01 -| DY | Dycom Industries Inc | BBG000C4SKT1 | usd | 1 | 0.01 -| EVBG | Everbridge Inc | BBG0022FMPD5 | usd | 1 | 0.01 -| APLS | Apellis Pharmaceuticals | BBG007KGRPY4 | usd | 1 | 0.01 -| KZOS | ПАО «КАЗАНЬОРГСИНТЕЗ» | BBG0029SFXB3 | rub | 10 | 0.1 -| ANSS | ANSYS | BBG000GXZ4W7 | usd | 1 | 0.01 -| TTWO | Take-Two Interactive Software | BBG000BS1YV5 | usd | 1 | 0.01 -| JBSS | John B Sanfilippo & Son Inc | BBG000CHPMY5 | usd | 1 | 0.01 -| 1810 | Xiaomi | BBG00KVTBY91 | hkd | 100 | 0.01 -| CRTX | Cortexyme Inc | BBG00BTK1DT8 | usd | 1 | 0.01 -| VNDA | Vanda Pharmaceuticals Inc | BBG000HT5MG6 | usd | 1 | 0.01 -| WMT | Wal-Mart Stores | BBG000BWXBC2 | usd | 1 | 0.01 -| MELI | MercadoLibre Inc | BBG000GQPB11 | usd | 1 | 0.01 -| VNO | Vornado REIT | BBG000BWHD54 | usd | 1 | 0.01 -| CHNG | Change Healthcare Inc | BBG0059KNH10 | usd | 1 | 0.01 -| GATX | GATX Corporation | BBG000BKGXQ4 | usd | 1 | 0.01 -| JBHT | JB Hunt | BBG000BMDBZ1 | usd | 1 | 0.01 -| ASTR | Astra Space | BBG00W7FG4V8 | usd | 1 | 0.01 -| EOAN@DE | E.ON SE | BBG000BR7PK2 | eur | 1 | 0.01 -| INTU | Intuit | BBG000BH5DV1 | usd | 1 | 0.01 -| AFG | American Financial Group | BBG000DPKKK0 | usd | 1 | 0.01 -| PRTS | CarParts.com | BBG000N26V95 | usd | 1 | 0.01 -| APTV | Aptiv | BBG001QD41M9 | usd | 1 | 0.01 -| DNMR | Danimer Scientific | BBG00S4VMQT2 | usd | 1 | 0.01 -| FOCS | Focus Financial Partners Inc | BBG00L0YTFN8 | usd | 1 | 0.01 -| MLAB | Mesa Laboratories Inc | BBG000BP3PW7 | usd | 1 | 0.01 -| HSC | Harsco Corp | BBG000BLH3P8 | usd | 1 | 0.01 -| JOUT | Johnson Outdoors Inc | BBG000HCXFS4 | usd | 1 | 0.01 -| ROCK | Gibraltar Industries Inc | BBG000BKQDQ7 | usd | 1 | 0.01 -| ENTA | Enanta Pharmaceuticals Inc | BBG001V9NSB4 | usd | 1 | 0.01 -| GDOT | Green Dot Corp | BBG000QDJT53 | usd | 1 | 0.01 -| VRNT | Verint Systems Inc | BBG000BCBYT2 | usd | 1 | 0.01 -| LOW | Lowe's | BBG000BNDN65 | usd | 1 | 0.01 -| MTG | MGIC Investment Corp | BBG000CBMH27 | usd | 1 | 0.01 -| ICPT | Intercept Pharmaceuticals Inc | BBG001J1QN87 | usd | 1 | 0.01 -| IEX | IDEX Corp | BBG000C1HN22 | usd | 1 | 0.01 -| DUOL | Duolingo | BBG003D4V951 | usd | 1 | 0.01 -| INSP | Inspire Medical Systems Inc | BBG00209SZJ7 | usd | 1 | 0.01 -| TSLA | Tesla Motors | BBG000N9MNX3 | usd | 1 | 0.01 -| HE | Hawaiian Electric Industries, Inc. | BBG000BL0P40 | usd | 1 | 0.01 -| ON | ON Semiconductor Corp | BBG000DV7MX4 | usd | 1 | 0.01 -| MSTR | MicroStrategy Inc | BBG000GQJPZ0 | usd | 1 | 0.01 -| MBT | АДР МТС | BBG000CSZKR2 | usd | 1 | 0.01 -| CLX | The Clorox Company | BBG000BFS7D3 | usd | 1 | 0.01 -| USM | United States Cellular Corp | BBG000BW6P59 | usd | 1 | 0.01 -| DLB | Dolby Laboratories Inc | BBG000DGLTG5 | usd | 1 | 0.01 -| KNX | Knight-Swift Transportation | BBG000BFC848 | usd | 1 | 0.01 -| NU | Nubank | BBG0136WM1M4 | usd | 1 | 0.01 -| WDFC | WD-40 Co | BBG000BWNV93 | usd | 1 | 0.01 -| BXP | Boston Properties REIT | BBG000BS5CM9 | usd | 1 | 0.01 -| CSGP | CoStar Group Inc | BBG000D7JKW9 | usd | 1 | 0.01 -| NEWR | New Relic Inc | BBG001NFKJ68 | usd | 1 | 0.01 -| PD | Pagerduty Inc | BBG0043BYPB8 | usd | 1 | 0.01 -| GSHD | Goosehead Insurance, Inc. | BBG00KHHBMC5 | usd | 1 | 0.01 -| DISH | DISH Network Corp | BBG000C2YHG9 | usd | 1 | 0.01 -| BLMN | Bloomin Brands, Inc. | BBG002VZ68Y2 | usd | 1 | 0.01 -| TCS | TCS Group (Tinkoff Bank holder) | BBG005DXJS36 | usd | 1 | 0.01 -| IVZ | Invesco | BBG000BY2Y78 | usd | 1 | 0.01 -| EW | Edwards Lifesciences | BBG000BRXP69 | usd | 1 | 0.01 -| PNFP | Pinnacle Financial Partners In | BBG000C1XKF6 | usd | 1 | 0.01 -| NYT | New York Times | BBG000FFC0B3 | usd | 1 | 0.01 -| CVET | Covetrus Inc | BBG00KR691K8 | usd | 1 | 0.01 -| YNDX | Yandex | BBG006L8G4H1 | rub | 1 | 0.2 -| BLNK | Blink Charging Co | BBG000F9XKN7 | usd | 1 | 0.01 -| TNET | TriNet Group Inc | BBG000BR2040 | usd | 1 | 0.01 -| PBH | Prestige Consumer Healthcare I | BBG000QM0RZ4 | usd | 1 | 0.01 -| BRX | Brixmor Property Group REIT | BBG001LFLZZ1 | usd | 1 | 0.01 -| BURL | Burlington Stores Inc | BBG004S641N5 | usd | 1 | 0.01 -| LNT | Alliant Energy | BBG000DW4Q75 | usd | 1 | 0.01 -| SSD | Simpson Manufacturing Co Inc | BBG000JLC8L8 | usd | 1 | 0.01 -| APA | APA Corporation | BBG00YTS96G2 | usd | 1 | 0.01 -| ES | Eversource Energy | BBG000BQ87N0 | usd | 1 | 0.01 -| CHE | Chemed Corp | BBG000C19QW1 | usd | 1 | 0.01 -| NTRS | Northern Trust | BBG000BQ74K1 | usd | 1 | 0.01 -| DECK | Deckers Outdoor Corp | BBG000BKXYX5 | usd | 1 | 0.01 -| ASH | Ashland Global Holdings Inc | BBG00D0Y81M1 | usd | 1 | 0.01 -| DPZ | Domino's Pizza Inc | BBG000P458P3 | usd | 1 | 0.01 -| MPWR | Monolithic Power Systems | BBG000C30L48 | usd | 1 | 0.01 -| VTBR | Банк ВТБ | BBG004730ZJ9 | rub | 10000 | 5e-06 -| KTB | Kontoor Brands Inc | BBG00LPTHYD5 | usd | 1 | 0.01 -| CABO | Cable One | BBG000F02T51 | usd | 1 | 0.01 -| BJ | BJs Wholesale Club Holdings, Inc. | BBG00FQ8T4G3 | usd | 1 | 0.01 -| SKX | Skechers U.S.A. Inc | BBG000C4HKK2 | usd | 1 | 0.01 -| ZM | Zoom Video Communications Inc | BBG0042V6JM8 | usd | 1 | 0.01 -| GOLD | Barrick Gold | BBG000BB07P9 | usd | 1 | 0.01 -| MORN | Morningstar | BBG000CGQ4F7 | usd | 1 | 0.01 -| ZUO | Zuora Inc | BBG000BT3HG5 | usd | 1 | 0.01 -| SON | Sonoco Products Co | BBG000D7HF89 | usd | 1 | 0.01 -| MYGN | Myriad Genetics Inc | BBG000D9H9F1 | usd | 1 | 0.01 -| FCN | FTI Consulting Inc | BBG000K88H58 | usd | 1 | 0.01 -| DAR | Darling Ingredients Inc | BBG000BN8ZK8 | usd | 1 | 0.01 -| GEF | Greif Inc | BBG000BLFNC0 | usd | 1 | 0.01 -| ENPG | En+ Group | BBG000RMWQD4 | rub | 1 | 0.5 -| RCL | Royal Caribbean Cruises | BBG000BB5792 | usd | 1 | 0.01 -| 1113 | CK Asset Holdings | BBG007WDD4B5 | hkd | 10 | 0.05 -| TTMI | TTM Technologies Inc | BBG000BYQ0B1 | usd | 1 | 0.01 -| AFL | Aflac Incorporated | BBG000BBBNC6 | usd | 1 | 0.01 -| MCRI | Monarch Casino & Resort Inc | BBG000BJ0932 | usd | 1 | 0.01 -| GLBE | Global-E Online Ltd | BBG00ZKY1P71 | usd | 1 | 0.01 -| SYF | Synchrony Financial | BBG00658F3P3 | usd | 1 | 0.01 -| FFIN | First Financial Bankshares, Inc. | BBG000BL8476 | usd | 1 | 0.01 -| EAT | Brinker International Inc | BBG000BK28N7 | usd | 1 | 0.01 -| TEL | TE Connectivity | BBG000RGM5P1 | usd | 1 | 0.01 -| CHMK | ЧМК | BBG000RP8V70 | rub | 1 | 5. -| OGN | Organon & Co. | BBG00ZQRGW24 | usd | 1 | 0.01 -| FEES | ФСК ЕЭС | BBG00475JZZ6 | rub | 10000 | 2e-05 -| CTRA | Coterra Energy | BBG000C3GN47 | usd | 1 | 0.01 -| NDSN | Nordson Corp | BBG000BPWGR1 | usd | 1 | 0.01 -| SKM | SK Telecom Co. | BBG000BLN497 | usd | 1 | 0.01 -| ALL | The Allstate Corporation | BBG000BVMGF2 | usd | 1 | 0.01 -| CSII | Cardiovascular Systems Inc | BBG000NWQ9S5 | usd | 1 | 0.01 -| SBAC | SBA Communications REIT | BBG000D2M0Z7 | usd | 1 | 0.01 -| PRAX | Praxis Precision Medicines | BBG00W9LF2G5 | usd | 1 | 0.01 -| BAC | Bank of America Corp | BBG000BCTLF6 | usd | 1 | 0.01 -| OVV | Ovintiv Inc. | BBG00R2NHQ65 | usd | 1 | 0.01 -| DINO | HF Sinclair Corporation | BBG0135B2214 | usd | 1 | 0.01 -| AMAT | Applied Materials | BBG000BBPFB9 | usd | 1 | 0.01 -| EHTH | eHealth Inc | BBG000P5JQX6 | usd | 1 | 0.01 -| DIS | Walt Disney | BBG000BH4R78 | usd | 1 | 0.01 -| ANAB | AnaptysBio Inc | BBG0026ZDHR0 | usd | 1 | 0.01 -| APEI | American Public Education Inc | BBG000RVD346 | usd | 1 | 0.01 -| NWLI | National Western Life Group In | BBG008HNHZ07 | usd | 1 | 0.01 -| AAPL | Apple | BBG000B9XRY4 | usd | 1 | 0.01 -| NABL | N-able | BBG00YJKWXD8 | usd | 1 | 0.01 -| HUN | Huntsman | BBG000NS26Q8 | usd | 1 | 0.01 -| ROST | Ross Stores | BBG000BSBZH7 | usd | 1 | 0.01 -| GDRX | GoodRx Holdings Inc | BBG00X0VP8D9 | usd | 1 | 0.01 -| AYI | Acuity Brands | BBG000BJ5HK0 | usd | 1 | 0.01 -| BIGC | BigCommerce Holdings | BBG00W1PSSJ0 | usd | 1 | 0.01 -| SHEL | Shell АДР | BBG0147BN6G2 | usd | 1 | 0.01 -| OKTA | Okta Inc | BBG001YV1SM4 | usd | 1 | 0.01 -| JACK | Jack in the Box | BBG000GZYVY1 | usd | 1 | 0.01 -| CON@DE | Continental AG | BBG000BBZBV5 | eur | 1 | 0.01 -| APTK | Аптечная сеть 36,6 | BBG000K3STR7 | rub | 10 | 0.002 -| BKI | Black Knight Inc | BBG00GX77LW3 | usd | 1 | 0.01 -| CFG | Citizens Financial Group | BBG006Q0HY77 | usd | 1 | 0.01 -| BKNG | Booking | BBG000BLBVN4 | usd | 1 | 0.01 -| HST | Host Hotels & Resorts REIT | BBG000BL8804 | usd | 1 | 0.01 -| EXPE | Expedia | BBG000QY3XZ2 | usd | 1 | 0.01 -| ZEN | Zendesk Inc | BBG001HRFJG4 | usd | 1 | 0.01 -| PTC | PTC Inc | BBG000C2VBB0 | usd | 1 | 0.01 -| NEE | NextEra Energy | BBG000BJSBJ0 | usd | 1 | 0.01 -| MAR | Marriott International | BBG000BGD7W6 | usd | 1 | 0.01 -| TAL | TAL Education Group | BBG0016XJ8S0 | usd | 1 | 0.01 -| OXY | Occidental Petroleum | BBG000BQQ2S6 | usd | 1 | 0.01 -| SCHW | The Charles Schwab Corporation | BBG000BSLZY7 | usd | 1 | 0.01 -| MDT | Medtronic | BBG000BNWG87 | usd | 1 | 0.01 -| TWNK | Hostess Brands Inc | BBG00B6KGNN1 | usd | 1 | 0.01 -| PFGC | Performance Food Group Co | BBG009XW2WB8 | usd | 1 | 0.01 -| APPF | Appfolio Inc | BBG008GC8CP6 | usd | 1 | 0.01 -| NFLX | Netflix | BBG000CL9VN6 | usd | 1 | 0.01 -| TFC | Truist Financial Corporation | BBG000BYYLS8 | usd | 1 | 0.01 -| PZZA | Papa John's International Inc | BBG000BFWF13 | usd | 1 | 0.01 -| MTH | Meritage Homes Corp | BBG000F4F1N0 | usd | 1 | 0.01 -| EMBC | Embecta | BBG014L7D4G1 | usd | 1 | 0.01 -| PKG | Packaging Corp of America | BBG000BB8SW7 | usd | 1 | 0.01 -| FDS | FactSet Research Systems Inc | BBG000BDJL83 | usd | 1 | 0.01 -| EVH | Evolent Health Inc | BBG005CHLM96 | usd | 1 | 0.01 -| INO | Inovio Pharmaceuticals | BBG000BK6YX5 | usd | 1 | 0.01 -| PBA | Pembina Pipeline Corporation | BBG001732GF9 | usd | 1 | 0.01 -| RUGR | Русгрэйн | BBG0014PFYM2 | rub | 10 | 0.002 -| INTC | Intel Corporation | BBG000C0G1D1 | usd | 1 | 0.01 -| HEI@DE | HeidelbergCement AG | BBG000BWRTS3 | eur | 1 | 0.01 -| NGVT | Ingevity Corp | BBG009LM28K6 | usd | 1 | 0.01 -| NVR | NVR Inc | BBG000BQBYR3 | usd | 1 | 0.01 -| LPX | Louisiana-Pacific Corporation | BBG000BNF508 | usd | 1 | 0.01 -| ZGNX | Zogenix Inc | BBG000VDC3G9 | usd | 1 | 0.01 -| ECPG | Encore Capital Group Inc | BBG000F369C7 | usd | 1 | 0.01 -| AVY | Avery Dennison | BBG000BCQ4P6 | usd | 1 | 0.01 -| MRO | Marathon Oil | BBG000C8H633 | usd | 1 | 0.01 -| NUE | Nucor | BBG000BQ8KV2 | usd | 1 | 0.01 -| MOS | Mosaic | BBG000BFXHL6 | usd | 1 | 0.01 -| NWE | NorthWestern Corporation | BBG000Q1NMJ4 | usd | 1 | 0.01 -| CARG | Cargurus Inc | BBG00HQ77DS2 | usd | 1 | 0.01 -| LULU | Lululemon Athletica Inc | BBG000R8ZVD1 | usd | 1 | 0.01 -| KRG | Kite Realty Group REIT | BBG000BC2KW8 | usd | 1 | 0.01 -| VIR | Vir Biotechnology | BBG00H2QQ8T5 | usd | 1 | 0.01 -| WDAY | Workday Inc | BBG000VC0T95 | usd | 1 | 0.01 -| DBK@DE | Deutsche Bank AG | BBG000BBZW12 | eur | 1 | 0.01 -| ROLL | RBC Bearings Inc | BBG000GMGNB3 | usd | 1 | 0.01 -| PLNT | Planet FItness Inc | BBG009H04M17 | usd | 1 | 0.01 -| TREE | LendingTree Inc | BBG000TVRB50 | usd | 1 | 0.01 -| INCY | Incyte | BBG000BNPSQ9 | usd | 1 | 0.01 -| FOXA | Twenty-First Century Fox (A) | BBG00JHNJW99 | usd | 1 | 0.01 -| SWX | Southwest Gas Holdings | BBG00FWP4JW4 | usd | 1 | 0.01 -| SSTK | Shutterstock Inc | BBG002ZCK2V9 | usd | 1 | 0.01 -| DOCN | DigitalOcean Holdings | BBG00ZGF6SS3 | usd | 1 | 0.01 -| EXR | Extra Space Storage REIT | BBG000PV27K3 | usd | 1 | 0.01 -| OHI | Omega Healthcare Investors REIT | BBG000BGBTC2 | usd | 1 | 0.01 -| HHR | HeadHunter Group PLC | BBG00KHGQ0H4 | usd | 1 | 0.01 -| OTIS | Otis Worldwide | BBG00RP60KV0 | usd | 1 | 0.01 -| LYLT | Loyalty Ventures | BBG012QVD574 | usd | 1 | 0.01 -| UGI | UGI Corp | BBG000BVYN55 | usd | 1 | 0.01 -| RVLV | Revolve Group Inc | BBG00M4RHBD0 | usd | 1 | 0.01 -| SGZH | Сегежа | BBG0100R9963 | rub | 100 | 0.001 -| SRPT | Sarepta Therapeutics Inc | BBG000BCJ161 | usd | 1 | 0.01 -| DM | Desktop Metal | BBG00P17H053 | usd | 1 | 0.01 -| AVLR | Avalara Inc | BBG000R4Y9C1 | usd | 1 | 0.01 -| SCI | Service Corp International/US | BBG000BTHH16 | usd | 1 | 0.01 -| HUBS | HubSpot Inc | BBG000N7MZ06 | usd | 1 | 0.01 -| KHC | Kraft Heinz | BBG005CPNTQ2 | usd | 1 | 0.01 -| INT | World Fuel Services Corporation | BBG000BM3CJ8 | usd | 1 | 0.01 -| SITM | SiTime | BBG00QNSY1H7 | usd | 1 | 0.01 -| CLOV | Clover Health Investments, Corp. | BBG00SHY90J5 | usd | 1 | 0.01 -| TRIP | TripAdvisor | BBG001M8HHB7 | usd | 1 | 0.01 -| TRMB | Trimble Inc | BBG000BNPS52 | usd | 1 | 0.01 -| ATGE | Adtalem Global Education Inc | BBG000DQBZJ7 | usd | 1 | 0.01 -| MRKV | МРСК Волги | BBG000PKWCQ7 | rub | 10000 | 5e-05 -| PETQ | PetIQ Inc | BBG00H1CY328 | usd | 1 | 0.01 -| GD | General Dynamics | BBG000BK67C7 | usd | 1 | 0.01 -| WPM | Wheaton Precious Metals | BBG000PVRDL2 | usd | 1 | 0.01 -| GOOGL | Alphabet Class A | BBG009S39JX6 | usd | 1 | 0.01 -| AWK | American Water Works | BBG000TRJ294 | usd | 1 | 0.01 -| NTR | Nutrien | BBG00JM9XLN6 | usd | 1 | 0.01 -| AAP | Advance Auto Parts | BBG000F7RCJ1 | usd | 1 | 0.01 -| NWL | Newell Brands | BBG000BQC9V2 | usd | 1 | 0.01 -| DVN | Devon Energy | BBG000BBVJZ8 | usd | 1 | 0.01 -| MTCH | Match Group Inc | BBG00B6WH9G3 | usd | 1 | 0.01 -| MTTR | Matterport | BBG00XS0FV56 | usd | 1 | 0.01 -| MNDY | Monday.Com | BBG00GF8K4W4 | usd | 1 | 0.01 -| NWSA | News Corp (A) | BBG0035LY913 | usd | 1 | 0.01 -| AXSM | Axsome Therapeutics Inc | BBG00B6G7GL7 | usd | 1 | 0.01 -| BTAI | BioXcel Therapeutics | BBG00K20GVD2 | usd | 1 | 0.01 -| ASO | Academy Sports & Outdoors | BBG00X7L1C14 | usd | 1 | 0.01 -| FHI | Federated Hermes | BBG000BP0929 | usd | 1 | 0.01 -| EVR | Evercore | BBG000BP30Y0 | usd | 1 | 0.01 -| ALRS | АЛРОСА | BBG004S68B31 | rub | 10 | 0.01 -| CHKP | Check Point Software Technologies Ltd | BBG000K82ZT8 | usd | 1 | 0.01 -| INMD | Inmode Ltd | BBG00PPS73P4 | usd | 1 | 0.01 -| ETRN | Equitrans Midstream Corporation | BBG00K53L394 | usd | 1 | 0.01 -| LEGH | Legacy Housing Corp | BBG00MJDR6J9 | usd | 1 | 0.01 -| CDK | CDK Global | BBG006B6PVN9 | usd | 1 | 0.01 -| UBS | UBS Group | BBG007DJM539 | usd | 1 | 0.01 -| ACH | Aluminum Corp of China | BBG000CMRVH1 | usd | 1 | 0.01 -| PG | Procter & Gamble | BBG000BR2TH3 | usd | 1 | 0.01 -| SELG | Селигдар | BBG002458LF8 | rub | 10 | 0.01 -| AIZ | Assurant | BBG000BZX1N5 | usd | 1 | 0.01 -| SMAR | Smartsheet Inc | BBG00GQK3WB5 | usd | 1 | 0.01 -| ADUS | Addus HomeCare Corp | BBG000NJGX84 | usd | 1 | 0.01 -| APPS | Digital Turbine Inc | BBG000HZ3562 | usd | 1 | 0.01 -| PGTI | PGT Innovations Inc | BBG000FX3Y66 | usd | 1 | 0.01 -| XRAY | Dentsply Sirona | BBG000BX57K1 | usd | 1 | 0.01 -| SUPN | Supernus Pharmaceuticals Inc | BBG000BP0HX7 | usd | 1 | 0.01 -| LKOD@GS | LUKOIL PJSC | BBG000NN8497 | usd | 1 | 0.01 -| HNP | Huaneng Power International | BBG000BX5YM0 | usd | 1 | 0.01 -| META | Meta Platforms | BBG000MM2P62 | usd | 1 | 0.01 -| WDC | Western Digital | BBG000BWNFZ9 | usd | 1 | 0.01 -| CHX | ChampionX Corporation | BBG00JH9TZ56 | usd | 1 | 0.01 -| CARR | Carrier Global | BBG00RP5HYS8 | usd | 1 | 0.01 -| PSTG | Pure Storage Inc | BBG00212PVZ5 | usd | 1 | 0.01 -| PAGS | Pagseguro Digital Ltd | BBG00JM7QBR6 | usd | 1 | 0.01 -| BMO | Bank of Montreal | BBG000DLY9B9 | usd | 1 | 0.01 -| MGM | MGM Resorts International | BBG000C2BXK4 | usd | 1 | 0.01 -| TDS | Telephone & Data Systems Inc | BBG000BV0VK7 | usd | 1 | 0.01 -| FIVN | Five9 Inc | BBG001KHJM17 | usd | 1 | 0.01 -| SWTX | SpringWorks Therapeutics | BBG00Q011TW9 | usd | 1 | 0.01 -| PPG | PPG Industries | BBG000BRJ809 | usd | 1 | 0.01 -| TGNA | TEGNA | BBG000BK5DP1 | usd | 1 | 0.01 -| SMG | Scotts Miracle-Gro Co The | BBG000BT5PG5 | usd | 1 | 0.01 -| MCHP | Microchip Technology | BBG000BHCP19 | usd | 1 | 0.01 -| TAP | Molson Coors Brewing | BBG000BS7KS3 | usd | 1 | 0.01 -| PEG | Public Service Enterprise Group | BBG000BQZMH4 | usd | 1 | 0.01 -| HLT | Hilton | BBG0058KMH30 | usd | 1 | 0.01 -| SNBR | Sleep Number Corp | BBG000DM2BF3 | usd | 1 | 0.01 -| GO | Grocery Outlet Holding Corp | BBG00P4R3079 | usd | 1 | 0.01 -| ENS | EnerSys | BBG000PWTD92 | usd | 1 | 0.01 -| SWK | Stanley Black & Decker | BBG000BTQR96 | usd | 1 | 0.01 -| CTSH | Cognizant Technology Solutions | BBG000BBDV81 | usd | 1 | 0.01 -| BAH | Booz Allen Hamilton | BBG000R2YFG7 | usd | 1 | 0.01 -| ADPT | Adaptive Biotechnologies | BBG001J2PFF5 | usd | 1 | 0.01 -| KLSB | Калужская сбытовая компания | BBG000DBD6F6 | rub | 100 | 0.01 -| GPS | Gap | BBG000BKLH74 | usd | 1 | 0.01 -| LIFE | Фармсинтез | BBG0019K04R5 | rub | 100 | 0.005 -| RBLX | ROBLOX Corp | BBG001R1GCT0 | usd | 1 | 0.01 -| TTM | Tata Motors | BBG000PVGDH9 | usd | 1 | 0.01 -| RMD | ResMed Inc | BBG000L4M7F1 | usd | 1 | 0.01 -| USPH | US Physical Therapy Inc | BBG000CSRSG6 | usd | 1 | 0.01 -| NUS | Nu Skin Enterprises Inc | BBG000HG21Y3 | usd | 1 | 0.01 -| DK | Delek US Holdings Inc | BBG00FZYFVC5 | usd | 1 | 0.01 -| RACE | Ferrari N.V. | BBG009PH3Q86 | usd | 1 | 0.01 -| TPR | Tapestry | BBG000BY29C7 | usd | 1 | 0.01 -| FLOT | Совкомфлот | BBG000R04X57 | rub | 10 | 0.01 -| FLGT | Fulgent Genetics | BBG00DR7LTG2 | usd | 1 | 0.01 -| HXL | Hexcel Corp | BBG000BLMDQ9 | usd | 1 | 0.01 -| GMS | GMS Inc | BBG009Q036D0 | usd | 1 | 0.01 -| WY | Weyerhaeuser REIT | BBG000BX3BL3 | usd | 1 | 0.01 -| GRNT | Городские Инновационные Технологии | BBG00B8NN386 | rub | 100 | 0.0005 -| PRLB | Proto Labs Inc | BBG000BT13B3 | usd | 1 | 0.01 -| GILD | GILEAD | BBG000CKGBP2 | usd | 1 | 0.01 -| ENRU | Энел Россия | BBG000F6YP24 | rub | 1000 | 0.0002 -| GTRK | ГТМ | BBG00HY6V6H5 | rub | 10 | 0.05 -| ANIK | Anika Therapeutics Inc | BBG000BBKZD8 | usd | 1 | 0.01 -| CLF | Cleveland-Cliffs | BBG000BFRF55 | usd | 1 | 0.01 -| QS | QuantumScape Corporation | BBG00VJ17DS2 | usd | 1 | 0.01 -| IIVI | II-VI Inc | BBG000BLW102 | usd | 1 | 0.01 -| PAR | PAR Technology Corporation | BBG000BRP9K8 | usd | 1 | 0.01 -| PINS | Pinterest Inc | BBG002583CV8 | usd | 1 | 0.01 -| ARWR | Arrowhead Pharmaceuticals Inc | BBG000BRVKH0 | usd | 1 | 0.01 -| BPMC | Blueprint Medicines Corp | BBG001MC8YF7 | usd | 1 | 0.01 -| SFIN | ЭсЭфАй | BBG003LYCMB1 | rub | 10 | 0.2 -| TRNO | Terreno REIT | BBG000PV3J62 | usd | 1 | 0.01 -| NSSC | Napco Security Technologies | BBG000BQ6CT5 | usd | 1 | 0.01 -| LPRO | Open Lending Corp | BBG00VDHLSQ6 | usd | 1 | 0.01 -| KEP | Korea Electric Power | BBG000BCWG90 | usd | 1 | 0.01 -| JHG | Janus Henderson Group | BBG00GSNPM07 | usd | 1 | 0.01 -| TXG | 10X Genomics Inc | BBG007WX14X0 | usd | 1 | 0.01 -| HTA | Healthcare Trust of America REIT | BBG000PRJCX9 | usd | 1 | 0.01 -| WEX | WEX Inc | BBG000BVZP59 | usd | 1 | 0.01 -| RHM@DE | Rheinmetall AG | BBG000BWT790 | eur | 1 | 0.01 -| MGNT | Магнит | BBG004RVFCY3 | rub | 1 | 0.5 -| SMLT | ГК Самолет | BBG00F6NKQX3 | rub | 1 | 0.5 -| EGHT | 8x8 Inc | BBG000BCGHH7 | usd | 1 | 0.01 -| CMCO | Columbus McKinnon Corp | BBG000BCWWV0 | usd | 1 | 0.01 -| GNTX | Gentex Corporation | BBG000BKJ092 | usd | 1 | 0.01 -| JLL | Jones Lang LaSalle Inc | BBG000C2L2L0 | usd | 1 | 0.01 -| BROS | Dutch Bros | BBG01282ZHB3 | usd | 1 | 0.01 -| BOH | Bank of Hawaii | BBG000C8D8G9 | usd | 1 | 0.01 -| AJRD | Aerojet Rocketdyne Holdings In | BBG000BKRHQ7 | usd | 1 | 0.01 -| TDG | TransDigm | BBG000L8CBX4 | usd | 1 | 0.01 -| SOFI | SoFi Technologies | BBG00YB1ZD58 | usd | 1 | 0.01 -| PUBM | PubMatic | BBG001PKMK06 | usd | 1 | 0.01 -| HOLX | Hologic | BBG000C3NTN5 | usd | 1 | 0.01 -| RETA | Reata Pharmaceuticals Inc | BBG000R33BD1 | usd | 1 | 0.01 -| AXNX | Axonics | BBG0067QVJ50 | usd | 1 | 0.01 -| ACAD | ACADIA Pharmaceuticals Inc | BBG000BHG9K0 | usd | 1 | 0.01 -| CUBE | CubeSmart REIT | BBG000HF28Q9 | usd | 1 | 0.01 -| AES | The AES Corporation | BBG000C23KJ3 | usd | 1 | 0.01 -| FMC | FMC | BBG000BJP882 | usd | 1 | 0.01 -| MAN | ManpowerGroup Inc | BBG000BNMHS4 | usd | 1 | 0.01 -| M | Macy's | BBG000C46HM9 | usd | 1 | 0.01 -| LH | LabCorp | BBG000D9DMK0 | usd | 1 | 0.01 -| WAB | Wabtec Corp. | BBG000BDD940 | usd | 1 | 0.01 -| BIDU | Baidu | BBG000QXWHD1 | usd | 1 | 0.01 -| DPW@DE | Deutsche Post AG | BBG000LW3NX5 | eur | 1 | 0.01 -| CNC | Centene Corporation | BBG000BDXCJ5 | usd | 1 | 0.01 -| GTHX | G1 Therapeutics Inc | BBG005F1DK91 | usd | 1 | 0.01 -| LPL | LG Display | BBG000FJ0RK9 | usd | 1 | 0.01 -| SI | Silvergate Capital Corp. | BBG00MMM95S7 | usd | 1 | 0.01 -| IDXX | IDEXX | BBG000BLRT07 | usd | 1 | 0.01 -| FCFS | FirstCash | BBG0145KL747 | usd | 1 | 0.01 -| CCOI | Cogent Communications | BBG000D0SMY8 | usd | 1 | 0.01 -| WW | WW International, Inc. | BBG000DY6735 | usd | 1 | 0.01 -| CCJ | Cameco Corporation | BBG000DSZTN6 | usd | 1 | 0.01 -| CPRI | Capri Holdings Limited | BBG0029SNR63 | usd | 1 | 0.01 -| CARA | Cara Therapeutics Inc | BBG001J2QYS9 | usd | 1 | 0.01 -| OGZD@GS | Gazprom PJSC | BBG000KGYRF8 | usd | 1 | 0.01 -| ROKU | Roku Inc | BBG001ZZPQJ6 | usd | 1 | 0.01 -| ORCL | Oracle | BBG000BQLTW7 | usd | 1 | 0.01 -| WOR | Worthington Industries Inc | BBG000HL7499 | usd | 1 | 0.01 -| QRTEA | Qurate Retail Inc | BBG000PCQQL6 | usd | 1 | 0.01 -| FVRR | Fiverr International | BBG002YSC5M7 | usd | 1 | 0.01 -| VEON-RX | VEON | BBG00R4Z2NT4 | rub | 10 | 0.05 -| FE | FirstEnergy | BBG000BB6M98 | usd | 1 | 0.01 -| SYNH | Syneos Health Inc | BBG0078Y1D92 | usd | 1 | 0.01 -| SPR | Spirit AeroSystems Holdings | BBG000PRJ2Z9 | usd | 1 | 0.01 -| AVT | Avnet | BBG000BCPB71 | usd | 1 | 0.01 -| PODD | Insulet Corp | BBG000R7XX87 | usd | 1 | 0.01 -| LNZL | Лензолото | BBG000SK7JS5 | rub | 1 | 10. -| BMRN | BioMarin Pharmaceutical Inc | BBG000CZWZ05 | usd | 1 | 0.01 -| SCSC | ScanSource Inc | BBG000BHTPZ4 | usd | 1 | 0.01 -| PGR | Progressive | BBG000BR37X2 | usd | 1 | 0.01 -| XYL | Xylem | BBG001D8R5D0 | usd | 1 | 0.01 -| RCII | Rent-A-Center | BBG000BHQJX3 | usd | 1 | 0.01 -| CCXI | ChemoCentryx, Inc | BBG000PTSB12 | usd | 1 | 0.01 -| OI | O-I Glass | BBG00R2JZG39 | usd | 1 | 0.01 -| A | Agilent Technologies | BBG000C2V3D6 | usd | 1 | 0.01 -| AXON | Axon Enterprise Inc | BBG000BHJWG1 | usd | 1 | 0.01 -| ROK | Rockwell Automation | BBG000BBCDZ2 | usd | 1 | 0.01 -| LSPD | Lightspeed Commerce | BBG00PZ78ZM0 | usd | 1 | 0.01 -| NBIX | Neurocrine Biosciences Inc | BBG000GJS7C1 | usd | 1 | 0.01 -| BMW@DE | Bayerische Motoren Werke AG | BBG000BBXB74 | eur | 1 | 0.01 -| JJSF | J&J Snack Foods Corp | BBG000BMGPW0 | usd | 1 | 0.01 -| MCK | McKesson | BBG000DYGNW7 | usd | 1 | 0.01 -| CHEF | Chefs' Warehouse Inc | BBG001MFW6D6 | usd | 1 | 0.01 -| AMCX | AMC Networks Inc | BBG000H01H92 | usd | 1 | 0.01 -| SRC | Spirit Realty Capital REIT | BBG0027Z6X10 | usd | 1 | 0.01 -| PPC | Pilgrim's Pride Corp | BBG000BFLXV3 | usd | 1 | 0.01 -| CCK | Crown Holdings Inc | BBG000BF6756 | usd | 1 | 0.01 -| KNSL | Kinsale Capital Group | BBG00D8JD9Z9 | usd | 1 | 0.01 -| SITE | SiteOne Landscape Supply Inc | BBG009T22D49 | usd | 1 | 0.01 -| FME@DE | Fresenius Medical Care AG & Co | BBG000DHXTF1 | eur | 1 | 0.01 -| AFMD | Affimed NV | BBG006R5SSH5 | usd | 1 | 0.01 -| EGRX | Eagle Pharmaceuticals Inc | BBG005Y3XWH9 | usd | 1 | 0.01 -| NJR | New Jersey Resources Corp | BBG000BPZVW9 | usd | 1 | 0.01 -| TSM | Taiwan Semiconductor Manufacturing | BBG000BD8ZK0 | usd | 1 | 0.01 -| MHO | M/I Homes Inc | BBG000BL9MZ4 | usd | 1 | 0.01 -| AIR | AAR Corp | BBG000BBGQF1 | usd | 1 | 0.01 -| MRKP | Россети Центр и Приволжье | BBG000VG1034 | rub | 10000 | 0.0001 -| SMTC | Semtech Corp | BBG000DBKR53 | usd | 1 | 0.01 -| MMS | MAXIMUS Inc | BBG000BC5WJ4 | usd | 1 | 0.01 -| DTE@DE | Deutsche Telekom AG | BBG000HJTMS9 | eur | 1 | 0.01 -| F | Ford | BBG000BQPC32 | usd | 1 | 0.01 -| KAZTP | КуйбышевАзот - Акции привилегированные | BBG002B9T6Y1 | rub | 10 | 0.2 -| LKOH | ЛУКОЙЛ | BBG004731032 | rub | 1 | 0.5 -| GLW | Corning | BBG000BKFZM4 | usd | 1 | 0.01 -| HQY | HealthEquity Inc | BBG000TYXCT9 | usd | 1 | 0.01 -| INVH | Invitation Homes REIT | BBG00FQH6BS9 | usd | 1 | 0.01 -| HCCI | Heritage-Crystal Clean Inc | BBG000CCFB17 | usd | 1 | 0.01 -| PIPR | Piper Sandler Companies | BBG000FQXC75 | usd | 1 | 0.01 -| PLZL | Полюс Золото | BBG000R607Y3 | rub | 1 | 0.5 -| DE | Deere & Company | BBG000BH1NH9 | usd | 1 | 0.01 -| XP | XP Inc | BBG00QVJYGM9 | usd | 1 | 0.01 -| EPAY | Bottomline Technologies DE Inc | BBG000BRNH31 | usd | 1 | 0.01 -| MAA | Mid-America Apartment REIT | BBG000BLMY92 | usd | 1 | 0.01 -| FL | Foot Locker | BBG000BX8DC4 | usd | 1 | 0.01 -| REX | REX American Resources Corp | BBG000D2ZK61 | usd | 1 | 0.01 -| PGNY | Progyny Inc | BBG002H1K1H1 | usd | 1 | 0.01 -| NVTA | Invitae Corp | BBG005DJFD43 | usd | 1 | 0.01 -| DORM | Dorman Products Inc | BBG000BM22F5 | usd | 1 | 0.01 -| COKE | Coca-Cola Consolidated Inc | BBG000BG1SX2 | usd | 1 | 0.01 -| MD | Pediatrix Medical Group | BBG000H8LGK2 | usd | 1 | 0.01 -| MDLZ | Mondelez | BBG000D4LWF6 | usd | 1 | 0.01 -| BL | Blackline Inc | BBG0029KJVB0 | usd | 1 | 0.01 -| AME | AMETEK | BBG000B9XG87 | usd | 1 | 0.01 -| BSPB | Банк Санкт-Петербург | BBG000QJW156 | rub | 10 | 0.01 -| 2007 | Country Garden Holdings | BBG000QQCY41 | hkd | 100 | 0.01 -| MLKN | MillerKnoll | BBG000BP46T2 | usd | 1 | 0.01 -| SBH | Sally Beauty Holdings Inc | BBG000LR8515 | usd | 1 | 0.01 -| FSLY | Fastly Inc | BBG004NLQHL0 | usd | 1 | 0.01 -| LHX | L3Harris Technologies Inc | BBG000BLGFJ9 | usd | 1 | 0.01 -| CDLX | Cardlytics Inc | BBG00225ZDD0 | usd | 1 | 0.01 -| IGMS | IGM Biosciences Inc | BBG00PNR1BT2 | usd | 1 | 0.01 -| ARMK | Aramark | BBG001KY4N87 | usd | 1 | 0.01 -| CTXS | Citrix Systems | BBG000FQ6PY6 | usd | 1 | 0.01 -| PXD | Pioneer Natural Resources | BBG000BXRPH1 | usd | 1 | 0.01 -| NWS | News Corp | BBG0035M2ZB7 | usd | 1 | 0.01 -| EXC | Exelon Corporation | BBG000J6XT05 | usd | 1 | 0.01 -| ABBV | AbbVie | BBG0025Y4RY4 | usd | 1 | 0.01 -| CYRX | Cryoport | BBG000PNTXP0 | usd | 1 | 0.01 -| SQ | Block | BBG0018SLC07 | usd | 1 | 0.01 -| WERN | Werner Enterprises Inc | BBG000BWPP85 | usd | 1 | 0.01 -| UFPI | UUFP Industries, Inc | BBG000BL0T06 | usd | 1 | 0.01 -| CASY | Casey's General Stores Inc | BBG000BF0672 | usd | 1 | 0.01 -| VTR | Ventas REIT | BBG000FRVHB9 | usd | 1 | 0.01 -| CSL | Carlisle Companies Incorporated | BBG000BGGBT8 | usd | 1 | 0.01 -| SAM | Boston Beer Co Inc The | BBG000BCZBF1 | usd | 1 | 0.01 -| FLS | Flowserve | BBG000FFH4P5 | usd | 1 | 0.01 -| UNKL | ЮУНК | BBG002YFXL29 | rub | 1 | 10. -| AVNT | Avient Corporation | BBG000C8NJ10 | usd | 1 | 0.01 -| ZION | Zions Bancorporation | BBG000BX9WL1 | usd | 1 | 0.01 -| TRHC | Tabula Rasa HealthCare In | BBG00BT7PPY8 | usd | 1 | 0.01 -| MATV | Mativ Holdings | BBG000C3CWZ7 | usd | 1 | 0.01 -| MSST | Мультисистема | BBG001BBSZV8 | rub | 100 | 0.001 -| AMGN | Amgen | BBG000BBS2Y0 | usd | 1 | 0.01 -| VNE | Veoneer Inc | BBG00K4MPP27 | usd | 1 | 0.01 -| AOS | A. O. Smith Corporation | BBG000BC1L02 | usd | 1 | 0.01 -| WYNN | Wynn Resorts | BBG000LD9JQ8 | usd | 1 | 0.01 -| SIVB | SVB Financial Group | BBG000BT0CM2 | usd | 1 | 0.01 -| BWA | BorgWarner | BBG000BJ49H3 | usd | 1 | 0.01 -| AMCR | Amcor | BBG00LNJRQ09 | usd | 1 | 0.01 -| EA | Electronic Arts | BBG000BP0KQ8 | usd | 1 | 0.01 -| TCSG | TCS Group | BBG00QPYJ5H0 | rub | 1 | 0.5 -| RGA | Reinsurance Group of America I | BBG000BDLCQ0 | usd | 1 | 0.01 -| RRX | Regal Rexnord | BBG000BRXTR8 | usd | 1 | 0.01 -| UNH | UnitedHealth | BBG000CH5208 | usd | 1 | 0.01 -| DASH | DoorDash | BBG005D7QCJ3 | usd | 1 | 0.01 -| FUL | HB Fuller Co | BBG000BJZ7V7 | usd | 1 | 0.01 -| DKNG | DraftKings | BBG0134WCM78 | usd | 1 | 0.01 -| VRT | Vertiv Holdings Co | BBG00L2B8KW8 | usd | 1 | 0.01 -| TXRH | Texas Roadhouse Inc | BBG000PSJMV7 | usd | 1 | 0.01 -| CHWY | Chewy Inc | BBG00P19DKZ6 | usd | 1 | 0.01 -| WTW | Willis Towers Watson | BBG000DB3KT1 | usd | 1 | 0.01 -| POOL | Pool Corp | BBG000BCVG28 | usd | 1 | 0.01 -| UTL | Unitil Corporation | BBG000BW7X97 | usd | 1 | 0.01 -| WBS | Webster Financial Corporation | BBG000BWMX63 | usd | 1 | 0.01 -| LUMN | Lumen Technologies | BBG000BGLRN3 | usd | 1 | 0.01 -| MTB | M&T Bank | BBG000D9KWL9 | usd | 1 | 0.01 -| PPL | PPL | BBG000BRJL00 | usd | 1 | 0.01 -| MGTSP | МГТС - акции привилегированные | BBG000PZ0833 | rub | 1 | 2. -| KRC | Kilroy Realty Corp REIT | BBG000BLMXN8 | usd | 1 | 0.01 -| BGS | B&G Foods Inc | BBG000RKXRQ1 | usd | 1 | 0.01 -| LVS | Las Vegas Sands Corp | BBG000JWD753 | usd | 1 | 0.01 -| PCRX | Pacira BioSciences Inc | BBG0018FQNS6 | usd | 1 | 0.01 -| LI | Li Auto | BBG00W0KZD98 | usd | 1 | 0.01 -| VSAT | Viasat | BBG000HHLBF9 | usd | 1 | 0.01 -| SSNC | SS&C Technologies Holdings Inc | BBG000RJ2J04 | usd | 1 | 0.01 -| YY | JOYY Inc | BBG003H0XV18 | usd | 1 | 0.01 -| ANET | Arista Networks Inc | BBG000N2HDY5 | usd | 1 | 0.01 -| HUBG | Hub Group Inc | BBG000G9W6L0 | usd | 1 | 0.01 -| EBAY | eBay | BBG000C43RR5 | usd | 1 | 0.01 -| STLD | Steel Dynamics Inc | BBG000HGYNZ9 | usd | 1 | 0.01 -| SBER | Сбер Банк | BBG004730N88 | rub | 10 | 0.01 -| ECL | Ecolab | BBG000BHKYH4 | usd | 1 | 0.01 -| APPN | Appian Corp | BBG001C7PMJ2 | usd | 1 | 0.01 -| CDNS | Cadence Design Systems | BBG000C13CD9 | usd | 1 | 0.01 -| IFX@DE | Infineon Technologies AG | BBG000C8L273 | eur | 1 | 0.01 -| MSM | MSC Industrial Direct Co Inc | BBG000BCLYL9 | usd | 1 | 0.01 -| DVA | DaVita HealthCare Partners | BBG000MQ1SN9 | usd | 1 | 0.01 -| PCAR | PACCAR | BBG000BQVTF5 | usd | 1 | 0.01 -| PTR | PetroChina | BBG000BR85F1 | usd | 1 | 0.01 -| ORLY | O'Reilly Automotive | BBG000BGYWY6 | usd | 1 | 0.01 -| AFRM | Affirm Holdings | BBG00Y7BP8Y1 | usd | 1 | 0.01 -| ATR | AptarGroup | BBG000BGX2S0 | usd | 1 | 0.01 -| FARO | FARO Technologies Inc | BBG000BJD7C2 | usd | 1 | 0.01 -| MOH | Molina Healthcare Inc | BBG000MBHNC8 | usd | 1 | 0.01 -| IDA | IDACORP, Inc. | BBG000BLR3Y7 | usd | 1 | 0.01 -| RL | Ralph Lauren | BBG000BS0ZF1 | usd | 1 | 0.01 -| COUP | Coupa Software Inc | BBG001J4BCN4 | usd | 1 | 0.01 -| NVAX | Novavax | BBG000NVSBL7 | usd | 1 | 0.01 -| ATNI | ATN International, Inc | BBG000F8RCH1 | usd | 1 | 0.01 -| 1COV@DE | Covestro AG | BBG00DW0PN34 | eur | 1 | 0.01 -| SPG | Simon Property Group REIT | BBG000BJ2D31 | usd | 1 | 0.01 -| SFM | Sprouts Farmers Market Inc | BBG001KFKQM7 | usd | 1 | 0.01 -| O | Realty Income REIT | BBG000DHPN63 | usd | 1 | 0.01 -| APAM | Artisan Partners Asset Management | BBG001M6CZY1 | usd | 1 | 0.01 -| RAMP | LiveRamp Holdings Inc | BBG000BB4HM6 | usd | 1 | 0.01 -| H | Hyatt Hotels Corp | BBG000CVRFS4 | usd | 1 | 0.01 -| AI | C3.ai, Inc | BBG00Y6G6X31 | usd | 1 | 0.01 -| CGEN | Compugen | BBG000B9ZLB0 | usd | 1 | 0.01 -| GLPI | Gaming and Leisure Properties REIT | BBG003MSMCS6 | usd | 1 | 0.01 -| FSR | Fisker | BBG00LPWLFD4 | usd | 1 | 0.01 -| FGEN | FIBROGEN INC | BBG000FW5ZL6 | usd | 1 | 0.01 -| AMZN | Amazon.com | BBG000BVPV84 | usd | 1 | 0.01 -| PHOR | ФосАгро | BBG004S689R0 | rub | 1 | 1. -| PII | Polaris Industries Inc | BBG000D5S4M0 | usd | 1 | 0.01 -| U | Unity Software | BBG0056JW5G6 | usd | 1 | 0.01 -| PRFN | ЧЗПСН | BBG003BNWBP3 | rub | 100 | 0.001 -| SVAV | СОЛЛЕРС | BBG004S68JR8 | rub | 10 | 0.5 -| MANU | Manchester United Plc | BBG0035WV4N9 | usd | 1 | 0.01 -| XM | Qualtrics International Inc. | BBG00M9BHPZ5 | usd | 1 | 0.01 -| VTRS | Viatris Inc | BBG00Y4RQNH4 | usd | 1 | 0.01 -| ENV | Envestnet Inc | BBG000Q4NZ54 | usd | 1 | 0.01 -| IIPR | Innovative Industrial Properties REIT | BBG00F0SW7N8 | usd | 1 | 0.01 -| TPTX | Turning Point Therapeutics Inc | BBG00NPL9WH7 | usd | 1 | 0.01 -| DBX | Dropbox Inc | BBG0018SLDN0 | usd | 1 | 0.01 -| PJT | PJT Partners Inc. | BBG0079T1PZ6 | usd | 1 | 0.01 -| UNAC | Объединенная авиастроительная корпорация | BBG000Q7ZZY2 | rub | 1000 | 0.0005 -| IRGZ | Иркутскэнерго | BBG000NL6ZD9 | rub | 100 | 0.02 -| FR | First Industrial REIT | BBG000CKGDS5 | usd | 1 | 0.01 -| SNY | Sanofi | BBG000BBD5N1 | usd | 1 | 0.01 -| NMIH | NMI Holdings Inc | BBG005DLMMZ6 | usd | 1 | 0.01 -| BOX | Box Inc | BBG000PMSK08 | usd | 1 | 0.01 -| EWBC | East West Ban | BBG000CR20B1 | usd | 1 | 0.01 -| IONS | Ionis Pharmaceuticals Inc | BBG000JH6683 | usd | 1 | 0.01 -| ELV | Elevance Health | BBG000BCG930 | usd | 1 | 0.01 -| CNQ | Canadian Natural Resources | BBG000HW5GX3 | usd | 1 | 0.01 -| GXO | GXO Logistics, Inc. | BBG00YDGX945 | usd | 1 | 0.01 -| SBCF | Seacoast Banking Corp of Flori | BBG000KK3464 | usd | 1 | 0.01 -| HA | Hawaiian Holdings Inc | BBG000BC4185 | usd | 1 | 0.01 -| ZD | Ziff Davis | BBG000F3CWW7 | usd | 1 | 0.01 -| STEM | Stem | BBG00XP8NQN4 | usd | 1 | 0.01 -| XPEL | XPEL | BBG000R5XCX9 | usd | 1 | 0.01 -| INGR | Ingredion Inc | BBG000BXPZB7 | usd | 1 | 0.01 -| HGV | Hilton Grand Vacations Inc | BBG00CBYY6M1 | usd | 1 | 0.01 -| TYL | Tyler Technologies Inc | BBG000BVWZF9 | usd | 1 | 0.01 -| AVTR | Avantor Inc | BBG00G2HHYD7 | usd | 1 | 0.01 -| XEL | Xcel Energy | BBG000BCTQ65 | usd | 1 | 0.01 -| ETSY | Etsy Inc | BBG000N7MXL8 | usd | 1 | 0.01 -| KTOS | Kratos Defense & Security Solutions | BBG000C1HQ43 | usd | 1 | 0.01 -| DXC | DXC Technology | BBG00FN64XT9 | usd | 1 | 0.01 -| LEG | Leggett & Platt | BBG000BN53G7 | usd | 1 | 0.01 -| TW | Tradeweb Markets | BBG00NK8H8T2 | usd | 1 | 0.01 -| AUPH | Aurinia Pharmaceuticals | BBG000BCRJM5 | usd | 1 | 0.01 -| REZI | Resideo Technologies Inc | BBG00HY28K89 | usd | 1 | 0.01 -| MPW | Medical Properties REIT | BBG000BGRB25 | usd | 1 | 0.01 -| SHL@DE | Siemens Healthineers AG | BBG00KY6K4L0 | eur | 1 | 0.01 -| ONTO | Onto Innovation Inc | BBG000BPRN29 | usd | 1 | 0.01 -| SYNA | Synaptics Inc | BBG000BQV1S2 | usd | 1 | 0.01 -| KKR | KKR & Co. Inc. | BBG000BCQ6J8 | usd | 1 | 0.01 -| ZTS | Zoetis | BBG0039320N9 | usd | 1 | 0.01 -| IAA | IAA, Inc. | BBG00K7ZQ662 | usd | 1 | 0.01 -| HEAR | Turtle Beach Corp | BBG000BM6N47 | usd | 1 | 0.01 -| SLGN | Silgan Holdings Inc. | BBG000BPDDB6 | usd | 1 | 0.01 -| FCNCA | First Citizens BancShares, Inc. | BBG000BJCDS3 | usd | 1 | 0.01 -| MTOR | Meritor Inc | BBG000BH92D1 | usd | 1 | 0.01 -| PSMT | PriceSmart, Inc. | BBG000BTKR92 | usd | 1 | 0.01 -| APH | Amphenol | BBG000B9YJ35 | usd | 1 | 0.01 -| JPM | JPMorgan | BBG000DMBXR2 | usd | 1 | 0.01 -| 288 | WH Group | BBG00699M8Q7 | hkd | 100 | 0.01 -| PBI | Pitney Bowes | BBG000BQTMJ9 | usd | 1 | 0.01 -| EEFT | Euronet Worldwide Inc | BBG000BMNBY1 | usd | 1 | 0.01 -| CNI | Canadian National Railway Co | BBG000HS74G6 | usd | 1 | 0.01 -| GWRE | Guidewire Software Inc | BBG001C7PM75 | usd | 1 | 0.01 -| VEEV | Veeva Systems Inc | BBG001CGB489 | usd | 1 | 0.01 -| COLD | Americold Realty Trust REIT | BBG000QF05R6 | usd | 1 | 0.01 -| MTX@DE | MTU Aero Engines AG | BBG000BVTPQ3 | eur | 1 | 0.01 -| MMI | Marcus & Millichap Inc | BBG005GBRSR6 | usd | 1 | 0.01 -| BRO | Brown & Brown | BBG000BWSGF4 | usd | 1 | 0.01 -| KMPR | Kemper | BBG000H3GDJ8 | usd | 1 | 0.01 -| HD | The Home Depot | BBG000BKZB36 | usd | 1 | 0.01 -| VSTO | Vista Outdoor | BBG006F8QZK4 | usd | 1 | 0.01 -| STZ | Constellation Brands | BBG000J1QLT0 | usd | 1 | 0.01 -| RUSP | Русполимет | BBG000R466J1 | rub | 1000 | 0.0005 -| MED | Medifast Inc | BBG000BWBW76 | usd | 1 | 0.01 -| NET | CloudFlare Inc | BBG001WMKHH5 | usd | 1 | 0.01 -| ATRC | AtriCure | BBG000BL6CB5 | usd | 1 | 0.01 -| ALLO | Allogene Therapeutics Inc | BBG00KHRRDX3 | usd | 1 | 0.01 -| SWN | Southwestern Energy | BBG000BTR593 | usd | 1 | 0.01 -| S | SentinelOne, Inc. | BBG00B6F2F09 | usd | 1 | 0.01 -| THS | TreeHouse Foods Inc | BBG000GQGJT4 | usd | 1 | 0.01 -| RRR | Red Rock Resorts | BBG00B6G8077 | usd | 1 | 0.01 -| SSA@GS | Sistema PJSFC | BBG000G7B4C2 | usd | 1 | 0.01 -| CSWI | CSW Industrials Inc | BBG007NLG4L3 | usd | 1 | 0.01 -| CNK | Cinemark Holdings Inc | BBG000QDVR53 | usd | 1 | 0.01 -| MO | Altria Group | BBG000BP6LJ8 | usd | 1 | 0.01 -| W | Wayfair Inc | BBG001B17MV2 | usd | 1 | 0.01 -| MRVL | Marvell Technology, Inc. | BBG00ZXBJ153 | usd | 1 | 0.01 -| EME | EMCOR Group | BBG000BBRPL4 | usd | 1 | 0.01 -| ONEM | 1Life Healthcare | BBG0026ZDDQ0 | usd | 1 | 0.01 -| CFLT | Confluent | BBG007HWGYQ5 | usd | 1 | 0.01 -| LITE | Lumentum Holdings Inc | BBG0073F9RT7 | usd | 1 | 0.01 -| CEVA | CEVA | BBG000BN3P07 | usd | 1 | 0.01 -| ARNC | Arconic | BBG00R45JYB7 | usd | 1 | 0.01 -| BSY | Bentley Systems | BBG000BMSRR9 | usd | 1 | 0.01 -| KRYS | Krystal Biotech Inc | BBG00HDGRHH7 | usd | 1 | 0.01 -| SNAP | Snap Inc | BBG00441QMJ7 | usd | 1 | 0.01 -| CSGS | CSG Systems International Inc | BBG000G3TQV2 | usd | 1 | 0.01 -| SJI | South Jersey Industries, Inc | BBG000BT0T72 | usd | 1 | 0.01 -| HI | Hillenbrand | BBG000KT0GV3 | usd | 1 | 0.01 -| APP | AppLovin Corporation | BBG006HFPX77 | usd | 1 | 0.01 -| AMG | Affiliated Managers Group | BBG000C060M4 | usd | 1 | 0.01 -| CORT | Corcept Therapeutics Inc | BBG000BKJG33 | usd | 1 | 0.01 -| ALG | Alamo Group Inc. | BBG000BJTZX0 | usd | 1 | 0.01 -| PBF | PBF Energy Inc | BBG002832GV8 | usd | 1 | 0.01 -| RRC | Range Resources | BBG000FVXD63 | usd | 1 | 0.01 -| TSN | Tyson Foods | BBG000DKCC19 | usd | 1 | 0.01 -| CENTA | Central Garden & Pet Co | BBG000KTYB56 | usd | 1 | 0.01 -| GBX | Greenbrier Cos Inc | BBG000CF5097 | usd | 1 | 0.01 -| CVLT | CommVault Systems Inc | BBG000BG88X9 | usd | 1 | 0.01 -| BKR | Baker Hughes | BBG00GBVBK51 | usd | 1 | 0.01 -| AAON | AAON | BBG000C2LZP3 | usd | 1 | 0.01 -| HEN3@DE | Henkel AG & Co | BBG000BC3BJ2 | eur | 1 | 0.01 -| NTLA | Intellia Therapeutics Inc | BBG007KC7PB0 | usd | 1 | 0.01 -| ALSN | Allison Transmission Holdings | BBG001KY3845 | usd | 1 | 0.01 -| HLI | Houlihan Lokey, Inc. | BBG000CZTB66 | usd | 1 | 0.01 -| ROP | Roper Technologies | BBG000F1ZSN5 | usd | 1 | 0.01 -| SHOO | Steven Madden, Ltd. | BBG000BLV2Q3 | usd | 1 | 0.01 -| LEN | Lennar | BBG000BN5HF7 | usd | 1 | 0.01 -| AEE | Ameren | BBG000B9X8C0 | usd | 1 | 0.01 -| BCO | Brink's Co | BBG000DR5QP5 | usd | 1 | 0.01 -| LANC | Lancaster Colony | BBG000BN1M88 | usd | 1 | 0.01 -| VG | Vonage Holdings Corp | BBG000BRB5D9 | usd | 1 | 0.01 -| 1177 | Sino Biopharmaceutical | BBG000C6XDL4 | hkd | 100 | 0.01 -| SNA | Snap-on | BBG000BT7JW9 | usd | 1 | 0.01 -| SR | Spire Inc. | BBG000BN6KG8 | usd | 1 | 0.01 -| KRTX | Karuna Therapeutics Inc | BBG00NN875G0 | usd | 1 | 0.01 -| CBU | Community Bank System | BBG000BF4D19 | usd | 1 | 0.01 -| FAST | Fastenal Company | BBG000BJ8YN7 | usd | 1 | 0.01 -| ZY | Zymergen Inc. | BBG0077HPN74 | usd | 1 | 0.01 -| AA | Alcoa Corporation | BBG00B3T3HD3 | usd | 1 | 0.01 -| CRUS | Cirrus Logic Inc | BBG000C1DHF5 | usd | 1 | 0.01 -| SLQT | SelectQuote | BBG000GTP1B6 | usd | 1 | 0.01 -| FISV | Fiserv | BBG000BJKPG0 | usd | 1 | 0.01 -| SEIC | SEI Investments Company | BBG000BSQLT9 | usd | 1 | 0.01 -| GE | General Electric Company | BBG000BK6MB5 | usd | 1 | 0.01 -| MXL | MaxLinear Inc | BBG000BB6R33 | usd | 1 | 0.01 -| PFSI | PennyMac Financial Services | BBG00LMYX123 | usd | 1 | 0.01 -| KMI | Kinder Morgan | BBG0019JZ882 | usd | 1 | 0.01 -| AMT | American Tower REIT | BBG000B9XYV2 | usd | 1 | 0.01 -| VVX | V2X, Inc. | BBG005PG80K4 | usd | 1 | 0.01 -| COTY | Coty | BBG000F395V1 | usd | 1 | 0.01 -| APPH | AppHarvest | BBG00VDGP717 | usd | 1 | 0.01 -| PLXS | Plexus Corp | BBG000BRBX66 | usd | 1 | 0.01 -| DB1@DE | Deutsche Boerse AG | BBG000D54HT0 | eur | 1 | 0.01 -| BALL | Ball Corporation | BBG000BDDNH5 | usd | 1 | 0.01 -| CMC | Commercial Metals Company | BBG000BFSND8 | usd | 1 | 0.01 -| VXRT | Vaxart Inc | BBG000DR0RZ7 | usd | 1 | 0.01 -| HIBB | Hibbett, Inc. | BBG000H001V3 | usd | 1 | 0.01 -| ABC | AmerisourceBergen Corp | BBG000MDCQC2 | usd | 1 | 0.01 -| VOYA | Voya Financial | BBG000BCWKD6 | usd | 1 | 0.01 -| JCI | Johnson Controls | BBG000BVWLJ6 | usd | 1 | 0.01 -| AMN | AMN Healthcare Services Inc | BBG000BCT197 | usd | 1 | 0.01 -| WELL | Welltower REIT | BBG000BKY1G5 | usd | 1 | 0.01 -| PSX | Phillips 66 | BBG00286S4N9 | usd | 1 | 0.01 -| ITCI | Intra-Cellular Therapies, Inc | BBG0026ZFZC4 | usd | 1 | 0.01 -| WSO | Watsco Inc | BBG000DJN7L9 | usd | 1 | 0.01 -| HEI | HEICO | BBG000BL16Q7 | usd | 1 | 0.01 -| BBBY | Bed Bath & Beyond | BBG000CSY9H9 | usd | 1 | 0.01 -| SLAB | Silicon Laboratories Inc | BBG000BB99S3 | usd | 1 | 0.01 -| CNHI | CNH Industrial N.V. | BBG0059JSF49 | usd | 1 | 0.01 -| WSM | Williams-Sonoma Inc | BBG000FSMWC3 | usd | 1 | 0.01 -| REGI | Renewable Energy Group Inc | BBG0016SSV00 | usd | 1 | 0.01 -| HPQ | HP | BBG000KHWT55 | usd | 1 | 0.01 -| GPRO | GoPro | BBG001LWHLJ8 | usd | 1 | 0.01 -| ASIX | AdvanSix Inc | BBG00CWTTQ41 | usd | 1 | 0.01 -| TM | Toyota Motor Corp | BBG000BPH299 | usd | 1 | 0.01 -| GTN | Gray Television Inc | BBG000DSQLQ0 | usd | 1 | 0.01 -| KO | COCA-COLA | BBG000BMX289 | usd | 1 | 0.01 -| MKL | Markel Corp | BBG000FC7366 | usd | 1 | 0.01 -| MLCO | Melco Resorts & Entertainment | BBG000BHP8J4 | usd | 1 | 0.01 -| AAL | American Airlines Group | BBG005P7Q881 | usd | 1 | 0.01 -| PM | Philip Morris | BBG000J2XL74 | usd | 1 | 0.01 -| RRGB | Red Robin Gourmet Burgers Inc | BBG000MXH9C1 | usd | 1 | 0.01 -| CL | Colgate-Palmolive | BBG000BFQYY3 | usd | 1 | 0.01 -| AEM | Agnico Eagle Mines | BBG000DLVDK3 | usd | 1 | 0.01 -| EQT | EQT Corporation | BBG000BHZ5J9 | usd | 1 | 0.01 -| QNST | QuinStreet Inc | BBG000S9XXB8 | usd | 1 | 0.01 -| AMEZ | Ашинский метзавод | BBG000RJWGC4 | rub | 100 | 0.005 -| DSKY | Детский Мир | BBG000BN56Q9 | rub | 10 | 0.02 -| UBER | Uber | BBG002B04MT8 | usd | 1 | 0.01 -| PKI | PerkinElmer | BBG000FXW512 | usd | 1 | 0.01 -| MSEX | Middlesex Water Company | BBG000BPGQ60 | usd | 1 | 0.01 -| UNF | UniFirst Corp MA | BBG000BW29L1 | usd | 1 | 0.01 -| COP | ConocoPhillips | BBG000BQQH30 | usd | 1 | 0.01 -| IBKR | Interactive Brokers Group Inc | BBG000LV0836 | usd | 1 | 0.01 -| ARW | Arrow Electronics Inc | BBG000BCD3D5 | usd | 1 | 0.01 -| TSCO | Tractor Supply | BBG000BLXZN1 | usd | 1 | 0.01 -| GRMN | Garmin | BBG000C4LN67 | usd | 1 | 0.01 -| DLTH | Duluth Holdings Inc | BBG002GBMZG4 | usd | 1 | 0.01 -| SBRA | Sabra Health Care REIT | BBG000MTDW24 | usd | 1 | 0.01 -| LAC | Lithium Americas Corp. | BBG000BGM5P8 | usd | 1 | 0.01 -| OC | Owens Corning | BBG000M44VW8 | usd | 1 | 0.01 -| KMX | CarMax | BBG000BLMZK6 | usd | 1 | 0.01 -| WWE | World Wrestling Entertainment | BBG000F5YH15 | usd | 1 | 0.01 -| IBN | ICICI Bank | BBG000DRM643 | usd | 1 | 0.01 -| ARVN | Arvinas Inc | BBG00LW7YK82 | usd | 1 | 0.01 -| FTI | TechnipFMC | BBG00DL8NMV2 | usd | 1 | 0.01 -| QUOT | Quotient Technology Inc | BBG001QYNR63 | usd | 1 | 0.01 -| NTUS | Natus Medical Inc | BBG000DPZHS3 | usd | 1 | 0.01 -| GKOS | Glaukos Corp | BBG000WG2LQ1 | usd | 1 | 0.01 -| RKLB | Rocket Lab | BBG00Y61SZL5 | usd | 1 | 0.01 -| PLAN | Anaplan Inc | BBG002DZS299 | usd | 1 | 0.01 -| WM | Waste Management | BBG000BWVSR1 | usd | 1 | 0.01 -| VMI | Valmont Industries | BBG000BWB7V4 | usd | 1 | 0.01 -| JBT | John Bean Technologies | BBG000VLBCQ1 | usd | 1 | 0.01 -| QCOM | Qualcomm | BBG000CGC1X8 | usd | 1 | 0.01 -| APLT | Applied Therapeutics | BBG000DD0489 | usd | 1 | 0.01 -| NARI | Inari Medical Inc | BBG009J8K7M0 | usd | 1 | 0.01 -| CRSP | CRISPR Therapeutics AG | BBG00DBBGRX1 | usd | 1 | 0.01 -| MASI | Masimo Corporation | BBG000C3W281 | usd | 1 | 0.01 -| TRUP | Trupanion Inc | BBG002BC7WC5 | usd | 1 | 0.01 -| ILMN | Illumina | BBG000DSMS70 | usd | 1 | 0.01 -| GPK | Graphic Packaging Holding Company | BBG000GQ7K93 | usd | 1 | 0.01 -| YETI | YETI Holdings Inc | BBG00D8JC882 | usd | 1 | 0.01 -| NFG | National Fuel Gas Company | BBG000BPYD87 | usd | 1 | 0.01 -| VIRT | Virtu Financial, Inc. | BBG0064N2T78 | usd | 1 | 0.01 -| SLG | SL Green REIT | BBG000BVP5P2 | usd | 1 | 0.01 -| DKS | Dick's Sporting Goods Inc | BBG000F6ZWH2 | usd | 1 | 0.01 -| RIVN | Rivian Automotive | BBG00741Y1N2 | usd | 1 | 0.01 -| MRKY | МРСК Юга | BBG000C7P5M7 | rub | 10000 | 5e-05 -| SNOW | Snowflake Inc | BBG007DHGNJ4 | usd | 1 | 0.01 -| MOMO | Hello Group | BBG007HTCQT0 | usd | 1 | 0.01 -| KSPI@GS | ГДР Kaspi.kz JSC | BBG00XV2T033 | usd | 1 | 0.01 -| AZTA | Azenta | BBG000DX9JV7 | usd | 1 | 0.01 -| KOD | Kodiak Sciences Inc | BBG00BVR0D02 | usd | 1 | 0.01 -| CHD | Church & Dwight | BBG000BFJT36 | usd | 1 | 0.01 -| ELS | Equity LifeStyle Properties REIT | BBG000BB7SX7 | usd | 1 | 0.01 -| TPG | TPG | BBG0145FSNR1 | usd | 1 | 0.01 -| VFC | VF | BBG000BWCKB6 | usd | 1 | 0.01 -| MDB | MongoDB Inc | BBG0022FDRY8 | usd | 1 | 0.01 -| SYK | Stryker | BBG000DN7P92 | usd | 1 | 0.01 -| SGMO | Sangamo Therapeutics | BBG000BHYT80 | usd | 1 | 0.01 -| EMN | Eastman Chemical Company | BBG000BLW530 | usd | 1 | 0.01 -| LDOS | Leidos Holdings | BBG000C23PB0 | usd | 1 | 0.01 -| DV | DoubleVerify Holdings, Inc. | BBG00ZNRRJM2 | usd | 1 | 0.01 -| NVS | Novartis AG | BBG000LYF3S8 | usd | 1 | 0.01 -| L | Loews | BBG000C45984 | usd | 1 | 0.01 -| LOGI | Logitech International SA | BBG000BQNNP6 | usd | 1 | 0.01 -| UWGN | ОВК | BBG008HD3V85 | rub | 1 | 0.1 -| IRDM | Iridium Communications Inc | BBG000VC0FC1 | usd | 1 | 0.01 -| LGIH | LGI Homes Inc | BBG0056655S1 | usd | 1 | 0.01 -| ATEX | Anterix | BBG0081NLHR0 | usd | 1 | 0.01 -| WRK | WestRock | BBG008NXC572 | usd | 1 | 0.01 -| OSIS | OSI Systems Inc | BBG000BWPR54 | usd | 1 | 0.01 -| MSA | MSA Safety | BBG000BPDXF8 | usd | 1 | 0.01 -| BJRI | BJ's Restaurants Inc | BBG000H9LNX1 | usd | 1 | 0.01 -| SLVM | Sylvamo Corp. | BBG0122M8031 | usd | 1 | 0.01 -| TWLO | Twilio Inc | BBG0029ZX840 | usd | 1 | 0.01 -| UHS | Universal Health Services | BBG000CB8Q50 | usd | 1 | 0.01 -| JBL | Jabil Inc. | BBG000BJNGN9 | usd | 1 | 0.01 -| CNX | CNX Resources Corporation | BBG000CKVSG8 | usd | 1 | 0.01 -| TXN | Texas Instruments | BBG000BVV7G1 | usd | 1 | 0.01 -| UAL | United Airlines Holdings | BBG000M65M61 | usd | 1 | 0.01 -| GEMC | United medical group | BBG011MCM288 | rub | 1 | 0.1 -| TTEK | Tetra Tech | BBG000BYZ0Q5 | usd | 1 | 0.01 -| HSIC | Henry Schein | BBG000BNMMJ3 | usd | 1 | 0.01 -| BLD | TopBuild Corp | BBG0077VS2C0 | usd | 1 | 0.01 -| BRBR | BellRing Brands | BBG013QNJHP8 | usd | 1 | 0.01 -| BELU | Белуга Групп ПАО ао | BBG000TY1CD1 | rub | 1 | 1. -| OMF | OneMain Holdings | BBG005497GZ3 | usd | 1 | 0.01 -| CVM | CEL SCI Corporation | BBG000H5G6L5 | usd | 1 | 0.01 -| MRVI | Maravai LifeSciences Holdings | BBG00Y1DFV91 | usd | 1 | 0.01 -| CCSI | Consensus Cloud Solutions | BBG0105XBRH0 | usd | 1 | 0.01 -| MPC | Marathon Petroleum | BBG001DCCGR8 | usd | 1 | 0.01 -| SPGI | S&P Global | BBG000BP1Q11 | usd | 1 | 0.01 -| HUBB | Hubbell | BBG000BLK267 | usd | 1 | 0.01 -| EDIT | Editas Medicine Inc | BBG005MX5GZ2 | usd | 1 | 0.01 -| BLDR | Builders FirstSource Inc | BBG000BKD3K9 | usd | 1 | 0.01 -| LECO | Lincoln Electric Holdings | BBG000BB72K8 | usd | 1 | 0.01 -| NKHP | НКХП | BBG00BGKYH17 | rub | 10 | 0.5 -| PLTR | Palantir Technologies Inc | BBG000N7QR55 | usd | 1 | 0.01 -| FRE@DE | Fresenius SE | BBG000BS3CD1 | eur | 1 | 0.01 -| DHER@DE | Delivery Hero SE | BBG00GVXMJ74 | eur | 1 | 0.01 -| SBGI | Sinclair Broadcast Group Inc | BBG000F2XXP2 | usd | 1 | 0.01 -| GNRC | Generac Holdings Inc | BBG000PQ4W72 | usd | 1 | 0.01 -| ACGL | Arch Capital Group | BBG000HXNN20 | usd | 1 | 0.01 -| HOG | Harley-Davidson | BBG000BKZTP3 | usd | 1 | 0.01 -| BLKB | Blackbaud Inc | BBG000BGGTW5 | usd | 1 | 0.01 -| AXP | American Express | BBG000BCQZS4 | usd | 1 | 0.01 -| PCOR | Procore Technologies | BBG0026ZJ304 | usd | 1 | 0.01 -| MVIS | MicroVision | BBG000BVKXQ5 | usd | 1 | 0.01 -| SONY | Sony Corp | BBG000BT7ZK6 | usd | 1 | 0.01 -| HHC | Howard Hughes Corp | BBG000MJRJJ2 | usd | 1 | 0.01 -| FOLD | Amicus Therapeutics | BBG000PLF6N0 | usd | 1 | 0.01 -| DRQ | Dril-Quip Inc | BBG000BVDBY2 | usd | 1 | 0.01 -| NSC | Norfolk Southern | BBG000BQ5DS5 | usd | 1 | 0.01 -| SJM | JM Smucker | BBG000BT1715 | usd | 1 | 0.01 -| DLTR | Dollar Tree | BBG000BSC0K9 | usd | 1 | 0.01 -| GOOG | Alphabet Class C | BBG009S3NB30 | usd | 1 | 0.01 -| CTAS | Cintas | BBG000H3YXF8 | usd | 1 | 0.01 -| PRU | Prudential Financial | BBG000HCJMF9 | usd | 1 | 0.01 -| KLAC | KLA-Tencor | BBG000BMTFR4 | usd | 1 | 0.01 -| LCII | LCI Industries | BBG000DNLMB0 | usd | 1 | 0.01 -| CM | Canadian Imperial Bank of Commerce | BBG000FKTHQ1 | usd | 1 | 0.01 -| CNTLP | Центральный Телеграф - акции привилегированные | BBG0027F0Y27 | rub | 100 | 0.02 -| KLIC | Kulicke & Soffa Industries | BBG000BMTX31 | usd | 1 | 0.01 -| BEN | Franklin Resources | BBG000BD0TF8 | usd | 1 | 0.01 -| CACC | Credit Acceptance Corp | BBG000CS0D96 | usd | 1 | 0.01 -| BERY | Berry Global Group Inc | BBG000Q1R1Y9 | usd | 1 | 0.01 -| BVB@DE | Borussia Dortmund GmbH & Co KG | BBG000D54JC4 | eur | 1 | 0.01 -| GLTR | Globaltrans Investment PLC | BBG000VFX6Y4 | rub | 1 | 0.05 -| SPT | Sprout Social | BBG001K1CT23 | usd | 1 | 0.01 -| JKHY | Jack Henry & Associates Inc | BBG000BMH2Q7 | usd | 1 | 0.01 -| FWRD | Forward Air Corporation | BBG000BRCHB4 | usd | 1 | 0.01 -| TDOC | Teladoc Health Inc | BBG0019T5SG0 | usd | 1 | 0.01 -| PCTY | Paylocity Holding Corp | BBG006598YS8 | usd | 1 | 0.01 -| WAFD | Washington Federal, Inc. | BBG000BWQTD0 | usd | 1 | 0.01 -| TMUS | T-Mobile US Inc | BBG000NDV1D4 | usd | 1 | 0.01 -| 9618 | JD.com | BBG00VC6RYV6 | hkd | 10 | 0.2 -| GS | Goldman Sachs | BBG000C6CFJ5 | usd | 1 | 0.01 -| HASI | Hannon Armstrong REIT | BBG0044K5DM4 | usd | 1 | 0.01 -| POST | Post Holdings Inc | BBG001WTBC36 | usd | 1 | 0.01 -| CAG | Conagra Brands | BBG000BDXGP9 | usd | 1 | 0.01 -| GMED | Globus Medical Inc | BBG002V87SD0 | usd | 1 | 0.01 -| MA | Mastercard | BBG000F1ZSQ2 | usd | 1 | 0.01 -| AIG | American International Group | BBG000BBDZG3 | usd | 1 | 0.01 -| OMC | Omnicom Group | BBG000BS9489 | usd | 1 | 0.01 -| FIVE | ГДР X5 RetailGroup | BBG00JXPFBN0 | rub | 1 | 0.5 -| UCTT | Ultra Clean Holdings Inc | BBG000HSLV70 | usd | 1 | 0.01 -| VRTS | Virtus Investment Partners | BBG000DMFQS2 | usd | 1 | 0.01 -| OIS | Oil States International Inc | BBG000BDDN94 | usd | 1 | 0.01 -| MSGS | Madison Square Garden Co | BBG007FG0C23 | usd | 1 | 0.01 -| WB | Weibo Corporation | BBG0065XPGX9 | usd | 1 | 0.01 -| R | Ryder System | BBG000BRVP70 | usd | 1 | 0.01 -| LKQ | LKQ Corporation | BBG000PXDL44 | usd | 1 | 0.01 -| BILI | Bilibili Inc | BBG00K7T3037 | usd | 1 | 0.01 -| COHR | Coherent Inc | BBG000BG1DH3 | usd | 1 | 0.01 -| IOSP | Innospec | BBG000BMFNP4 | usd | 1 | 0.01 -| TER | Teradyne Inc | BBG000BV4DR6 | usd | 1 | 0.01 -| CPS | Cooper-Standard Holdings Inc | BBG000PSXT64 | usd | 1 | 0.01 -| SKIN | The Beauty Health Company | BBG00XKM1DC3 | usd | 1 | 0.01 -| SAP | АДР SAP | BBG000BDSLD7 | usd | 1 | 0.01 -| SBUX | Starbucks Corporation | BBG000CTQBF3 | usd | 1 | 0.01 -| BANE | Башнефть | BBG004S68758 | rub | 1 | 0.5 -| CAT | Caterpillar | BBG000BF0K17 | usd | 1 | 0.01 -| OKEY | O'Key Group SA | BBG00172J7S9 | rub | 10 | 0.01 -| TREX | Trex Co Inc | BBG000BTGKK9 | usd | 1 | 0.01 -| IART | Integra LifeSciences Holdings | BBG000BZJQL8 | usd | 1 | 0.01 -| ROG | Rogers Corp | BBG000BS9HN3 | usd | 1 | 0.01 -| PYPL | PayPal Holdings | BBG0077VNXV6 | usd | 1 | 0.01 -| SONO | SONOS INC | BBG001JZPSQ2 | usd | 1 | 0.01 -| CCI | Crown Castle REIT | BBG000FV1Z23 | usd | 1 | 0.01 -| AEO | American Eagle Outfitters Inc | BBG000BGXZB5 | usd | 1 | 0.01 -| NXST | Nexstar Media Group Inc | BBG000DZJVH0 | usd | 1 | 0.01 -| CVS | CVS Health Corporation | BBG000BGRY34 | usd | 1 | 0.01 -| NEO | NeoGenomics Inc | BBG000BKH263 | usd | 1 | 0.01 -| HCA | HCA Healthcare | BBG000QW7VC1 | usd | 1 | 0.01 -| TSP | TuSimple Holdings | BBG00ZSDS6T8 | usd | 1 | 0.01 -| IBTX | Independent Bank Group, Inc. | BBG003981NS4 | usd | 1 | 0.01 -| PLZL@GS | Polyus PJSC | BBG00H2CS6K7 | usd | 1 | 0.01 -| UDR | UDR REIT | BBG000C41023 | usd | 1 | 0.01 -| UPS | United Parcel Service | BBG000L9CV04 | usd | 1 | 0.01 -| AJG | Arthur J. Gallagher & Co | BBG000BBHXQ3 | usd | 1 | 0.01 -| YUMC | Yum China Holdings | BBG00B8N0HG1 | usd | 1 | 0.01 -| RNR | RenaissanceRe Holdings | BBG000BFVZ83 | usd | 1 | 0.01 -| NVTK@GS | Novatek PJSC | BBG000QY6FL3 | usd | 1 | 0.01 -| TRMK | Трубная Металлургическая Компания | BBG004TC84Z8 | rub | 10 | 0.02 -| SIE@DE | Siemens AG | BBG000BCCT76 | eur | 1 | 0.01 -| POSI | Positive Technologies | TCS00A103X66 | rub | 1 | 0.2 -| CVCO | Cavco Industries Inc | BBG000K4WS65 | usd | 1 | 0.01 -| ROL | Rollins | BBG000BSBBP1 | usd | 1 | 0.01 -| BANEP | Башнефть - привилегированные акции | BBG004S686N0 | rub | 1 | 0.5 -| WFC | Wells Fargo & Company | BBG000BWQFY7 | usd | 1 | 0.01 -| LPLA | LPL Financial Holdings | BBG000P2TYL8 | usd | 1 | 0.01 -| RUAL | РУСАЛ | BBG008F2T3T2 | rub | 10 | 0.005 -| CRL | Charles River Laboratories Int | BBG000BG5BL8 | usd | 1 | 0.01 -| NVRO | Nevro | BBG001K61W36 | usd | 1 | 0.01 -| BOOT | Boot Barn Holdings Inc | BBG0077SYZV6 | usd | 1 | 0.01 -| WAT | Waters | BBG000FQRVM3 | usd | 1 | 0.01 -| MBUU | Malibu Boats Inc | BBG005PXTR70 | usd | 1 | 0.01 -| FDX | FedEx | BBG000BJF1Z8 | usd | 1 | 0.01 -| GTLS | Chart Industries Inc | BBG000P1K2X6 | usd | 1 | 0.01 -| RPD | Rapid7 Inc | BBG009DFHWG6 | usd | 1 | 0.01 -| OSH | Oak Street Health | BBG00W0L8GW3 | usd | 1 | 0.01 -| VLDR | Velodyne Lidar | BBG00M0X4584 | usd | 1 | 0.01 -| SIG | Signet Jewelers | BBG000C4ZZ10 | usd | 1 | 0.01 -| HIG | Hartford Financial Services | BBG000G0Z878 | usd | 1 | 0.01 -| MSGE | Madison Square Garden Entertainment | BBG00L9HLWV8 | usd | 1 | 0.01 -| TTLK | Таттелеком | BBG000RJL816 | rub | 1000 | 0.0005 -| COF | Capital One | BBG000BGKTF9 | usd | 1 | 0.01 -| FITB | Fifth Third Bancorp | BBG000BJL3N0 | usd | 1 | 0.01 -| RIOT | Riot Blockchain | BBG000BQ4512 | usd | 1 | 0.01 -| CHGG | Chegg Inc | BBG0014XR0N5 | usd | 1 | 0.01 -| YUM | Yum! | BBG000BH3GZ2 | usd | 1 | 0.01 -| ESAB | ESAB Corporation | BBG0028ZMP45 | usd | 1 | 0.01 -| MS | Morgan Stanley | BBG000BLZRJ2 | usd | 1 | 0.01 -| NDAQ | Nasdaq | BBG000F5VVB6 | usd | 1 | 0.01 -| SEDG | SolarEdge Technologies Inc | BBG0084BBZY6 | usd | 1 | 0.01 -| GMKN | Норильский никель | BBG004731489 | rub | 1 | 2. -| MEI | Methode Electronics Inc | BBG000BNY197 | usd | 1 | 0.01 -| GEVO | Gevo | BBG000P7S7L7 | usd | 1 | 0.01 -| RGEN | Repligen Corporation | BBG000BS48J3 | usd | 1 | 0.01 -| FLOW | SPX FLOW Inc | BBG007FL7ZD2 | usd | 1 | 0.01 -| SRE | Sempra Energy | BBG000C2ZCH8 | usd | 1 | 0.01 -| OGE | OGE Energy Corp. | BBG000BQGLS5 | usd | 1 | 0.01 -| TFX | Teleflex Inc | BBG000BV59Y6 | usd | 1 | 0.01 -| HPE | Hewlett Packard Enterprise | BBG0078W3NQ3 | usd | 1 | 0.01 -| WPC | WP Carey REIT | BBG000BCQM58 | usd | 1 | 0.01 -| IBM | IBM | BBG000BLNNH6 | usd | 1 | 0.01 -| CVGW | Calavo Growers Inc | BBG000BGPQW1 | usd | 1 | 0.01 -| NTCT | NetScout Systems Inc | BBG000C136Z8 | usd | 1 | 0.01 -| CIEN | Ciena Corp | BBG000BP1152 | usd | 1 | 0.01 -| DLR | Digital Realty REIT | BBG000Q5ZRM7 | usd | 1 | 0.01 -| BHF | Brighthouse Financial | BBG00DYPZ4T0 | usd | 1 | 0.01 -| SWBI | Smith & Wesson Brands | BBG000BM0QL7 | usd | 1 | 0.01 -| GBCI | Glacier Ban | BBG000C3KB84 | usd | 1 | 0.01 -| MSRS | МОЭСК | BBG004S687G6 | rub | 1000 | 0.0005 -| NVST | Envista Holdings | BBG00LN4B5N0 | usd | 1 | 0.01 -| Z | Zillow Group Inc | BBG009NRSWJ4 | usd | 1 | 0.01 -| SIGI | Selective Insurance Group | BBG000BSZ738 | usd | 1 | 0.01 -| TPX | Tempur Sealy International Inc | BBG000PXGT62 | usd | 1 | 0.01 -| NYCB | New York Community Bancorp | BBG000BVXPZ8 | usd | 1 | 0.01 -| QIWI | QIWI | BBG005D1WCQ1 | rub | 1 | 0.5 -| WWD | Woodward Inc | BBG000BD53V2 | usd | 1 | 0.01 -| IRKT | Корпорация ИРКУТ | BBG000FWGSZ5 | rub | 100 | 0.02 -| NEOG | Neogen Corp | BBG000C1BCK2 | usd | 1 | 0.01 -| DMTK | DermTech | BBG00H19F184 | usd | 1 | 0.01 -| ISKJ | ИСКЧ | BBG000N16BP3 | rub | 10 | 0.02 -| NUVA | NuVasive Inc | BBG000LNL298 | usd | 1 | 0.01 -| APLE | Apple Hospitality REIT | BBG006473QX9 | usd | 1 | 0.01 -| CHH | Choice Hotels International In | BBG000BPBTL2 | usd | 1 | 0.01 -| VTSC@DE | Vitesco Technologies Group AG | BBG00ZVC67K7 | eur | 1 | 0.01 -| OZON | Ozon Holdings PLC | BBG00Y91R9T3 | rub | 1 | 0.5 -| SPCE | Virgin Galactic Holdings Inc Class A | BBG00HTN2CQ3 | usd | 1 | 0.01 -| VOW3@DE | Volkswagen AG | BBG000BFCS17 | eur | 1 | 0.01 -| FFIV | F5 | BBG000CXYSZ6 | usd | 1 | 0.01 -| GPI | Group 1 Automotive Inc | BBG000BB88K4 | usd | 1 | 0.01 -| EFX | Equifax | BBG000BHPL78 | usd | 1 | 0.01 -| SPOT | Spotify Technology SA | BBG003T4VFC2 | usd | 1 | 0.01 -| ARE | Alexandria Real Estate Equities REIT | BBG000BC33T9 | usd | 1 | 0.01 -| CC | Chemours Company | BBG005H82GB2 | usd | 1 | 0.01 -| TASK | TaskUs | BBG009CL6VK3 | usd | 1 | 0.01 -| QTWO | Q2 Holdings Inc | BBG005ZVK9P2 | usd | 1 | 0.01 -| SPLK | Splunk | BBG001C7TST4 | usd | 1 | 0.01 -| ADP | Automatic Data Processing | BBG000JG0547 | usd | 1 | 0.01 -| ERIE | Erie IndemnIty Co | BBG000BBTJZ1 | usd | 1 | 0.01 -| ZI | ZoomInfo Technologies Inc | BBG00S1HJ3M8 | usd | 1 | 0.01 -| UPRO | Юнипро | BBG004S686W0 | rub | 1000 | 0.001 -| SSB | SouthState Corp | BBG000BNPYN9 | usd | 1 | 0.01 -| TKR | Timken Co The | BBG000BV95H9 | usd | 1 | 0.01 -| RS | Reliance Steel & Aluminum Co | BBG000CJ2181 | usd | 1 | 0.01 -| VUZI | Vuzix Corp | BBG000QKVV49 | usd | 1 | 0.01 -| MDC | M.D.C. Holdings | BBG000BNTTY4 | usd | 1 | 0.01 -| AZN | AstraZeneca PLC | BBG000BZ0DK8 | usd | 1 | 0.01 -| GH | Guardant Health Inc | BBG006D97VY9 | usd | 1 | 0.01 -| DCPH | Deciphera Pharmaceuticals Inc | BBG00HMJ9H54 | usd | 1 | 0.01 -| MFGP | Micro Focus | BBG00HFWVGN0 | usd | 1 | 0.01 -| XOM | Exxon Mobil Corporation | BBG000GZQ728 | usd | 1 | 0.01 -| AWH | Aspira Womens Health | BBG000BTYP37 | usd | 1 | 0.01 -| SHAK | Shake Shack Inc | BBG0063GCHH8 | usd | 1 | 0.01 -| IOVA | Iovance Biotherapeutics Inc | BBG000FTLBV7 | usd | 1 | 0.01 -| PVH | PVH | BBG000BRRG02 | usd | 1 | 0.01 -| NKLA | Nikola | BBG00L4CWQ45 | usd | 1 | 0.01 -| ALK | Alaska Air Group | BBG000BBL0Y1 | usd | 1 | 0.01 -| RY | Royal Bank of Canada | BBG000BSSC44 | usd | 1 | 0.01 -| WST | West Pharmaceutical Services I | BBG000BX24N8 | usd | 1 | 0.01 -| MTLRP | Мечел - Привилегированные акции | BBG004S68FR6 | rub | 10 | 0.05 -| SLB | Schlumberger | BBG000BT41Q8 | usd | 1 | 0.01 -| FTDR | Frontdoor, Inc. | BBG00H9MNDZ2 | usd | 1 | 0.01 -| TROW | T Rowe Price Group | BBG000BVMPN3 | usd | 1 | 0.01 -| KZOSP | ПАО «КАЗАНЬОРГСИНТЕЗ» - акции привилегированные | BBG0029SG1C1 | rub | 10 | 0.01 -| SAP@DE | SAP SE | BBG000BG7GX2 | eur | 1 | 0.01 -| LSNG | Ленэнерго | BBG000NLC9Z6 | rub | 100 | 0.01 -| SNX | SYNNEX Corp | BBG000CL9JV4 | usd | 1 | 0.01 -| HYDR | РусГидро | BBG00475K2X9 | rub | 1000 | 0.0001 -| GRPH | Graphite Bio, Inc. | BBG00XDH4NZ2 | usd | 1 | 0.01 -| ATRI | Atrion Corp | BBG000DTT624 | usd | 1 | 0.01 -| EXPI | eXp World Holdings | BBG001DCTG63 | usd | 1 | 0.01 -| INGN | Inogen Inc | BBG0021PH456 | usd | 1 | 0.01 -| CMS | CMS Energy Corporation | BBG000BFVXX0 | usd | 1 | 0.01 -| LHA@DE | Deutsche Lufthansa AG | BBG000BC6M41 | eur | 1 | 0.01 -| VCEL | Vericel Corp | BBG000BDCM24 | usd | 1 | 0.01 -| RIG | Transocean | BBG000BH5LT6 | usd | 1 | 0.01 -| ENR | Energizer Holdings Inc | BBG006FCB019 | usd | 1 | 0.01 -| PSN | Parsons | BBG000C3TKY6 | usd | 1 | 0.01 -| MANH | Manhattan Associates Inc | BBG000BFV758 | usd | 1 | 0.01 -| RTKMP | Ростелеком - Привилегированные акции | BBG004S685M3 | rub | 10 | 0.05 -| ICLR | ICON plc | BBG000CTSZQ6 | usd | 1 | 0.01 -| AFKS | АФК Система | BBG004S68614 | rub | 100 | 0.001 -| FULC | Fulcrum Therapeutics | BBG00DDY1RK9 | usd | 1 | 0.01 -| MNRO | Monro | BBG000C0BZD1 | usd | 1 | 0.01 -| WTS | Watts Water Technologies Inc | BBG000C4Z6C2 | usd | 1 | 0.01 -| ICUI | ICU Medical Inc | BBG000CQV2N4 | usd | 1 | 0.01 -| PRG | PROG Holdings | BBG00VSH86G4 | usd | 1 | 0.01 -| NTES | NetEase Inc | BBG000BX72V8 | usd | 1 | 0.01 -| KNBE | KnowBe4 | BBG00C4DL9L4 | usd | 1 | 0.01 -| FLR | Fluor | BBG000BB1TH9 | usd | 1 | 0.01 -| VRSB | ТНС энерго Воронеж | BBG000BX7DH0 | rub | 10 | 0.2 -| GBT | Global Blood Therapeutics Inc | BBG00341H6M0 | usd | 1 | 0.01 -| ATUS | Altice USA Inc | BBG00GFMPRK0 | usd | 1 | 0.01 -| TAK | Takeda Pharmaceutical Co Ltd | BBG000LF8708 | usd | 1 | 0.01 -| AZO | AutoZone | BBG000C7LMS8 | usd | 1 | 0.01 -| PARA | Paramount Global | BBG000C496P7 | usd | 1 | 0.01 -| WKHS | Workhorse Group Inc | BBG000BDPB15 | usd | 1 | 0.01 -| DAL | Delta Air Lines | BBG000R7Z112 | usd | 1 | 0.01 -| DLO | DLocal | BBG00XGCHFV7 | usd | 1 | 0.01 -| ANIP | ANI Pharmaceuticals Inc | BBG000KK1L04 | usd | 1 | 0.01 -| MSFT | Microsoft Corporation | BBG000BPH459 | usd | 1 | 0.01 -| DHI | D.R. Horton | BBG000DQTXY6 | usd | 1 | 0.01 -| NCNO | nCino | BBG014GJ8XH2 | usd | 1 | 0.01 -| FOXF | Fox Factory Holding Corp | BBG004T7VS53 | usd | 1 | 0.01 -| ACIW | ACI Worldwide, Inc. | BBG000PMBV39 | usd | 1 | 0.01 -| WSC | WillScot Mobile Mini Holdings | BBG00B0FS947 | usd | 1 | 0.01 -| ROSN | Роснефть | BBG004731354 | rub | 1 | 0.05 -| NKNC | Нижнекамскнефтехим | BBG000GQSRR5 | rub | 10 | 0.05 -| PAAS | Pan American Silver Corp | BBG000C0RGY3 | usd | 1 | 0.01 -| MCO | Moody's | BBG000F86GP6 | usd | 1 | 0.01 -| POR | Portland General Electric | BBG000BCRMW7 | usd | 1 | 0.01 -| FROG | JFrog Ltd. | BBG006PWZX16 | usd | 1 | 0.01 -| AON | Aon | BBG00SSQFPK6 | usd | 1 | 0.01 -| ET | Energy Transfer LP | BBG000BM2FL9 | usd | 1 | 0.01 -| UTHR | United Therapeutics Corp | BBG000BV4XJ1 | usd | 1 | 0.01 -| PB | Prosperity Bancshares | BBG000BHY4D9 | usd | 1 | 0.01 -| PTCT | PTC Therapeutics | BBG000QT15P7 | usd | 1 | 0.01 -| NLSN | Nielsen Holdings plc | BBG0088CYPX8 | usd | 1 | 0.01 -| VRTX | Vertex Pharmaceuticals | BBG000C1S2X2 | usd | 1 | 0.01 -| IFF | International Flavors & Fragrances | BBG000BLSL58 | usd | 1 | 0.01 -| BABA | Alibaba | BBG006G2JVL2 | usd | 1 | 0.01 -| AMP | Ameriprise Financial | BBG000G3QLY3 | usd | 1 | 0.01 -| AVB | AvalonBay Communities REIT | BBG000BLPBL5 | usd | 1 | 0.01 -| WIX | Wix.com Ltd | BBG005CM7J89 | usd | 1 | 0.01 -| WRB | WR Berkley | BBG000BD1HP2 | usd | 1 | 0.01 -| VEON | VEON | BBG000QCW561 | usd | 1 | 0.01 -| ARCC | Ares Capital Corp | BBG000PD6X77 | usd | 1 | 0.01 -| HAS | Hasbro | BBG000BKVJK4 | usd | 1 | 0.01 -| WING | Wingstop Inc | BBG008N298Y8 | usd | 1 | 0.01 -| ESPR | Esperion Therapeutics Inc | BBG004KB3S72 | usd | 1 | 0.01 -| URBN | Urban Outfitters | BBG000BL79J3 | usd | 1 | 0.01 -| GNL | Global Net Lease REIT | BBG004HXD0G8 | usd | 1 | 0.01 -| PH | Parker-Hannifin | BBG000BR3KL6 | usd | 1 | 0.01 -| EIX | Edison International | BBG000D7RKJ5 | usd | 1 | 0.01 -| MTD | Mettler Toledo | BBG000BZCKH3 | usd | 1 | 0.01 -| GGG | Graco | BBG000BK9W84 | usd | 1 | 0.01 -| SLDB | Solid Biosciences | BBG00JN4FXG8 | usd | 1 | 0.01 -| ALB | Albemarle | BBG000BJ26K7 | usd | 1 | 0.01 -| KEY | KeyCorp | BBG000BMQPL1 | usd | 1 | 0.01 -| ALLY | Ally Financial Inc | BBG000BC2R71 | usd | 1 | 0.01 -| AVAV | AeroVironment Inc | BBG000GX14P2 | usd | 1 | 0.01 -| BFH | Bread Financial | BBG000BFNR17 | usd | 1 | 0.01 -| SJW | SJW Group | BBG000BT1ZY7 | usd | 1 | 0.01 -| RCUS | Arcus Biosciences | BBG00DQD26W3 | usd | 1 | 0.01 -| ICFI | ICF International, Inc. | BBG000BBXVK5 | usd | 1 | 0.01 -| GAZP | Газпром | BBG004730RP0 | rub | 10 | 0.01 -| LSCC | Lattice Semiconductor Corp | BBG000C2D1C1 | usd | 1 | 0.01 -| MSCI | MSCI Inc | BBG000RTDY25 | usd | 1 | 0.01 -| EL | The Estee Lauder Companies | BBG000FKJRC5 | usd | 1 | 0.01 -| EXP | Eagle Materials Inc | BBG000BJW241 | usd | 1 | 0.01 -| LYB | LyondellBasell | BBG000WCFV84 | usd | 1 | 0.01 -| KAP@GS | NAC Kazatomprom JSC | BBG00MJM7K82 | usd | 1 | 0.01 -| MTX | Minerals Technologies Inc. | BBG000BB61F7 | usd | 1 | 0.01 -| KRKNP | Саратовский НПЗ - акции привилегированные | BBG002B2J5X0 | rub | 1 | 20. -| BLK | BlackRock | BBG000C2PW58 | usd | 1 | 0.01 -| ALE | ALLETE, Inc. | BBG000CYW7N5 | usd | 1 | 0.01 -| SHW | Sherwin-Williams | BBG000BSXQV7 | usd | 1 | 0.01 -| KD | Kyndryl Holdings | BBG012W99DN6 | usd | 1 | 0.01 -| BAX | Baxter International | BBG000BCVJ77 | usd | 1 | 0.01 -| DG | Dollar General | BBG000NV1KK7 | usd | 1 | 0.01 -| CB | Chubb | BBG000BR14K5 | usd | 1 | 0.01 -| BMI | Badger Meter Inc | BBG000BDGHD9 | usd | 1 | 0.01 -| DRI | Darden Restaurants | BBG000BBNYF6 | usd | 1 | 0.01 -| BSX | Boston Scientific Corporation | BBG000C0LW92 | usd | 1 | 0.01 -| RASP | Распадская | BBG004S68696 | rub | 10 | 0.05 -| SILK | Silk Road Medical | BBG0026ZJRY4 | usd | 1 | 0.01 -| IAC | IAC InterActiveCorp | BBG00S1LR2C3 | usd | 1 | 0.01 -| WMB | The Williams Companies | BBG000BWVCP8 | usd | 1 | 0.01 -| RARE | Ultragenyx Pharmaceutical Inc | BBG001RWPDW6 | usd | 1 | 0.01 -| ABG | Asbury Automotive Group Inc | BBG000BKDWB5 | usd | 1 | 0.01 -| VMC | Vulcan Materials | BBG000BWGYF8 | usd | 1 | 0.01 -| SXT | Sensient Technologies Corp | BBG000J79P80 | usd | 1 | 0.01 -| PLUG | Plug Power Inc | BBG000C1XSP8 | usd | 1 | 0.01 -| PDCO | Patterson | BBG000BQY289 | usd | 1 | 0.01 -| SVST@GS | Severstal PJSC | BBG000Q3XWC4 | usd | 1 | 0.01 -| CHMF | Северсталь | BBG00475K6C3 | rub | 1 | 0.2 -| ETLN | ГДР Etalon Group PLC | BBG001M2SC01 | rub | 1 | 0.02 -| KALU | Kaiser Aluminum Corp | BBG000PKZDX4 | usd | 1 | 0.01 -| SFTL | ГДР Softline | BBG0136BTL03 | rub | 1 | 0.1 -| VALE | Vale SA | BBG000BN5LG7 | usd | 1 | 0.01 -| BRKR | Bruker Corp | BBG000CL1FG7 | usd | 1 | 0.01 -| SAIA | Saia Inc | BBG000P5LMQ0 | usd | 1 | 0.01 -| STE | STERIS | BBG00MRHG523 | usd | 1 | 0.01 -| BDX | Becton, Dickinson and Company | BBG000BCZYD3 | usd | 1 | 0.01 -| RSTIP | Российские сети - акции привилегированные | BBG000KTF667 | rub | 1000 | 0.001 -| RJF | Raymond James Financial | BBG000BS73J1 | usd | 1 | 0.01 -| TCX | Tucows Inc | BBG000L69KL5 | usd | 1 | 0.01 -| AAN | The Aarons Company | BBG00WCNDCZ6 | usd | 1 | 0.01 -| FTV | Fortive | BBG00BLVZ228 | usd | 1 | 0.01 -| INFO | IHS Markit | BBG006G063F9 | usd | 1 | 0.01 -| LFST | LifeStance Health Group | BBG01138DGZ7 | usd | 1 | 0.01 -| MMSI | MerIt Medical Systems Inc | BBG000C42VX0 | usd | 1 | 0.01 -| NTGR | NETGEAR Inc | BBG000C4GBR6 | usd | 1 | 0.01 -| PAG | Penske Automotive Group | BBG000H6K1B0 | usd | 1 | 0.01 -| TCBI | Texas Capital Bancshares Inc | BBG000DN4ZT1 | usd | 1 | 0.01 -| FRME | First Merchants Corporation | BBG000BBSJ28 | usd | 1 | 0.01 -| COWN | Cowen, Inc. | BBG000ND1SB0 | usd | 1 | 0.01 -| VNT | Vontier Corporation | BBG00RRGSJR4 | usd | 1 | 0.01 -| QRVO | Qorvo | BBG007TJF1N7 | usd | 1 | 0.01 -| WTRG | Essential Utilities, Inc. | BBG000BRMJN6 | usd | 1 | 0.01 -| GRUB | АДР Just Eat Takeaway.com N.V. | BBG010R8C3Y4 | usd | 1 | 0.01 -| LII | Lennox International Inc | BBG000BB5B84 | usd | 1 | 0.01 -| FIZZ | National Beverage Corp | BBG000BF8CB6 | usd | 1 | 0.01 -| CRMT | America's Car-Mart Inc TX | BBG000CM6L31 | usd | 1 | 0.01 -| LHCG | LHC Group Inc | BBG000G7W420 | usd | 1 | 0.01 -| MOV | Movado Group Inc | BBG000BL30Y9 | usd | 1 | 0.01 -| SF | Stifel Financial | BBG000BSS5C0 | usd | 1 | 0.01 -| UBSI | United Bankshares, Inc. | BBG000BVXC87 | usd | 1 | 0.01 -| ZBRA | Zebra Technologies Corp | BBG000CC7LQ7 | usd | 1 | 0.01 -| NKTR | Nektar Therapeutics | BBG000BHCYJ1 | usd | 1 | 0.01 -| VPG | Vishay Precision Group Inc | BBG000PRQ0V9 | usd | 1 | 0.01 -| BZUN | Baozun Inc | BBG008HNS333 | usd | 1 | 0.01 -| ICE | Intercontinental Exchange | BBG000C1FB75 | usd | 1 | 0.01 -| SQSP | Squarespace, Inc. | BBG00389GQ73 | usd | 1 | 0.01 -| CMI | Cummins | BBG000BGPTV6 | usd | 1 | 0.01 -| CMA | Comerica Incorporated | BBG000C75N77 | usd | 1 | 0.01 -| LEA | Lear Corp | BBG000PTLGZ1 | usd | 1 | 0.01 -| SWAV | Shockwave Medical Inc | BBG005XVXML5 | usd | 1 | 0.01 -| VST | Vistra | BBG00DXDL6Q1 | usd | 1 | 0.01 -| FRPT | Freshpet Inc | BBG001D0HB36 | usd | 1 | 0.01 -| QLYS | Qualys Inc | BBG000HT5G06 | usd | 1 | 0.01 -| CHTR | Charter Communications | BBG000VPGNR2 | usd | 1 | 0.01 -| CI | Cigna | BBG00KXRCDP0 | usd | 1 | 0.01 -| SBERP | Сбер Банк - привилегированные акции | BBG0047315Y7 | rub | 10 | 0.01 -| ATKR | Atkore International Group Inc | BBG000QTFDQ4 | usd | 1 | 0.01 -| CLVT | Clarivate | BBG00P1919G5 | usd | 1 | 0.01 -| CRNC | Cerence | BBG00MMDJG84 | usd | 1 | 0.01 -| POGR | Petropavlovsk PLC | BBG00VPKLPX4 | rub | 100 | 0.005 -| VRNS | Varonis Systems Inc | BBG001Y04TN6 | usd | 1 | 0.01 -| WCC | WESCO International Inc | BBG000D0FNV3 | usd | 1 | 0.01 -| HOT@DE | Hochtief AG | BBG000BC3WH8 | eur | 1 | 0.01 -| LBRDK | Liberty Broadband Corporation | BBG006GNSZW5 | usd | 1 | 0.01 -| HON | Honeywell | BBG000H556T9 | usd | 1 | 0.01 -| LSI | Life Storage REIT | BBG000C42VL3 | usd | 1 | 0.01 -| LMT | Lockheed Martin | BBG000C1BW00 | usd | 1 | 0.01 -| MODV | ModivCare Inc. | BBG000P1B7C8 | usd | 1 | 0.01 -| BYND | Beyond Meat Inc | BBG003CVJP50 | usd | 1 | 0.01 -| RYN | Rayonier REIT | BBG000BG7L34 | usd | 1 | 0.01 -| DOCU | DocuSign Inc | BBG000N7KJX8 | usd | 1 | 0.01 -| ACM | AECOM | BBG000F61RJ8 | usd | 1 | 0.01 -| LUV | Southwest Airlines | BBG000BNJHS8 | usd | 1 | 0.01 -| BECN | Beacon Roofing Supply Inc | BBG000BKTXF2 | usd | 1 | 0.01 -| RRBI | Red River Bancshares | BBG000QKNLB2 | usd | 1 | 0.01 -| REYN | Reynolds Consumer Products Inc. | BBG00QVJVYB5 | usd | 1 | 0.01 -| NVCR | NovoCure Limited | BBG009XW8PY2 | usd | 1 | 0.01 -| CP | Canadian Pacific Railway | BBG000BCVMH9 | usd | 1 | 0.01 -| BF.B | Brown-Forman | BBG000BD2NY8 | usd | 1 | 0.01 -| CHEP | ЧТПЗ | BBG000Q49F45 | rub | 10 | 0.5 -| LEVI | Levi Strauss & Co | BBG000BQDF10 | usd | 1 | 0.01 -| PFG | Principal Financial Group | BBG000NSCNT7 | usd | 1 | 0.01 -| IQV | IQVIA Holdings Inc | BBG00333FYS2 | usd | 1 | 0.01 -| TRI | Thomson Reuters Corporation | BBG000BBS9F6 | usd | 1 | 0.01 -| LYFT | Lyft Inc | BBG004M9ZHX5 | usd | 1 | 0.01 -| CRI | Carter's Inc | BBG000CTM4J9 | usd | 1 | 0.01 -| RSG | Republic Services | BBG000BPXVJ6 | usd | 1 | 0.01 -| PRAA | PRA Group Inc | BBG000BNTW77 | usd | 1 | 0.01 -| SEE | Sealed Air | BBG000C22QV7 | usd | 1 | 0.01 -| ARNA | Arena Pharmaceuticals Inc | BBG000BKXBV7 | usd | 1 | 0.01 -| RE | Everest Re Group | BBG000C1XVK6 | usd | 1 | 0.01 -| DOV | Dover | BBG000BHB3M6 | usd | 1 | 0.01 -| CAH | Cardinal Health | BBG000D898T9 | usd | 1 | 0.01 -| CDNA | CareDx Inc | BBG006JS5785 | usd | 1 | 0.01 -| MMC | Marsh & McLennan | BBG000BP4MH0 | usd | 1 | 0.01 -| MAC | Macerich REIT | BBG000BL9C59 | usd | 1 | 0.01 -| JEF | Jefferies Financial Group | BBG000BNHSP9 | usd | 1 | 0.01 -| MSI | Motorola Solutions | BBG000BP8Z50 | usd | 1 | 0.01 -| MP | MP Materials | BBG00TJGL0F0 | usd | 1 | 0.01 -| BIG | Big Lots Inc | BBG000J0D904 | usd | 1 | 0.01 -| VCYT | Veracyte Inc | BBG001J2M542 | usd | 1 | 0.01 -| AMD | AMD | BBG000BBQCY0 | usd | 1 | 0.01 -| FBHS | Fortune Brands Home & Security | BBG001B4BV87 | usd | 1 | 0.01 -| CGNX | Cognex Corp | BBG000BPBVW5 | usd | 1 | 0.01 -| BBIO | Bridgebio Pharma | BBG00P9KDZK6 | usd | 1 | 0.01 -| PUMP | ProPetro Holding Corp | BBG00FYCQ352 | usd | 1 | 0.01 -| FTNT | Fortinet Inc | BBG000BCMBG4 | usd | 1 | 0.01 -| RSKD | Riskified | BBG011P2TCH8 | usd | 1 | 0.01 -| HP | Helmerich & Payne | BBG000BLCPY4 | usd | 1 | 0.01 -| CNXC | Concentrix Corporation | BBG00RCNQMX3 | usd | 1 | 0.01 -| WWW | Wolverine World Wide Inc | BBG000BX2YN2 | usd | 1 | 0.01 -| ZIM | ZIM Integrated Shipping Services | BBG00YQ7XR05 | usd | 1 | 0.01 -| GTX | Garrett Motion Inc | BBG00HY28P97 | usd | 1 | 0.01 -| CBRE | CBRE Group | BBG000C04224 | usd | 1 | 0.01 -| CEA | China Eastern Airlines | BBG000BCFNR4 | usd | 1 | 0.01 -| FIGS | FIGS | BBG004SK5VL9 | usd | 1 | 0.01 -| LNTH | Lantheus Holdings Inc | BBG006Q52RD0 | usd | 1 | 0.01 -| IPGP | IPG Photonics Corporation | BBG000DCGRL8 | usd | 1 | 0.01 -| NOV | National Oilwell Varco | BBG000BJX8C8 | usd | 1 | 0.01 -| CENT | Central Garden & Pet Co | BBG000BFD605 | usd | 1 | 0.01 -| DOCS | Doximity, Inc. | BBG0026ZJQX7 | usd | 1 | 0.01 -| HRL | Hormel Foods | BBG000BLF8D2 | usd | 1 | 0.01 -| LOPE | Grand Canyon Education Inc | BBG000FV28W9 | usd | 1 | 0.01 -| WHD | Cactus Inc | BBG00JRH1P95 | usd | 1 | 0.01 -| EBS | Emergent BioSolutions Inc | BBG000GW06J7 | usd | 1 | 0.01 -| RF | Regions Financial | BBG000Q3JN03 | usd | 1 | 0.01 -| ANDE | Andersons Inc | BBG000BF8CN3 | usd | 1 | 0.01 -| NTCO | Natura & Co Holding S.A. | BBG00R4ZKPN5 | usd | 1 | 0.01 -| LENT | Лента | BBG0063FKTD9 | rub | 1 | 0.5 -| NPK | National Presto Industries Inc | BBG000BQ4GG2 | usd | 1 | 0.01 -| USB | US Bancorp | BBG000FFDM15 | usd | 1 | 0.01 -| EVT@DE | Evotec AG | BBG000C23DD5 | eur | 1 | 0.01 -| GIS | General Mills | BBG000BKCFC2 | usd | 1 | 0.01 -| FELE | Franklin Electric Co | BBG000BJGGV8 | usd | 1 | 0.01 -| CDW | CDW Corp | BBG001P63B80 | usd | 1 | 0.01 -| HCSG | Healthcare Services Group Inc | BBG000BKYVF0 | usd | 1 | 0.01 -| STWD | Starwood Property Trust REIT | BBG000M1J270 | usd | 1 | 0.01 -| ALLE | Allegion | BBG003PS7JV1 | usd | 1 | 0.01 -| GCHE | Группа Черкизово | BBG000RTHVK7 | rub | 1 | 0.5 -| BKU | BankUnited, Inc. | BBG000PQPCM6 | usd | 1 | 0.01 -| GCP | GCP Applied Technologies Inc | BBG0082W8Q12 | usd | 1 | 0.01 -| ZIMV | ZimVie | BBG014630587 | usd | 1 | 0.01 -| VNA@DE | Vonovia SE | BBG000BT0ZM1 | eur | 1 | 0.01 -| BNGO | Bionano Genomics, Inc. | BBG001KWWRS9 | usd | 1 | 0.01 -| HSKA | Heska Corp | BBG000BWFH48 | usd | 1 | 0.01 -| HALO | Halozyme Therapeutics Inc | BBG000CZ8W54 | usd | 1 | 0.01 -| JNJ | Johnson & Johnson | BBG000BMHYD1 | usd | 1 | 0.01 -| AQUA | Русская аквакультура | BBG000W325F7 | rub | 1 | 0.5 -| BLNG | Белон | BBG000VQWH86 | rub | 100 | 0.005 -| MSNG | Мосэнерго | BBG004S687W8 | rub | 1000 | 0.0005 -| AIN | Albany International Corp. | BBG000BRWWH3 | usd | 1 | 0.01 -| CNMD | CONMED Corporation | BBG000BFZVH8 | usd | 1 | 0.01 -| SHI | Sinopec Shanghai Petrochemical | BBG000BHR1H9 | usd | 1 | 0.01 -| AIT | Applied Industrial Technologies | BBG000BBHHP9 | usd | 1 | 0.01 -| CHCO | City Holding Company | BBG000BFJFX3 | usd | 1 | 0.01 -| TATNP | Татнефть - привилегированные акции | BBG004S68829 | rub | 1 | 0.1 -| KR | Kroger | BBG000BMY992 | usd | 1 | 0.01 -| MKTX | MarketAxess Holdings Inc | BBG000BJBZ23 | usd | 1 | 0.01 -| PLD | Prologis REIT | BBG000B9Z0J8 | usd | 1 | 0.01 -| VMEO | Vimeo | BBG00ZNSSKP3 | usd | 1 | 0.01 -| SNGS | Сургутнефтегаз | BBG0047315D0 | rub | 100 | 0.005 -| HOOD | Robinhood Markets, Inc. | BBG008NMBXN8 | usd | 1 | 0.01 -| MLM | Martin Marietta Materials | BBG000BGYMH7 | usd | 1 | 0.01 -| TJX | TJX | BBG000BV8DN6 | usd | 1 | 0.01 -| THRM | Gentherm Inc | BBG000BQLM34 | usd | 1 | 0.01 -| DOW | Dow Inc | BBG00BN96922 | usd | 1 | 0.01 -| MNST | Monster Beverage | BBG008NVB1C0 | usd | 1 | 0.01 -| BUD | Anheuser-Busch InBev | BBG000RYC984 | usd | 1 | 0.01 -| BAND | Bandwidth Inc | BBG001K003W2 | usd | 1 | 0.01 -| NXPI | NXP Semiconductors NV | BBG000BND699 | usd | 1 | 0.01 -| EXAS | Exact Sciences Corp | BBG000CWL0F5 | usd | 1 | 0.01 -| ETR | Entergy Corporation | BBG000C1FQS9 | usd | 1 | 0.01 -| JELD | JELD-WEN Holding Inc | BBG0019GM953 | usd | 1 | 0.01 -| ZBH | Zimmer Biomet Holdings | BBG000BKPL53 | usd | 1 | 0.01 -| WISH | ContextLogic | BBG006DZTJ56 | usd | 1 | 0.01 -| CMCSA | Comcast | BBG000BFT2L4 | usd | 1 | 0.01 -| ALNY | Alnylam Pharmaceuticals Inc | BBG000BFGNJ5 | usd | 1 | 0.01 -| TCMD | Tactile Systems Technology Inc | BBG001B12Z39 | usd | 1 | 0.01 -| CSX | CSX Corp | BBG000BGJRC8 | usd | 1 | 0.01 -| CCL | Carnival | BBG000BF6LY3 | usd | 1 | 0.01 -| LASR | nLight Inc | BBG0020BCPX5 | usd | 1 | 0.01 -| TMHC | Taylor Morrison Home Corp | BBG003PGJHP5 | usd | 1 | 0.01 -| EPC | Edgewell Personal Care Co | BBG000BRW644 | usd | 1 | 0.01 -| TGKA | ТГК-1 | BBG000QFH687 | rub | 100000 | 2.0000000000000003e-06 -| GDEV | Nexters Inc | BBG00Z5KBW72 | usd | 1 | 0.01 -| AMWD | American Woodmark Corp | BBG000BBX657 | usd | 1 | 0.01 -| UPWK | Upwork Inc | BBG00FBJ6390 | usd | 1 | 0.01 -| ADBE | Adobe | BBG000BB5006 | usd | 1 | 0.01 -| NATI | National Instruments | BBG000DZK6N6 | usd | 1 | 0.01 -| RDY | Dr. Reddy's Laboratories | BBG000NJ96L6 | usd | 1 | 0.01 -| TOST | Toast | BBG00BTJVK94 | usd | 1 | 0.01 -| KMB | Kimberly-Clark | BBG000BMW2Z0 | usd | 1 | 0.01 -| TNL | Travel + Leisure Co. | TBG000PV2L86 | usd | 1 | 0.01 -| ALV@DE | Allianz SE | BBG000BBFBD7 | eur | 1 | 0.01 -| EGP | EastGroup Properties REIT | BBG000BHRBT4 | usd | 1 | 0.01 -| JNPR | Juniper Networks | BBG000BY33P5 | usd | 1 | 0.01 -| GSKY | GreenSky Inc | BBG00KT2SCV8 | usd | 1 | 0.01 -| USFD | US Foods Holding Corp | BBG00C6H6D40 | usd | 1 | 0.01 -| SWCH | Switch Inc | BBG00HPDM5Z2 | usd | 1 | 0.01 -| PRGS | Progress Software Corp | BBG000C4QP94 | usd | 1 | 0.01 -| VKCO | VK | BBG00178PGX3 | rub | 1 | 0.2 -| ATRA | Atara Biotherapeutics Inc | BBG005Q3MQY4 | usd | 1 | 0.01 -| NEU | NewMarket Corp | BBG000BJ5SS8 | usd | 1 | 0.01 -| STOR | STORE Capital Corp REIT | BBG00265T6Q4 | usd | 1 | 0.01 -| CWST | Casella Waste Systems | BBG000BT0J38 | usd | 1 | 0.01 -| SAVA | Cassava Sciences | BBG000BK9YW3 | usd | 1 | 0.01 -| URI | United Rentals | BBG000BXMFC3 | usd | 1 | 0.01 -| GL | Globe Life Inc | BBG000BVD6X4 | usd | 1 | 0.01 -| TDY | Teledyne Technologies Inc | BBG000BMT9T6 | usd | 1 | 0.01 -| RNFT | РуссНефть | BBG00F9XX7H4 | rub | 1 | 0.2 -| HAE | Haemonetics Corp | BBG000C7TF41 | usd | 1 | 0.01 -| PSA | Public Storage REIT | BBG000BPPN67 | usd | 1 | 0.01 -| ZYXI | Zynex Inc | BBG000BJBXZ2 | usd | 1 | 0.01 -| CBRL | Cracker Barrel Old Country Sto | BBG000BF33K1 | usd | 1 | 0.01 -| AXGN | Axogen Inc | BBG000BN46R9 | usd | 1 | 0.01 -| MU | Micron Technology | BBG000C5Z1S3 | usd | 1 | 0.01 -| AKRN | Акрон | BBG004S688G4 | rub | 1 | 2. -| PEAK | Healthpeak Properties REIT | BBG000BKYDP9 | usd | 1 | 0.01 -| POSH | Poshmark | BBG0029ZBN50 | usd | 1 | 0.01 -| DCI | Donaldson Co | BBG000BGZP70 | usd | 1 | 0.01 -| CNXN | PC Connection Inc | BBG000BX74M4 | usd | 1 | 0.01 -| MC | Moelis & Co | BBG000RNBH63 | usd | 1 | 0.01 -| UA | Under Armour (C) | BBG009DTD8H2 | usd | 1 | 0.01 -| AGRO | РусАгро | BBG007N0Z367 | rub | 1 | 0.2 -| GTLB | GitLab | BBG00DHTYPH8 | usd | 1 | 0.01 -| TOL | Toll Brothers Inc | BBG000BVHBM1 | usd | 1 | 0.01 -| DNOW | NOW Inc | BBG005BLN209 | usd | 1 | 0.01 -| PAYX | Paychex Inc | BBG000BQSQ38 | usd | 1 | 0.01 -| CYTK | Cytokinetics | BBG000F0R4N9 | usd | 1 | 0.01 -| ATVI | Activision Blizzard | BBG000CVWGS6 | usd | 1 | 0.01 -| STAG | STAG Industrial REIT | BBG000BGLFP7 | usd | 1 | 0.01 -| DIOD | Diodes Inc | BBG000G25P51 | usd | 1 | 0.01 -| Y | Alleghany Corp | BBG000BX6BJ3 | usd | 1 | 0.01 -| CRSR | Corsair Gaming Inc | BBG00HMSHL83 | usd | 1 | 0.01 -| VCRA | Vocera Communications Inc | BBG00179VSY7 | usd | 1 | 0.01 -| BEAM | Beam Therapeutics | BBG00KXC8646 | usd | 1 | 0.01 -| NIC | Nicolet Bankshares | BBG000QK0TG5 | usd | 1 | 0.01 -| CTVA | Corteva Inc | BBG00BN969C1 | usd | 1 | 0.01 -| DRE | Duke Realty REIT | BBG000BHD8S7 | usd | 1 | 0.01 -| ABNB | Airbnb, Inc | BBG001Y2XS07 | usd | 1 | 0.01 -| LRN | Stride, Inc | BBG000QSXPZ9 | usd | 1 | 0.01 -| OSK | Oshkosh Corporation | BBG000CC53X1 | usd | 1 | 0.01 -| HAL | Halliburton | BBG000BKTFN2 | usd | 1 | 0.01 -| YELP | Yelp Inc | BBG000Q2HM09 | usd | 1 | 0.01 -| LRCX | Lam Research | BBG000BNFLM9 | usd | 1 | 0.01 -| TNC | Tennant Company | BBG000JCZJS2 | usd | 1 | 0.01 -| ESE | ESCO Technologies Inc. | BBG000C4S3P3 | usd | 1 | 0.01 -| BFAM | Bright Horizons Family Solutio | BBG003LFWP05 | usd | 1 | 0.01 -| ALGN | Align Technology | BBG000BRNLL2 | usd | 1 | 0.01 -| BA | BOEING | BBG000BCSST7 | usd | 1 | 0.01 -| FATE | Fate Therapeutics Inc | BBG000QP35H2 | usd | 1 | 0.01 -| BLI | Berkeley Lights | BBG00HJ8K617 | usd | 1 | 0.01 -| STLA | Stellantis N.V. | BBG0078ZLDG9 | usd | 1 | 0.01 -| PACB | Pacific Biosciences of California | BBG000QKXH20 | usd | 1 | 0.01 -| T | AT&T | BBG000BSJK37 | usd | 1 | 0.01 -| BOSS@DE | HUGO BOSS AG | BBG000BD0GG5 | eur | 1 | 0.01 -| KMAZ | КАМАЗ | BBG000LNHHJ9 | rub | 10 | 0.1 -| VSCO | Victorias Secret & Co. | BBG01103B471 | usd | 1 | 0.01 -| RWE@DE | RWE AG | BBG000BBQ209 | eur | 1 | 0.01 -| STNE | StoneCo | BBG00M4ZQDK0 | usd | 1 | 0.01 -| EXEL | Exelixis Inc | BBG000BQ4WF8 | usd | 1 | 0.01 -| REGN | Regeneron Pharmaceuticals | BBG000C734W3 | usd | 1 | 0.01 -| AMED | Amedisys Inc | BBG000B9ZV28 | usd | 1 | 0.01 -| BDC | Belden Inc | BBG000Q4XNV1 | usd | 1 | 0.01 -| NLMK@GS | Novolipetsk Steel PJSC | BBG000PR0PJ6 | usd | 1 | 0.01 -| CEG | Constellation Energy | BBG014KFRNP7 | usd | 1 | 0.01 -| LGND | Ligand Pharmaceuticals Inc | BBG000BKF014 | usd | 1 | 0.01 -| KBH | KB Home | BBG000BMLWX8 | usd | 1 | 0.01 -| WLK | Westlake Corporation | BBG000PXZFW2 | usd | 1 | 0.01 -| CIAN | АДР Циан | BBG012YQ6P43 | rub | 1 | 0.2 -| RTX | Raytheon Technologies | BBG000BW8S60 | usd | 1 | 0.01 -| BH | Biglari Holdings Inc | BBG00JPRDQH1 | usd | 1 | 0.01 -| OGKB | Вторая генерирующая компания оптового рынка электроэнергии | BBG000RK52V1 | rub | 1000 | 0.0001 -| CHDN | Churchill Downs Inc | BBG000BGXMG9 | usd | 1 | 0.01 -| TTCF | Tattooed Chef, Inc. | BBG00LN7Q496 | usd | 1 | 0.01 -| DD | DuPont de Nemours Inc | BBG00BN961G4 | usd | 1 | 0.01 -| STAA | STAAR Surgical Co | BBG000C4QB95 | usd | 1 | 0.01 -| SCL | Stepan Company | BBG000BSMFN2 | usd | 1 | 0.01 -| ARVL | Arrival | BBG00YFSF9D7 | usd | 1 | 0.01 -| FLT | FleetCor Technologies Inc | BBG000GPXKX9 | usd | 1 | 0.01 -| AWR | American States Water Co | BBG000F964B6 | usd | 1 | 0.01 -| AX | Axos Financial Inc | BBG000QPHD08 | usd | 1 | 0.01 -| ALC | Alcon | BBG00NPWH832 | usd | 1 | 0.01 -| RSTI | Российские сети | BBG004S682J4 | rub | 1000 | 0.0001 -| VRTV | Veritiv Corp | BBG005XZHR97 | usd | 1 | 0.01 -| HWM | Howmet Aerospace | BBG00DYNJGH9 | usd | 1 | 0.01 -| OLN | Olin Corp | BBG000BQHTV3 | usd | 1 | 0.01 -| CVX | Chevron | BBG000K4ND22 | usd | 1 | 0.01 -| CRVL | CorVel Corp | BBG000CVKZY0 | usd | 1 | 0.01 -| SHEN | Shenandoah Telecommunications | BBG000BTC2N0 | usd | 1 | 0.01 -| AERI | Aerie Pharmaceuticals Inc | BBG001KJ7WJ5 | usd | 1 | 0.01 -| FOX | Twenty-First Century Fox | BBG00JHNKJY8 | usd | 1 | 0.01 -| CBSH | Commerce Bancshares | BBG000BF3G77 | usd | 1 | 0.01 -| PCG | PG&E | BBG000BQWPC5 | usd | 1 | 0.01 -| AYX | Alteryx Inc | BBG000BGZT72 | usd | 1 | 0.01 -| PEN | Penumbra Inc | BBG001BP92V1 | usd | 1 | 0.01 -| ALIT | Alight | BBG00H00J2N1 | usd | 1 | 0.01 -| GPN | Global Payments | BBG000CX0P89 | usd | 1 | 0.01 -| HBAN | Huntington Bancshares | BBG000BKWSR6 | usd | 1 | 0.01 -| LSTR | Landstar System | BBG000BB2KN0 | usd | 1 | 0.01 -| ALV | Autoliv, Inc. | BBG000BVLRY8 | usd | 1 | 0.01 -| BIO | Bio-Rad Laboratories Inc | BBG000DY28W5 | usd | 1 | 0.01 -| WBD | Warner Bros. Discovery | BBG011386VF4 | usd | 1 | 0.01 -| V | Visa | BBG000PSKYX7 | usd | 1 | 0.01 -| NVDA | NVIDIA | BBG000BBJQV0 | usd | 1 | 0.01 -| XNCR | Xencor Inc | BBG0026ZG4W0 | usd | 1 | 0.01 -| CWT | California Water Service | BBG000D8KTN6 | usd | 1 | 0.01 -| TATN | Татнефть | BBG004RVFFC0 | rub | 1 | 0.1 -| CLR | Continental Resources Inc | BBG000BHBGN6 | usd | 1 | 0.01 -| KWR | Quaker Chemical Corp | BBG000DZS2L9 | usd | 1 | 0.01 -| WU | Western Union | BBG000BB5373 | usd | 1 | 0.01 -| ARQT | Arcutis Biotherapeutics | BBG00QN8K4M4 | usd | 1 | 0.01 -| MGNT@GS | Magnit PJSC | BBG000VFBQG4 | usd | 1 | 0.01 -| KOPN | Kopin Corporation | BBG000C2SBZ8 | usd | 1 | 0.01 -| QGEN | QIAGEN NV | BBG000GTYWL7 | usd | 1 | 0.01 -| SAIC | Science Applications Internati | BBG003BW05K6 | usd | 1 | 0.01 -| ELAN | Elanco Animal Health Inc | BBG00LJYS1P8 | usd | 1 | 0.01 -| ZYNE | Zynerba Pharmaceuticals Inc | BBG007BBS8B7 | usd | 1 | 0.01 -| AEIS | Advanced Energy Industries Inc | BBG000FKMP26 | usd | 1 | 0.01 -| AOUT | American Outdoor Brands Inc | BBG00QV8FS02 | usd | 1 | 0.01 -| MARA | Marathon Digital Holdings | BBG001K7WBT8 | usd | 1 | 0.01 -| EOG | EOG Resources | BBG000BZ9223 | usd | 1 | 0.01 -| ODFL | Old Dominion Freight Line Inc | BBG000CHSS88 | usd | 1 | 0.01 -| MDGL | Madrigal Pharmaceuticals Inc | BBG000QS6NV8 | usd | 1 | 0.01 -| DNB | Dun & Bradstreet Holdings | BBG00VCZX9Z6 | usd | 1 | 0.01 -| PNC | PNC Financial Services | BBG000BRD0D8 | usd | 1 | 0.01 -| PMSBP | Пермэнергосбыт - акции привилегированные | BBG000MZL2S9 | rub | 10 | 0.2 -| HRTX | Heron Therapeutics Inc | BBG000G2GJT7 | usd | 1 | 0.01 -| DDS | Dillard's Inc | BBG000BS4MP5 | usd | 1 | 0.01 -| RTKM | Ростелеком | BBG004S682Z6 | rub | 10 | 0.01 -| ENTG | Entegris Inc | BBG000CTV4N4 | usd | 1 | 0.01 -| HRB | H&R Block | BBG000BLDV98 | usd | 1 | 0.01 -| CNS | Cohen & Steers Inc | BBG000BB0WG4 | usd | 1 | 0.01 -| POWI | Power Integrations Inc | BBG000BTT3D1 | usd | 1 | 0.01 -| MATX | Matson Inc | BBG000BBK401 | usd | 1 | 0.01 -| OSTK | Overstock.com | BBG000BF7BV7 | usd | 1 | 0.01 -| SNPS | Synopsys | BBG000BSFRF3 | usd | 1 | 0.01 -| BTI | British American Tobacco | BBG000BWPXQ8 | usd | 1 | 0.01 -| NKE | NIKE | BBG000C5HS04 | usd | 1 | 0.01 -| VSMO | ВСМПО-АВИСМА | BBG004S68CV8 | rub | 1 | 20. -| SCCO | Southern Copper Corp | BBG000BSHH72 | usd | 1 | 0.01 -| CARS | Cars.com Inc | BBG000HGTH33 | usd | 1 | 0.01 -| MGRC | McGrath RentCorp | BBG000BP02D2 | usd | 1 | 0.01 -| ZG | Zillow Group Inc | BBG000D13GN8 | usd | 1 | 0.01 -| HCAT | Health Catalyst | BBG00LDPZMS6 | usd | 1 | 0.01 -| UNP | Union Pacific Corporation | BBG000BW3299 | usd | 1 | 0.01 -| KEYS | Keysight Technologies Inc | BBG0059FN811 | usd | 1 | 0.01 -| CACI | CACI International | BBG000KQY8Y7 | usd | 1 | 0.01 -| AGNC | AGNC Investment REIT | BBG000TJ8XZ7 | usd | 1 | 0.01 -| G | Genpact Limited | BBG000RQBFV2 | usd | 1 | 0.01 -| MTRN | Materion Corp | BBG000BDTT76 | usd | 1 | 0.01 -| VC | Visteon Corp | BBG0016T3GQ0 | usd | 1 | 0.01 -| IPG | IPG | BBG000C90DH9 | usd | 1 | 0.01 -| AMTI | Applied Molecular Transport | BBG00R240WL5 | usd | 1 | 0.01 -| DLX | Deluxe Corp | BBG000BH6360 | usd | 1 | 0.01 -| STRA | Strategic Education Inc | BBG000GRZDV1 | usd | 1 | 0.01 -| PLAY | Dave & Buster's Entertainment Inc | BBG001WWJTK5 | usd | 1 | 0.01 -| PLCE | Children's Place Inc The | BBG000JK9DK4 | usd | 1 | 0.01 -| MVID | М.видео | BBG004S68CP5 | rub | 1 | 0.1 -| VAC | Marriott Vacations Worldwide Corporation | BBG001J2R5H3 | usd | 1 | 0.01 -| TPIC | TPI Composites Inc | BBG0016MQ7C5 | usd | 1 | 0.01 -| MKC | McCormick & Co | BBG000G6Y5W4 | usd | 1 | 0.01 -| SKLZ | Skillz Inc | BBG00RQ732B6 | usd | 1 | 0.01 -| HLNE | Hamilton Lane Incorporated | BBG00FX58Q66 | usd | 1 | 0.01 -| MUR | Murphy Oil | BBG000BPMH90 | usd | 1 | 0.01 -| SRI | Stoneridge Inc | BBG000BB9Q78 | usd | 1 | 0.01 -| ETN | Eaton Corporation | BBG000BJ3PD2 | usd | 1 | 0.01 -| LIN | Linde | BBG00GVR8YQ9 | usd | 1 | 0.01 -| BR | Broadridge Financial Solutions | BBG000PPFKQ7 | usd | 1 | 0.01 -| EPAM | EPAM Systems | BBG000MHTV89 | usd | 1 | 0.01 -| IT | Gartner | BBG000BB65D0 | usd | 1 | 0.01 -| MHK | Mohawk Industries | BBG000FLZN98 | usd | 1 | 0.01 -| PHM | PulteGroup | BBG000BR54L0 | usd | 1 | 0.01 -| ADM | Archer-Daniels-Midland Company | BBG000BB6WG8 | usd | 1 | 0.01 -| LCID | Lucid Group | BBG00W7F99V5 | usd | 1 | 0.01 -| JWN | Nordstrom | BBG000G8N9C6 | usd | 1 | 0.01 -| CRM | Salesforce | BBG000BN2DC2 | usd | 1 | 0.01 -| TGT | Target | BBG000H8TVT2 | usd | 1 | 0.01 -| ULTA | Ulta Beauty | BBG00FWQ4VD6 | usd | 1 | 0.01 -| LAZR | Luminar Technologies | BBG00MS90LK2 | usd | 1 | 0.01 -| OSUR | OraSure Technologies Inc | BBG000J3D1Y8 | usd | 1 | 0.01 -| PNTG | Pennant Group Inc | BBG00P33SY72 | usd | 1 | 0.01 -| AFX@DE | Carl Zeiss Meditec AG | BBG000C7X325 | eur | 1 | 0.01 -| FNKO | Funko Inc | BBG00HXSHDQ9 | usd | 1 | 0.01 -| MGA | Magna International Inc. | BBG000BNLPJ7 | usd | 1 | 0.01 -| FND | Floor & Decor Holdings Inc | BBG007GJ2F81 | usd | 1 | 0.01 -| IP | International Paper | BBG000BM5SR2 | usd | 1 | 0.01 -| HTHT | H World Group | BBG000QFPM65 | usd | 1 | 0.01 -| VLO | Valero Energy Corporation | BBG000BBGGQ1 | usd | 1 | 0.01 -| BMY | Bristol-Myers Squibb | BBG000DQLV23 | usd | 1 | 0.01 -| CVNA | Carvana Co | BBG00GCTWDJ3 | usd | 1 | 0.01 -| KAI | Kadant Inc. | BBG000BKRSZ3 | usd | 1 | 0.01 -| LFUS | Littelfuse | BBG000BGFGT8 | usd | 1 | 0.01 -| ROLO | Русолово | BBG004Z2RGW8 | rub | 100 | 0.005 -| PANW | Palo Alto Networks | BBG0014GJCT9 | usd | 1 | 0.01 -| AMBA | Ambarella | BBG001QZCPJ2 | usd | 1 | 0.01 -| MIDD | Middleby Corp The | BBG000DQN9R3 | usd | 1 | 0.01 -| PIKK | ПИК | BBG004S68BH6 | rub | 1 | 0.1 -| VIPS | Vipshop | BBG002NLDLV8 | usd | 1 | 0.01 -| CORR | CorEnergy Infrastructure REIT | BBG000CN80Y9 | usd | 1 | 0.01 -| AZPN | Aspen Technology | BBG017J18W74 | usd | 1 | 0.01 -| BX | Blackstone | BBG000BH0106 | usd | 1 | 0.01 -| NLMK | НЛМК | BBG004S681B4 | rub | 10 | 0.02 -| CNP | CenterPoint Energy | BBG000FDBX90 | usd | 1 | 0.01 -| CYBR | CyberArk Software Ltd | BBG006Q52QV2 | usd | 1 | 0.01 -| CPB | Campbell Soup | BBG000BG4202 | usd | 1 | 0.01 -| CPT | Camden Property REIT | BBG000BB0V03 | usd | 1 | 0.01 -| AIRC | Apartment Income REIT | BBG00XK3WVD0 | usd | 1 | 0.01 -| WRLD | World Acceptance Corp | BBG000C3G9J2 | usd | 1 | 0.01 -| SFIX | Stitch Fix | BBG0046L1KL9 | usd | 1 | 0.01 -| GHC | Graham Holdings Co | BBG000C3FGH9 | usd | 1 | 0.01 -| OII | Oceaneering International Inc | BBG000CPBCL8 | usd | 1 | 0.01 -| AKAM | Akamai Technologies | BBG000BJQWD2 | usd | 1 | 0.01 -| DNLI | Denali Therapeutics Inc | BBG008P7F869 | usd | 1 | 0.01 -| BILL | Bill.com Holdings Inc | BBG00QVJV6V4 | usd | 1 | 0.01 -| TWTR | Twitter | BBG000H6HNW3 | usd | 1 | 0.01 -| ANGI | Angi Inc | BBG00HVKH3Q0 | usd | 1 | 0.01 -| TDC | Teradata | BBG000R0L5J4 | usd | 1 | 0.01 -| ABMD | Abiomed Inc | BBG000C101X4 | usd | 1 | 0.01 -| AVA | Avista Corporation | BBG000BCNF74 | usd | 1 | 0.01 -| BAYN@DE | Bayer | BBG000BBWF85 | eur | 1 | 0.01 -| NOC | Northrop Grumman | BBG000BQ2C28 | usd | 1 | 0.01 -| TGKN | ТГК-14 | BBG000RG4ZQ4 | rub | 1000000| 1e-05 -| GLOB | Globant SA | BBG00564Y443 | usd | 1 | 0.01 -| APD | Air Products & Chemicals | BBG000BC4JJ4 | usd | 1 | 0.01 -| OFIX | Orthofix Medical Inc | BBG000G1C210 | usd | 1 | 0.01 -| BK | Bank of New York Mellon | BBG000BD8PN9 | usd | 1 | 0.01 -| DT | Dynatrace Inc | BBG00PNN7C40 | usd | 1 | 0.01 -| EXLS | ExlService Holdings Inc | BBG000NS3P30 | usd | 1 | 0.01 -| UMBF | UMB Financial | BBG000DD8WX1 | usd | 1 | 0.01 -| THO | Thor Industries Inc | BBG000BV6R84 | usd | 1 | 0.01 -| EVER | EverQuote | BBG00F17NDH7 | usd | 1 | 0.01 -| GT | Goodyear Tire & Rubber | BBG000BKNX95 | usd | 1 | 0.01 -| KEX | Kirby Corp | BBG000BMQCP6 | usd | 1 | 0.01 -| RGR | Sturm Ruger & Co Inc | BBG000C4FQG6 | usd | 1 | 0.01 -| HBI | Hanesbrands | BBG000D2ZTS8 | usd | 1 | 0.01 -| TRNFP | Транснефть - привилегированные акции | BBG00475KHX6 | rub | 1 | 50. -| AZEK | AZEK Company | BBG00RPJPN67 | usd | 1 | 0.01 -| INSG | Inseego Corp | BBG00DWX7QH0 | usd | 1 | 0.01 -| CGNT | Cognyte Software Ltd. | BBG00R0ZFHV4 | usd | 1 | 0.01 -| ZS | Zscaler Inc | BBG003338H34 | usd | 1 | 0.01 -| ADI | Analog Devices | BBG000BB6G37 | usd | 1 | 0.01 -| VMW | VMware | BBG000BC9938 | usd | 1 | 0.01 -| ITGR | Integer Holdings Corp | BBG000BW6JV4 | usd | 1 | 0.01 -| BIIB | Biogen | BBG000C17X76 | usd | 1 | 0.01 -| WK | Workiva Inc | BBG007BVZ8H9 | usd | 1 | 0.01 -| ESS | Essex Property REIT | BBG000CGJMB9 | usd | 1 | 0.01 -| DGX | Quest Diagnostics | BBG000BN84F3 | usd | 1 | 0.01 -| TNDM | Tandem Diabetes Care Inc | BBG0019V9M65 | usd | 1 | 0.01 -| DHR | Danaher | BBG000BH3JF8 | usd | 1 | 0.01 -| SPB@US | Spectrum Brands Holdings Inc | BBG000DS5588 | usd | 1 | 0.01 -| ENOV | Enovis | BBG000C5Z443 | usd | 1 | 0.01 -| ADSK | Autodesk | BBG000BM7HL0 | usd | 1 | 0.01 -| MEDP | Medpace Holdings Inc | BBG0065B7K59 | usd | 1 | 0.01 -| SO | Southern | BBG000BT9DW0 | usd | 1 | 0.01 -| RGNX | REGENXBIO Inc | BBG007Z9V591 | usd | 1 | 0.01 -| GWW | WW Grainger | BBG000BKR1D6 | usd | 1 | 0.01 -| MTSS | МТС | BBG004S681W1 | rub | 10 | 0.05 -| SPSC | SPS Commerce Inc | BBG000PZGB75 | usd | 1 | 0.01 -| KROT | Красный Октябрь | BBG000NLB2G3 | rub | 10 | 0.5 -| PATK | Patrick Industries Inc | BBG000BQSBB2 | usd | 1 | 0.01 -| D | Dominion Energy Inc | BBG000BGVW60 | usd | 1 | 0.01 -| XRX | Xerox | BBG00NNG2ZJ8 | usd | 1 | 0.01 -| LSRG | Группа ЛСР | BBG004S68C39 | rub | 1 | 0.2 -| SAGE | Sage Therapeutics Inc | BBG0025X16Y5 | usd | 1 | 0.01 -| BOKF | BOK Financial | BBG000CFZ003 | usd | 1 | 0.01 -| USNA | USANA Health Sciences Inc | BBG000BX28M0 | usd | 1 | 0.01 -| AORT | Artivion | BBG000BMLVJ6 | usd | 1 | 0.01 -| MRTX | Mirati Therapeutics Inc | BBG004TPGBP5 | usd | 1 | 0.01 -| YAKG | ЯТЭК | BBG002B298N6 | rub | 10 | 0.05 -| RYTM | Rhythm Pharmaceuticals Inc | BBG007DLZ601 | usd | 1 | 0.01 -| SYY | Sysco | BBG000BTVJ25 | usd | 1 | 0.01 -| FIS | Fidelity National Information | BBG000BK2F42 | usd | 1 | 0.01 -| AWI | Armstrong World Industries Inc | BBG000DW4LB1 | usd | 1 | 0.01 -| FRHC | Freedom Holding Corp/NV | BBG000N625H8 | usd | 1 | 0.01 -| SNGSP | Сургутнефтегаз - привилегированные акции | BBG004S681M2 | rub | 100 | 0.005 -| CERE | Cerevel Therapeutics Holdings | BBG00VCYVLH4 | usd | 1 | 0.01 -| UAA | Under Armour | BBG000BXM6V2 | usd | 1 | 0.01 -| CWEN | Clearway Energy | BBG008LJ4TF3 | usd | 1 | 0.01 -| CINF | Cincinnati Financial Corporation | BBG000BFPK65 | usd | 1 | 0.01 -| NMTP | НМТП | BBG004S68BR5 | rub | 100 | 0.005 -| CMP | Compass Minerals International | BBG000C42WS4 | usd | 1 | 0.01 -| VREX | Varex Imaging Corp | BBG00CZNLR47 | usd | 1 | 0.01 -| HII | Huntington Ingalls Industries Inc | BBG001KJ2HM9 | usd | 1 | 0.01 -| SOHU | Sohu.com | BBG00L2DB535 | usd | 1 | 0.01 -| FTCI | FTC Solar, Inc. | BBG0320C1036 | usd | 1 | 0.01 -| OGS | ONE Gas | BBG004WQKD07 | usd | 1 | 0.01 -| NTNX | Nutanix Inc | BBG001NDW1Z7 | usd | 1 | 0.01 -| MRNA | Moderna Inc | BBG003PHHZT1 | usd | 1 | 0.01 -| RNG | RingCentral Inc | BBG000J094P3 | usd | 1 | 0.01 -| MAGN | Магнитогорский металлургический комбинат | BBG004S68507 | rub | 10 | 0.005 -| XPO | XPO Logistics Inc | BBG000L5CJF3 | usd | 1 | 0.01 -| LSNGP | Ленэнерго - акции привилегированные | BBG000NLCCM3 | rub | 10 | 0.05 -| ABCL | AbCellera Biologics | BBG00LLW2MF2 | usd | 1 | 0.01 -| MAT | Mattel | BBG000BNNYW1 | usd | 1 | 0.01 -| MUV2@DE | Muenchener Rueckversicherungs-Gesellschaft AG | BBG000BD9FD1 | eur | 1 | 0.01 -| BYSI | BeyondSpring | BBG00F9YLST6 | usd | 1 | 0.01 -| DELL | Dell Technologies Inc | BBG00DW3SZS1 | usd | 1 | 0.01 -| TXT | Textron | BBG000BVVQQ8 | usd | 1 | 0.01 -| LNZLP | Лензолото - привилегированные акции | BBG000SR0YS4 | rub | 1 | 5. -| SPBE | СПБ Биржа | BBG002GHV6L9 | usd | 1 | 0.01 -| CALM | Cal-Maine Foods Inc | BBG000CDMJW6 | usd | 1 | 0.01 -| CLSK | Cleanspark Inc | BBG001MB89V6 | usd | 1 | 0.01 -| SATS | EchoStar Corporation | BBG000TGLV00 | usd | 1 | 0.01 -| RXRX | Recursion Pharmaceuticals, Inc. | BBG00PQ4XJ45 | usd | 1 | 0.01 -| PEGA | Pegasystems Inc | BBG000H1RYG7 | usd | 1 | 0.01 -| HAIN | Hain Celestial Group Inc | BBG000BQW085 | usd | 1 | 0.01 -| AVNS | Avanos Medical Inc | BBG005L86G05 | usd | 1 | 0.01 -| CPRT | Copart Inc | BBG000BM9RH1 | usd | 1 | 0.01 -| SIBN | Газпром нефть | BBG004S684M6 | rub | 1 | 0.05 -| NKNCP | Нижнекамскнефтехим - акции привилегированные | BBG000GQSVC2 | rub | 10 | 0.02 -| AVGO | Broadcom | BBG00KHY5S69 | usd | 1 | 0.01 -| EVK@DE | Evonik Industries AG | BBG001PD3L10 | eur | 1 | 0.01 -| ALXO | ALX Oncology Holdings Inc | BBG00VR8SDG8 | usd | 1 | 0.01 -| DVEC | ДЭК | BBG000V07CB8 | rub | 1000 | 0.001 -| NTRA | Natera inc | BBG001J1BQ86 | usd | 1 | 0.01 -| NSVZ | Наука-Связь | BBG002BCQK67 | rub | 10 | 0.5 -| SWKS | Skyworks Solutions | BBG000KLB4Q1 | usd | 1 | 0.01 -| TPH | Tri Pointe Homes, Inc. | BBG0016YQTR5 | usd | 1 | 0.01 -| AGCO | AGCO Corp | BBG000DCCZW2 | usd | 1 | 0.01 -| RENI | Ренессанс Страхование | BBG00QKJSX05 | rub | 10 | 0.01 -| CRWD | Crowdstrike Holdings Inc | BBG00BLYKS03 | usd | 1 | 0.01 -| TGKBP | ТГК-2 - акции привилегированные | BBG000Q7GJ60 | rub | 100000 | 1e-05 -| FLWS | 1-800-Flowers.com Inc | BBG000BBR9P6 | usd | 1 | 0.01 -| UPST | Upstart Holdings | BBG00PKCBY53 | usd | 1 | 0.01 -| ANF | Abercrombie & Fitch | BBG000H9G7X2 | usd | 1 | 0.01 -| PHOR@GS | PhosAgro PJSC | BBG001R16GZ5 | usd | 1 | 0.01 -| ATRO | Astronics Corp | BBG000BCLBY5 | usd | 1 | 0.01 -| TRU | TransUnion | BBG002Q7J5Z1 | usd | 1 | 0.01 -| HURN | Huron Consulting Group Inc | BBG000PV2M48 | usd | 1 | 0.01 -| NEM | Newmont Goldcorp Corporation | BBG000BPWXK1 | usd | 1 | 0.01 -| CE | Celanese Corp | BBG000JYP7L8 | usd | 1 | 0.01 -| GCO | Genesco Inc | BBG000BK5S78 | usd | 1 | 0.01 -| ADS@DE | Adidas | BBG000FR1RP5 | eur | 1 | 0.01 -| LW | Lamb Weston Holdings Inc | BBG003CVMLQ2 | usd | 1 | 0.01 -| TTE | TotalEnergies SE | BBG000CHZ857 | usd | 1 | 0.01 -| TENB | Tenable Holdings Inc | BBG00LBLCD02 | usd | 1 | 0.01 -| SRCL | Stericycle | BBG000H3FZM6 | usd | 1 | 0.01 -| LPSN | LivePerson Inc | BBG000BSV0W5 | usd | 1 | 0.01 -| FLO | Flowers Foods, Inc. | BBG000BB4D72 | usd | 1 | 0.01 -| EMR | Emerson Electric | BBG000BHX7N2 | usd | 1 | 0.01 -| GM | General Motors | BBG000NDYB67 | usd | 1 | 0.01 -| CMG | Chipotle Mexican Grill | BBG000QX74T1 | usd | 1 | 0.01 -| KIDS | OrthoPediatrics Corp | BBG00HFFRW39 | usd | 1 | 0.01 -| IPAR | Inter Parfums Inc | BBG000GCSWR5 | usd | 1 | 0.01 -| MRK@DE | Merck KGaA | BBG000BX4S53 | eur | 1 | 0.01 -| BDTX | Black Diamond Therapeutics Inc | BBG00MS4Y0W9 | usd | 1 | 0.01 -| STT | State Street | BBG000BKFBD7 | usd | 1 | 0.01 -| AVIR | Atea Pharmaceuticals | BBG00TZNCJ75 | usd | 1 | 0.01 -| PRTA | Prothena Corporation | BBG003PDKJF7 | usd | 1 | 0.01 -| ZUMZ | Zumiez Inc | BBG000PYX812 | usd | 1 | 0.01 -| FNF | Fidelity National Financial, Inc. | BBG006N7S6K9 | usd | 1 | 0.01 -| NVTK | НОВАТЭК | BBG00475KKY8 | rub | 1 | 0.2 -| IBP | Installed Building Products | BBG005TJKDZ6 | usd | 1 | 0.01 -| MMM | 3M Company | BBG000BP52R2 | usd | 1 | 0.01 -| FRPH | FRP Holdings Inc | BBG000HCVWW4 | usd | 1 | 0.01 -| SRDX | Surmodics Inc | BBG000BZ2QG2 | usd | 1 | 0.01 -| TGKD | Квадра | BBG000F6H7K3 | rub | 100000 | 5e-06 -| PWR | Quanta Services | BBG000BBL8V7 | usd | 1 | 0.01 -| EQIX | Equinix REIT | BBG000MBDGM6 | usd | 1 | 0.01 -| RGLD | Royal Gold | BBG000BS5170 | usd | 1 | 0.01 -| COFS | ChoiceOne Financial Services, Inc. | BBG000LLRNX3 | usd | 1 | 0.01 -| VRSN | VeriSign | BBG000BGKHZ3 | usd | 1 | 0.01 -| EAR | Eargo | BBG009HSTZ10 | usd | 1 | 0.01 -| MTLR | Мечел | BBG004S68598 | rub | 1 | 0.01 -| NRG | NRG Energy | BBG000D8RG11 | usd | 1 | 0.01 -| DDOG | Datadog Inc | BBG003NJHZT9 | usd | 1 | 0.01 -| CW | Curtiss-Wright | BBG000BGSPS5 | usd | 1 | 0.01 -| FORR | Forrester Research Inc | BBG000HGNYG8 | usd | 1 | 0.01 -| NLOK | NortonLifeLock Inc | BBG000BH2JM1 | usd | 1 | 0.01 -| TSVT | 2seventy bio | BBG00YV1J622 | usd | 1 | 0.01 -| ACLS | Axcelis Technologies | BBG000DW34S2 | usd | 1 | 0.01 -| AN | AutoNation | BBG000BBXLW4 | usd | 1 | 0.01 -| RKKE | РКК Энергия им.С.П.Королева | BBG000LWNRP3 | rub | 1 | 10. -| ITRI | Itron Inc | BBG000BD2167 | usd | 1 | 0.01 -| TWOU | 2U Inc | BBG001KS9450 | usd | 1 | 0.01 -| FSLR | First Solar | BBG000BFL116 | usd | 1 | 0.01 -| MKSI | MKS Instruments | BBG000BVMG26 | usd | 1 | 0.01 -| CTLT | Catalent Inc | BBG005XR47P5 | usd | 1 | 0.01 -| ACMR | ACM Research Inc | BBG00HPSG933 | usd | 1 | 0.01 -| C | Citigroup | BBG000FY4S11 | usd | 1 | 0.01 -| VICR | Vicor Corp | BBG000C3VHF1 | usd | 1 | 0.01 -| MDRX | Allscripts Healthcare Solution | BBG000BLDXH5 | usd | 1 | 0.01 -| PATH | UiPath, Inc. | BBG00GKS1G03 | usd | 1 | 0.01 -| SKY | Skyline Champion | BBG000BT2TP0 | usd | 1 | 0.01 -| BBY | Best Buy Co. | BBG000BCWCG1 | usd | 1 | 0.01 -| AIV | Apartment Investment & Management REIT | BBG000DD3510 | usd | 1 | 0.01 -| MTN | Vail Resorts Inc | BBG000BCMWM1 | usd | 1 | 0.01 -| CCMP | CMC Materials | BBG000BP3NW2 | usd | 1 | 0.01 -| PRFT | Perficient Inc | BBG000BVXFK6 | usd | 1 | 0.01 -| SAFM | Sanderson Farms Inc | BBG000BSHJ96 | usd | 1 | 0.01 -| DWNI@DE | Deutsche Wohnen SE | BBG000GM6Y84 | eur | 1 | 0.01 -| SAVE | Spirit Airlines Inc | BBG000BF6RQ9 | usd | 1 | 0.01 -| ITW | Illinois Tool Works | BBG000BMBL90 | usd | 1 | 0.01 -| TTC | Toro | BBG000BVQRY3 | usd | 1 | 0.01 -| EXPD | Expeditors | BBG000BJ5GK2 | usd | 1 | 0.01 -| ABT | Abbott | BBG000B9ZXB4 | usd | 1 | 0.01 -| MRKS | МРСК Сибири | BBG000VJMH65 | rub | 10000 | 0.0005 -| SLP | Simulations Plus Inc. | BBG000BS2ZD1 | usd | 1 | 0.01 -| FTCH | Farfetch Ltd | BBG00LSD4456 | usd | 1 | 0.01 -| TT | Trane Technologies | BBG000BM6788 | usd | 1 | 0.01 -| CHPT | ChargePoint Holdings | BBG00Q741Z16 | usd | 1 | 0.01 -| LFC | China Life Insurance | BBG000BBK4B9 | usd | 1 | 0.01 -| SMPL | Simply Good Foods Co | BBG00GVP5JL4 | usd | 1 | 0.01 -| IRM | Iron Mountain REIT | BBG000KCZPC3 | usd | 1 | 0.01 -| ZIP | ZipRecruiter Inc | BBG010JBYV98 | usd | 1 | 0.01 -| ORUP | Обувь России | BBG001BBGNS2 | rub | 10 | 0.02 -| HSY | Hershey | BBG000BLHRS2 | usd | 1 | 0.01 -| NCR | NCR Corp | BBG000BMXK89 | usd | 1 | 0.01 -| QDEL | QuidelOrtho Corp | BBG017TGV7M2 | usd | 1 | 0.01 -| ISRG | Intuitive Surgical | BBG000BJPDZ1 | usd | 1 | 0.01 -| MIME | Mimecast Limited | BBG00B6W26V8 | usd | 1 | 0.01 -| PINC | Premier Inc | BBG000G7QX50 | usd | 1 | 0.01 -| DXCM | DexCom Inc | BBG000QTF8K1 | usd | 1 | 0.01 -| ITT | ITT | BBG00CVQZQ96 | usd | 1 | 0.01 -| GVA | Granite Construction Inc | BBG000DVB833 | usd | 1 | 0.01 -| SWI | SolarWinds Corp | BBG00M1CKSK7 | usd | 1 | 0.01 -| CLH | Clean Harbors Inc | BBG000BFRRX8 | usd | 1 | 0.01 -| VZIO | VIZIO Holding Corp. | BBG00ZHDJVK4 | usd | 1 | 0.01 -| LYV | Live Nation Entertainment Inc | BBG000FQ7YR4 | usd | 1 | 0.01 -| PAY | Paymentus Holdings | BBG010MW0N84 | usd | 1 | 0.01 -| NFE | New Fortress Energy | BBG00MJH9LC4 | usd | 1 | 0.01 -| CR | Crane Holdings | BBG017BXPZ85 | usd | 1 | 0.01 -| WBA | Walgreens Boots Alliance | BBG000BWLMJ4 | usd | 1 | 0.01 -| OLED | Universal Display Corp | BBG000BLRP41 | usd | 1 | 0.01 -| MQ | Marqeta, Inc. | BBG0112Z87D8 | usd | 1 | 0.01 -| EYE | National Vision Holdings Inc | BBG00HVQF9K2 | usd | 1 | 0.01 -| LNN | Lindsay Corporation | BBG000FJS1S8 | usd | 1 | 0.01 -| CPNG | Coupang, Inc. | BBG00XMJRPQ8 | usd | 1 | 0.01 -| MRC | MRC Global Inc | BBG000BKLTM1 | usd | 1 | 0.01 -| OLLI | Ollie's Bargain Outlet Holding | BBG0098VVDT9 | usd | 1 | 0.01 -| MDU | MDU Resources Group, Inc. | BBG000BNX3R4 | usd | 1 | 0.01 -| BWXT | BWX Technologies | BBG000D86F25 | usd | 1 | 0.01 -| TMO | Thermo Fisher Scientific | BBG000BVDLH9 | usd | 1 | 0.01 -| SXI | Standex International Corp | BBG000BTT5B8 | usd | 1 | 0.01 -| EXPO | Exponent, Inc. | BBG000F31Z34 | usd | 1 | 0.01 -| SAIL | SailPoint Technologies Holdings | BBG00J0BBZL0 | usd | 1 | 0.01 -| CCS | Century Communities | BBG006G412Q6 | usd | 1 | 0.01 -| CRS | Carpenter Technology Corp | BBG000BGCQT9 | usd | 1 | 0.01 -| EVRG | Evergy, Inc | BBG00H433CR2 | usd | 1 | 0.01 -| PMSB | Пермэнергосбыт | BBG000MZL0Y6 | rub | 10 | 0.1 -| RPM | RPM International Inc | BBG000DCNK80 | usd | 1 | 0.01 -| CLDT | Chatham Lodging REIT | BBG000PT6BR8 | usd | 1 | 0.01 -| ACN | Accenture | BBG000D9D830 | usd | 1 | 0.01 -| PEP | PepsiCo | BBG000DH7JK6 | usd | 1 | 0.01 -| FESH | ДВМП | BBG000QF1Q17 | rub | 100 | 0.01 -| COST | Costco Wholesale | BBG000F6H8W8 | usd | 1 | 0.01 -| POLY | Polymetal | BBG004PYF2N3 | rub | 1 | 0.1 -| AMSF | AMERISAFE, Inc. | BBG000Q0JJQ0 | usd | 1 | 0.01 -| CBOM | МКБ | BBG009GSYN76 | rub | 100 | 0.001 -| RDFN | Redfin Corp | BBG001Q7HP63 | usd | 1 | 0.01 -| SP | SP Plus Corp | BBG000BJ91B1 | usd | 1 | 0.01 -| GPC | Genuine Parts | BBG000BKL348 | usd | 1 | 0.01 -| J | Jacobs Engineering | BBG000BMFFQ0 | usd | 1 | 0.01 -| JOBS | 51job | BBG000BJD1D4 | usd | 1 | 0.01 -| SBER@GS | Sberbank of Russia PJSC | BBG001VBZR00 | usd | 1 | 0.01 -| MSTT | Мостотрест | BBG004S68DD6 | rub | 10 | 0.05 -| ASAN | Asana | BBG00WYHL732 | usd | 1 | 0.01 -| LLY | Eli Lilly & Co | BBG000BNBDC2 | usd | 1 | 0.01 -| ESTC | Elastic NV | BBG00LWZDYB9 | usd | 1 | 0.01 -| MYRG | MYR Group Inc | BBG000BC7VW9 | usd | 1 | 0.01 -| ALLK | Allakos Inc | BBG003QBJKN0 | usd | 1 | 0.01 -| DASB | Дагестанская энергосбытовая компания | BBG000LWVHN8 | rub | 1000 | 0.0001 -| RUN | Sunrun Inc | BBG0025XVR85 | usd | 1 | 0.01 -| KFY | Korn Ferry | BBG000C5QMB5 | usd | 1 | 0.01 -| MANT | ManTech International Corp VA | BBG000BGF8B5 | usd | 1 | 0.01 -| AXTA | Axalta Coating Systems | BBG0060CPLJ5 | usd | 1 | 0.01 -| BC | Brunswick Corp DE | BBG000BCWSS3 | usd | 1 | 0.01 -| BCPC | Balchem Corp | BBG000BCY878 | usd | 1 | 0.01 -| KIM | Kimco Realty REIT | BBG000CN3S73 | usd | 1 | 0.01 -| NSP | InsperIty Inc | BBG000BJ41X2 | usd | 1 | 0.01 -| ENPH | Enphase Energy Inc | BBG001R3MNY9 | usd | 1 | 0.01 -| IRTC | iRhythm Technologies | BBG001J19V24 | usd | 1 | 0.01 -| NTAP | NetApp | BBG000FP1N32 | usd | 1 | 0.01 -| CFR | Cullen/Frost Bankers | BBG000C2PL98 | usd | 1 | 0.01 -| AMEH | Apollo Medical Holdings | BBG000H7ZK57 | usd | 1 | 0.01 -| PTON | Peloton Interactive Inc | BBG00JG0FFZ2 | usd | 1 | 0.01 -| FORM | FormFactor Inc | BBG000D1Y3P1 | usd | 1 | 0.01 -| PRI | Primerica | BBG000T8ZF80 | usd | 1 | 0.01 -| COLM | Columbia Sportswear Company | BBG000BKKQ84 | usd | 1 | 0.01 -| WEC | WEC Energy Group | BBG000BWP7D9 | usd | 1 | 0.01 -| ARCT | Arcturus Therapeutics Holdings | BBG00NNW8JK1 | usd | 1 | 0.01 -| SHOP | Shopify Inc | BBG008HBD923 | usd | 1 | 0.01 -| GOSS | Gossamer Bio Inc | BBG00MVWLLM2 | usd | 1 | 0.01 -| MRKC | Россети Центр | BBG000VH7TZ8 | rub | 1000 | 0.0002 -| LTHM | Livent Corporation | BBG00LV3NRG0 | usd | 1 | 0.01 -| TGTX | TG Therapeutics | BBG000FVZQY1 | usd | 1 | 0.01 -| INDB | Independent Bank Corp | BBG000BM0597 | usd | 1 | 0.01 -| HUM | Humana | BBG000BLKK03 | usd | 1 | 0.01 -| VVV | Valvoline | BBG003DNHV56 | usd | 1 | 0.01 -| CSCO | Cisco | BBG000C3J3C9 | usd | 1 | 0.01 -| WRBY | Warby Parker | BBG005DWN8K8 | usd | 1 | 0.01 -| IRAO | Интер РАО ЕЭС | BBG004S68473 | rub | 100 | 0.0005 -| REG | Regency Centers REIT | BBG000BL46Q4 | usd | 1 | 0.01 -| NRIX | Nurix Therapeutics Inc | BBG00SDJ8M78 | usd | 1 | 0.01 -| K | Kellogg | BBG000BMKDM3 | usd | 1 | 0.01 -| VRSK | Verisk Analytics | BBG000BCZL41 | usd | 1 | 0.01 -| CNTL | Центральный Телеграф | BBG000BBV4M5 | rub | 100 | 0.02 -| KAZT | КуйбышевАзот | BBG002B9MYC1 | rub | 10 | 0.2 -| HES | Hess | BBG000BBD070 | usd | 1 | 0.01 -| HYLN | Hyliion Holdings Corp. | BBG00N9MJTZ9 | usd | 1 | 0.01 -| YEXT | Yext Inc | BBG001MKZGY7 | usd | 1 | 0.01 -| ENDP | Endo International PLC | BBG000C0HQ54 | usd | 1 | 0.01 -| NOK | Nokia | BBG000BNGBW9 | usd | 1 | 0.01 -| FCX | Freeport-McMoRan | BBG000BJDB15 | usd | 1 | 0.01 -| MGY | Magnolia Oil & Gas Corp | BBG00GNC8DL2 | usd | 1 | 0.01 -| AFLT | Аэрофлот | BBG004S683W7 | rub | 10 | 0.02 -| SDGR | Schrodinger Inc | BBG000T88BN2 | usd | 1 | 0.01 -| UNM | Unum | BBG000BW2QX0 | usd | 1 | 0.01 -| BAS@DE | BASF SE | BBG000BBVVK7 | eur | 1 | 0.01 -| ASGN | ASGN Inc | BBG000CRN8N8 | usd | 1 | 0.01 -| AER | AerCap Holdings | BBG000Q9FZL4 | usd | 1 | 0.01 -| CNNE | Cannae Holdings | BBG00GXRNJP4 | usd | 1 | 0.01 -| RIDE | Lordstown Motors Corp | BBG00N6NL712 | usd | 1 | 0.01 -| ABRD | АбрауДюрсо | BBG002W2FT69 | rub | 10 | 0.5 -| 1 | CK Hutchison Holdings | BBG0087DLDQ6 | hkd | 10 | 0.05 -| CF | CF Industries Holdings | BBG000BWJFZ4 | usd | 1 | 0.01 -| NVEE | NV5 Global Inc | BBG005BT60Y8 | usd | 1 | 0.01 -| AMH | American Homes 4 Rent REIT | BBG003NXJNH6 | usd | 1 | 0.01 +| Ticker | Full name | FIGI | Cur | Lot | Step | +|--------------|-----------------------------------------------------------|--------------|-----|---------|------------| +| PKI | PerkinElmer | BBG000FXW512 | usd | 1 | 0.01 | +| APA | APA Corporation | BBG00YTS96G2 | usd | 1 | 0.01 | +| CNX | CNX Resources Corporation | BBG000CKVSG8 | usd | 1 | 0.01 | +| SLM | SLM Corp | BBG000BBCQD7 | usd | 1 | 0.01 | +| SWX | Southwest Gas Holdings | BBG00FWP4JW4 | usd | 1 | 0.01 | +| ACLS | Axcelis Technologies | BBG000DW34S2 | usd | 1 | 0.01 | +| LPL | LG Display | BBG000FJ0RK9 | usd | 1 | 0.01 | +| CAG | Conagra Brands | BBG000BDXGP9 | usd | 1 | 0.01 | +| DSKY | Детский Мир | BBG000BN56Q9 | rub | 10 | 0.02 | +| WW | WW International, Inc. | BBG000DY6735 | usd | 1 | 0.01 | +| MLKN | MillerKnoll | BBG000BP46T2 | usd | 1 | 0.01 | +| BAS@DE | BASF SE | BBG000BBVVK7 | eur | 1 | 0.01 | +| MDT | Medtronic | BBG000BNWG87 | usd | 1 | 0.01 | +| AJG | Arthur J. Gallagher & Co | BBG000BBHXQ3 | usd | 1 | 0.01 | +| RIO | Rio Tinto | BBG000FD28T3 | usd | 1 | 0.01 | +| JOBS | 51job | BBG000BJD1D4 | usd | 1 | 0.01 | +| GWRE | Guidewire Software Inc | BBG001C7PM75 | usd | 1 | 0.01 | +| MAR | Marriott International | BBG000BGD7W6 | usd | 1 | 0.01 | +| ENPG | En+ Group | BBG000RMWQD4 | rub | 1 | 0.5 | +| PAYC | Paycom Software Inc | BBG0064N0ZZ5 | usd | 1 | 0.01 | +| TTCF | Tattooed Chef, Inc. | BBG00LN7Q496 | usd | 1 | 0.01 | +| NCNO | nCino | BBG014GJ8XH2 | usd | 1 | 0.01 | +| CHCO | City Holding Company | BBG000BFJFX3 | usd | 1 | 0.01 | +| DNLI | Denali Therapeutics Inc | BBG008P7F869 | usd | 1 | 0.01 | +| POLY | Polymetal | BBG004PYF2N3 | rub | 1 | 0.1 | +| MTD | Mettler Toledo | BBG000BZCKH3 | usd | 1 | 0.01 | +| THS | TreeHouse Foods Inc | BBG000GQGJT4 | usd | 1 | 0.01 | +| HUBB | Hubbell | BBG000BLK267 | usd | 1 | 0.01 | +| NWSA | News Corp (A) | BBG0035LY913 | usd | 1 | 0.01 | +| AVIR | Atea Pharmaceuticals | BBG00TZNCJ75 | usd | 1 | 0.01 | +| APH | Amphenol | BBG000B9YJ35 | usd | 1 | 0.01 | +| NKNCP | Нижнекамскнефтехим - акции привилегированные | BBG000GQSVC2 | rub | 10 | 0.02 | +| AVT | Avnet | BBG000BCPB71 | usd | 1 | 0.01 | +| DPZ | Domino's Pizza Inc | BBG000P458P3 | usd | 1 | 0.01 | +| ZIM | ZIM Integrated Shipping Services | BBG00YQ7XR05 | usd | 1 | 0.01 | +| GTN | Gray Television Inc | BBG000DSQLQ0 | usd | 1 | 0.01 | +| C | Citigroup | BBG000FY4S11 | usd | 1 | 0.01 | +| GVA | Granite Construction Inc | BBG000DVB833 | usd | 1 | 0.01 | +| R | Ryder System | BBG000BRVP70 | usd | 1 | 0.01 | +| IP | International Paper | BBG000BM5SR2 | usd | 1 | 0.01 | +| KEX | Kirby Corp | BBG000BMQCP6 | usd | 1 | 0.01 | +| ACH | Aluminum Corp of China | BBG000CMRVH1 | usd | 1 | 0.01 | +| EPC | Edgewell Personal Care Co | BBG000BRW644 | usd | 1 | 0.01 | +| COUP | Coupa Software Inc | BBG001J4BCN4 | usd | 1 | 0.01 | +| GILD | GILEAD | BBG000CKGBP2 | usd | 1 | 0.01 | +| WGO | Winnebago Industries Inc | BBG000BWS3F3 | usd | 1 | 0.01 | +| BCRX | BioCryst Pharmaceuticals | BBG000BLYWX6 | usd | 1 | 0.01 | +| SLDB | Solid Biosciences | BBG00JN4FXG8 | usd | 1 | 0.01 | +| MLAB | Mesa Laboratories Inc | BBG000BP3PW7 | usd | 1 | 0.01 | +| WCN | Waste Connections | BBG000FLHZZ2 | usd | 1 | 0.01 | +| AMAT | Applied Materials | BBG000BBPFB9 | usd | 1 | 0.01 | +| INO | Inovio Pharmaceuticals | BBG000BK6YX5 | usd | 1 | 0.01 | +| HLT | Hilton | BBG0058KMH30 | usd | 1 | 0.01 | +| SNA | Snap-on | BBG000BT7JW9 | usd | 1 | 0.01 | +| VNT | Vontier Corporation | BBG00RRGSJR4 | usd | 1 | 0.01 | +| OGN | Organon & Co. | BBG00ZQRGW24 | usd | 1 | 0.01 | +| BMY | Bristol-Myers Squibb | BBG000DQLV23 | usd | 1 | 0.01 | +| AVTR | Avantor Inc | BBG00G2HHYD7 | usd | 1 | 0.01 | +| WTW | Willis Towers Watson | BBG000DB3KT1 | usd | 1 | 0.01 | +| APLE | Apple Hospitality REIT | BBG006473QX9 | usd | 1 | 0.01 | +| CHE | Chemed Corp | BBG000C19QW1 | usd | 1 | 0.01 | +| AMD | AMD | BBG000BBQCY0 | usd | 1 | 0.01 | +| RSTIP | Российские сети - акции привилегированные | BBG000KTF667 | rub | 1000 | 0.001 | +| BR | Broadridge Financial Solutions | BBG000PPFKQ7 | usd | 1 | 0.01 | +| ON | ON Semiconductor Corp | BBG000DV7MX4 | usd | 1 | 0.01 | +| NET | CloudFlare Inc | BBG001WMKHH5 | usd | 1 | 0.01 | +| CTVA | Corteva Inc | BBG00BN969C1 | usd | 1 | 0.01 | +| TGTX | TG Therapeutics | BBG000FVZQY1 | usd | 1 | 0.01 | +| CSGP | CoStar Group Inc | BBG000D7JKW9 | usd | 1 | 0.01 | +| TSCO | Tractor Supply | BBG000BLXZN1 | usd | 1 | 0.01 | +| SPOT | Spotify Technology SA | BBG003T4VFC2 | usd | 1 | 0.01 | +| PZZA | Papa John's International Inc | BBG000BFWF13 | usd | 1 | 0.01 | +| PODD | Insulet Corp | BBG000R7XX87 | usd | 1 | 0.01 | +| HAL | Halliburton | BBG000BKTFN2 | usd | 1 | 0.01 | +| DG | Dollar General | BBG000NV1KK7 | usd | 1 | 0.01 | +| DDS | Dillard's Inc | BBG000BS4MP5 | usd | 1 | 0.01 | +| GXO | GXO Logistics, Inc. | BBG00YDGX945 | usd | 1 | 0.01 | +| RH | RH | BBG002293PJ4 | usd | 1 | 0.01 | +| BWA | BorgWarner | BBG000BJ49H3 | usd | 1 | 0.01 | +| PNC | PNC Financial Services | BBG000BRD0D8 | usd | 1 | 0.01 | +| DOW | Dow Inc | BBG00BN96922 | usd | 1 | 0.01 | +| MUV2@DE | Muenchener Rueckversicherungs-Gesellschaft AG | BBG000BD9FD1 | eur | 1 | 0.01 | +| ZGNX | Zogenix Inc | BBG000VDC3G9 | usd | 1 | 0.01 | +| VXRT | Vaxart Inc | BBG000DR0RZ7 | usd | 1 | 0.01 | +| LCII | LCI Industries | BBG000DNLMB0 | usd | 1 | 0.01 | +| HAIN | Hain Celestial Group Inc | BBG000BQW085 | usd | 1 | 0.01 | +| IRM | Iron Mountain REIT | BBG000KCZPC3 | usd | 1 | 0.01 | +| FBHS | Fortune Brands Home & Security | BBG001B4BV87 | usd | 1 | 0.01 | +| FATE | Fate Therapeutics Inc | BBG000QP35H2 | usd | 1 | 0.01 | +| SLQT | SelectQuote | BBG000GTP1B6 | usd | 1 | 0.01 | +| F | Ford | BBG000BQPC32 | usd | 1 | 0.01 | +| SYNH | Syneos Health Inc | BBG0078Y1D92 | usd | 1 | 0.01 | +| CCXI | ChemoCentryx, Inc | BBG000PTSB12 | usd | 1 | 0.01 | +| ABM | ABM Industries | BBG000B9YYH7 | usd | 1 | 0.01 | +| WSO | Watsco Inc | BBG000DJN7L9 | usd | 1 | 0.01 | +| HUM | Humana | BBG000BLKK03 | usd | 1 | 0.01 | +| RIVN | Rivian Automotive | BBG00741Y1N2 | usd | 1 | 0.01 | +| ABC | AmerisourceBergen Corp | BBG000MDCQC2 | usd | 1 | 0.01 | +| CENTA | Central Garden & Pet Co | BBG000KTYB56 | usd | 1 | 0.01 | +| CVM | CEL SCI Corporation | BBG000H5G6L5 | usd | 1 | 0.01 | +| EW | Edwards Lifesciences | BBG000BRXP69 | usd | 1 | 0.01 | +| SSA@GS | Sistema PJSFC | BBG000G7B4C2 | usd | 1 | 0.01 | +| IGMS | IGM Biosciences Inc | BBG00PNR1BT2 | usd | 1 | 0.01 | +| SNY | Sanofi | BBG000BBD5N1 | usd | 1 | 0.01 | +| FLGT | Fulgent Genetics | BBG00DR7LTG2 | usd | 1 | 0.01 | +| BOH | Bank of Hawaii | BBG000C8D8G9 | usd | 1 | 0.01 | +| DXCM | DexCom Inc | BBG000QTF8K1 | usd | 1 | 0.01 | +| FAF | First American Financial Corporation | BBG000V78V75 | usd | 1 | 0.01 | +| AORT | Artivion | BBG000BMLVJ6 | usd | 1 | 0.01 | +| IRKT | Корпорация ИРКУТ | BBG000FWGSZ5 | rub | 100 | 0.02 | +| OVV | Ovintiv Inc. | BBG00R2NHQ65 | usd | 1 | 0.01 | +| BJ | BJs Wholesale Club Holdings, Inc. | BBG00FQ8T4G3 | usd | 1 | 0.01 | +| IRBT | iRobot Corp | BBG000HXJB21 | usd | 1 | 0.01 | +| VMC | Vulcan Materials | BBG000BWGYF8 | usd | 1 | 0.01 | +| NTAP | NetApp | BBG000FP1N32 | usd | 1 | 0.01 | +| MRKV | МРСК Волги | BBG000PKWCQ7 | rub | 10000 | 0.00005 | +| SMG | Scotts Miracle-Gro Co The | BBG000BT5PG5 | usd | 1 | 0.01 | +| ALE | ALLETE, Inc. | BBG000CYW7N5 | usd | 1 | 0.01 | +| BAH | Booz Allen Hamilton | BBG000R2YFG7 | usd | 1 | 0.01 | +| COHR | Coherent Inc | BBG000BG1DH3 | usd | 1 | 0.01 | +| WMT | Wal-Mart Stores | BBG000BWXBC2 | usd | 1 | 0.01 | +| TSN | Tyson Foods | BBG000DKCC19 | usd | 1 | 0.01 | +| RXRX | Recursion Pharmaceuticals, Inc. | BBG00PQ4XJ45 | usd | 1 | 0.01 | +| HPQ | HP | BBG000KHWT55 | usd | 1 | 0.01 | +| NTR | Nutrien | BBG00JM9XLN6 | usd | 1 | 0.01 | +| AOUT | American Outdoor Brands Inc | BBG00QV8FS02 | usd | 1 | 0.01 | +| RGLD | Royal Gold | BBG000BS5170 | usd | 1 | 0.01 | +| PAY | Paymentus Holdings | BBG010MW0N84 | usd | 1 | 0.01 | +| SAGE | Sage Therapeutics Inc | BBG0025X16Y5 | usd | 1 | 0.01 | +| BIGC | BigCommerce Holdings | BBG00W1PSSJ0 | usd | 1 | 0.01 | +| G | Genpact Limited | BBG000RQBFV2 | usd | 1 | 0.01 | +| GLW | Corning | BBG000BKFZM4 | usd | 1 | 0.01 | +| WLK | Westlake Corporation | BBG000PXZFW2 | usd | 1 | 0.01 | +| HEAR | Turtle Beach Corp | BBG000BM6N47 | usd | 1 | 0.01 | +| PLAN | Anaplan Inc | BBG002DZS299 | usd | 1 | 0.01 | +| QRTEA | Qurate Retail Inc | BBG000PCQQL6 | usd | 1 | 0.01 | +| CAT | Caterpillar | BBG000BF0K17 | usd | 1 | 0.01 | +| NEM | Newmont Goldcorp Corporation | BBG000BPWXK1 | usd | 1 | 0.01 | +| MIDD | Middleby Corp The | BBG000DQN9R3 | usd | 1 | 0.01 | +| YUMC | Yum China Holdings | BBG00B8N0HG1 | usd | 1 | 0.01 | +| LYFT | Lyft Inc | BBG004M9ZHX5 | usd | 1 | 0.01 | +| NLOK | NortonLifeLock Inc | BBG000BH2JM1 | usd | 1 | 0.01 | +| EGRX | Eagle Pharmaceuticals Inc | BBG005Y3XWH9 | usd | 1 | 0.01 | +| VSMO | ВСМПО-АВИСМА | BBG004S68CV8 | rub | 1 | 20 | +| CERE | Cerevel Therapeutics Holdings | BBG00VCYVLH4 | usd | 1 | 0.01 | +| AZTA | Azenta | BBG000DX9JV7 | usd | 1 | 0.01 | +| BDTX | Black Diamond Therapeutics Inc | BBG00MS4Y0W9 | usd | 1 | 0.01 | +| DIS | Walt Disney | BBG000BH4R78 | usd | 1 | 0.01 | +| WK | Workiva Inc | BBG007BVZ8H9 | usd | 1 | 0.01 | +| GDEV | Nexters Inc | BBG00Z5KBW72 | usd | 1 | 0.01 | +| STWD | Starwood Property Trust REIT | BBG000M1J270 | usd | 1 | 0.01 | +| SHI | Sinopec Shanghai Petrochemical | BBG000BHR1H9 | usd | 1 | 0.01 | +| SPR | Spirit AeroSystems Holdings | BBG000PRJ2Z9 | usd | 1 | 0.01 | +| BUD | Anheuser-Busch InBev | BBG000RYC984 | usd | 1 | 0.01 | +| FRME | First Merchants Corporation | BBG000BBSJ28 | usd | 1 | 0.01 | +| UNAC | Объединенная авиастроительная корпорация | BBG000Q7ZZY2 | rub | 1000 | 0.0005 | +| TPR | Tapestry | BBG000BY29C7 | usd | 1 | 0.01 | +| RSG | Republic Services | BBG000BPXVJ6 | usd | 1 | 0.01 | +| AI | C3.ai, Inc | BBG00Y6G6X31 | usd | 1 | 0.01 | +| MMC | Marsh & McLennan | BBG000BP4MH0 | usd | 1 | 0.01 | +| LSRG | Группа ЛСР | BBG004S68C39 | rub | 1 | 0.2 | +| NTRS | Northern Trust | BBG000BQ74K1 | usd | 1 | 0.01 | +| SKY | Skyline Champion | BBG000BT2TP0 | usd | 1 | 0.01 | +| BZUN | Baozun Inc | BBG008HNS333 | usd | 1 | 0.01 | +| FTCI | FTC Solar, Inc. | BBG0320C1036 | usd | 1 | 0.01 | +| SXI | Standex International Corp | BBG000BTT5B8 | usd | 1 | 0.01 | +| DRQ | Dril-Quip Inc | BBG000BVDBY2 | usd | 1 | 0.01 | +| ELS | Equity LifeStyle Properties REIT | BBG000BB7SX7 | usd | 1 | 0.01 | +| RHM@DE | Rheinmetall AG | BBG000BWT790 | eur | 1 | 0.01 | +| WTFC | Wintrust Financial | BBG000HD3DW5 | usd | 1 | 0.01 | +| PLXS | Plexus Corp | BBG000BRBX66 | usd | 1 | 0.01 | +| APPF | Appfolio Inc | BBG008GC8CP6 | usd | 1 | 0.01 | +| TT | Trane Technologies | BBG000BM6788 | usd | 1 | 0.01 | +| ILMN | Illumina | BBG000DSMS70 | usd | 1 | 0.01 | +| NXST | Nexstar Media Group Inc | BBG000DZJVH0 | usd | 1 | 0.01 | +| ARRY | Array Technologies | BBG001V4SF46 | usd | 1 | 0.01 | +| PSA | Public Storage REIT | BBG000BPPN67 | usd | 1 | 0.01 | +| COLD | Americold Realty Trust REIT | BBG000QF05R6 | usd | 1 | 0.01 | +| UPS | United Parcel Service | BBG000L9CV04 | usd | 1 | 0.01 | +| MBUU | Malibu Boats Inc | BBG005PXTR70 | usd | 1 | 0.01 | +| CDK | CDK Global | BBG006B6PVN9 | usd | 1 | 0.01 | +| ZBH | Zimmer Biomet Holdings | BBG000BKPL53 | usd | 1 | 0.01 | +| XP | XP Inc | BBG00QVJYGM9 | usd | 1 | 0.01 | +| BDC | Belden Inc | BBG000Q4XNV1 | usd | 1 | 0.01 | +| HSKA | Heska Corp | BBG000BWFH48 | usd | 1 | 0.01 | +| PPL | PPL | BBG000BRJL00 | usd | 1 | 0.01 | +| CABO | Cable One | BBG000F02T51 | usd | 1 | 0.01 | +| APPH | AppHarvest | BBG00VDGP717 | usd | 1 | 0.01 | +| FDX | FedEx | BBG000BJF1Z8 | usd | 1 | 0.01 | +| VRNS | Varonis Systems Inc | BBG001Y04TN6 | usd | 1 | 0.01 | +| CRL | Charles River Laboratories Int | BBG000BG5BL8 | usd | 1 | 0.01 | +| CNI | Canadian National Railway Co | BBG000HS74G6 | usd | 1 | 0.01 | +| ZION | Zions Bancorporation | BBG000BX9WL1 | usd | 1 | 0.01 | +| IVZ | Invesco | BBG000BY2Y78 | usd | 1 | 0.01 | +| PARA | Paramount Global | BBG000C496P7 | usd | 1 | 0.01 | +| DBX | Dropbox Inc | BBG0018SLDN0 | usd | 1 | 0.01 | +| STEM | Stem | BBG00XP8NQN4 | usd | 1 | 0.01 | +| TTLK | Таттелеком | BBG000RJL816 | rub | 1000 | 0.0005 | +| DRI | Darden Restaurants | BBG000BBNYF6 | usd | 1 | 0.01 | +| DD | DuPont de Nemours Inc | BBG00BN961G4 | usd | 1 | 0.01 | +| CNP | CenterPoint Energy | BBG000FDBX90 | usd | 1 | 0.01 | +| CNTL | Центральный Телеграф | BBG000BBV4M5 | rub | 100 | 0.02 | +| SLAB | Silicon Laboratories Inc | BBG000BB99S3 | usd | 1 | 0.01 | +| ANSS | ANSYS | BBG000GXZ4W7 | usd | 1 | 0.01 | +| SDGR | Schrodinger Inc | BBG000T88BN2 | usd | 1 | 0.01 | +| CROX | Crocs Inc | BBG000BLY663 | usd | 1 | 0.01 | +| SJW | SJW Group | BBG000BT1ZY7 | usd | 1 | 0.01 | +| ATEX | Anterix | BBG0081NLHR0 | usd | 1 | 0.01 | +| QDEL | QuidelOrtho Corp | BBG017TGV7M2 | usd | 1 | 0.01 | +| TDOC | Teladoc Health Inc | BBG0019T5SG0 | usd | 1 | 0.01 | +| OSIS | OSI Systems Inc | BBG000BWPR54 | usd | 1 | 0.01 | +| IBP | Installed Building Products | BBG005TJKDZ6 | usd | 1 | 0.01 | +| SITE | SiteOne Landscape Supply Inc | BBG009T22D49 | usd | 1 | 0.01 | +| IART | Integra LifeSciences Holdings | BBG000BZJQL8 | usd | 1 | 0.01 | +| SIG | Signet Jewelers | BBG000C4ZZ10 | usd | 1 | 0.01 | +| HA | Hawaiian Holdings Inc | BBG000BC4185 | usd | 1 | 0.01 | +| USPH | US Physical Therapy Inc | BBG000CSRSG6 | usd | 1 | 0.01 | +| CWH | Camping World Holdings, Inc. | BBG00D2Z7X83 | usd | 1 | 0.01 | +| CGNX | Cognex Corp | BBG000BPBVW5 | usd | 1 | 0.01 | +| FRT | Federal Realty Investment Trust REIT | BBG000BJVN28 | usd | 1 | 0.01 | +| BGS | B&G Foods Inc | BBG000RKXRQ1 | usd | 1 | 0.01 | +| XM | Qualtrics International Inc. | BBG00M9BHPZ5 | usd | 1 | 0.01 | +| PRGS | Progress Software Corp | BBG000C4QP94 | usd | 1 | 0.01 | +| DLTR | Dollar Tree | BBG000BSC0K9 | usd | 1 | 0.01 | +| WCC | WESCO International Inc | BBG000D0FNV3 | usd | 1 | 0.01 | +| GTX | Garrett Motion Inc | BBG00HY28P97 | usd | 1 | 0.01 | +| PFGC | Performance Food Group Co | BBG009XW2WB8 | usd | 1 | 0.01 | +| CHGG | Chegg Inc | BBG0014XR0N5 | usd | 1 | 0.01 | +| COF | Capital One | BBG000BGKTF9 | usd | 1 | 0.01 | +| KIDS | OrthoPediatrics Corp | BBG00HFFRW39 | usd | 1 | 0.01 | +| LOW | Lowe's | BBG000BNDN65 | usd | 1 | 0.01 | +| AMP | Ameriprise Financial | BBG000G3QLY3 | usd | 1 | 0.01 | +| MGNT | Магнит | BBG004RVFCY3 | rub | 1 | 0.5 | +| SVAV | СОЛЛЕРС | BBG004S68JR8 | rub | 10 | 0.5 | +| AZO | AutoZone | BBG000C7LMS8 | usd | 1 | 0.01 | +| KSPI@GS | ГДР Kaspi.kz JSC | BBG00XV2T033 | usd | 1 | 0.01 | +| PRG | PROG Holdings | BBG00VSH86G4 | usd | 1 | 0.01 | +| ABR | Arbor Realty Trust REIT | BBG000KMVDV1 | usd | 1 | 0.01 | +| ARVL | Arrival | BBG00YFSF9D7 | usd | 1 | 0.01 | +| PETQ | PetIQ Inc | BBG00H1CY328 | usd | 1 | 0.01 | +| GS | Goldman Sachs | BBG000C6CFJ5 | usd | 1 | 0.01 | +| PPG | PPG Industries | BBG000BRJ809 | usd | 1 | 0.01 | +| MKSI | MKS Instruments | BBG000BVMG26 | usd | 1 | 0.01 | +| SCHW | The Charles Schwab Corporation | BBG000BSLZY7 | usd | 1 | 0.01 | +| WYNN | Wynn Resorts | BBG000LD9JQ8 | usd | 1 | 0.01 | +| RDN | Radian Group | BBG000BMWV95 | usd | 1 | 0.01 | +| MCO | Moody's | BBG000F86GP6 | usd | 1 | 0.01 | +| CNXC | Concentrix Corporation | BBG00RCNQMX3 | usd | 1 | 0.01 | +| FTCH | Farfetch Ltd | BBG00LSD4456 | usd | 1 | 0.01 | +| BC | Brunswick Corp DE | BBG000BCWSS3 | usd | 1 | 0.01 | +| SPGI | S&P Global | BBG000BP1Q11 | usd | 1 | 0.01 | +| RDY | Dr. Reddy's Laboratories | BBG000NJ96L6 | usd | 1 | 0.01 | +| ALB | Albemarle | BBG000BJ26K7 | usd | 1 | 0.01 | +| MELI | MercadoLibre Inc | BBG000GQPB11 | usd | 1 | 0.01 | +| CSWI | CSW Industrials Inc | BBG007NLG4L3 | usd | 1 | 0.01 | +| UAA | Under Armour | BBG000BXM6V2 | usd | 1 | 0.01 | +| NLMK@GS | Novolipetsk Steel PJSC | BBG000PR0PJ6 | usd | 1 | 0.01 | +| UNP | Union Pacific Corporation | BBG000BW3299 | usd | 1 | 0.01 | +| NTLA | Intellia Therapeutics Inc | BBG007KC7PB0 | usd | 1 | 0.01 | +| FFIN | First Financial Bankshares, Inc. | BBG000BL8476 | usd | 1 | 0.01 | +| ECPG | Encore Capital Group Inc | BBG000F369C7 | usd | 1 | 0.01 | +| CVET | Covetrus Inc | BBG00KR691K8 | usd | 1 | 0.01 | +| HIG | Hartford Financial Services | BBG000G0Z878 | usd | 1 | 0.01 | +| SAIC | Science Applications Internati | BBG003BW05K6 | usd | 1 | 0.01 | +| WAT | Waters | BBG000FQRVM3 | usd | 1 | 0.01 | +| ACGL | Arch Capital Group | BBG000HXNN20 | usd | 1 | 0.01 | +| SITM | SiTime | BBG00QNSY1H7 | usd | 1 | 0.01 | +| O | Realty Income REIT | BBG000DHPN63 | usd | 1 | 0.01 | +| CDW | CDW Corp | BBG001P63B80 | usd | 1 | 0.01 | +| DGX | Quest Diagnostics | BBG000BN84F3 | usd | 1 | 0.01 | +| ZM | Zoom Video Communications Inc | BBG0042V6JM8 | usd | 1 | 0.01 | +| UHS | Universal Health Services | BBG000CB8Q50 | usd | 1 | 0.01 | +| CSII | Cardiovascular Systems Inc | BBG000NWQ9S5 | usd | 1 | 0.01 | +| HOG | Harley-Davidson | BBG000BKZTP3 | usd | 1 | 0.01 | +| WELL | Welltower REIT | BBG000BKY1G5 | usd | 1 | 0.01 | +| POWI | Power Integrations Inc | BBG000BTT3D1 | usd | 1 | 0.01 | +| KTB | Kontoor Brands Inc | BBG00LPTHYD5 | usd | 1 | 0.01 | +| PAG | Penske Automotive Group | BBG000H6K1B0 | usd | 1 | 0.01 | +| MED | Medifast Inc | BBG000BWBW76 | usd | 1 | 0.01 | +| UGI | UGI Corp | BBG000BVYN55 | usd | 1 | 0.01 | +| SLB | Schlumberger | BBG000BT41Q8 | usd | 1 | 0.01 | +| LPSN | LivePerson Inc | BBG000BSV0W5 | usd | 1 | 0.01 | +| PLZL@GS | Polyus PJSC | BBG00H2CS6K7 | usd | 1 | 0.01 | +| TM | Toyota Motor Corp | BBG000BPH299 | usd | 1 | 0.01 | +| GTLB | GitLab | BBG00DHTYPH8 | usd | 1 | 0.01 | +| BXP | Boston Properties REIT | BBG000BS5CM9 | usd | 1 | 0.01 | +| TEL | TE Connectivity | BBG000RGM5P1 | usd | 1 | 0.01 | +| EIX | Edison International | BBG000D7RKJ5 | usd | 1 | 0.01 | +| JBHT | JB Hunt | BBG000BMDBZ1 | usd | 1 | 0.01 | +| ODFL | Old Dominion Freight Line Inc | BBG000CHSS88 | usd | 1 | 0.01 | +| NEWR | New Relic Inc | BBG001NFKJ68 | usd | 1 | 0.01 | +| AXSM | Axsome Therapeutics Inc | BBG00B6G7GL7 | usd | 1 | 0.01 | +| FCEL | FuelCell Energy | BBG000HQ1LB3 | usd | 1 | 0.01 | +| SBER@GS | Sberbank of Russia PJSC | BBG001VBZR00 | usd | 1 | 0.01 | +| PRFT | Perficient Inc | BBG000BVXFK6 | usd | 1 | 0.01 | +| VIRT | Virtu Financial, Inc. | BBG0064N2T78 | usd | 1 | 0.01 | +| ORUP | Обувь России | BBG001BBGNS2 | rub | 10 | 0.02 | +| ASH | Ashland Inc | BBG00D0Y81M1 | usd | 1 | 0.01 | +| GEVO | Gevo | BBG000P7S7L7 | usd | 1 | 0.01 | +| ABNB | Airbnb, Inc | BBG001Y2XS07 | usd | 1 | 0.01 | +| ETLN | ГДР Etalon Group PLC | BBG001M2SC01 | rub | 1 | 0.02 | +| ET | Energy Transfer LP | BBG000BM2FL9 | usd | 1 | 0.01 | +| AXON | Axon Enterprise Inc | BBG000BHJWG1 | usd | 1 | 0.01 | +| NLY | Annaly Capital Management REIT | BBG000BJFJ98 | usd | 1 | 0.01 | +| APPN | Appian Corp | BBG001C7PMJ2 | usd | 1 | 0.01 | +| 700 | Tencent Holdings | BBG000BJ35N5 | hkd | 1 | 0.2 | +| PSMT | PriceSmart, Inc. | BBG000BTKR92 | usd | 1 | 0.01 | +| VREX | Varex Imaging Corp | BBG00CZNLR47 | usd | 1 | 0.01 | +| TRMB | Trimble Inc | BBG000BNPS52 | usd | 1 | 0.01 | +| WBD | Warner Bros. Discovery | BBG011386VF4 | usd | 1 | 0.01 | +| ROST | Ross Stores | BBG000BSBZH7 | usd | 1 | 0.01 | +| CTAS | Cintas | BBG000H3YXF8 | usd | 1 | 0.01 | +| SHOP | Shopify Inc | BBG008HBD923 | usd | 1 | 0.01 | +| COTY | Coty | BBG000F395V1 | usd | 1 | 0.01 | +| ITGR | Integer Holdings Corp | BBG000BW6JV4 | usd | 1 | 0.01 | +| YUM | Yum! | BBG000BH3GZ2 | usd | 1 | 0.01 | +| TKR | Timken Co The | BBG000BV95H9 | usd | 1 | 0.01 | +| HCSG | Healthcare Services Group Inc | BBG000BKYVF0 | usd | 1 | 0.01 | +| RTKMP | Ростелеком - Привилегированные акции | BBG004S685M3 | rub | 10 | 0.05 | +| FUL | HB Fuller Co | BBG000BJZ7V7 | usd | 1 | 0.01 | +| GRNT | Городские Инновационные Технологии | BBG00B8NN386 | rub | 100 | 0.0005 | +| GEMC | United medical group | BBG011MCM288 | rub | 1 | 0.1 | +| SKLZ | Skillz Inc | BBG00RQ732B6 | usd | 1 | 0.01 | +| ALRM | Alarm com Holdings Inc | BBG007GNPYY7 | usd | 1 | 0.01 | +| NSP | InsperIty Inc | BBG000BJ41X2 | usd | 1 | 0.01 | +| TCRR | TCR2 Therapeutics Inc | BBG00FH3FM15 | usd | 1 | 0.01 | +| PGR | Progressive | BBG000BR37X2 | usd | 1 | 0.01 | +| TRHC | Tabula Rasa HealthCare In | BBG00BT7PPY8 | usd | 1 | 0.01 | +| KRC | Kilroy Realty Corp REIT | BBG000BLMXN8 | usd | 1 | 0.01 | +| CWT | California Water Service | BBG000D8KTN6 | usd | 1 | 0.01 | +| KZOSP | ПАО «КАЗАНЬОРГСИНТЕЗ» - акции привилегированные | BBG0029SG1C1 | rub | 10 | 0.01 | +| AXP | American Express | BBG000BCQZS4 | usd | 1 | 0.01 | +| A | Agilent Technologies | BBG000C2V3D6 | usd | 1 | 0.01 | +| EBS | Emergent BioSolutions Inc | BBG000GW06J7 | usd | 1 | 0.01 | +| CPT | Camden Property REIT | BBG000BB0V03 | usd | 1 | 0.01 | +| W | Wayfair Inc | BBG001B17MV2 | usd | 1 | 0.01 | +| HOLX | Hologic | BBG000C3NTN5 | usd | 1 | 0.01 | +| ANIK | Anika Therapeutics Inc | BBG000BBKZD8 | usd | 1 | 0.01 | +| GEF | Greif Inc | BBG000BLFNC0 | usd | 1 | 0.01 | +| LMT | Lockheed Martin | BBG000C1BW00 | usd | 1 | 0.01 | +| FRPT | Freshpet Inc | BBG001D0HB36 | usd | 1 | 0.01 | +| TMHC | Taylor Morrison Home Corp | BBG003PGJHP5 | usd | 1 | 0.01 | +| BXMT | Blackstone Mortgage Trust REIT | BBG000BGKJ70 | usd | 1 | 0.01 | +| SNOW | Snowflake Inc | BBG007DHGNJ4 | usd | 1 | 0.01 | +| PATH | UiPath, Inc. | BBG00GKS1G03 | usd | 1 | 0.01 | +| SBH | Sally Beauty Holdings Inc | BBG000LR8515 | usd | 1 | 0.01 | +| COP | ConocoPhillips | BBG000BQQH30 | usd | 1 | 0.01 | +| ZBRA | Zebra Technologies Corp | BBG000CC7LQ7 | usd | 1 | 0.01 | +| ASO | Academy Sports & Outdoors | BBG00X7L1C14 | usd | 1 | 0.01 | +| CXW | CoreCivic | BBG000BJSJT2 | usd | 1 | 0.01 | +| SHOO | Steven Madden, Ltd. | BBG000BLV2Q3 | usd | 1 | 0.01 | +| VVX | V2X, Inc. | BBG005PG80K4 | usd | 1 | 0.01 | +| GSHD | Goosehead Insurance, Inc. | BBG00KHHBMC5 | usd | 1 | 0.01 | +| BLDR | Builders FirstSource Inc | BBG000BKD3K9 | usd | 1 | 0.01 | +| AJRD | Aerojet Rocketdyne Holdings In | BBG000BKRHQ7 | usd | 1 | 0.01 | +| DIOD | Diodes Inc | BBG000G25P51 | usd | 1 | 0.01 | +| CSGS | CSG Systems International Inc | BBG000G3TQV2 | usd | 1 | 0.01 | +| AFMD | Affimed NV | BBG006R5SSH5 | usd | 1 | 0.01 | +| HI | Hillenbrand | BBG000KT0GV3 | usd | 1 | 0.01 | +| PRLB | Proto Labs Inc | BBG000BT13B3 | usd | 1 | 0.01 | +| ZTS | Zoetis | BBG0039320N9 | usd | 1 | 0.01 | +| KMAZ | КАМАЗ | BBG000LNHHJ9 | rub | 10 | 0.1 | +| AEM | Agnico Eagle Mines | BBG000DLVDK3 | usd | 1 | 0.01 | +| INTU | Intuit | BBG000BH5DV1 | usd | 1 | 0.01 | +| BRBR | BellRing Brands | BBG013QNJHP8 | usd | 1 | 0.01 | +| KZOS | ПАО «КАЗАНЬОРГСИНТЕЗ» | BBG0029SFXB3 | rub | 10 | 0.1 | +| CHRW | C.H. Robinson Worldwide | BBG000BTCH57 | usd | 1 | 0.01 | +| ORI | Old Republic International Corporation | BBG000C4PLF7 | usd | 1 | 0.01 | +| BBSI | Barrett Business Services Inc | BBG000BHJSC4 | usd | 1 | 0.01 | +| RAMP | LiveRamp Holdings Inc | BBG000BB4HM6 | usd | 1 | 0.01 | +| LII | Lennox International Inc | BBG000BB5B84 | usd | 1 | 0.01 | +| FIXP | Fix Price Group | BBG00ZHCX1X2 | rub | 1 | 0.1 | +| EA | Electronic Arts | BBG000BP0KQ8 | usd | 1 | 0.01 | +| VKCO | VK | BBG00178PGX3 | rub | 1 | 0.2 | +| PACB | Pacific Biosciences of California | BBG000QKXH20 | usd | 1 | 0.01 | +| CDNA | CareDx Inc | BBG006JS5785 | usd | 1 | 0.01 | +| SKM | SK Telecom Co. | BBG000BLN497 | usd | 1 | 0.01 | +| MTOR | Meritor Inc | BBG000BH92D1 | usd | 1 | 0.01 | +| PEP | PepsiCo | BBG000DH7JK6 | usd | 1 | 0.01 | +| IAC | IAC Inc | BBG00S1LR2C3 | usd | 1 | 0.01 | +| TCX | Tucows Inc | BBG000L69KL5 | usd | 1 | 0.01 | +| PHOR | ФосАгро | BBG004S689R0 | rub | 1 | 1 | +| MOH | Molina Healthcare Inc | BBG000MBHNC8 | usd | 1 | 0.01 | +| DLTH | Duluth Holdings Inc | BBG002GBMZG4 | usd | 1 | 0.01 | +| RRX | Regal Rexnord | BBG000BRXTR8 | usd | 1 | 0.01 | +| OSUR | OraSure Technologies Inc | BBG000J3D1Y8 | usd | 1 | 0.01 | +| ORLY | O'Reilly Automotive | BBG000BGYWY6 | usd | 1 | 0.01 | +| AIR | AAR Corp | BBG000BBGQF1 | usd | 1 | 0.01 | +| AVNS | Avanos Medical Inc | BBG005L86G05 | usd | 1 | 0.01 | +| CBRE | CBRE Group | BBG000C04224 | usd | 1 | 0.01 | +| DUK | Duke Energy Corp | BBG000BHGDH5 | usd | 1 | 0.01 | +| HEN3@DE | Henkel AG & Co | BBG000BC3BJ2 | eur | 1 | 0.01 | +| BWXT | BWX Technologies | BBG000D86F25 | usd | 1 | 0.01 | +| MSGS | Madison Square Garden Co | BBG007FG0C23 | usd | 1 | 0.01 | +| RS | Reliance Steel & Aluminum Co | BBG000CJ2181 | usd | 1 | 0.01 | +| SGMO | Sangamo Therapeutics | BBG000BHYT80 | usd | 1 | 0.01 | +| SPBE | СПБ Биржа | BBG002GHV6L9 | usd | 1 | 0.01 | +| MHO | M/I Homes Inc | BBG000BL9MZ4 | usd | 1 | 0.01 | +| CMI | Cummins | BBG000BGPTV6 | usd | 1 | 0.01 | +| PRTS | CarParts.com | BBG000N26V95 | usd | 1 | 0.01 | +| CAH | Cardinal Health | BBG000D898T9 | usd | 1 | 0.01 | +| UCTT | Ultra Clean Holdings Inc | BBG000HSLV70 | usd | 1 | 0.01 | +| RTX | Raytheon Technologies | BBG000BW8S60 | usd | 1 | 0.01 | +| QTWO | Q2 Holdings Inc | BBG005ZVK9P2 | usd | 1 | 0.01 | +| ULTA | Ulta Beauty | BBG00FWQ4VD6 | usd | 1 | 0.01 | +| VMI | Valmont Industries | BBG000BWB7V4 | usd | 1 | 0.01 | +| VRSN | VeriSign | BBG000BGKHZ3 | usd | 1 | 0.01 | +| ABBV | AbbVie | BBG0025Y4RY4 | usd | 1 | 0.01 | +| KEY | KeyCorp | BBG000BMQPL1 | usd | 1 | 0.01 | +| LNZL | Лензолото | BBG000SK7JS5 | rub | 1 | 10 | +| ALG | Alamo Group Inc. | BBG000BJTZX0 | usd | 1 | 0.01 | +| TDG | TransDigm | BBG000L8CBX4 | usd | 1 | 0.01 | +| PLCE | Children's Place Inc The | BBG000JK9DK4 | usd | 1 | 0.01 | +| CACI | CACI International | BBG000KQY8Y7 | usd | 1 | 0.01 | +| LEA | Lear Corp | BBG000PTLGZ1 | usd | 1 | 0.01 | +| VST | Vistra | BBG00DXDL6Q1 | usd | 1 | 0.01 | +| MGTSP | МГТС - акции привилегированные | BBG000PZ0833 | rub | 1 | 2 | +| ZWS | Zurn Elkay Water Solutions | BBG000H8R0N8 | usd | 1 | 0.01 | +| WTS | Watts Water Technologies Inc | BBG000C4Z6C2 | usd | 1 | 0.01 | +| OGE | OGE Energy Corp. | BBG000BQGLS5 | usd | 1 | 0.01 | +| VOW3@DE | Volkswagen AG | BBG000BFCS17 | eur | 1 | 0.01 | +| JBSS | John B Sanfilippo & Son Inc | BBG000CHPMY5 | usd | 1 | 0.01 | +| TSP | TuSimple Holdings | BBG00ZSDS6T8 | usd | 1 | 0.01 | +| PKG | Packaging Corp of America | BBG000BB8SW7 | usd | 1 | 0.01 | +| DMTK | DermTech | BBG00H19F184 | usd | 1 | 0.01 | +| DBK@DE | Deutsche Bank AG | BBG000BBZW12 | eur | 1 | 0.01 | +| MDB | MongoDB Inc | BBG0022FDRY8 | usd | 1 | 0.01 | +| NOK | Nokia | BBG000BNGBW9 | usd | 1 | 0.01 | +| WH | Wyndham Hotels & Resorts | BBG00HCY3Q67 | usd | 1 | 0.01 | +| UDR | UDR REIT | BBG000C41023 | usd | 1 | 0.01 | +| BLK | BlackRock | BBG000C2PW58 | usd | 1 | 0.01 | +| WFC | Wells Fargo & Company | BBG000BWQFY7 | usd | 1 | 0.01 | +| SELG | Селигдар | BBG002458LF8 | rub | 10 | 0.01 | +| OKE | ONEOK | BBG000BQHGR6 | usd | 1 | 0.01 | +| SIVB | SVB Financial Group | BBG000BT0CM2 | usd | 1 | 0.01 | +| OMC | Omnicom Group | BBG000BS9489 | usd | 1 | 0.01 | +| ZYXI | Zynex Inc | BBG000BJBXZ2 | usd | 1 | 0.01 | +| USNA | USANA Health Sciences Inc | BBG000BX28M0 | usd | 1 | 0.01 | +| AGCO | AGCO Corp | BBG000DCCZW2 | usd | 1 | 0.01 | +| HXL | Hexcel Corp | BBG000BLMDQ9 | usd | 1 | 0.01 | +| RBLX | ROBLOX Corp | BBG001R1GCT0 | usd | 1 | 0.01 | +| MTN | Vail Resorts Inc | BBG000BCMWM1 | usd | 1 | 0.01 | +| IDCC | InterDigital | BBG000HLJ7M4 | usd | 1 | 0.01 | +| NIC | Nicolet Bankshares | BBG000QK0TG5 | usd | 1 | 0.01 | +| RCL | Royal Caribbean Cruises | BBG000BB5792 | usd | 1 | 0.01 | +| NOV | National Oilwell Varco | BBG000BJX8C8 | usd | 1 | 0.01 | +| TOST | Toast | BBG00BTJVK94 | usd | 1 | 0.01 | +| ASTR | Astra Space | BBG00W7FG4V8 | usd | 1 | 0.01 | +| HWM | Howmet Aerospace | BBG00DYNJGH9 | usd | 1 | 0.01 | +| TASK | TaskUs | BBG009CL6VK3 | usd | 1 | 0.01 | +| RETA | Reata Pharmaceuticals Inc | BBG000R33BD1 | usd | 1 | 0.01 | +| AVLR | Avalara Inc | BBG000R4Y9C1 | usd | 1 | 0.01 | +| IOSP | Innospec | BBG000BMFNP4 | usd | 1 | 0.01 | +| TWOU | 2U Inc | BBG001KS9450 | usd | 1 | 0.01 | +| AGRO | РусАгро | BBG007N0Z367 | rub | 1 | 0.2 | +| GOOGL | Alphabet Class A | BBG009S39JX6 | usd | 1 | 0.01 | +| IIPR | Innovative Industrial Properties REIT | BBG00F0SW7N8 | usd | 1 | 0.01 | +| TAL | TAL Education Group | BBG0016XJ8S0 | usd | 1 | 0.01 | +| GTHX | G1 Therapeutics Inc | BBG005F1DK91 | usd | 1 | 0.01 | +| TATNP | Татнефть - привилегированные акции | BBG004S68829 | rub | 1 | 0.1 | +| MUR | Murphy Oil | BBG000BPMH90 | usd | 1 | 0.01 | +| NDAQ | Nasdaq | BBG000F5VVB6 | usd | 1 | 0.01 | +| ALLO | Allogene Therapeutics Inc | BBG00KHRRDX3 | usd | 1 | 0.01 | +| ADS@DE | Adidas | BBG000FR1RP5 | eur | 1 | 0.01 | +| AOS | A. O. Smith Corporation | BBG000BC1L02 | usd | 1 | 0.01 | +| VEON-RX | VEON | BBG00R4Z2NT4 | rub | 10 | 0.05 | +| AVY | Avery Dennison | BBG000BCQ4P6 | usd | 1 | 0.01 | +| CB | Chubb | BBG000BR14K5 | usd | 1 | 0.01 | +| ESTC | Elastic NV | BBG00LWZDYB9 | usd | 1 | 0.01 | +| CYRX | Cryoport | BBG000PNTXP0 | usd | 1 | 0.01 | +| SQ | Block | BBG0018SLC07 | usd | 1 | 0.01 | +| OLED | Universal Display Corp | BBG000BLRP41 | usd | 1 | 0.01 | +| DVA | DaVita HealthCare Partners | BBG000MQ1SN9 | usd | 1 | 0.01 | +| FLWS | 1-800-Flowers.com Inc | BBG000BBR9P6 | usd | 1 | 0.01 | +| ORA | Ormat Technologies | BBG000Q5BQ63 | usd | 1 | 0.01 | +| CPRT | Copart Inc | BBG000BM9RH1 | usd | 1 | 0.01 | +| CSL | Carlisle Companies Incorporated | BBG000BGGBT8 | usd | 1 | 0.01 | +| JLL | Jones Lang LaSalle Inc | BBG000C2L2L0 | usd | 1 | 0.01 | +| RACE | Ferrari N.V. | BBG009PH3Q86 | usd | 1 | 0.01 | +| AFRM | Affirm Holdings | BBG00Y7BP8Y1 | usd | 1 | 0.01 | +| MATV | Mativ Holdings | BBG000C3CWZ7 | usd | 1 | 0.01 | +| DECK | Deckers Outdoor Corp | BBG000BKXYX5 | usd | 1 | 0.01 | +| ADP | Automatic Data Processing | BBG000JG0547 | usd | 1 | 0.01 | +| NYT | New York Times | BBG000FFC0B3 | usd | 1 | 0.01 | +| LEGH | Legacy Housing Corp | BBG00MJDR6J9 | usd | 1 | 0.01 | +| SWK | Stanley Black & Decker | BBG000BTQR96 | usd | 1 | 0.01 | +| MS | Morgan Stanley | BBG000BLZRJ2 | usd | 1 | 0.01 | +| MOS | Mosaic | BBG000BFXHL6 | usd | 1 | 0.01 | +| CWST | Casella Waste Systems | BBG000BT0J38 | usd | 1 | 0.01 | +| RMD | ResMed Inc | BBG000L4M7F1 | usd | 1 | 0.01 | +| FARO | FARO Technologies Inc | BBG000BJD7C2 | usd | 1 | 0.01 | +| BLNG | Белон | BBG000VQWH86 | rub | 100 | 0.005 | +| EVBG | Everbridge Inc | BBG0022FMPD5 | usd | 1 | 0.01 | +| NVRO | Nevro | BBG001K61W36 | usd | 1 | 0.01 | +| MASI | Masimo Corporation | BBG000C3W281 | usd | 1 | 0.01 | +| ANF | Abercrombie & Fitch | BBG000H9G7X2 | usd | 1 | 0.01 | +| OGS | ONE Gas | BBG004WQKD07 | usd | 1 | 0.01 | +| GGG | Graco | BBG000BK9W84 | usd | 1 | 0.01 | +| RSKD | Riskified | BBG011P2TCH8 | usd | 1 | 0.01 | +| IDXX | IDEXX | BBG000BLRT07 | usd | 1 | 0.01 | +| FSLR | First Solar | BBG000BFL116 | usd | 1 | 0.01 | +| CCMP | CMC Materials | BBG000BP3NW2 | usd | 1 | 0.01 | +| COUR | Coursera, Inc. | BBG002WLDMW5 | usd | 1 | 0.01 | +| YEXT | Yext Inc | BBG001MKZGY7 | usd | 1 | 0.01 | +| WDFC | WD-40 Co | BBG000BWNV93 | usd | 1 | 0.01 | +| PLUG | Plug Power Inc | BBG000C1XSP8 | usd | 1 | 0.01 | +| KD | Kyndryl Holdings | BBG012W99DN6 | usd | 1 | 0.01 | +| COLB | Columbia Banking System | BBG000CTGXS2 | usd | 1 | 0.01 | +| WST | West Pharmaceutical Services I | BBG000BX24N8 | usd | 1 | 0.01 | +| UTHR | United Therapeutics Corp | BBG000BV4XJ1 | usd | 1 | 0.01 | +| 1COV@DE | Covestro AG | BBG00DW0PN34 | eur | 1 | 0.01 | +| PNTG | Pennant Group Inc | BBG00P33SY72 | usd | 1 | 0.01 | +| FLR | Fluor | BBG000BB1TH9 | usd | 1 | 0.01 | +| FLT | FleetCor Technologies Inc | BBG000GPXKX9 | usd | 1 | 0.01 | +| MD | Pediatrix Medical Group | BBG000H8LGK2 | usd | 1 | 0.01 | +| MDC | M.D.C. Holdings | BBG000BNTTY4 | usd | 1 | 0.01 | +| NVEE | NV5 Global Inc | BBG005BT60Y8 | usd | 1 | 0.01 | +| MANU | Manchester United Plc | BBG0035WV4N9 | usd | 1 | 0.01 | +| RCII | Rent-A-Center | BBG000BHQJX3 | usd | 1 | 0.01 | +| EMN | Eastman Chemical Company | BBG000BLW530 | usd | 1 | 0.01 | +| GPK | Graphic Packaging Holding Company | BBG000GQ7K93 | usd | 1 | 0.01 | +| VMW | VMware | BBG000BC9938 | usd | 1 | 0.01 | +| YETI | YETI Holdings Inc | BBG00D8JC882 | usd | 1 | 0.01 | +| HCCI | Heritage-Crystal Clean Inc | BBG000CCFB17 | usd | 1 | 0.01 | +| NABL | N-able | BBG00YJKWXD8 | usd | 1 | 0.01 | +| HHR | HeadHunter Group PLC | BBG00KHGQ0H4 | usd | 1 | 0.01 | +| ZNTL | Zentalis Pharmaceuticals | BBG00R2K8TF5 | usd | 1 | 0.01 | +| ARW | Arrow Electronics Inc | BBG000BCD3D5 | usd | 1 | 0.01 | +| FCFS | FirstCash | BBG0145KL747 | usd | 1 | 0.01 | +| WDAY | Workday Inc | BBG000VC0T95 | usd | 1 | 0.01 | +| FOCS | Focus Financial Partners Inc | BBG00L0YTFN8 | usd | 1 | 0.01 | +| ADM | Archer-Daniels-Midland Company | BBG000BB6WG8 | usd | 1 | 0.01 | +| NVTK@GS | Novatek PJSC | BBG000QY6FL3 | usd | 1 | 0.01 | +| GPS | Gap | BBG000BKLH74 | usd | 1 | 0.01 | +| RYN | Rayonier REIT | BBG000BG7L34 | usd | 1 | 0.01 | +| UA | Under Armour (C) | BBG009DTD8H2 | usd | 1 | 0.01 | +| XOM | Exxon Mobil Corporation | BBG000GZQ728 | usd | 1 | 0.01 | +| EMBC | Embecta | BBG014L7D4G1 | usd | 1 | 0.01 | +| MAGN | Магнитогорский металлургический комбинат | BBG004S68507 | rub | 10 | 0.005 | +| VTBR | Банк ВТБ | BBG004730ZJ9 | rub | 10000 | 0.000005 | +| LUMN | Lumen Technologies | BBG000BGLRN3 | usd | 1 | 0.01 | +| WMG | Warner Music Group | BBG00RP2T9T6 | usd | 1 | 0.01 | +| DB1@DE | Deutsche Boerse AG | BBG000D54HT0 | eur | 1 | 0.01 | +| SMLT | ГК Самолет | BBG00F6NKQX3 | rub | 1 | 0.5 | +| CEA | China Eastern Airlines | BBG000BCFNR4 | usd | 1 | 0.01 | +| MAT | Mattel | BBG000BNNYW1 | usd | 1 | 0.01 | +| CNMD | CONMED Corporation | BBG000BFZVH8 | usd | 1 | 0.01 | +| WRLD | World Acceptance Corp | BBG000C3G9J2 | usd | 1 | 0.01 | +| VSTO | Vista Outdoor | BBG006F8QZK4 | usd | 1 | 0.01 | +| ARCT | Arcturus Therapeutics Holdings | BBG00NNW8JK1 | usd | 1 | 0.01 | +| LFUS | Littelfuse | BBG000BGFGT8 | usd | 1 | 0.01 | +| SAVA | Cassava Sciences | BBG000BK9YW3 | usd | 1 | 0.01 | +| TPH | Tri Pointe Homes, Inc. | BBG0016YQTR5 | usd | 1 | 0.01 | +| AVNT | Avient Corporation | BBG000C8NJ10 | usd | 1 | 0.01 | +| SJI | South Jersey Industries, Inc | BBG000BT0T72 | usd | 1 | 0.01 | +| EL | The Estee Lauder Companies | BBG000FKJRC5 | usd | 1 | 0.01 | +| AAP | Advance Auto Parts | BBG000F7RCJ1 | usd | 1 | 0.01 | +| KNBE | KnowBe4 | BBG00C4DL9L4 | usd | 1 | 0.01 | +| BANE | Башнефть | BBG004S68758 | rub | 1 | 0.5 | +| ICLR | ICON plc | BBG000CTSZQ6 | usd | 1 | 0.01 | +| TWST | Twist Bioscience | BBG006KDCHJ4 | usd | 1 | 0.01 | +| GHC | Graham Holdings Co | BBG000C3FGH9 | usd | 1 | 0.01 | +| AON | Aon | BBG00SSQFPK6 | usd | 1 | 0.01 | +| TTD | Trade Desk Inc/The | BBG00629NGT2 | usd | 1 | 0.01 | +| AFLT | Аэрофлот | BBG004S683W7 | rub | 10 | 0.02 | +| EFX | Equifax | BBG000BHPL78 | usd | 1 | 0.01 | +| QS | QuantumScape Corporation | BBG00VJ17DS2 | usd | 1 | 0.01 | +| MKC | McCormick & Co | BBG000G6Y5W4 | usd | 1 | 0.01 | +| MCK | McKesson | BBG000DYGNW7 | usd | 1 | 0.01 | +| RPD | Rapid7 Inc | BBG009DFHWG6 | usd | 1 | 0.01 | +| CIAN | АДР Циан | BBG012YQ6P43 | rub | 1 | 0.2 | +| TRUP | Trupanion Inc | BBG002BC7WC5 | usd | 1 | 0.01 | +| VTSC@DE | Vitesco Technologies Group AG | BBG00ZVC67K7 | eur | 1 | 0.01 | +| MHK | Mohawk Industries | BBG000FLZN98 | usd | 1 | 0.01 | +| MA | Mastercard | BBG000F1ZSQ2 | usd | 1 | 0.01 | +| RUAL | РУСАЛ | BBG008F2T3T2 | rub | 10 | 0.005 | +| PDCE | PDC Energy | BBG000BR1KR2 | usd | 1 | 0.01 | +| ATRC | AtriCure | BBG000BL6CB5 | usd | 1 | 0.01 | +| NKHP | НКХП | BBG00BGKYH17 | rub | 10 | 0.5 | +| SMAR | Smartsheet Inc | BBG00GQK3WB5 | usd | 1 | 0.01 | +| GLBE | Global-E Online Ltd | BBG00ZKY1P71 | usd | 1 | 0.01 | +| DT | Dynatrace Inc | BBG00PNN7C40 | usd | 1 | 0.01 | +| SBAC | SBA Communications REIT | BBG000D2M0Z7 | usd | 1 | 0.01 | +| FME@DE | Fresenius Medical Care AG & Co | BBG000DHXTF1 | eur | 1 | 0.01 | +| SIGI | Selective Insurance Group | BBG000BSZ738 | usd | 1 | 0.01 | +| AWR | American States Water Co | BBG000F964B6 | usd | 1 | 0.01 | +| GLPI | Gaming and Leisure Properties REIT | BBG003MSMCS6 | usd | 1 | 0.01 | +| HLNE | Hamilton Lane Incorporated | BBG00FX58Q66 | usd | 1 | 0.01 | +| NMIH | NMI Holdings Inc | BBG005DLMMZ6 | usd | 1 | 0.01 | +| BLI | Berkeley Lights | BBG00HJ8K617 | usd | 1 | 0.01 | +| OSTK | Overstock.com | BBG000BF7BV7 | usd | 1 | 0.01 | +| LTHM | Livent Corporation | BBG00LV3NRG0 | usd | 1 | 0.01 | +| MNDY | Monday.Com | BBG00GF8K4W4 | usd | 1 | 0.01 | +| CGEN | Compugen | BBG000B9ZLB0 | usd | 1 | 0.01 | +| ITCI | Intra-Cellular Therapies, Inc | BBG0026ZFZC4 | usd | 1 | 0.01 | +| CRMT | America's Car-Mart Inc TX | BBG000CM6L31 | usd | 1 | 0.01 | +| AEIS | Advanced Energy Industries Inc | BBG000FKMP26 | usd | 1 | 0.01 | +| TOL | Toll Brothers Inc | BBG000BVHBM1 | usd | 1 | 0.01 | +| SPG | Simon Property Group REIT | BBG000BJ2D31 | usd | 1 | 0.01 | +| NVR | NVR Inc | BBG000BQBYR3 | usd | 1 | 0.01 | +| EVER | EverQuote | BBG00F17NDH7 | usd | 1 | 0.01 | +| AWK | American Water Works | BBG000TRJ294 | usd | 1 | 0.01 | +| CTLT | Catalent Inc | BBG005XR47P5 | usd | 1 | 0.01 | +| BERY | Berry Global Group Inc | BBG000Q1R1Y9 | usd | 1 | 0.01 | +| SCL | Stepan Company | BBG000BSMFN2 | usd | 1 | 0.01 | +| CMC | Commercial Metals Company | BBG000BFSND8 | usd | 1 | 0.01 | +| WHR | Whirlpool | BBG000BWSV34 | usd | 1 | 0.01 | +| BA | BOEING | BBG000BCSST7 | usd | 1 | 0.01 | +| EPAY | Bottomline Technologies DE Inc | BBG000BRNH31 | usd | 1 | 0.01 | +| DASH | DoorDash | BBG005D7QCJ3 | usd | 1 | 0.01 | +| GMED | Globus Medical Inc | BBG002V87SD0 | usd | 1 | 0.01 | +| TFC | Truist Financial Corporation | BBG000BYYLS8 | usd | 1 | 0.01 | +| DINO | HF Sinclair Corporation | BBG0135B2214 | usd | 1 | 0.01 | +| BOSS@DE | HUGO BOSS AG | BBG000BD0GG5 | eur | 1 | 0.01 | +| EAT | Brinker International Inc | BBG000BK28N7 | usd | 1 | 0.01 | +| ACAD | ACADIA Pharmaceuticals Inc | BBG000BHG9K0 | usd | 1 | 0.01 | +| NUVA | NuVasive Inc | BBG000LNL298 | usd | 1 | 0.01 | +| SBER | Сбер Банк | BBG004730N88 | rub | 10 | 0.01 | +| SNAP | Snap Inc | BBG00441QMJ7 | usd | 1 | 0.01 | +| TSM | Taiwan Semiconductor Manufacturing | BBG000BD8ZK0 | usd | 1 | 0.01 | +| SLP | Simulations Plus Inc. | BBG000BS2ZD1 | usd | 1 | 0.01 | +| CHNG | Change Healthcare Inc | BBG0059KNH10 | usd | 1 | 0.01 | +| CPB | Campbell Soup | BBG000BG4202 | usd | 1 | 0.01 | +| VRT | Vertiv Holdings Co | BBG00L2B8KW8 | usd | 1 | 0.01 | +| CHD | Church & Dwight | BBG000BFJT36 | usd | 1 | 0.01 | +| BBWI | Bath & Body Works | BBG000BNGTQ7 | usd | 1 | 0.01 | +| AMCX | AMC Networks Inc | BBG000H01H92 | usd | 1 | 0.01 | +| RUN | Sunrun Inc | BBG0025XVR85 | usd | 1 | 0.01 | +| AKAM | Akamai Technologies | BBG000BJQWD2 | usd | 1 | 0.01 | +| PGNY | Progyny Inc | BBG002H1K1H1 | usd | 1 | 0.01 | +| SR | Spire Inc. | BBG000BN6KG8 | usd | 1 | 0.01 | +| SRE | Sempra Energy | BBG000C2ZCH8 | usd | 1 | 0.01 | +| IBM | IBM | BBG000BLNNH6 | usd | 1 | 0.01 | +| NOVA | Sunnova Energy International | BBG00PLQ1JR1 | usd | 1 | 0.01 | +| ZUMZ | Zumiez Inc | BBG000PYX812 | usd | 1 | 0.01 | +| TMUS | T-Mobile US Inc | BBG000NDV1D4 | usd | 1 | 0.01 | +| TRI | Thomson Reuters Corporation | BBG000BBS9F6 | usd | 1 | 0.01 | +| VNE | Veoneer Inc | BBG00K4MPP27 | usd | 1 | 0.01 | +| USM | United States Cellular Corp | BBG000BW6P59 | usd | 1 | 0.01 | +| ZYNE | Zynerba Pharmaceuticals Inc | BBG007BBS8B7 | usd | 1 | 0.01 | +| ABG | Asbury Automotive Group Inc | BBG000BKDWB5 | usd | 1 | 0.01 | +| MRVL | Marvell Technology, Inc. | BBG00ZXBJ153 | usd | 1 | 0.01 | +| AMTI | Applied Molecular Transport | BBG00R240WL5 | usd | 1 | 0.01 | +| RRR | Red Rock Resorts | BBG00B6G8077 | usd | 1 | 0.01 | +| VCEL | Vericel Corp | BBG000BDCM24 | usd | 1 | 0.01 | +| AVB | AvalonBay Communities REIT | BBG000BLPBL5 | usd | 1 | 0.01 | +| ITRI | Itron Inc | BBG000BD2167 | usd | 1 | 0.01 | +| MTB | M&T Bank | BBG000D9KWL9 | usd | 1 | 0.01 | +| BMO | Bank of Montreal | BBG000DLY9B9 | usd | 1 | 0.01 | +| HON | Honeywell | BBG000H556T9 | usd | 1 | 0.01 | +| TTC | Toro | BBG000BVQRY3 | usd | 1 | 0.01 | +| ACIW | ACI Worldwide, Inc. | BBG000PMBV39 | usd | 1 | 0.01 | +| ESAB | ESAB Corporation | BBG0028ZMP45 | usd | 1 | 0.01 | +| AN | AutoNation | BBG000BBXLW4 | usd | 1 | 0.01 | +| SEE | Sealed Air | BBG000C22QV7 | usd | 1 | 0.01 | +| MDMG | Мать и дитя | BBG00Y3XYV94 | rub | 1 | 0.1 | +| T | AT&T | BBG000BSJK37 | usd | 1 | 0.01 | +| EQH | Equitable Holdings | BBG00J7CBVW8 | usd | 1 | 0.01 | +| ATI | Allegheny Technologies | BBG000LC1FS4 | usd | 1 | 0.01 | +| COIN | Coinbase | BBG00ZGF7771 | usd | 1 | 0.01 | +| CLSK | Cleanspark Inc | BBG001MB89V6 | usd | 1 | 0.01 | +| DNMR | Danimer Scientific | BBG00S4VMQT2 | usd | 1 | 0.01 | +| ATNI | ATN International, Inc | BBG000F8RCH1 | usd | 1 | 0.01 | +| CGNT | Cognyte Software Ltd. | BBG00R0ZFHV4 | usd | 1 | 0.01 | +| CNHI | CNH Industrial N.V. | BBG0059JSF49 | usd | 1 | 0.01 | +| CBU | Community Bank System | BBG000BF4D19 | usd | 1 | 0.01 | +| SRDX | Surmodics Inc | BBG000BZ2QG2 | usd | 1 | 0.01 | +| FCNCA | First Citizens BancShares, Inc. | BBG000BJCDS3 | usd | 1 | 0.01 | +| BNTX | BioNTech SE | BBG00Q70B3V1 | usd | 1 | 0.01 | +| 3690 | Meituan | BBG00LLV9WW6 | hkd | 10 | 0.1 | +| RUSP | Русполимет | BBG000R466J1 | rub | 1000 | 0.0005 | +| IEX | IDEX Corp | BBG000C1HN22 | usd | 1 | 0.01 | +| GTRK | ГТМ | BBG00HY6V6H5 | rub | 10 | 0.05 | +| MVID | М.видео | BBG004S68CP5 | rub | 1 | 0.1 | +| BOX | Box Inc | BBG000PMSK08 | usd | 1 | 0.01 | +| STLD | Steel Dynamics Inc | BBG000HGYNZ9 | usd | 1 | 0.01 | +| ARNC | Arconic | BBG00R45JYB7 | usd | 1 | 0.01 | +| MKTX | MarketAxess Holdings Inc | BBG000BJBZ23 | usd | 1 | 0.01 | +| DFS | Discover Financial Services | BBG000QBR5J5 | usd | 1 | 0.01 | +| SILK | Silk Road Medical | BBG0026ZJRY4 | usd | 1 | 0.01 | +| ENTA | Enanta Pharmaceuticals Inc | BBG001V9NSB4 | usd | 1 | 0.01 | +| INMD | Inmode Ltd | BBG00PPS73P4 | usd | 1 | 0.01 | +| VCYT | Veracyte Inc | BBG001J2M542 | usd | 1 | 0.01 | +| HBAN | Huntington Bancshares | BBG000BKWSR6 | usd | 1 | 0.01 | +| PD | Pagerduty Inc | BBG0043BYPB8 | usd | 1 | 0.01 | +| PCRX | Pacira BioSciences Inc | BBG0018FQNS6 | usd | 1 | 0.01 | +| LKQ | LKQ Corporation | BBG000PXDL44 | usd | 1 | 0.01 | +| POOL | Pool Corp | BBG000BCVG28 | usd | 1 | 0.01 | +| WBS | Webster Financial Corporation | BBG000BWMX63 | usd | 1 | 0.01 | +| HD | The Home Depot | BBG000BKZB36 | usd | 1 | 0.01 | +| QUOT | Quotient Technology Inc | BBG001QYNR63 | usd | 1 | 0.01 | +| BECN | Beacon Roofing Supply Inc | BBG000BKTXF2 | usd | 1 | 0.01 | +| FL | Foot Locker | BBG000BX8DC4 | usd | 1 | 0.01 | +| IPAR | Inter Parfums Inc | BBG000GCSWR5 | usd | 1 | 0.01 | +| ALV@DE | Allianz SE | BBG000BBFBD7 | eur | 1 | 0.01 | +| NTGR | NETGEAR Inc | BBG000C4GBR6 | usd | 1 | 0.01 | +| NARI | Inari Medical Inc | BBG009J8K7M0 | usd | 1 | 0.01 | +| SVST@GS | Severstal PJSC | BBG000Q3XWC4 | usd | 1 | 0.01 | +| J | Jacobs Solutions | BBG019C1BQR4 | usd | 1 | 0.01 | +| BANEP | Башнефть - привилегированные акции | BBG004S686N0 | rub | 1 | 0.5 | +| ROLL | RBC Bearings Inc | BBG000GMGNB3 | usd | 1 | 0.01 | +| BRX | Brixmor Property Group REIT | BBG001LFLZZ1 | usd | 1 | 0.01 | +| OXY | Occidental Petroleum | BBG000BQQ2S6 | usd | 1 | 0.01 | +| APD | Air Products & Chemicals | BBG000BC4JJ4 | usd | 1 | 0.01 | +| VRTV | Veritiv Corp | BBG005XZHR97 | usd | 1 | 0.01 | +| NDSN | Nordson Corp | BBG000BPWGR1 | usd | 1 | 0.01 | +| SWN | Southwestern Energy | BBG000BTR593 | usd | 1 | 0.01 | +| RARE | Ultragenyx Pharmaceutical Inc | BBG001RWPDW6 | usd | 1 | 0.01 | +| SWI | SolarWinds Corp | BBG00M1CKSK7 | usd | 1 | 0.01 | +| CI | Cigna | BBG00KXRCDP0 | usd | 1 | 0.01 | +| OKEY | O'Key Group SA | BBG00172J7S9 | rub | 10 | 0.01 | +| INCY | Incyte | BBG000BNPSQ9 | usd | 1 | 0.01 | +| ALRS | АЛРОСА | BBG004S68B31 | rub | 10 | 0.01 | +| MYRG | MYR Group Inc | BBG000BC7VW9 | usd | 1 | 0.01 | +| ANDE | Andersons Inc | BBG000BF8CN3 | usd | 1 | 0.01 | +| FOUR | Shift4 Payments | BBG00TX393L4 | usd | 1 | 0.01 | +| SBUX | Starbucks Corporation | BBG000CTQBF3 | usd | 1 | 0.01 | +| GBT | Global Blood Therapeutics Inc | BBG00341H6M0 | usd | 1 | 0.01 | +| BFH | Bread Financial | BBG000BFNR17 | usd | 1 | 0.01 | +| SNX | SYNNEX Corp | BBG000CL9JV4 | usd | 1 | 0.01 | +| MSFT | Microsoft Corporation | BBG000BPH459 | usd | 1 | 0.01 | +| TER | Teradyne Inc | BBG000BV4DR6 | usd | 1 | 0.01 | +| TWNK | Hostess Brands Inc | BBG00B6KGNN1 | usd | 1 | 0.01 | +| UFPI | UUFP Industries, Inc | BBG000BL0T06 | usd | 1 | 0.01 | +| RY | Royal Bank of Canada | BBG000BSSC44 | usd | 1 | 0.01 | +| DISH | DISH Network Corp | BBG000C2YHG9 | usd | 1 | 0.01 | +| CPRI | Capri Holdings Limited | BBG0029SNR63 | usd | 1 | 0.01 | +| ALK | Alaska Air Group | BBG000BBL0Y1 | usd | 1 | 0.01 | +| ALLK | Allakos Inc | BBG003QBJKN0 | usd | 1 | 0.01 | +| QCOM | Qualcomm | BBG000CGC1X8 | usd | 1 | 0.01 | +| POSH | Poshmark | BBG0029ZBN50 | usd | 1 | 0.01 | +| HUN | Huntsman | BBG000NS26Q8 | usd | 1 | 0.01 | +| CBRL | Cracker Barrel Old Country Sto | BBG000BF33K1 | usd | 1 | 0.01 | +| MAS | Masco | BBG000BNNKG9 | usd | 1 | 0.01 | +| BKU | BankUnited, Inc. | BBG000PQPCM6 | usd | 1 | 0.01 | +| SAIA | Saia Inc | BBG000P5LMQ0 | usd | 1 | 0.01 | +| SAP | АДР SAP | BBG000BDSLD7 | usd | 1 | 0.01 | +| IIVI | II-VI Inc | BBG000BLW102 | usd | 1 | 0.01 | +| GRMN | Garmin | BBG000C4LN67 | usd | 1 | 0.01 | +| MGY | Magnolia Oil & Gas Corp | BBG00GNC8DL2 | usd | 1 | 0.01 | +| PING | Ping Identity Holding Corp | BBG00Q3GDB13 | usd | 1 | 0.01 | +| ZIP | ZipRecruiter Inc | BBG010JBYV98 | usd | 1 | 0.01 | +| MKL | Markel Corp | BBG000FC7366 | usd | 1 | 0.01 | +| ERIE | Erie IndemnIty Co | BBG000BBTJZ1 | usd | 1 | 0.01 | +| HSC | Harsco Corp | BBG000BLH3P8 | usd | 1 | 0.01 | +| SRCL | Stericycle | BBG000H3FZM6 | usd | 1 | 0.01 | +| TRGP | Targa Resources | BBG0015XMW40 | usd | 1 | 0.01 | +| BDX | Becton, Dickinson and Company | BBG000BCZYD3 | usd | 1 | 0.01 | +| MSGE | Madison Square Garden Entertainment | BBG00L9HLWV8 | usd | 1 | 0.01 | +| LRCX | Lam Research | BBG000BNFLM9 | usd | 1 | 0.01 | +| SONO | SONOS INC | BBG001JZPSQ2 | usd | 1 | 0.01 | +| CNNE | Cannae Holdings | BBG00GXRNJP4 | usd | 1 | 0.01 | +| NRIX | Nurix Therapeutics Inc | BBG00SDJ8M78 | usd | 1 | 0.01 | +| MLCO | Melco Resorts & Entertainment | BBG000BHP8J4 | usd | 1 | 0.01 | +| PG | Procter & Gamble | BBG000BR2TH3 | usd | 1 | 0.01 | +| PCOR | Procore Technologies | BBG0026ZJ304 | usd | 1 | 0.01 | +| HRTX | Heron Therapeutics Inc | BBG000G2GJT7 | usd | 1 | 0.01 | +| STT | State Street | BBG000BKFBD7 | usd | 1 | 0.01 | +| MRKP | Россети Центр и Приволжье | BBG000VG1034 | rub | 10000 | 0.0001 | +| RWE@DE | RWE AG | BBG000BBQ209 | eur | 1 | 0.01 | +| INTC | Intel Corporation | BBG000C0G1D1 | usd | 1 | 0.01 | +| JELD | JELD-WEN Holding Inc | BBG0019GM953 | usd | 1 | 0.01 | +| COKE | Coca-Cola Consolidated Inc | BBG000BG1SX2 | usd | 1 | 0.01 | +| ZNH | China Southern Airlines | BBG000BXQ7R1 | usd | 1 | 0.01 | +| DOCS | Doximity, Inc. | BBG0026ZJQX7 | usd | 1 | 0.01 | +| TCBI | Texas Capital Bancshares Inc | BBG000DN4ZT1 | usd | 1 | 0.01 | +| FR | First Industrial REIT | BBG000CKGDS5 | usd | 1 | 0.01 | +| FELE | Franklin Electric Co | BBG000BJGGV8 | usd | 1 | 0.01 | +| RE | Everest Re Group | BBG000C1XVK6 | usd | 1 | 0.01 | +| AIG | American International Group | BBG000BBDZG3 | usd | 1 | 0.01 | +| ENTG | Entegris Inc | BBG000CTV4N4 | usd | 1 | 0.01 | +| CVCO | Cavco Industries Inc | BBG000K4WS65 | usd | 1 | 0.01 | +| TRV | Travelers Cos | BBG000BJ81C1 | usd | 1 | 0.01 | +| SAH | Sonic Automotive | BBG000BBMNG0 | usd | 1 | 0.01 | +| IONS | Ionis Pharmaceuticals Inc | BBG000JH6683 | usd | 1 | 0.01 | +| ECL | Ecolab | BBG000BHKYH4 | usd | 1 | 0.01 | +| HHC | Howard Hughes Corp | BBG000MJRJJ2 | usd | 1 | 0.01 | +| PAYX | Paychex Inc | BBG000BQSQ38 | usd | 1 | 0.01 | +| FLOT | Совкомфлот | BBG000R04X57 | rub | 10 | 0.01 | +| BROS | Dutch Bros | BBG01282ZHB3 | usd | 1 | 0.01 | +| MRNA | Moderna Inc | BBG003PHHZT1 | usd | 1 | 0.01 | +| SHEN | Shenandoah Telecommunications | BBG000BTC2N0 | usd | 1 | 0.01 | +| ENS | EnerSys | BBG000PWTD92 | usd | 1 | 0.01 | +| OII | Oceaneering International Inc | BBG000CPBCL8 | usd | 1 | 0.01 | +| XPO | XPO Logistics Inc | BBG000L5CJF3 | usd | 1 | 0.01 | +| LDOS | Leidos Holdings | BBG000C23PB0 | usd | 1 | 0.01 | +| SPLK | Splunk | BBG001C7TST4 | usd | 1 | 0.01 | +| KOPN | Kopin Corporation | BBG000C2SBZ8 | usd | 1 | 0.01 | +| AAPL | Apple | BBG000B9XRY4 | usd | 1 | 0.01 | +| NVS | Novartis AG | BBG000LYF3S8 | usd | 1 | 0.01 | +| WM | Waste Management | BBG000BWVSR1 | usd | 1 | 0.01 | +| BNGO | Bionano Genomics, Inc. | BBG001KWWRS9 | usd | 1 | 0.01 | +| DPW@DE | Deutsche Post AG | BBG000LW3NX5 | eur | 1 | 0.01 | +| ALLE | Allegion | BBG003PS7JV1 | usd | 1 | 0.01 | +| AAWW | Atlas Air Worldwide Holdings | BBG000Q57YP0 | usd | 1 | 0.01 | +| ALGT | Allegiant Travel Co | BBG000LJS6B8 | usd | 1 | 0.01 | +| BKNG | Booking | BBG000BLBVN4 | usd | 1 | 0.01 | +| PMSBP | Пермэнергосбыт - акции привилегированные | BBG000MZL2S9 | rub | 10 | 0.2 | +| PRTA | Prothena Corporation | BBG003PDKJF7 | usd | 1 | 0.01 | +| AGIO | Agios Pharmaceuticals Inc | BBG000QY4ZD0 | usd | 1 | 0.01 | +| FND | Floor & Decor Holdings Inc | BBG007GJ2F81 | usd | 1 | 0.01 | +| STAG | STAG Industrial REIT | BBG000BGLFP7 | usd | 1 | 0.01 | +| ETSY | Etsy Inc | BBG000N7MXL8 | usd | 1 | 0.01 | +| HALO | Halozyme Therapeutics Inc | BBG000CZ8W54 | usd | 1 | 0.01 | +| DLO | DLocal | BBG00XGCHFV7 | usd | 1 | 0.01 | +| M | Macy's | BBG000C46HM9 | usd | 1 | 0.01 | +| FIS | Fidelity National Information | BBG000BK2F42 | usd | 1 | 0.01 | +| VICR | Vicor Corp | BBG000C3VHF1 | usd | 1 | 0.01 | +| HE | Hawaiian Electric Industries, Inc. | BBG000BL0P40 | usd | 1 | 0.01 | +| YY | JOYY Inc | BBG003H0XV18 | usd | 1 | 0.01 | +| TATN | Татнефть | BBG004RVFFC0 | rub | 1 | 0.1 | +| NKE | NIKE | BBG000C5HS04 | usd | 1 | 0.01 | +| SYY | Sysco | BBG000BTVJ25 | usd | 1 | 0.01 | +| NRG | NRG Energy | BBG000D8RG11 | usd | 1 | 0.01 | +| LRN | Stride, Inc | BBG000QSXPZ9 | usd | 1 | 0.01 | +| DLX | Deluxe Corp | BBG000BH6360 | usd | 1 | 0.01 | +| FTDR | Frontdoor, Inc. | BBG00H9MNDZ2 | usd | 1 | 0.01 | +| KHC | Kraft Heinz | BBG005CPNTQ2 | usd | 1 | 0.01 | +| FIVE | ГДР X5 RetailGroup | BBG00JXPFBN0 | rub | 1 | 0.5 | +| MSTT | Мостотрест | BBG004S68DD6 | rub | 10 | 0.05 | +| MMSI | MerIt Medical Systems Inc | BBG000C42VX0 | usd | 1 | 0.01 | +| WWD | Woodward Inc | BBG000BD53V2 | usd | 1 | 0.01 | +| BL | Blackline Inc | BBG0029KJVB0 | usd | 1 | 0.01 | +| AUPH | Aurinia Pharmaceuticals | BBG000BCRJM5 | usd | 1 | 0.01 | +| RHI | Robert Half | BBG000BS5DR2 | usd | 1 | 0.01 | +| ITW | Illinois Tool Works | BBG000BMBL90 | usd | 1 | 0.01 | +| ATGE | Adtalem Global Education Inc | BBG000DQBZJ7 | usd | 1 | 0.01 | +| INGN | Inogen Inc | BBG0021PH456 | usd | 1 | 0.01 | +| MTLR | Мечел | BBG004S68598 | rub | 1 | 0.01 | +| SAVE | Spirit Airlines Inc | BBG000BF6RQ9 | usd | 1 | 0.01 | +| OMF | OneMain Holdings | BBG005497GZ3 | usd | 1 | 0.01 | +| WISH | ContextLogic | BBG006DZTJ56 | usd | 1 | 0.01 | +| NUE | Nucor | BBG000BQ8KV2 | usd | 1 | 0.01 | +| QRVO | Qorvo | BBG007TJF1N7 | usd | 1 | 0.01 | +| THG | Hanover Insurance Group | BBG000FJH8W0 | usd | 1 | 0.01 | +| CG | Carlyle Group | BBG000BH3F20 | usd | 1 | 0.01 | +| NTCO | Natura & Co Holding S.A. | BBG00R4ZKPN5 | usd | 1 | 0.01 | +| ENPH | Enphase Energy Inc | BBG001R3MNY9 | usd | 1 | 0.01 | +| LAC | Lithium Americas Corp. | BBG000BGM5P8 | usd | 1 | 0.01 | +| LPLA | LPL Financial Holdings | BBG000P2TYL8 | usd | 1 | 0.01 | +| RRBI | Red River Bancshares | BBG000QKNLB2 | usd | 1 | 0.01 | +| BILL | Bill.com Holdings Inc | BBG00QVJV6V4 | usd | 1 | 0.01 | +| HYLN | Hyliion Holdings Corp. | BBG00N9MJTZ9 | usd | 1 | 0.01 | +| ELAN | Elanco Animal Health Inc | BBG00LJYS1P8 | usd | 1 | 0.01 | +| JOUT | Johnson Outdoors Inc | BBG000HCXFS4 | usd | 1 | 0.01 | +| IPGP | IPG Photonics Corporation | BBG000DCGRL8 | usd | 1 | 0.01 | +| BMI | Badger Meter Inc | BBG000BDGHD9 | usd | 1 | 0.01 | +| POST | Post Holdings Inc | BBG001WTBC36 | usd | 1 | 0.01 | +| UNFI | United Natural Foods | BBG000BXB1M5 | usd | 1 | 0.01 | +| STRA | Strategic Education Inc | BBG000GRZDV1 | usd | 1 | 0.01 | +| KALU | Kaiser Aluminum Corp | BBG000PKZDX4 | usd | 1 | 0.01 | +| CERN | Cerner | BBG000BFDLV8 | usd | 1 | 0.01 | +| QLYS | Qualys Inc | BBG000HT5G06 | usd | 1 | 0.01 | +| TTMI | TTM Technologies Inc | BBG000BYQ0B1 | usd | 1 | 0.01 | +| EEFT | Euronet Worldwide Inc | BBG000BMNBY1 | usd | 1 | 0.01 | +| ROP | Roper Technologies | BBG000F1ZSN5 | usd | 1 | 0.01 | +| CBT | Cabot Corporation | BBG000BF3WW4 | usd | 1 | 0.01 | +| PATK | Patrick Industries Inc | BBG000BQSBB2 | usd | 1 | 0.01 | +| TAK | Takeda Pharmaceutical Co Ltd | BBG000LF8708 | usd | 1 | 0.01 | +| SBRA | Sabra Health Care REIT | BBG000MTDW24 | usd | 1 | 0.01 | +| NWLI | National Western Life Group In | BBG008HNHZ07 | usd | 1 | 0.01 | +| ATUS | Altice USA Inc | BBG00GFMPRK0 | usd | 1 | 0.01 | +| CARA | Cara Therapeutics Inc | BBG001J2QYS9 | usd | 1 | 0.01 | +| TXT | Textron | BBG000BVVQQ8 | usd | 1 | 0.01 | +| ARVN | Arvinas Inc | BBG00LW7YK82 | usd | 1 | 0.01 | +| TEX | Terex Corporation | BBG000C7B436 | usd | 1 | 0.01 | +| BTAI | BioXcel Therapeutics | BBG00K20GVD2 | usd | 1 | 0.01 | +| CASY | Casey's General Stores Inc | BBG000BF0672 | usd | 1 | 0.01 | +| SLG | SL Green REIT | BBG000BVP5P2 | usd | 1 | 0.01 | +| AIZ | Assurant | BBG000BZX1N5 | usd | 1 | 0.01 | +| DKS | Dick's Sporting Goods Inc | BBG000F6ZWH2 | usd | 1 | 0.01 | +| KEYS | Keysight Technologies Inc | BBG0059FN811 | usd | 1 | 0.01 | +| FSR | Fisker | BBG00LPWLFD4 | usd | 1 | 0.01 | +| PBH | Prestige Consumer Healthcare I | BBG000QM0RZ4 | usd | 1 | 0.01 | +| NU | Nubank | BBG0136WM1M4 | usd | 1 | 0.01 | +| OSK | Oshkosh Corporation | BBG000CC53X1 | usd | 1 | 0.01 | +| HII | Huntington Ingalls Industries Inc | BBG001KJ2HM9 | usd | 1 | 0.01 | +| UWGN | ОВК | BBG008HD3V85 | rub | 1 | 0.1 | +| NVAX | Novavax | BBG000NVSBL7 | usd | 1 | 0.01 | +| ZEN | Zendesk Inc | BBG001HRFJG4 | usd | 1 | 0.01 | +| FRE@DE | Fresenius SE | BBG000BS3CD1 | eur | 1 | 0.01 | +| CLB | Core Laboratories N.V. | BBG000JKCWS0 | usd | 1 | 0.01 | +| WSC | WillScot Mobile Mini Holdings | BBG00B0FS947 | usd | 1 | 0.01 | +| INVH | Invitation Homes REIT | BBG00FQH6BS9 | usd | 1 | 0.01 | +| Y | Alleghany Corp | BBG000BX6BJ3 | usd | 1 | 0.01 | +| AKRN | Акрон | BBG004S688G4 | rub | 1 | 2 | +| SFM | Sprouts Farmers Market Inc | BBG001KFKQM7 | usd | 1 | 0.01 | +| MSTR | MicroStrategy Inc | BBG000GQJPZ0 | usd | 1 | 0.01 | +| SNBR | Sleep Number Corp | BBG000DM2BF3 | usd | 1 | 0.01 | +| BHF | Brighthouse Financial | BBG00DYPZ4T0 | usd | 1 | 0.01 | +| SKIN | The Beauty Health Company | BBG00XKM1DC3 | usd | 1 | 0.01 | +| AMH | American Homes 4 Rent REIT | BBG003NXJNH6 | usd | 1 | 0.01 | +| GAZP | Газпром | BBG004730RP0 | rub | 10 | 0.01 | +| EVK@DE | Evonik Industries AG | BBG001PD3L10 | eur | 1 | 0.01 | +| STAA | STAAR Surgical Co | BBG000C4QB95 | usd | 1 | 0.01 | +| HNP | Huaneng Power International | BBG000BX5YM0 | usd | 1 | 0.01 | +| CTSH | Cognizant Technology Solutions | BBG000BBDV81 | usd | 1 | 0.01 | +| JBT | John Bean Technologies | BBG000VLBCQ1 | usd | 1 | 0.01 | +| DVEC | ДЭК | BBG000V07CB8 | rub | 1000 | 0.001 | +| MAA | Mid-America Apartment REIT | BBG000BLMY92 | usd | 1 | 0.01 | +| UI | Ubiquiti Inc | BBG001R72SR9 | usd | 1 | 0.01 | +| CRI | Carter's Inc | BBG000CTM4J9 | usd | 1 | 0.01 | +| MRK@DE | Merck KGaA | BBG000BX4S53 | eur | 1 | 0.01 | +| CMS | CMS Energy Corporation | BBG000BFVXX0 | usd | 1 | 0.01 | +| RNG | RingCentral Inc | BBG000J094P3 | usd | 1 | 0.01 | +| DY | Dycom Industries Inc | BBG000C4SKT1 | usd | 1 | 0.01 | +| 9988 | Alibaba | BBG00QV37ZP9 | hkd | 10 | 0.05 | +| HSY | Hershey | BBG000BLHRS2 | usd | 1 | 0.01 | +| IBN | ICICI Bank | BBG000DRM643 | usd | 1 | 0.01 | +| LH | LabCorp | BBG000D9DMK0 | usd | 1 | 0.01 | +| STNE | StoneCo | BBG00M4ZQDK0 | usd | 1 | 0.01 | +| AMT | American Tower REIT | BBG000B9XYV2 | usd | 1 | 0.01 | +| XEL | Xcel Energy | BBG000BCTQ65 | usd | 1 | 0.01 | +| SBERP | Сбер Банк - привилегированные акции | BBG0047315Y7 | rub | 10 | 0.01 | +| CVGW | Calavo Growers Inc | BBG000BGPQW1 | usd | 1 | 0.01 | +| PH | Parker-Hannifin | BBG000BR3KL6 | usd | 1 | 0.01 | +| RTKM | Ростелеком | BBG004S682Z6 | rub | 10 | 0.01 | +| BH | Biglari Holdings Inc | BBG00JPRDQH1 | usd | 1 | 0.01 | +| CHTR | Charter Communications | BBG000VPGNR2 | usd | 1 | 0.01 | +| VC | Visteon Corp | BBG0016T3GQ0 | usd | 1 | 0.01 | +| EXPO | Exponent, Inc. | BBG000F31Z34 | usd | 1 | 0.01 | +| KMPR | Kemper | BBG000H3GDJ8 | usd | 1 | 0.01 | +| CRNC | Cerence | BBG00MMDJG84 | usd | 1 | 0.01 | +| JNPR | Juniper Networks | BBG000BY33P5 | usd | 1 | 0.01 | +| COOP | Mr. Cooper Group | BBG002V098F7 | usd | 1 | 0.01 | +| LENT | Лента | BBG0063FKTD9 | rub | 1 | 0.5 | +| FTNT | Fortinet Inc | BBG000BCMBG4 | usd | 1 | 0.01 | +| LIFE | Фармсинтез | BBG0019K04R5 | rub | 100 | 0.005 | +| AES | The AES Corporation | BBG000C23KJ3 | usd | 1 | 0.01 | +| EQR | Equity Residential REIT | BBG000BG8M31 | usd | 1 | 0.01 | +| BIO | Bio-Rad Laboratories Inc | BBG000DY28W5 | usd | 1 | 0.01 | +| IOVA | Iovance Biotherapeutics Inc | BBG000FTLBV7 | usd | 1 | 0.01 | +| NEU | NewMarket Corp | BBG000BJ5SS8 | usd | 1 | 0.01 | +| ALLY | Ally Financial Inc | BBG000BC2R71 | usd | 1 | 0.01 | +| ESGR | Enstar Group | BBG000NQKP71 | usd | 1 | 0.01 | +| AMG | Affiliated Managers Group | BBG000C060M4 | usd | 1 | 0.01 | +| KOD | Kodiak Sciences Inc | BBG00BVR0D02 | usd | 1 | 0.01 | +| INSG | Inseego Corp | BBG00DWX7QH0 | usd | 1 | 0.01 | +| FRPH | FRP Holdings Inc | BBG000HCVWW4 | usd | 1 | 0.01 | +| BSPB | Банк Санкт-Петербург | BBG000QJW156 | rub | 10 | 0.01 | +| TMX | Terminix Global Holdings | BBG002WMH2F2 | usd | 1 | 0.01 | +| MTSS | МТС | BBG004S681W1 | rub | 10 | 0.05 | +| DV | DoubleVerify Holdings, Inc. | BBG00ZNRRJM2 | usd | 1 | 0.01 | +| KDP | Keurig Dr Pepper | BBG000TJM7F0 | usd | 1 | 0.01 | +| QNCX | Quince Therapeutics | BBG00BTK1DT8 | usd | 1 | 0.01 | +| AM | Antero Midstream Corp | BBG00GBNZ4M0 | usd | 1 | 0.01 | +| CSCO | Cisco | BBG000C3J3C9 | usd | 1 | 0.01 | +| GIS | General Mills | BBG000BKCFC2 | usd | 1 | 0.01 | +| WIX | Wix.com Ltd | BBG005CM7J89 | usd | 1 | 0.01 | +| NFE | New Fortress Energy | BBG00MJH9LC4 | usd | 1 | 0.01 | +| FSLY | Fastly Inc | BBG004NLQHL0 | usd | 1 | 0.01 | +| RRC | Range Resources | BBG000FVXD63 | usd | 1 | 0.01 | +| NJR | New Jersey Resources Corp | BBG000BPZVW9 | usd | 1 | 0.01 | +| ONEM | 1Life Healthcare | BBG0026ZDDQ0 | usd | 1 | 0.01 | +| CHKP | Check Point Software Technologies Ltd | BBG000K82ZT8 | usd | 1 | 0.01 | +| AYX | Alteryx Inc | BBG000BGZT72 | usd | 1 | 0.01 | +| BILI | Bilibili Inc | BBG00K7T3037 | usd | 1 | 0.01 | +| MOMO | Hello Group | BBG007HTCQT0 | usd | 1 | 0.01 | +| TGKN | ТГК-14 | BBG000RG4ZQ4 | rub | 1000000 | 0.00001 | +| CMCO | Columbus McKinnon Corp | BBG000BCWWV0 | usd | 1 | 0.01 | +| BKR | Baker Hughes | BBG00GBVBK51 | usd | 1 | 0.01 | +| TRNFP | Транснефть - привилегированные акции | BBG00475KHX6 | rub | 1 | 50 | +| VFC | VF | BBG000BWCKB6 | usd | 1 | 0.01 | +| BTI | British American Tobacco | BBG000BWPXQ8 | usd | 1 | 0.01 | +| RKKE | РКК Энергия им.С.П.Королева | BBG000LWNRP3 | rub | 1 | 10 | +| OI | O-I Glass | BBG00R2JZG39 | usd | 1 | 0.01 | +| EXP | Eagle Materials Inc | BBG000BJW241 | usd | 1 | 0.01 | +| DHI | D.R. Horton | BBG000DQTXY6 | usd | 1 | 0.01 | +| SXT | Sensient Technologies Corp | BBG000J79P80 | usd | 1 | 0.01 | +| EXC | Exelon Corporation | BBG000J6XT05 | usd | 1 | 0.01 | +| LSNG | Ленэнерго | BBG000NLC9Z6 | rub | 100 | 0.01 | +| WABC | Westamerica Bancorporation | BBG000DD3KP1 | usd | 1 | 0.01 | +| LUV | Southwest Airlines | BBG000BNJHS8 | usd | 1 | 0.01 | +| RENI | Ренессанс Страхование | BBG00QKJSX05 | rub | 10 | 0.01 | +| PEG | Public Service Enterprise Group | BBG000BQZMH4 | usd | 1 | 0.01 | +| SYF | Synchrony Financial | BBG00658F3P3 | usd | 1 | 0.01 | +| INFO | IHS Markit | BBG006G063F9 | usd | 1 | 0.01 | +| ADUS | Addus HomeCare Corp | BBG000NJGX84 | usd | 1 | 0.01 | +| SSD | Simpson Manufacturing Co Inc | BBG000JLC8L8 | usd | 1 | 0.01 | +| HRB | H&R Block | BBG000BLDV98 | usd | 1 | 0.01 | +| OLN | Olin Corp | BBG000BQHTV3 | usd | 1 | 0.01 | +| ALTR | Altair Engineering Inc | BBG000PN9NB9 | usd | 1 | 0.01 | +| VLO | Valero Energy Corporation | BBG000BBGGQ1 | usd | 1 | 0.01 | +| MOV | Movado Group Inc | BBG000BL30Y9 | usd | 1 | 0.01 | +| MRKC | Россети Центр | BBG000VH7TZ8 | rub | 1000 | 0.0002 | +| GKOS | Glaukos Corp | BBG000WG2LQ1 | usd | 1 | 0.01 | +| HIBB | Hibbett, Inc. | BBG000H001V3 | usd | 1 | 0.01 | +| EPAM | EPAM Systems | BBG000MHTV89 | usd | 1 | 0.01 | +| AMBA | Ambarella | BBG001QZCPJ2 | usd | 1 | 0.01 | +| UTL | Unitil Corporation | BBG000BW7X97 | usd | 1 | 0.01 | +| KBH | KB Home | BBG000BMLWX8 | usd | 1 | 0.01 | +| NVST | Envista Holdings | BBG00LN4B5N0 | usd | 1 | 0.01 | +| CCK | Crown Holdings Inc | BBG000BF6756 | usd | 1 | 0.01 | +| AFL | Aflac Incorporated | BBG000BBBNC6 | usd | 1 | 0.01 | +| ABMD | Abiomed Inc | BBG000C101X4 | usd | 1 | 0.01 | +| REG | Regency Centers REIT | BBG000BL46Q4 | usd | 1 | 0.01 | +| STZ | Constellation Brands | BBG000J1QLT0 | usd | 1 | 0.01 | +| GT | Goodyear Tire & Rubber | BBG000BKNX95 | usd | 1 | 0.01 | +| SAM | Boston Beer Co Inc The | BBG000BCZBF1 | usd | 1 | 0.01 | +| CINF | Cincinnati Financial Corporation | BBG000BFPK65 | usd | 1 | 0.01 | +| ACMR | ACM Research Inc | BBG00HPSG933 | usd | 1 | 0.01 | +| KWR | Quaker Chemical Corp | BBG000DZS2L9 | usd | 1 | 0.01 | +| GL | Globe Life Inc | BBG000BVD6X4 | usd | 1 | 0.01 | +| HAE | Haemonetics Corp | BBG000C7TF41 | usd | 1 | 0.01 | +| CDAY | Ceridian HCM Holding | BBG005D7PF34 | usd | 1 | 0.01 | +| CRUS | Cirrus Logic Inc | BBG000C1DHF5 | usd | 1 | 0.01 | +| EXR | Extra Space Storage REIT | BBG000PV27K3 | usd | 1 | 0.01 | +| ROL | Rollins | BBG000BSBBP1 | usd | 1 | 0.01 | +| TNL | Travel + Leisure Co. | TBG000PV2L86 | usd | 1 | 0.01 | +| LNG | Cheniere Energy | BBG000C3HSR0 | usd | 1 | 0.01 | +| POSI | Positive Technologies | TCS00A103X66 | rub | 1 | 0.2 | +| QGEN | QIAGEN NV | BBG000GTYWL7 | usd | 1 | 0.01 | +| MARA | Marathon Digital Holdings | BBG001K7WBT8 | usd | 1 | 0.01 | +| BSX | Boston Scientific Corporation | BBG000C0LW92 | usd | 1 | 0.01 | +| VCRA | Vocera Communications Inc | BBG00179VSY7 | usd | 1 | 0.01 | +| SPB@US | Spectrum Brands Holdings Inc | BBG000DS5588 | usd | 1 | 0.01 | +| NFG | National Fuel Gas Company | BBG000BPYD87 | usd | 1 | 0.01 | +| WRB | WR Berkley | BBG000BD1HP2 | usd | 1 | 0.01 | +| JWN | Nordstrom | BBG000G8N9C6 | usd | 1 | 0.01 | +| CEVA | CEVA | BBG000BN3P07 | usd | 1 | 0.01 | +| ENV | Envestnet Inc | BBG000Q4NZ54 | usd | 1 | 0.01 | +| RL | Ralph Lauren | BBG000BS0ZF1 | usd | 1 | 0.01 | +| POGR | Petropavlovsk PLC | BBG00VPKLPX4 | rub | 100 | 0.005 | +| CVNA | Carvana Co | BBG00GCTWDJ3 | usd | 1 | 0.01 | +| RPM | RPM International Inc | BBG000DCNK80 | usd | 1 | 0.01 | +| CCS | Century Communities | BBG006G412Q6 | usd | 1 | 0.01 | +| FEES | ФСК ЕЭС | BBG00475JZZ6 | rub | 10000 | 0.00002 | +| LSI | Life Storage REIT | BBG000C42VL3 | usd | 1 | 0.01 | +| SWAV | Shockwave Medical Inc | BBG005XVXML5 | usd | 1 | 0.01 | +| FIGS | FIGS | BBG004SK5VL9 | usd | 1 | 0.01 | +| CNS | Cohen & Steers Inc | BBG000BB0WG4 | usd | 1 | 0.01 | +| KMB | Kimberly-Clark | BBG000BMW2Z0 | usd | 1 | 0.01 | +| JNJ | Johnson & Johnson | BBG000BMHYD1 | usd | 1 | 0.01 | +| MQ | Marqeta, Inc. | BBG0112Z87D8 | usd | 1 | 0.01 | +| KMI | Kinder Morgan | BBG0019JZ882 | usd | 1 | 0.01 | +| DASB | Дагестанская энергосбытовая компания | BBG000LWVHN8 | rub | 1000 | 0.0001 | +| PLNT | Planet FItness Inc | BBG009H04M17 | usd | 1 | 0.01 | +| ZD | Ziff Davis | BBG000F3CWW7 | usd | 1 | 0.01 | +| KROT | Красный Октябрь | BBG000NLB2G3 | rub | 10 | 0.5 | +| SMPL | Simply Good Foods Co | BBG00GVP5JL4 | usd | 1 | 0.01 | +| ROKU | Roku Inc | BBG001ZZPQJ6 | usd | 1 | 0.01 | +| KMX | CarMax | BBG000BLMZK6 | usd | 1 | 0.01 | +| NWE | NorthWestern Corporation | BBG000Q1NMJ4 | usd | 1 | 0.01 | +| KAZT | КуйбышевАзот | BBG002B9MYC1 | rub | 10 | 0.2 | +| APAM | Artisan Partners Asset Management | BBG001M6CZY1 | usd | 1 | 0.01 | +| ZG | Zillow Group Inc | BBG000D13GN8 | usd | 1 | 0.01 | +| ATVI | Activision Blizzard | BBG000CVWGS6 | usd | 1 | 0.01 | +| SWCH | Switch Inc | BBG00HPDM5Z2 | usd | 1 | 0.01 | +| HST | Host Hotels & Resorts REIT | BBG000BL8804 | usd | 1 | 0.01 | +| PUBM | PubMatic | BBG001PKMK06 | usd | 1 | 0.01 | +| TAP | Molson Coors Brewing | BBG000BS7KS3 | usd | 1 | 0.01 | +| EVH | Evolent Health Inc | BBG005CHLM96 | usd | 1 | 0.01 | +| AVAV | AeroVironment Inc | BBG000GX14P2 | usd | 1 | 0.01 | +| MDGL | Madrigal Pharmaceuticals Inc | BBG000QS6NV8 | usd | 1 | 0.01 | +| Z | Zillow Group Inc | BBG009NRSWJ4 | usd | 1 | 0.01 | +| UNM | Unum | BBG000BW2QX0 | usd | 1 | 0.01 | +| PSN | Parsons | BBG000C3TKY6 | usd | 1 | 0.01 | +| JPM | JPMorgan | BBG000DMBXR2 | usd | 1 | 0.01 | +| RUGR | Русгрэйн | BBG0014PFYM2 | rub | 10 | 0.002 | +| KFY | Korn Ferry | BBG000C5QMB5 | usd | 1 | 0.01 | +| TTEK | Tetra Tech | BBG000BYZ0Q5 | usd | 1 | 0.01 | +| PMSB | Пермэнергосбыт | BBG000MZL0Y6 | rub | 10 | 0.1 | +| SLVM | Sylvamo Corp. | BBG0122M8031 | usd | 1 | 0.01 | +| PRFN | ЧЗПСН | BBG003BNWBP3 | rub | 100 | 0.001 | +| FGEN | FIBROGEN INC | BBG000FW5ZL6 | usd | 1 | 0.01 | +| SOHU | Sohu.com | BBG00L2DB535 | usd | 1 | 0.01 | +| MEI | Methode Electronics Inc | BBG000BNY197 | usd | 1 | 0.01 | +| META | Meta Platforms | BBG000MM2P62 | usd | 1 | 0.01 | +| ABCL | AbCellera Biologics | BBG00LLW2MF2 | usd | 1 | 0.01 | +| S | SentinelOne, Inc. | BBG00B6F2F09 | usd | 1 | 0.01 | +| WOLF | Wolfspeed | BBG000BG14P4 | usd | 1 | 0.01 | +| MTG | MGIC Investment Corp | BBG000CBMH27 | usd | 1 | 0.01 | +| NFLX | Netflix | BBG000CL9VN6 | usd | 1 | 0.01 | +| ED | Consolidated Edison | BBG000BHLYS1 | usd | 1 | 0.01 | +| SIBN | Газпром нефть | BBG004S684M6 | rub | 1 | 0.05 | +| WY | Weyerhaeuser REIT | BBG000BX3BL3 | usd | 1 | 0.01 | +| INDB | Independent Bank Corp | BBG000BM0597 | usd | 1 | 0.01 | +| MRK | Merck | BBG000BPD168 | usd | 1 | 0.01 | +| VSCO | Victorias Secret & Co. | BBG01103B471 | usd | 1 | 0.01 | +| BCO | Brink's Co | BBG000DR5QP5 | usd | 1 | 0.01 | +| NPK | National Presto Industries Inc | BBG000BQ4GG2 | usd | 1 | 0.01 | +| YAKG | ЯТЭК | BBG002B298N6 | rub | 10 | 0.05 | +| EQIX | Equinix REIT | BBG000MBDGM6 | usd | 1 | 0.01 | +| VIPS | Vipshop | BBG002NLDLV8 | usd | 1 | 0.01 | +| ELV | Elevance Health | BBG000BCG930 | usd | 1 | 0.01 | +| UMBF | UMB Financial | BBG000DD8WX1 | usd | 1 | 0.01 | +| CFLT | Confluent | BBG007HWGYQ5 | usd | 1 | 0.01 | +| TGKB | ТГК-2 | BBG000Q7GG57 | rub | 1000000 | 0.000005 | +| XRAY | Dentsply Sirona | BBG000BX57K1 | usd | 1 | 0.01 | +| D | Dominion Energy Inc | BBG000BGVW60 | usd | 1 | 0.01 | +| GO | Grocery Outlet Holding Corp | BBG00P4R3079 | usd | 1 | 0.01 | +| GOSS | Gossamer Bio Inc | BBG00MVWLLM2 | usd | 1 | 0.01 | +| BRK.B | Berkshire Hathaway | BBG000DWG505 | usd | 1 | 0.01 | +| BRC | Brady | BBG000BDNV95 | usd | 1 | 0.01 | +| URBN | Urban Outfitters | BBG000BL79J3 | usd | 1 | 0.01 | +| CE | Celanese Corp | BBG000JYP7L8 | usd | 1 | 0.01 | +| KLSB | Калужская сбытовая компания | BBG000DBD6F6 | rub | 100 | 0.01 | +| NXPI | NXP Semiconductors NV | BBG000BND699 | usd | 1 | 0.01 | +| CARG | Cargurus Inc | BBG00HQ77DS2 | usd | 1 | 0.01 | +| GE | General Electric Company | BBG000BK6MB5 | usd | 1 | 0.01 | +| AMGN | Amgen | BBG000BBS2Y0 | usd | 1 | 0.01 | +| HOT@DE | Hochtief AG | BBG000BC3WH8 | eur | 1 | 0.01 | +| CHMK | ЧМК | BBG000RP8V70 | rub | 1 | 5 | +| MTX@DE | MTU Aero Engines AG | BBG000BVTPQ3 | eur | 1 | 0.01 | +| KLIC | Kulicke & Soffa Industries | BBG000BMTX31 | usd | 1 | 0.01 | +| MGA | Magna International Inc. | BBG000BNLPJ7 | usd | 1 | 0.01 | +| WIRE | Encore Wire Corporation | BBG000CQCCK6 | usd | 1 | 0.01 | +| VLDR | Velodyne Lidar | BBG00M0X4584 | usd | 1 | 0.01 | +| HBI | Hanesbrands | BBG000D2ZTS8 | usd | 1 | 0.01 | +| CPNG | Coupang, Inc. | BBG00XMJRPQ8 | usd | 1 | 0.01 | +| HIW | Highwoods Properties | BBG000C43744 | usd | 1 | 0.01 | +| UNF | UniFirst Corp MA | BBG000BW29L1 | usd | 1 | 0.01 | +| CALM | Cal-Maine Foods Inc | BBG000CDMJW6 | usd | 1 | 0.01 | +| WPM | Wheaton Precious Metals | BBG000PVRDL2 | usd | 1 | 0.01 | +| BALL | Ball Corporation | BBG000BDDNH5 | usd | 1 | 0.01 | +| RNFT | РуссНефть | BBG00F9XX7H4 | rub | 1 | 0.2 | +| MSRS | МОЭСК | BBG004S687G6 | rub | 1000 | 0.0005 | +| MRVI | Maravai LifeSciences Holdings | BBG00Y1DFV91 | usd | 1 | 0.01 | +| DAR | Darling Ingredients Inc | BBG000BN8ZK8 | usd | 1 | 0.01 | +| PXD | Pioneer Natural Resources | BBG000BXRPH1 | usd | 1 | 0.01 | +| PFSI | PennyMac Financial Services | BBG00LMYX123 | usd | 1 | 0.01 | +| HGV | Hilton Grand Vacations Inc | BBG00CBYY6M1 | usd | 1 | 0.01 | +| SWBI | Smith & Wesson Brands | BBG000BM0QL7 | usd | 1 | 0.01 | +| CENT | Central Garden & Pet Co | BBG000BFD605 | usd | 1 | 0.01 | +| AYI | Acuity Brands | BBG000BJ5HK0 | usd | 1 | 0.01 | +| ASGN | ASGN Inc | BBG000CRN8N8 | usd | 1 | 0.01 | +| SU | Suncor Energy | BBG000BRK7L6 | usd | 1 | 0.01 | +| DNOW | NOW Inc | BBG005BLN209 | usd | 1 | 0.01 | +| RSTI | Российские сети | BBG004S682J4 | rub | 1000 | 0.0001 | +| CHDN | Churchill Downs Inc | BBG000BGXMG9 | usd | 1 | 0.01 | +| PHM | PulteGroup | BBG000BR54L0 | usd | 1 | 0.01 | +| ESPR | Esperion Therapeutics Inc | BBG004KB3S72 | usd | 1 | 0.01 | +| VRSK | Verisk Analytics | BBG000BCZL41 | usd | 1 | 0.01 | +| CC | Chemours Company | BBG005H82GB2 | usd | 1 | 0.01 | +| EAF | GrafTech International Ltd | BBG00KDYT8C4 | usd | 1 | 0.01 | +| MRKZ | Россети Северо-Запад | BBG000TJ6F42 | rub | 10000 | 0.00005 | +| MSI | Motorola Solutions | BBG000BP8Z50 | usd | 1 | 0.01 | +| ICFI | ICF International, Inc. | BBG000BBXVK5 | usd | 1 | 0.01 | +| LW | Lamb Weston Holdings Inc | BBG003CVMLQ2 | usd | 1 | 0.01 | +| WHD | Cactus Inc | BBG00JRH1P95 | usd | 1 | 0.01 | +| ATO | Atmos Energy Corp | BBG000BRNGM2 | usd | 1 | 0.01 | +| APTK | Аптечная сеть 36,6 | BBG000K3STR7 | rub | 10 | 0.002 | +| 9618 | JD.com | BBG00VC6RYV6 | hkd | 10 | 0.2 | +| COST | Costco Wholesale | BBG000F6H8W8 | usd | 1 | 0.01 | +| CVX | Chevron | BBG000K4ND22 | usd | 1 | 0.01 | +| SYNA | Synaptics Inc | BBG000BQV1S2 | usd | 1 | 0.01 | +| MMI | Marcus & Millichap Inc | BBG005GBRSR6 | usd | 1 | 0.01 | +| AIV | Apartment Investment & Management REIT | BBG000DD3510 | usd | 1 | 0.01 | +| EGP | EastGroup Properties REIT | BBG000BHRBT4 | usd | 1 | 0.01 | +| 1810 | Xiaomi | BBG00KVTBY91 | hkd | 100 | 0.01 | +| TNC | Tennant Company | BBG000JCZJS2 | usd | 1 | 0.01 | +| RJF | Raymond James Financial | BBG000BS73J1 | usd | 1 | 0.01 | +| AIT | Applied Industrial Technologies | BBG000BBHHP9 | usd | 1 | 0.01 | +| ROCK | Gibraltar Industries Inc | BBG000BKQDQ7 | usd | 1 | 0.01 | +| LFC | China Life Insurance | BBG000BBK4B9 | usd | 1 | 0.01 | +| DVN | Devon Energy | BBG000BBVJZ8 | usd | 1 | 0.01 | +| CON@DE | Continental AG | BBG000BBZBV5 | eur | 1 | 0.01 | +| CTXS | Citrix Systems | BBG000FQ6PY6 | usd | 1 | 0.01 | +| AVA | Avista Corporation | BBG000BCNF74 | usd | 1 | 0.01 | +| ARWR | Arrowhead Pharmaceuticals Inc | BBG000BRVKH0 | usd | 1 | 0.01 | +| CME | CME GROUP | BBG000BHLYP4 | usd | 1 | 0.01 | +| AXGN | Axogen Inc | BBG000BN46R9 | usd | 1 | 0.01 | +| FANG | Diamondback Energy Inc | BBG002PHSYX9 | usd | 1 | 0.01 | +| CZR | Caesars Entertainment Corporation | BBG0074Q3NK6 | usd | 1 | 0.01 | +| MSST | Мультисистема | BBG001BBSZV8 | rub | 100 | 0.001 | +| ACM | AECOM | BBG000F61RJ8 | usd | 1 | 0.01 | +| PLUS | ePlus Inc | BBG000HN7W02 | usd | 1 | 0.01 | +| JBL | Jabil Inc. | BBG000BJNGN9 | usd | 1 | 0.01 | +| SBNY | Signature Bank | BBG000M6TR37 | usd | 1 | 0.01 | +| NTRA | Natera inc | BBG001J1BQ86 | usd | 1 | 0.01 | +| AAL | American Airlines Group | BBG005P7Q881 | usd | 1 | 0.01 | +| BSY | Bentley Systems | BBG000BMSRR9 | usd | 1 | 0.01 | +| DEI | Douglas Emmett REIT | BBG000PN1SJ8 | usd | 1 | 0.01 | +| FMC | FMC | BBG000BJP882 | usd | 1 | 0.01 | +| QIWI | QIWI | BBG005D1WCQ1 | rub | 1 | 0.5 | +| PFG | Principal Financial Group | BBG000NSCNT7 | usd | 1 | 0.01 | +| CNXN | PC Connection Inc | BBG000BX74M4 | usd | 1 | 0.01 | +| OTIS | Otis Worldwide | BBG00RP60KV0 | usd | 1 | 0.01 | +| IRAO | Интер РАО ЕЭС | BBG004S68473 | rub | 100 | 0.0005 | +| 2382 | Sunny Optical Technology | BBG000C16952 | hkd | 10 | 0.05 | +| AERI | Aerie Pharmaceuticals Inc | BBG001KJ7WJ5 | usd | 1 | 0.01 | +| LNN | Lindsay Corporation | BBG000FJS1S8 | usd | 1 | 0.01 | +| MAN | ManpowerGroup Inc | BBG000BNMHS4 | usd | 1 | 0.01 | +| BG | Bunge | BBG000DGPR66 | usd | 1 | 0.01 | +| DLR | Digital Realty REIT | BBG000Q5ZRM7 | usd | 1 | 0.01 | +| BAYN@DE | Bayer | BBG000BBWF85 | eur | 1 | 0.01 | +| RYTM | Rhythm Pharmaceuticals Inc | BBG007DLZ601 | usd | 1 | 0.01 | +| PYPL | PayPal Holdings | BBG0077VNXV6 | usd | 1 | 0.01 | +| DOV | Dover | BBG000BHB3M6 | usd | 1 | 0.01 | +| THRM | Gentherm Inc | BBG000BQLM34 | usd | 1 | 0.01 | +| KTOS | Kratos Defense & Security Solutions | BBG000C1HQ43 | usd | 1 | 0.01 | +| 1113 | CK Asset Holdings | BBG007WDD4B5 | hkd | 10 | 0.05 | +| VALE | Vale SA | BBG000BN5LG7 | usd | 1 | 0.01 | +| HYDR | РусГидро | BBG00475K2X9 | rub | 1000 | 0.0001 | +| AGNC | AGNC Investment REIT | BBG000TJ8XZ7 | usd | 1 | 0.01 | +| ADSK | Autodesk | BBG000BM7HL0 | usd | 1 | 0.01 | +| FIZZ | National Beverage Corp | BBG000BF8CB6 | usd | 1 | 0.01 | +| AZPN | Aspen Technology | BBG017J18W74 | usd | 1 | 0.01 | +| SPSC | SPS Commerce Inc | BBG000PZGB75 | usd | 1 | 0.01 | +| OSH | Oak Street Health | BBG00W0L8GW3 | usd | 1 | 0.01 | +| AMEH | Apollo Medical Holdings | BBG000H7ZK57 | usd | 1 | 0.01 | +| PNFP | Pinnacle Financial Partners In | BBG000C1XKF6 | usd | 1 | 0.01 | +| TRU | TransUnion | BBG002Q7J5Z1 | usd | 1 | 0.01 | +| VEON | VEON | BBG000QCW561 | usd | 1 | 0.01 | +| ARCH | Arch Coal Inc | BBG00DZB5D77 | usd | 1 | 0.01 | +| SO | Southern | BBG000BT9DW0 | usd | 1 | 0.01 | +| FORM | FormFactor Inc | BBG000D1Y3P1 | usd | 1 | 0.01 | +| STOR | STORE Capital Corp REIT | BBG00265T6Q4 | usd | 1 | 0.01 | +| ROK | Rockwell Automation | BBG000BBCDZ2 | usd | 1 | 0.01 | +| TFII | TFI International | BBG000HJS1F0 | usd | 1 | 0.01 | +| TGKD | Квадра | BBG000F6H7K3 | rub | 100000 | 0.000005 | +| DOCU | DocuSign Inc | BBG000N7KJX8 | usd | 1 | 0.01 | +| GPI | Group 1 Automotive Inc | BBG000BB88K4 | usd | 1 | 0.01 | +| SLGN | Silgan Holdings Inc. | BBG000BPDDB6 | usd | 1 | 0.01 | +| SQSP | Squarespace, Inc. | BBG00389GQ73 | usd | 1 | 0.01 | +| ZI | ZoomInfo Technologies Inc | BBG00S1HJ3M8 | usd | 1 | 0.01 | +| BLMN | Bloomin Brands, Inc. | BBG002VZ68Y2 | usd | 1 | 0.01 | +| ATRA | Atara Biotherapeutics Inc | BBG005Q3MQY4 | usd | 1 | 0.01 | +| ELY | Callaway Golf Company | BBG000CPCVY1 | usd | 1 | 0.01 | +| HLI | Houlihan Lokey, Inc. | BBG000CZTB66 | usd | 1 | 0.01 | +| DWNI@DE | Deutsche Wohnen SE | BBG000GM6Y84 | eur | 1 | 0.01 | +| PLD | Prologis REIT | BBG000B9Z0J8 | usd | 1 | 0.01 | +| PIPR | Piper Sandler Companies | BBG000FQXC75 | usd | 1 | 0.01 | +| UBS | UBS Group | BBG007DJM539 | usd | 1 | 0.01 | +| 288 | WH Group | BBG00699M8Q7 | hkd | 100 | 0.01 | +| AVGO | Broadcom | BBG00KHY5S69 | usd | 1 | 0.01 | +| VPG | Vishay Precision Group Inc | BBG000PRQ0V9 | usd | 1 | 0.01 | +| NVTA | Invitae Corp | BBG005DJFD43 | usd | 1 | 0.01 | +| PCH | PotlatchDeltic Corporation REIT | BBG000BQX2N3 | usd | 1 | 0.01 | +| CRWD | Crowdstrike Holdings Inc | BBG00BLYKS03 | usd | 1 | 0.01 | +| CORT | Corcept Therapeutics Inc | BBG000BKJG33 | usd | 1 | 0.01 | +| REYN | Reynolds Consumer Products Inc. | BBG00QVJVYB5 | usd | 1 | 0.01 | +| LLY | Eli Lilly & Co | BBG000BNBDC2 | usd | 1 | 0.01 | +| TROW | T Rowe Price Group | BBG000BVMPN3 | usd | 1 | 0.01 | +| SOFI | SoFi Technologies | BBG00YB1ZD58 | usd | 1 | 0.01 | +| MC | Moelis & Co | BBG000RNBH63 | usd | 1 | 0.01 | +| ATRI | Atrion Corp | BBG000DTT624 | usd | 1 | 0.01 | +| NSVZ | Наука-Связь | BBG002BCQK67 | rub | 10 | 0.5 | +| CRVL | CorVel Corp | BBG000CVKZY0 | usd | 1 | 0.01 | +| WDC | Western Digital | BBG000BWNFZ9 | usd | 1 | 0.01 | +| GM | General Motors | BBG000NDYB67 | usd | 1 | 0.01 | +| AEE | Ameren | BBG000B9X8C0 | usd | 1 | 0.01 | +| MCRI | Monarch Casino & Resort Inc | BBG000BJ0932 | usd | 1 | 0.01 | +| MVIS | MicroVision | BBG000BVKXQ5 | usd | 1 | 0.01 | +| NLMK | НЛМК | BBG004S681B4 | rub | 10 | 0.02 | +| BELU | Белуга Групп ПАО ао | BBG000TY1CD1 | rub | 1 | 1 | +| MET | MetLife | BBG000BB6KF5 | usd | 1 | 0.01 | +| GCHE | Группа Черкизово | BBG000RTHVK7 | rub | 1 | 0.5 | +| WB | Weibo Corporation | BBG0065XPGX9 | usd | 1 | 0.01 | +| LNZLP | Лензолото - привилегированные акции | BBG000SR0YS4 | rub | 1 | 5 | +| CCSI | Consensus Cloud Solutions | BBG0105XBRH0 | usd | 1 | 0.01 | +| WKHS | Workhorse Group Inc | BBG000BDPB15 | usd | 1 | 0.01 | +| BAX | Baxter International | BBG000BCVJ77 | usd | 1 | 0.01 | +| ADBE | Adobe | BBG000BB5006 | usd | 1 | 0.01 | +| INSM | Insmed | BBG000BWM5P3 | usd | 1 | 0.01 | +| AEO | American Eagle Outfitters Inc | BBG000BGXZB5 | usd | 1 | 0.01 | +| MCD | McDonald’s | BBG000BNSZP1 | usd | 1 | 0.01 | +| TCSG | TCS Group | BBG00QPYJ5H0 | rub | 1 | 0.5 | +| GNL | Global Net Lease REIT | BBG004HXD0G8 | usd | 1 | 0.01 | +| FULC | Fulcrum Therapeutics | BBG00DDY1RK9 | usd | 1 | 0.01 | +| XYL | Xylem | BBG001D8R5D0 | usd | 1 | 0.01 | +| ICE | Intercontinental Exchange | BBG000C1FB75 | usd | 1 | 0.01 | +| SIE@DE | Siemens AG | BBG000BCCT76 | eur | 1 | 0.01 | +| NEO | NeoGenomics Inc | BBG000BKH263 | usd | 1 | 0.01 | +| VSAT | Viasat | BBG000HHLBF9 | usd | 1 | 0.01 | +| GDRX | GoodRx Holdings Inc | BBG00X0VP8D9 | usd | 1 | 0.01 | +| DNB | Dun & Bradstreet Holdings | BBG00VCZX9Z6 | usd | 1 | 0.01 | +| KO | COCA-COLA | BBG000BMX289 | usd | 1 | 0.01 | +| TTWO | Take-Two Interactive Software | BBG000BS1YV5 | usd | 1 | 0.01 | +| WEC | WEC Energy Group | BBG000BWP7D9 | usd | 1 | 0.01 | +| ANAB | AnaptysBio Inc | BBG0026ZDHR0 | usd | 1 | 0.01 | +| PLTR | Palantir Technologies Inc | BBG000N7QR55 | usd | 1 | 0.01 | +| UNVR | Univar Solutions Inc | BBG000BDHD29 | usd | 1 | 0.01 | +| SCI | Service Corp International/US | BBG000BTHH16 | usd | 1 | 0.01 | +| SBGI | Sinclair Broadcast Group Inc | BBG000F2XXP2 | usd | 1 | 0.01 | +| HLF | Herbalife Nutrition | BBG000MM5VL9 | usd | 1 | 0.01 | +| LFST | LifeStance Health Group | BBG01138DGZ7 | usd | 1 | 0.01 | +| FNF | Fidelity National Financial, Inc. | BBG006N7S6K9 | usd | 1 | 0.01 | +| FIVN | Five9 Inc | BBG001KHJM17 | usd | 1 | 0.01 | +| SNGSP | Сургутнефтегаз - привилегированные акции | BBG004S681M2 | rub | 100 | 0.005 | +| MANT | ManTech International Corp VA | BBG000BGF8B5 | usd | 1 | 0.01 | +| ESE | ESCO Technologies Inc. | BBG000C4S3P3 | usd | 1 | 0.01 | +| GSKY | GreenSky Inc | BBG00KT2SCV8 | usd | 1 | 0.01 | +| BAND | Bandwidth Inc | BBG001K003W2 | usd | 1 | 0.01 | +| TSVT | 2seventy bio | BBG00YV1J622 | usd | 1 | 0.01 | +| NEE | NextEra Energy | BBG000BJSBJ0 | usd | 1 | 0.01 | +| ALGN | Align Technology | BBG000BRNLL2 | usd | 1 | 0.01 | +| 1 | CK Hutchison Holdings | BBG0087DLDQ6 | hkd | 10 | 0.05 | +| ITT | ITT | BBG00CVQZQ96 | usd | 1 | 0.01 | +| INT | World Fuel Services Corporation | BBG000BM3CJ8 | usd | 1 | 0.01 | +| NTCT | NetScout Systems Inc | BBG000C136Z8 | usd | 1 | 0.01 | +| RDFN | Redfin Corp | BBG001Q7HP63 | usd | 1 | 0.01 | +| NVCR | NovoCure Limited | BBG009XW8PY2 | usd | 1 | 0.01 | +| PCTY | Paylocity Holding Corp | BBG006598YS8 | usd | 1 | 0.01 | +| EVR | Evercore | BBG000BP30Y0 | usd | 1 | 0.01 | +| ZIMV | ZimVie | BBG014630587 | usd | 1 | 0.01 | +| MPC | Marathon Petroleum | BBG001DCCGR8 | usd | 1 | 0.01 | +| 1928 | Sands China | BBG000PSNMN1 | hkd | 100 | 0.01 | +| YNDX | Yandex | BBG006L8G4H1 | rub | 1 | 0.2 | +| CL | Colgate-Palmolive | BBG000BFQYY3 | usd | 1 | 0.01 | +| ATKR | Atkore International Group Inc | BBG000QTFDQ4 | usd | 1 | 0.01 | +| XPEL | XPEL | BBG000R5XCX9 | usd | 1 | 0.01 | +| OC | Owens Corning | BBG000M44VW8 | usd | 1 | 0.01 | +| SF | Stifel Financial | BBG000BSS5C0 | usd | 1 | 0.01 | +| WWE | World Wrestling Entertainment | BBG000F5YH15 | usd | 1 | 0.01 | +| SFIN | ЭсЭфАй | BBG003LYCMB1 | rub | 10 | 0.2 | +| MDRX | Allscripts Healthcare Solution | BBG000BLDXH5 | usd | 1 | 0.01 | +| LCID | Lucid Group | BBG00W7F99V5 | usd | 1 | 0.01 | +| FROG | JFrog Ltd. | BBG006PWZX16 | usd | 1 | 0.01 | +| HURN | Huron Consulting Group Inc | BBG000PV2M48 | usd | 1 | 0.01 | +| LEG | Leggett & Platt | BBG000BN53G7 | usd | 1 | 0.01 | +| DTE@DE | Deutsche Telekom AG | BBG000HJTMS9 | eur | 1 | 0.01 | +| LEN | Lennar | BBG000BN5HF7 | usd | 1 | 0.01 | +| MYGN | Myriad Genetics Inc | BBG000D9H9F1 | usd | 1 | 0.01 | +| WBA | Walgreens Boots Alliance | BBG000BWLMJ4 | usd | 1 | 0.01 | +| MFGP | Micro Focus | BBG00HFWVGN0 | usd | 1 | 0.01 | +| TFX | Teleflex Inc | BBG000BV59Y6 | usd | 1 | 0.01 | +| L | Loews | BBG000C45984 | usd | 1 | 0.01 | +| FISV | Fiserv | BBG000BJKPG0 | usd | 1 | 0.01 | +| APO | Apollo Global Management | BBG00ZNLTFK3 | usd | 1 | 0.01 | +| MP | MP Materials | BBG00TJGL0F0 | usd | 1 | 0.01 | +| FESH | ДВМП | BBG000QF1Q17 | rub | 100 | 0.01 | +| ASAN | Asana | BBG00WYHL732 | usd | 1 | 0.01 | +| EXAS | Exact Sciences Corp | BBG000CWL0F5 | usd | 1 | 0.01 | +| JCI | Johnson Controls | BBG000BVWLJ6 | usd | 1 | 0.01 | +| TXG | 10X Genomics Inc | BBG007WX14X0 | usd | 1 | 0.01 | +| REGI | Renewable Energy Group Inc | BBG0016SSV00 | usd | 1 | 0.01 | +| VOYA | Voya Financial | BBG000BCWKD6 | usd | 1 | 0.01 | +| ISRG | Intuitive Surgical | BBG000BJPDZ1 | usd | 1 | 0.01 | +| LI | Li Auto | BBG00W0KZD98 | usd | 1 | 0.01 | +| PHOR@GS | PhosAgro PJSC | BBG001R16GZ5 | usd | 1 | 0.01 | +| AXTA | Axalta Coating Systems | BBG0060CPLJ5 | usd | 1 | 0.01 | +| HOOD | Robinhood Markets, Inc. | BBG008NMBXN8 | usd | 1 | 0.01 | +| TCS | TCS Group (Tinkoff Bank holder) | BBG005DXJS36 | usd | 1 | 0.01 | +| KAP@GS | NAC Kazatomprom JSC | BBG00MJM7K82 | usd | 1 | 0.01 | +| ATR | AptarGroup | BBG000BGX2S0 | usd | 1 | 0.01 | +| GWW | WW Grainger | BBG000BKR1D6 | usd | 1 | 0.01 | +| SUPN | Supernus Pharmaceuticals Inc | BBG000BP0HX7 | usd | 1 | 0.01 | +| ALIT | Alight | BBG00H00J2N1 | usd | 1 | 0.01 | +| LYB | LyondellBasell | BBG000WCFV84 | usd | 1 | 0.01 | +| MDLZ | Mondelez | BBG000D4LWF6 | usd | 1 | 0.01 | +| JEF | Jefferies Financial Group | BBG000BNHSP9 | usd | 1 | 0.01 | +| TDS | Telephone & Data Systems Inc | BBG000BV0VK7 | usd | 1 | 0.01 | +| SHLS | Shoals Technologies Group, Inc. | BBG00YQ82275 | usd | 1 | 0.01 | +| TTM | Tata Motors | BBG000PVGDH9 | usd | 1 | 0.01 | +| DK | Delek US Holdings Inc | BBG00FZYFVC5 | usd | 1 | 0.01 | +| CMG | Chipotle Mexican Grill | BBG000QX74T1 | usd | 1 | 0.01 | +| BX | Blackstone | BBG000BH0106 | usd | 1 | 0.01 | +| NWS | News Corp | BBG0035M2ZB7 | usd | 1 | 0.01 | +| FHI | Federated Hermes | BBG000BP0929 | usd | 1 | 0.01 | +| DRE | Duke Realty REIT | BBG000BHD8S7 | usd | 1 | 0.01 | +| BRO | Brown & Brown | BBG000BWSGF4 | usd | 1 | 0.01 | +| RASP | Распадская | BBG004S68696 | rub | 10 | 0.05 | +| DAVA | Endava АДР | BBG00LBLBBJ7 | usd | 1 | 0.01 | +| PBA | Pembina Pipeline Corporation | BBG001732GF9 | usd | 1 | 0.01 | +| MGM | MGM Resorts International | BBG000C2BXK4 | usd | 1 | 0.01 | +| MPW | Medical Properties REIT | BBG000BGRB25 | usd | 1 | 0.01 | +| RIOT | Riot Blockchain | BBG000BQ4512 | usd | 1 | 0.01 | +| VEEV | Veeva Systems Inc | BBG001CGB489 | usd | 1 | 0.01 | +| NCR | NCR Corp | BBG000BMXK89 | usd | 1 | 0.01 | +| IBKR | Interactive Brokers Group Inc | BBG000LV0836 | usd | 1 | 0.01 | +| CNK | Cinemark Holdings Inc | BBG000QDVR53 | usd | 1 | 0.01 | +| BLUE | Bluebird Bio Inc | BBG000QGWY50 | usd | 1 | 0.01 | +| AFG | American Financial Group | BBG000DPKKK0 | usd | 1 | 0.01 | +| MMM | 3M Company | BBG000BP52R2 | usd | 1 | 0.01 | +| KEP | Korea Electric Power | BBG000BCWG90 | usd | 1 | 0.01 | +| SMTC | Semtech Corp | BBG000DBKR53 | usd | 1 | 0.01 | +| HQY | HealthEquity Inc | BBG000TYXCT9 | usd | 1 | 0.01 | +| BVB@DE | Borussia Dortmund GmbH & Co KG | BBG000D54JC4 | eur | 1 | 0.01 | +| EWBC | East West Ban | BBG000CR20B1 | usd | 1 | 0.01 | +| PUM@DE | PUMA SE | BBG000BLMTR3 | eur | 1 | 0.01 | +| NVTK | НОВАТЭК | BBG00475KKY8 | rub | 1 | 0.2 | +| GATX | GATX Corporation | BBG000BKGXQ4 | usd | 1 | 0.01 | +| EXLS | ExlService Holdings Inc | BBG000NS3P30 | usd | 1 | 0.01 | +| HCC | Warrior Met Coal | BBG00GD1JMV4 | usd | 1 | 0.01 | +| BBIO | Bridgebio Pharma | BBG00P9KDZK6 | usd | 1 | 0.01 | +| BYSI | BeyondSpring | BBG00F9YLST6 | usd | 1 | 0.01 | +| SHAK | Shake Shack Inc | BBG0063GCHH8 | usd | 1 | 0.01 | +| SON | Sonoco Products Co | BBG000D7HF89 | usd | 1 | 0.01 | +| ICPT | Intercept Pharmaceuticals Inc | BBG001J1QN87 | usd | 1 | 0.01 | +| STE | STERIS | BBG00MRHG523 | usd | 1 | 0.01 | +| YELP | Yelp Inc | BBG000Q2HM09 | usd | 1 | 0.01 | +| AMWD | American Woodmark Corp | BBG000BBX657 | usd | 1 | 0.01 | +| EOAN@DE | E.ON SE | BBG000BR7PK2 | eur | 1 | 0.01 | +| ENB | Enbridge | BBG000K5M1S8 | usd | 1 | 0.01 | +| JKHY | Jack Henry & Associates Inc | BBG000BMH2Q7 | usd | 1 | 0.01 | +| UPST | Upstart Holdings | BBG00PKCBY53 | usd | 1 | 0.01 | +| ORCL | Oracle | BBG000BQLTW7 | usd | 1 | 0.01 | +| VZ | Verizon Communications | BBG000HS77T5 | usd | 1 | 0.01 | +| SGEN | Seagen Inc. | BBG000BH0FR6 | usd | 1 | 0.01 | +| MORN | Morningstar | BBG000CGQ4F7 | usd | 1 | 0.01 | +| APPS | Digital Turbine Inc | BBG000HZ3562 | usd | 1 | 0.01 | +| UNKL | ЮУНК | BBG002YFXL29 | rub | 1 | 10 | +| VVV | Valvoline | BBG003DNHV56 | usd | 1 | 0.01 | +| GRUB | АДР Just Eat Takeaway.com N.V. | BBG010R8C3Y4 | usd | 1 | 0.01 | +| ALXO | ALX Oncology Holdings Inc | BBG00VR8SDG8 | usd | 1 | 0.01 | +| KRG | Kite Realty Group REIT | BBG000BC2KW8 | usd | 1 | 0.01 | +| NKNC | Нижнекамскнефтехим | BBG000GQSRR5 | rub | 10 | 0.05 | +| KNSL | Kinsale Capital Group | BBG00D8JD9Z9 | usd | 1 | 0.01 | +| SRPT | Sarepta Therapeutics Inc | BBG000BCJ161 | usd | 1 | 0.01 | +| NTES | NetEase Inc | BBG000BX72V8 | usd | 1 | 0.01 | +| PTON | Peloton Interactive Inc | BBG00JG0FFZ2 | usd | 1 | 0.01 | +| AQUA | Русская аквакультура | BBG000W325F7 | rub | 1 | 0.5 | +| MGPI | MGP Ingredients | BBG000BXK6C5 | usd | 1 | 0.01 | +| BEN | Franklin Resources | BBG000BD0TF8 | usd | 1 | 0.01 | +| FLO | Flowers Foods, Inc. | BBG000BB4D72 | usd | 1 | 0.01 | +| AX | Axos Financial Inc | BBG000QPHD08 | usd | 1 | 0.01 | +| GNTX | Gentex Corporation | BBG000BKJ092 | usd | 1 | 0.01 | +| LVS | Las Vegas Sands Corp | BBG000JWD753 | usd | 1 | 0.01 | +| SHW | Sherwin-Williams | BBG000BSXQV7 | usd | 1 | 0.01 | +| ICUI | ICU Medical Inc | BBG000CQV2N4 | usd | 1 | 0.01 | +| U | Unity Software | BBG0056JW5G6 | usd | 1 | 0.01 | +| VRSB | ТНС энерго Воронеж | BBG000BX7DH0 | rub | 10 | 0.2 | +| FLOW | SPX FLOW Inc | BBG007FL7ZD2 | usd | 1 | 0.01 | +| JACK | Jack in the Box | BBG000GZYVY1 | usd | 1 | 0.01 | +| BIIB | Biogen | BBG000C17X76 | usd | 1 | 0.01 | +| MDU | MDU Resources Group, Inc. | BBG000BNX3R4 | usd | 1 | 0.01 | +| WWW | Wolverine World Wide Inc | BBG000BX2YN2 | usd | 1 | 0.01 | +| CFG | Citizens Financial Group | BBG006Q0HY77 | usd | 1 | 0.01 | +| BYND | Beyond Meat Inc | BBG003CVJP50 | usd | 1 | 0.01 | +| TPTX | Turning Point Therapeutics Inc | BBG00NPL9WH7 | usd | 1 | 0.01 | +| INGR | Ingredion Inc | BBG000BXPZB7 | usd | 1 | 0.01 | +| COO | The Cooper Companies | BBG000BG3445 | usd | 1 | 0.01 | +| FICO | Fair Isaac Corp | BBG000DW76Y6 | usd | 1 | 0.01 | +| LYLT | Loyalty Ventures | BBG012QVD574 | usd | 1 | 0.01 | +| WEX | WEX Inc | BBG000BVZP59 | usd | 1 | 0.01 | +| MSEX | Middlesex Water Company | BBG000BPGQ60 | usd | 1 | 0.01 | +| SGZH | Сегежа | BBG0100R9963 | rub | 100 | 0.001 | +| PUMP | ProPetro Holding Corp | BBG00FYCQ352 | usd | 1 | 0.01 | +| EHTH | eHealth Inc | BBG000P5JQX6 | usd | 1 | 0.01 | +| PM | Philip Morris | BBG000J2XL74 | usd | 1 | 0.01 | +| WAB | Wabtec Corp. | BBG000BDD940 | usd | 1 | 0.01 | +| BKI | Black Knight Inc | BBG00GX77LW3 | usd | 1 | 0.01 | +| TXN | Texas Instruments | BBG000BVV7G1 | usd | 1 | 0.01 | +| ARNA | Arena Pharmaceuticals Inc | BBG000BKXBV7 | usd | 1 | 0.01 | +| CLOV | Clover Health Investments, Corp. | BBG00SHY90J5 | usd | 1 | 0.01 | +| NKLA | Nikola | BBG00L4CWQ45 | usd | 1 | 0.01 | +| MLM | Martin Marietta Materials | BBG000BGYMH7 | usd | 1 | 0.01 | +| GDDY | GoDaddy Inc | BBG006MDLY05 | usd | 1 | 0.01 | +| PRI | Primerica | BBG000T8ZF80 | usd | 1 | 0.01 | +| CHRS | Coherus BioSciences | BBG0063N8V69 | usd | 1 | 0.01 | +| AMN | AMN Healthcare Services Inc | BBG000BCT197 | usd | 1 | 0.01 | +| CRSR | Corsair Gaming Inc | BBG00HMSHL83 | usd | 1 | 0.01 | +| HSIC | Henry Schein | BBG000BNMMJ3 | usd | 1 | 0.01 | +| MANH | Manhattan Associates Inc | BBG000BFV758 | usd | 1 | 0.01 | +| ES | Eversource Energy | BBG000BQ87N0 | usd | 1 | 0.01 | +| PEN | Penumbra Inc | BBG001BP92V1 | usd | 1 | 0.01 | +| RF | Regions Financial | BBG000Q3JN03 | usd | 1 | 0.01 | +| OHI | Omega Healthcare Investors REIT | BBG000BGBTC2 | usd | 1 | 0.01 | +| GBX | Greenbrier Cos Inc | BBG000CF5097 | usd | 1 | 0.01 | +| IFF | International Flavors & Fragrances | BBG000BLSL58 | usd | 1 | 0.01 | +| SAP@DE | SAP SE | BBG000BG7GX2 | eur | 1 | 0.01 | +| SPCE | Virgin Galactic Holdings Inc Class A | BBG00HTN2CQ3 | usd | 1 | 0.01 | +| HCAT | Health Catalyst | BBG00LDPZMS6 | usd | 1 | 0.01 | +| MSA | MSA Safety | BBG000BPDXF8 | usd | 1 | 0.01 | +| CTRA | Coterra Energy | BBG000C3GN47 | usd | 1 | 0.01 | +| CWEN | Clearway Energy | BBG008LJ4TF3 | usd | 1 | 0.01 | +| BPMC | Blueprint Medicines Corp | BBG001MC8YF7 | usd | 1 | 0.01 | +| BLD | TopBuild Corp | BBG0077VS2C0 | usd | 1 | 0.01 | +| PRU | Prudential Financial | BBG000HCJMF9 | usd | 1 | 0.01 | +| HEI | HEICO | BBG000BL16Q7 | usd | 1 | 0.01 | +| LSNGP | Ленэнерго - акции привилегированные | BBG000NLCCM3 | rub | 10 | 0.05 | +| VRTS | Virtus Investment Partners | BBG000DMFQS2 | usd | 1 | 0.01 | +| LITE | Lumentum Holdings Inc | BBG0073F9RT7 | usd | 1 | 0.01 | +| EYE | National Vision Holdings Inc | BBG00HVQF9K2 | usd | 1 | 0.01 | +| NSC | Norfolk Southern | BBG000BQ5DS5 | usd | 1 | 0.01 | +| PSTG | Pure Storage Inc | BBG00212PVZ5 | usd | 1 | 0.01 | +| KR | Kroger | BBG000BMY992 | usd | 1 | 0.01 | +| DOCN | DigitalOcean Holdings | BBG00ZGF6SS3 | usd | 1 | 0.01 | +| URI | United Rentals | BBG000BXMFC3 | usd | 1 | 0.01 | +| EMR | Emerson Electric | BBG000BHX7N2 | usd | 1 | 0.01 | +| KIM | Kimco Realty REIT | BBG000CN3S73 | usd | 1 | 0.01 | +| MNRO | Monro | BBG000C0BZD1 | usd | 1 | 0.01 | +| RIG | Transocean | BBG000BH5LT6 | usd | 1 | 0.01 | +| AMED | Amedisys Inc | BBG000B9ZV28 | usd | 1 | 0.01 | +| IAA | IAA, Inc. | BBG00K7ZQ662 | usd | 1 | 0.01 | +| NKTR | Nektar Therapeutics | BBG000BHCYJ1 | usd | 1 | 0.01 | +| CEG | Constellation Energy | BBG014KFRNP7 | usd | 1 | 0.01 | +| TENB | Tenable Holdings Inc | BBG00LBLCD02 | usd | 1 | 0.01 | +| RGNX | REGENXBIO Inc | BBG007Z9V591 | usd | 1 | 0.01 | +| FITB | Fifth Third Bancorp | BBG000BJL3N0 | usd | 1 | 0.01 | +| LPRO | Open Lending Corp | BBG00VDHLSQ6 | usd | 1 | 0.01 | +| BIDU | Baidu | BBG000QXWHD1 | usd | 1 | 0.01 | +| CLVT | Clarivate | BBG00P1919G5 | usd | 1 | 0.01 | +| EOG | EOG Resources | BBG000BZ9223 | usd | 1 | 0.01 | +| CSX | CSX Corp | BBG000BGJRC8 | usd | 1 | 0.01 | +| CUBE | CubeSmart REIT | BBG000HF28Q9 | usd | 1 | 0.01 | +| SYK | Stryker | BBG000DN7P92 | usd | 1 | 0.01 | +| GPRO | GoPro | BBG001LWHLJ8 | usd | 1 | 0.01 | +| XRX | Xerox | BBG00NNG2ZJ8 | usd | 1 | 0.01 | +| SRI | Stoneridge Inc | BBG000BB9Q78 | usd | 1 | 0.01 | +| GMKN | Норильский никель | BBG004731489 | rub | 1 | 2 | +| LANC | Lancaster Colony | BBG000BN1M88 | usd | 1 | 0.01 | +| RIDE | Lordstown Motors Corp | BBG00N6NL712 | usd | 1 | 0.01 | +| PPC | Pilgrim's Pride Corp | BBG000BFLXV3 | usd | 1 | 0.01 | +| EBAY | eBay | BBG000C43RR5 | usd | 1 | 0.01 | +| DAL | Delta Air Lines | BBG000R7Z112 | usd | 1 | 0.01 | +| AMSF | AMERISAFE, Inc. | BBG000Q0JJQ0 | usd | 1 | 0.01 | +| DUOL | Duolingo | BBG003D4V951 | usd | 1 | 0.01 | +| MU | Micron Technology | BBG000C5Z1S3 | usd | 1 | 0.01 | +| SHEL | Shell АДР | BBG0147BN6G2 | usd | 1 | 0.01 | +| CMP | Compass Minerals International | BBG000C42WS4 | usd | 1 | 0.01 | +| BK | Bank of New York Mellon | BBG000BD8PN9 | usd | 1 | 0.01 | +| PEGA | Pegasystems Inc | BBG000H1RYG7 | usd | 1 | 0.01 | +| BF.B | Brown-Forman | BBG000BD2NY8 | usd | 1 | 0.01 | +| ANET | Arista Networks Inc | BBG000N2HDY5 | usd | 1 | 0.01 | +| LGIH | LGI Homes Inc | BBG0056655S1 | usd | 1 | 0.01 | +| PTCT | PTC Therapeutics | BBG000QT15P7 | usd | 1 | 0.01 | +| BJRI | BJ's Restaurants Inc | BBG000H9LNX1 | usd | 1 | 0.01 | +| PCG | PG&E | BBG000BQWPC5 | usd | 1 | 0.01 | +| MOEX | Московская Биржа | BBG004730JJ5 | rub | 10 | 0.01 | +| AMCR | Amcor | BBG00LNJRQ09 | usd | 1 | 0.01 | +| MTTR | Matterport | BBG00XS0FV56 | usd | 1 | 0.01 | +| KAI | Kadant Inc. | BBG000BKRSZ3 | usd | 1 | 0.01 | +| BE | Bloom Energy | BBG000N7KBZ3 | usd | 1 | 0.01 | +| CNQ | Canadian Natural Resources | BBG000HW5GX3 | usd | 1 | 0.01 | +| TGT | Target | BBG000H8TVT2 | usd | 1 | 0.01 | +| PAAS | Pan American Silver Corp | BBG000C0RGY3 | usd | 1 | 0.01 | +| BAC | Bank of America Corp | BBG000BCTLF6 | usd | 1 | 0.01 | +| AWH | Aspira Womens Health | BBG000BTYP37 | usd | 1 | 0.01 | +| TREE | LendingTree Inc | BBG000TVRB50 | usd | 1 | 0.01 | +| V | Visa | BBG000PSKYX7 | usd | 1 | 0.01 | +| ETR | Entergy Corporation | BBG000C1FQS9 | usd | 1 | 0.01 | +| FDS | FactSet Research Systems Inc | BBG000BDJL83 | usd | 1 | 0.01 | +| NAVI | Navient | BBG004MN1R41 | usd | 1 | 0.01 | +| GBCI | Glacier Ban | BBG000C3KB84 | usd | 1 | 0.01 | +| PBF | PBF Energy Inc | BBG002832GV8 | usd | 1 | 0.01 | +| SNPS | Synopsys | BBG000BSFRF3 | usd | 1 | 0.01 | +| HRMY | Harmony Biosciences Holdings | BBG00WBPG4C2 | usd | 1 | 0.01 | +| COFS | ChoiceOne Financial Services, Inc. | BBG000LLRNX3 | usd | 1 | 0.01 | +| USB | US Bancorp | BBG000FFDM15 | usd | 1 | 0.01 | +| JHG | Janus Henderson Group | BBG00GSNPM07 | usd | 1 | 0.01 | +| MATX | Matson Inc | BBG000BBK401 | usd | 1 | 0.01 | +| GCO | Genesco Inc | BBG000BK5S78 | usd | 1 | 0.01 | +| FORR | Forrester Research Inc | BBG000HGNYG8 | usd | 1 | 0.01 | +| EXPI | eXp World Holdings | BBG001DCTG63 | usd | 1 | 0.01 | +| AXNX | Axonics | BBG0067QVJ50 | usd | 1 | 0.01 | +| EXEL | Exelixis Inc | BBG000BQ4WF8 | usd | 1 | 0.01 | +| LYV | Live Nation Entertainment Inc | BBG000FQ7YR4 | usd | 1 | 0.01 | +| CFR | Cullen/Frost Bankers | BBG000C2PL98 | usd | 1 | 0.01 | +| DCPH | Deciphera Pharmaceuticals Inc | BBG00HMJ9H54 | usd | 1 | 0.01 | +| AWI | Armstrong World Industries Inc | BBG000DW4LB1 | usd | 1 | 0.01 | +| DHR | Danaher | BBG000BH3JF8 | usd | 1 | 0.01 | +| RNR | RenaissanceRe Holdings | BBG000BFVZ83 | usd | 1 | 0.01 | +| SONY | Sony Corp | BBG000BT7ZK6 | usd | 1 | 0.01 | +| EVT@DE | Evotec AG | BBG000C23DD5 | eur | 1 | 0.01 | +| MSCI | MSCI Inc | BBG000RTDY25 | usd | 1 | 0.01 | +| ROG | Rogers Corp | BBG000BS9HN3 | usd | 1 | 0.01 | +| PDCO | Patterson | BBG000BQY289 | usd | 1 | 0.01 | +| BRKR | Bruker Corp | BBG000CL1FG7 | usd | 1 | 0.01 | +| FNV | Franco Nevada Corporation | BBG000RD3CL8 | usd | 1 | 0.01 | +| RGA | Reinsurance Group of America I | BBG000BDLCQ0 | usd | 1 | 0.01 | +| FE | FirstEnergy | BBG000BB6M98 | usd | 1 | 0.01 | +| UPRO | Юнипро | BBG004S686W0 | rub | 1000 | 0.001 | +| WERN | Werner Enterprises Inc | BBG000BWPP85 | usd | 1 | 0.01 | +| LHA@DE | Deutsche Lufthansa AG | BBG000BC6M41 | eur | 1 | 0.01 | +| CM | Canadian Imperial Bank of Commerce | BBG000FKTHQ1 | usd | 1 | 0.01 | +| WTRG | Essential Utilities, Inc. | BBG000BRMJN6 | usd | 1 | 0.01 | +| MRKS | МРСК Сибири | BBG000VJMH65 | rub | 10000 | 0.0005 | +| VNO | Vornado REIT | BBG000BWHD54 | usd | 1 | 0.01 | +| WSM | Williams-Sonoma Inc | BBG000FSMWC3 | usd | 1 | 0.01 | +| MGRC | McGrath RentCorp | BBG000BP02D2 | usd | 1 | 0.01 | +| NOW | ServiceNow Inc | BBG000M1R011 | usd | 1 | 0.01 | +| RKLB | Rocket Lab | BBG00Y61SZL5 | usd | 1 | 0.01 | +| EDIT | Editas Medicine Inc | BBG005MX5GZ2 | usd | 1 | 0.01 | +| REZI | Resideo Technologies Inc | BBG00HY28K89 | usd | 1 | 0.01 | +| LBRDK | Liberty Broadband Corporation | BBG006GNSZW5 | usd | 1 | 0.01 | +| DM | Desktop Metal | BBG00P17H053 | usd | 1 | 0.01 | +| MUSA | Murphy USA Inc | BBG001Z0Q6T5 | usd | 1 | 0.01 | +| K | Kellogg | BBG000BMKDM3 | usd | 1 | 0.01 | +| BBY | Best Buy Co. | BBG000BCWCG1 | usd | 1 | 0.01 | +| MTX | Minerals Technologies Inc. | BBG000BB61F7 | usd | 1 | 0.01 | +| MPWR | Monolithic Power Systems | BBG000C30L48 | usd | 1 | 0.01 | +| CCL | Carnival | BBG000BF6LY3 | usd | 1 | 0.01 | +| SAIL | SailPoint Technologies Holdings | BBG00J0BBZL0 | usd | 1 | 0.01 | +| PBI | Pitney Bowes | BBG000BQTMJ9 | usd | 1 | 0.01 | +| SI | Silvergate Capital Corp. | BBG00MMM95S7 | usd | 1 | 0.01 | +| GPC | Genuine Parts | BBG000BKL348 | usd | 1 | 0.01 | +| ROLO | Русолово | BBG004Z2RGW8 | rub | 100 | 0.005 | +| LSCC | Lattice Semiconductor Corp | BBG000C2D1C1 | usd | 1 | 0.01 | +| PRAX | Praxis Precision Medicines | BBG00W9LF2G5 | usd | 1 | 0.01 | +| TCMD | Tactile Systems Technology Inc | BBG001B12Z39 | usd | 1 | 0.01 | +| EXPE | Expedia | BBG000QY3XZ2 | usd | 1 | 0.01 | +| ABCB | Ameris Bancorp | BBG000CDY3H5 | usd | 1 | 0.01 | +| NOC | Northrop Grumman | BBG000BQ2C28 | usd | 1 | 0.01 | +| FOX | Twenty-First Century Fox | BBG00JHNKJY8 | usd | 1 | 0.01 | +| TNET | TriNet Group Inc | BBG000BR2040 | usd | 1 | 0.01 | +| SCSC | ScanSource Inc | BBG000BHTPZ4 | usd | 1 | 0.01 | +| CMCSA | Comcast | BBG000BFT2L4 | usd | 1 | 0.01 | +| MGNT@GS | Magnit PJSC | BBG000VFBQG4 | usd | 1 | 0.01 | +| MSNG | Мосэнерго | BBG004S687W8 | rub | 1000 | 0.0005 | +| SSTK | Shutterstock Inc | BBG002ZCK2V9 | usd | 1 | 0.01 | +| CRS | Carpenter Technology Corp | BBG000BGCQT9 | usd | 1 | 0.01 | +| AFKS | АФК Система | BBG004S68614 | rub | 100 | 0.001 | +| GOLD | Barrick Gold | BBG000BB07P9 | usd | 1 | 0.01 | +| PGTI | PGT Innovations Inc | BBG000FX3Y66 | usd | 1 | 0.01 | +| LECO | Lincoln Electric Holdings | BBG000BB72K8 | usd | 1 | 0.01 | +| PB | Prosperity Bancshares | BBG000BHY4D9 | usd | 1 | 0.01 | +| ENOV | Enovis | BBG000C5Z443 | usd | 1 | 0.01 | +| LASR | nLight Inc | BBG0020BCPX5 | usd | 1 | 0.01 | +| CCJ | Cameco Corporation | BBG000DSZTN6 | usd | 1 | 0.01 | +| ENR | Energizer Holdings Inc | BBG006FCB019 | usd | 1 | 0.01 | +| SFTL | ГДР Softline | BBG0136BTL03 | rub | 1 | 0.1 | +| BFAM | Bright Horizons Family Solutio | BBG003LFWP05 | usd | 1 | 0.01 | +| TJX | TJX | BBG000BV8DN6 | usd | 1 | 0.01 | +| CLR | Continental Resources Inc | BBG000BHBGN6 | usd | 1 | 0.01 | +| ZY | Zymergen Inc. | BBG0077HPN74 | usd | 1 | 0.01 | +| CARS | Cars.com Inc | BBG000HGTH33 | usd | 1 | 0.01 | +| TYL | Tyler Technologies Inc | BBG000BVWZF9 | usd | 1 | 0.01 | +| TDC | Teradata | BBG000R0L5J4 | usd | 1 | 0.01 | +| FOLD | Amicus Therapeutics | BBG000PLF6N0 | usd | 1 | 0.01 | +| WMS | Advanced Drainage Systems | BBG000G7CDN9 | usd | 1 | 0.01 | +| MRTX | Mirati Therapeutics Inc | BBG004TPGBP5 | usd | 1 | 0.01 | +| DDOG | Datadog Inc | BBG003NJHZT9 | usd | 1 | 0.01 | +| 1177 | Sino Biopharmaceutical | BBG000C6XDL4 | hkd | 100 | 0.01 | +| GLOB | Globant SA | BBG00564Y443 | usd | 1 | 0.01 | +| PLZL | Полюс Золото | BBG000R607Y3 | rub | 1 | 0.5 | +| MAC | Macerich REIT | BBG000BL9C59 | usd | 1 | 0.01 | +| KKR | KKR & Co. Inc. | BBG000BCQ6J8 | usd | 1 | 0.01 | +| KSS | Kohl's Corp | BBG000CS7CT9 | usd | 1 | 0.01 | +| ALC | Alcon | BBG00NPWH832 | usd | 1 | 0.01 | +| SCCO | Southern Copper Corp | BBG000BSHH72 | usd | 1 | 0.01 | +| APEI | American Public Education Inc | BBG000RVD346 | usd | 1 | 0.01 | +| CCOI | Cogent Communications | BBG000D0SMY8 | usd | 1 | 0.01 | +| XNCR | Xencor Inc | BBG0026ZG4W0 | usd | 1 | 0.01 | +| ZS | Zscaler Inc | BBG003338H34 | usd | 1 | 0.01 | +| SSNC | SS&C Technologies Holdings Inc | BBG000RJ2J04 | usd | 1 | 0.01 | +| BMBL | Bumble Inc. | BBG00Z6RF483 | usd | 1 | 0.01 | +| OZON | Ozon Holdings PLC | BBG00Y91R9T3 | rub | 1 | 0.5 | +| BIG | Big Lots Inc | BBG000J0D904 | usd | 1 | 0.01 | +| LKOH | ЛУКОЙЛ | BBG004731032 | rub | 1 | 0.5 | +| BCE | BCE Inc. | BBG000BCXNS3 | usd | 1 | 0.01 | +| CDNS | Cadence Design Systems | BBG000C13CD9 | usd | 1 | 0.01 | +| PVH | PVH | BBG000BRRG02 | usd | 1 | 0.01 | +| ACN | Accenture | BBG000D9D830 | usd | 1 | 0.01 | +| BOKF | BOK Financial | BBG000CFZ003 | usd | 1 | 0.01 | +| SEIC | SEI Investments Company | BBG000BSQLT9 | usd | 1 | 0.01 | +| OKTA | Okta Inc | BBG001YV1SM4 | usd | 1 | 0.01 | +| UBER | Uber | BBG002B04MT8 | usd | 1 | 0.01 | +| CHWY | Chewy Inc | BBG00P19DKZ6 | usd | 1 | 0.01 | +| NTNX | Nutanix Inc | BBG001NDW1Z7 | usd | 1 | 0.01 | +| AA | Alcoa Corporation | BBG00B3T3HD3 | usd | 1 | 0.01 | +| HES | Hess | BBG000BBD070 | usd | 1 | 0.01 | +| NWL | Newell Brands | BBG000BQC9V2 | usd | 1 | 0.01 | +| CVS | CVS Health Corporation | BBG000BGRY34 | usd | 1 | 0.01 | +| THO | Thor Industries Inc | BBG000BV6R84 | usd | 1 | 0.01 | +| ENRU | Энел Россия | BBG000F6YP24 | rub | 1000 | 0.0002 | +| FTV | Fortive | BBG00BLVZ228 | usd | 1 | 0.01 | +| BOOT | Boot Barn Holdings Inc | BBG0077SYZV6 | usd | 1 | 0.01 | +| QNST | QuinStreet Inc | BBG000S9XXB8 | usd | 1 | 0.01 | +| ALSN | Allison Transmission Holdings | BBG001KY3845 | usd | 1 | 0.01 | +| OGKB | Вторая генерирующая компания оптового рынка электроэне... | BBG000RK52V1 | rub | 1000 | 0.0001 | +| IPG | IPG | BBG000C90DH9 | usd | 1 | 0.01 | +| NATI | National Instruments | BBG000DZK6N6 | usd | 1 | 0.01 | +| DDD | 3D Systems Corp | BBG000D42FJ0 | usd | 1 | 0.01 | +| LSPD | Lightspeed Commerce | BBG00PZ78ZM0 | usd | 1 | 0.01 | +| GNRC | Generac Holdings Inc | BBG000PQ4W72 | usd | 1 | 0.01 | +| GMS | GMS Inc | BBG009Q036D0 | usd | 1 | 0.01 | +| NYCB | New York Community Bancorp | BBG000BVXPZ8 | usd | 1 | 0.01 | +| TRNO | Terreno REIT | BBG000PV3J62 | usd | 1 | 0.01 | +| LOPE | Grand Canyon Education Inc | BBG000FV28W9 | usd | 1 | 0.01 | +| WTTR | Select Energy Services Inc | BBG00G4Y2DC1 | usd | 1 | 0.01 | +| MTRN | Materion Corp | BBG000BDTT76 | usd | 1 | 0.01 | +| BBBY | Bed Bath & Beyond | BBG000CSY9H9 | usd | 1 | 0.01 | +| FNKO | Funko Inc | BBG00HXSHDQ9 | usd | 1 | 0.01 | +| IRDM | Iridium Communications Inc | BBG000VC0FC1 | usd | 1 | 0.01 | +| RCUS | Arcus Biosciences | BBG00DQD26W3 | usd | 1 | 0.01 | +| ARE | Alexandria Real Estate Equities REIT | BBG000BC33T9 | usd | 1 | 0.01 | +| LULU | Lululemon Athletica Inc | BBG000R8ZVD1 | usd | 1 | 0.01 | +| OMCL | Omnicell Inc | BBG000BTNGZ4 | usd | 1 | 0.01 | +| COLM | Columbia Sportswear Company | BBG000BKKQ84 | usd | 1 | 0.01 | +| CHX | ChampionX Corporation | BBG00JH9TZ56 | usd | 1 | 0.01 | +| IRGZ | Иркутскэнерго | BBG000NL6ZD9 | rub | 100 | 0.02 | +| MIME | Mimecast Limited | BBG00B6W26V8 | usd | 1 | 0.01 | +| WAL | Western Alliance Bancorp | BBG000Q1KFH4 | usd | 1 | 0.01 | +| ARMK | Aramark | BBG001KY4N87 | usd | 1 | 0.01 | +| FVRR | Fiverr International | BBG002YSC5M7 | usd | 1 | 0.01 | +| LSTR | Landstar System | BBG000BB2KN0 | usd | 1 | 0.01 | +| CLF | Cleveland-Cliffs | BBG000BFRF55 | usd | 1 | 0.01 | +| FTI | TechnipFMC | BBG00DL8NMV2 | usd | 1 | 0.01 | +| SP | SP Plus Corp | BBG000BJ91B1 | usd | 1 | 0.01 | +| LHX | L3Harris Technologies Inc | BBG000BLGFJ9 | usd | 1 | 0.01 | +| NGVT | Ingevity Corp | BBG009LM28K6 | usd | 1 | 0.01 | +| WRBY | Warby Parker | BBG005DWN8K8 | usd | 1 | 0.01 | +| DHER@DE | Delivery Hero SE | BBG00GVXMJ74 | eur | 1 | 0.01 | +| UAL | United Airlines Holdings | BBG000M65M61 | usd | 1 | 0.01 | +| IBTX | Independent Bank Group, Inc. | BBG003981NS4 | usd | 1 | 0.01 | +| SWTX | SpringWorks Therapeutics | BBG00Q011TW9 | usd | 1 | 0.01 | +| USFD | US Foods Holding Corp | BBG00C6H6D40 | usd | 1 | 0.01 | +| AEP | American Electric Power | BBG000BB9KF2 | usd | 1 | 0.01 | +| TPX | Tempur Sealy International Inc | BBG000PXGT62 | usd | 1 | 0.01 | +| PINS | Pinterest Inc | BBG002583CV8 | usd | 1 | 0.01 | +| HUBS | HubSpot Inc | BBG000N7MZ06 | usd | 1 | 0.01 | +| AAN | The Aarons Company | BBG00WCNDCZ6 | usd | 1 | 0.01 | +| DELL | Dell Technologies Inc | BBG00DW3SZS1 | usd | 1 | 0.01 | +| AER | AerCap Holdings | BBG000Q9FZL4 | usd | 1 | 0.01 | +| WRK | WestRock | BBG008NXC572 | usd | 1 | 0.01 | +| UBSI | United Bankshares, Inc. | BBG000BVXC87 | usd | 1 | 0.01 | +| MO | Altria Group | BBG000BP6LJ8 | usd | 1 | 0.01 | +| LGND | Ligand Pharmaceuticals Inc | BBG000BKF014 | usd | 1 | 0.01 | +| DAN | Dana Inc | BBG000TCD088 | usd | 1 | 0.01 | +| GLTR | Globaltrans Investment PLC | BBG000VFX6Y4 | rub | 1 | 0.05 | +| MSM | MSC Industrial Direct Co Inc | BBG000BCLYL9 | usd | 1 | 0.01 | +| JD | JD.com | BBG005YHY0Q7 | usd | 1 | 0.01 | +| CARR | Carrier Global | BBG00RP5HYS8 | usd | 1 | 0.01 | +| CORR | CorEnergy Infrastructure REIT | BBG000CN80Y9 | usd | 1 | 0.01 | +| LAD | LIthia Motors Inc | BBG000K3BC83 | usd | 1 | 0.01 | +| CHEF | Chefs' Warehouse Inc | BBG001MFW6D6 | usd | 1 | 0.01 | +| HAS | Hasbro | BBG000BKVJK4 | usd | 1 | 0.01 | +| BEAM | Beam Therapeutics | BBG00KXC8646 | usd | 1 | 0.01 | +| ESS | Essex Property REIT | BBG000CGJMB9 | usd | 1 | 0.01 | +| DKNG | DraftKings | BBG0134WCM78 | usd | 1 | 0.01 | +| EVRG | Evergy, Inc | BBG00H433CR2 | usd | 1 | 0.01 | +| BCPC | Balchem Corp | BBG000BCY878 | usd | 1 | 0.01 | +| FCN | FTI Consulting Inc | BBG000K88H58 | usd | 1 | 0.01 | +| POR | Portland General Electric | BBG000BCRMW7 | usd | 1 | 0.01 | +| NLSN | Nielsen Holdings plc | BBG0088CYPX8 | usd | 1 | 0.01 | +| EME | EMCOR Group | BBG000BBRPL4 | usd | 1 | 0.01 | +| KLAC | KLA-Tencor | BBG000BMTFR4 | usd | 1 | 0.01 | +| CAR | Avis Budget Group | BBG000FLPRH1 | usd | 1 | 0.01 | +| PINC | Premier Inc | BBG000G7QX50 | usd | 1 | 0.01 | +| HPE | Hewlett Packard Enterprise | BBG0078W3NQ3 | usd | 1 | 0.01 | +| KAZTP | КуйбышевАзот - Акции привилегированные | BBG002B9T6Y1 | rub | 10 | 0.2 | +| AOSL | Alpha and Omega Semiconductor | BBG000QLW222 | usd | 1 | 0.01 | +| CW | Curtiss-Wright | BBG000BGSPS5 | usd | 1 | 0.01 | +| PTC | PTC Inc | BBG000C2VBB0 | usd | 1 | 0.01 | +| HASI | Hannon Armstrong REIT | BBG0044K5DM4 | usd | 1 | 0.01 | +| HTHT | H World Group | BBG000QFPM65 | usd | 1 | 0.01 | +| OFIX | Orthofix Medical Inc | BBG000G1C210 | usd | 1 | 0.01 | +| VNA@DE | Vonovia SE | BBG000BT0ZM1 | eur | 1 | 0.01 | +| TMO | Thermo Fisher Scientific | BBG000BVDLH9 | usd | 1 | 0.01 | +| DXC | DXC Technology | BBG00FN64XT9 | usd | 1 | 0.01 | +| AMZN | Amazon.com | BBG000BVPV84 | usd | 1 | 0.01 | +| PAR | PAR Technology Corporation | BBG000BRP9K8 | usd | 1 | 0.01 | +| CRM | Salesforce | BBG000BN2DC2 | usd | 1 | 0.01 | +| FCX | Freeport-McMoRan | BBG000BJDB15 | usd | 1 | 0.01 | +| CVLT | CommVault Systems Inc | BBG000BG88X9 | usd | 1 | 0.01 | +| AIRC | Apartment Income REIT | BBG00XK3WVD0 | usd | 1 | 0.01 | +| CBSH | Commerce Bancshares | BBG000BF3G77 | usd | 1 | 0.01 | +| ALNY | Alnylam Pharmaceuticals Inc | BBG000BFGNJ5 | usd | 1 | 0.01 | +| ARCC | Ares Capital Corp | BBG000PD6X77 | usd | 1 | 0.01 | +| GH | Guardant Health Inc | BBG006D97VY9 | usd | 1 | 0.01 | +| VNDA | Vanda Pharmaceuticals Inc | BBG000HT5MG6 | usd | 1 | 0.01 | +| CNC | Centene Corporation | BBG000BDXCJ5 | usd | 1 | 0.01 | +| IDA | IDACORP, Inc. | BBG000BLR3Y7 | usd | 1 | 0.01 | +| ALV | Autoliv, Inc. | BBG000BVLRY8 | usd | 1 | 0.01 | +| ARQT | Arcutis Biotherapeutics | BBG00QN8K4M4 | usd | 1 | 0.01 | +| BMRN | BioMarin Pharmaceutical Inc | BBG000CZWZ05 | usd | 1 | 0.01 | +| ALL | The Allstate Corporation | BBG000BVMGF2 | usd | 1 | 0.01 | +| LEVI | Levi Strauss & Co | BBG000BQDF10 | usd | 1 | 0.01 | +| KNX | Knight-Swift Transportation | BBG000BFC848 | usd | 1 | 0.01 | +| ACI | Albertsons Companies | BBG009KG1750 | usd | 1 | 0.01 | +| APLS | Apellis Pharmaceuticals | BBG007KGRPY4 | usd | 1 | 0.01 | +| LKOD@GS | LUKOIL PJSC | BBG000NN8497 | usd | 1 | 0.01 | +| SPT | Sprout Social | BBG001K1CT23 | usd | 1 | 0.01 | +| TDY | Teledyne Technologies Inc | BBG000BMT9T6 | usd | 1 | 0.01 | +| CIEN | Ciena Corp | BBG000BP1152 | usd | 1 | 0.01 | +| TWTR | Twitter | BBG000H6HNW3 | usd | 1 | 0.01 | +| FFIV | F5 | BBG000CXYSZ6 | usd | 1 | 0.01 | +| MTCH | Match Group Inc | BBG00B6WH9G3 | usd | 1 | 0.01 | +| TXRH | Texas Roadhouse Inc | BBG000PSJMV7 | usd | 1 | 0.01 | +| WMB | The Williams Companies | BBG000BWVCP8 | usd | 1 | 0.01 | +| MXL | MaxLinear Inc | BBG000BB6R33 | usd | 1 | 0.01 | +| NSSC | Napco Security Technologies | BBG000BQ6CT5 | usd | 1 | 0.01 | +| VRNT | Verint Systems Inc | BBG000BCBYT2 | usd | 1 | 0.01 | +| MBT | АДР МТС | BBG000CSZKR2 | usd | 1 | 0.01 | +| NMTP | НМТП | BBG004S68BR5 | rub | 100 | 0.005 | +| CRSP | CRISPR Therapeutics AG | BBG00DBBGRX1 | usd | 1 | 0.01 | +| MRC | MRC Global Inc | BBG000BKLTM1 | usd | 1 | 0.01 | +| MMS | MAXIMUS Inc | BBG000BC5WJ4 | usd | 1 | 0.01 | +| CCI | Crown Castle REIT | BBG000FV1Z23 | usd | 1 | 0.01 | +| ADI | Analog Devices | BBG000BB6G37 | usd | 1 | 0.01 | +| VTRS | Viatris Inc | BBG00Y4RQNH4 | usd | 1 | 0.01 | +| IR | Ingersoll-Rand | BBG002R1CW27 | usd | 1 | 0.01 | +| VIR | Vir Biotechnology | BBG00H2QQ8T5 | usd | 1 | 0.01 | +| TGKA | ТГК-1 | BBG000QFH687 | rub | 100000 | 0.000002 | +| CMA | Comerica Incorporated | BBG000C75N77 | usd | 1 | 0.01 | +| FOXF | Fox Factory Holding Corp | BBG004T7VS53 | usd | 1 | 0.01 | +| EXPD | Expeditors | BBG000BJ5GK2 | usd | 1 | 0.01 | +| FRC | First Republic Bank | BBG0019LSQ49 | usd | 1 | 0.01 | +| FRHC | Freedom Holding Corp/NV | BBG000N625H8 | usd | 1 | 0.01 | +| ANGI | Angi Inc | BBG00HVKH3Q0 | usd | 1 | 0.01 | +| H | Hyatt Hotels Corp | BBG000CVRFS4 | usd | 1 | 0.01 | +| IQV | IQVIA Holdings Inc | BBG00333FYS2 | usd | 1 | 0.01 | +| VTR | Ventas REIT | BBG000FRVHB9 | usd | 1 | 0.01 | +| BLNK | Blink Charging Co | BBG000F9XKN7 | usd | 1 | 0.01 | +| BABA | Alibaba | BBG006G2JVL2 | usd | 1 | 0.01 | +| GTLS | Chart Industries Inc | BBG000P1K2X6 | usd | 1 | 0.01 | +| SNGS | Сургутнефтегаз | BBG0047315D0 | rub | 100 | 0.005 | +| CBOM | МКБ | BBG009GSYN76 | rub | 100 | 0.001 | +| PJT | PJT Partners Inc. | BBG0079T1PZ6 | usd | 1 | 0.01 | +| REGN | Regeneron Pharmaceuticals | BBG000C734W3 | usd | 1 | 0.01 | +| BURL | Burlington Stores Inc | BBG004S641N5 | usd | 1 | 0.01 | +| CDLX | Cardlytics Inc | BBG00225ZDD0 | usd | 1 | 0.01 | +| STX | Seagate | BBG0113JGQF0 | usd | 1 | 0.01 | +| KRYS | Krystal Biotech Inc | BBG00HDGRHH7 | usd | 1 | 0.01 | +| JJSF | J&J Snack Foods Corp | BBG000BMGPW0 | usd | 1 | 0.01 | +| TRIP | TripAdvisor | BBG001M8HHB7 | usd | 1 | 0.01 | +| LIN | Linde | BBG00GVR8YQ9 | usd | 1 | 0.01 | +| REX | REX American Resources Corp | BBG000D2ZK61 | usd | 1 | 0.01 | +| CR | Crane Holdings | BBG017BXPZ85 | usd | 1 | 0.01 | +| KRTX | Karuna Therapeutics Inc | BBG00NN875G0 | usd | 1 | 0.01 | +| STLA | Stellantis N.V. | BBG0078ZLDG9 | usd | 1 | 0.01 | +| CP | Canadian Pacific Railway | BBG000BCVMH9 | usd | 1 | 0.01 | +| AMEZ | Ашинский метзавод | BBG000RJWGC4 | rub | 100 | 0.005 | +| VET | Vermilion Energy | BBG000PL3C78 | usd | 1 | 0.01 | +| SFIX | Stitch Fix | BBG0046L1KL9 | usd | 1 | 0.01 | +| FOXA | Twenty-First Century Fox (A) | BBG00JHNJW99 | usd | 1 | 0.01 | +| PRAA | PRA Group Inc | BBG000BNTW77 | usd | 1 | 0.01 | +| COWN | Cowen, Inc. | BBG000ND1SB0 | usd | 1 | 0.01 | +| TGKBP | ТГК-2 - акции привилегированные | BBG000Q7GJ60 | rub | 100000 | 0.00001 | +| TPG | TPG | BBG0145FSNR1 | usd | 1 | 0.01 | +| PTR | PetroChina | BBG000BR85F1 | usd | 1 | 0.01 | +| AZEK | AZEK Company | BBG00RPJPN67 | usd | 1 | 0.01 | +| UNH | UnitedHealth | BBG000CH5208 | usd | 1 | 0.01 | +| TGNA | TEGNA | BBG000BK5DP1 | usd | 1 | 0.01 | +| RVLV | Revolve Group Inc | BBG00M4RHBD0 | usd | 1 | 0.01 | +| WING | Wingstop Inc | BBG008N298Y8 | usd | 1 | 0.01 | +| ABRD | АбрауДюрсо | BBG002W2FT69 | rub | 10 | 0.5 | +| CNTLP | Центральный Телеграф - акции привилегированные | BBG0027F0Y27 | rub | 100 | 0.02 | +| TTE | TotalEnergies SE | BBG000CHZ857 | usd | 1 | 0.01 | +| PWR | Quanta Services | BBG000BBL8V7 | usd | 1 | 0.01 | +| DCI | Donaldson Co | BBG000BGZP70 | usd | 1 | 0.01 | +| SHL@DE | Siemens Healthineers AG | BBG00KY6K4L0 | eur | 1 | 0.01 | +| MCHP | Microchip Technology | BBG000BHCP19 | usd | 1 | 0.01 | +| PIKK | ПИК | BBG004S68BH6 | rub | 1 | 0.1 | +| AZN | AstraZeneca PLC | BBG000BZ0DK8 | usd | 1 | 0.01 | +| KMT | Kennametal Inc | BBG000BMWKC5 | usd | 1 | 0.01 | +| SATS | EchoStar Corporation | BBG000TGLV00 | usd | 1 | 0.01 | +| APLT | Applied Therapeutics | BBG000DD0489 | usd | 1 | 0.01 | +| FWRD | Forward Air Corporation | BBG000BRCHB4 | usd | 1 | 0.01 | +| ADPT | Adaptive Biotechnologies | BBG001J2PFF5 | usd | 1 | 0.01 | +| ONTO | Onto Innovation Inc | BBG000BPRN29 | usd | 1 | 0.01 | +| NUS | Nu Skin Enterprises Inc | BBG000HG21Y3 | usd | 1 | 0.01 | +| HUBG | Hub Group Inc | BBG000G9W6L0 | usd | 1 | 0.01 | +| SEDG | SolarEdge Technologies Inc | BBG0084BBZY6 | usd | 1 | 0.01 | +| DE | Deere & Company | BBG000BH1NH9 | usd | 1 | 0.01 | +| PANW | Palo Alto Networks | BBG0014GJCT9 | usd | 1 | 0.01 | +| DLB | Dolby Laboratories Inc | BBG000DGLTG5 | usd | 1 | 0.01 | +| IT | Gartner | BBG000BB65D0 | usd | 1 | 0.01 | +| SRC | Spirit Realty Capital REIT | BBG0027Z6X10 | usd | 1 | 0.01 | +| ROSN | Роснефть | BBG004731354 | rub | 1 | 0.05 | +| MRO | Marathon Oil | BBG000C8H633 | usd | 1 | 0.01 | +| VRTX | Vertex Pharmaceuticals | BBG000C1S2X2 | usd | 1 | 0.01 | +| CF | CF Industries Holdings | BBG000BWJFZ4 | usd | 1 | 0.01 | +| CYBR | CyberArk Software Ltd | BBG006Q52QV2 | usd | 1 | 0.01 | +| WU | Western Union | BBG000BB5373 | usd | 1 | 0.01 | +| PNW | Pinnacle West Capital | BBG000BRDSX5 | usd | 1 | 0.01 | +| MODV | ModivCare Inc. | BBG000P1B7C8 | usd | 1 | 0.01 | +| CELH | Celsius Holdings | BBG000NY37X4 | usd | 1 | 0.01 | +| OLLI | Ollie's Bargain Outlet Holding | BBG0098VVDT9 | usd | 1 | 0.01 | +| MTLRP | Мечел - Привилегированные акции | BBG004S68FR6 | rub | 10 | 0.05 | +| LPX | Louisiana-Pacific Corporation | BBG000BNF508 | usd | 1 | 0.01 | +| HP | Helmerich & Payne | BBG000BLCPY4 | usd | 1 | 0.01 | +| ATRO | Astronics Corp | BBG000BCLBY5 | usd | 1 | 0.01 | +| LHCG | LHC Group Inc | BBG000G7W420 | usd | 1 | 0.01 | +| TRMK | Трубная Металлургическая Компания | BBG004TC84Z8 | rub | 10 | 0.02 | +| ABT | Abbott | BBG000B9ZXB4 | usd | 1 | 0.01 | +| CACC | Credit Acceptance Corp | BBG000CS0D96 | usd | 1 | 0.01 | +| ZUO | Zuora Inc | BBG000BT3HG5 | usd | 1 | 0.01 | +| ANIP | ANI Pharmaceuticals Inc | BBG000KK1L04 | usd | 1 | 0.01 | +| HR | Healthcare Realty Trust REIT | BBG000PRJCX9 | usd | 1 | 0.01 | +| IFX@DE | Infineon Technologies AG | BBG000C8L273 | eur | 1 | 0.01 | +| SWKS | Skyworks Solutions | BBG000KLB4Q1 | usd | 1 | 0.01 | +| AIN | Albany International Corp. | BBG000BRWWH3 | usd | 1 | 0.01 | +| GD | General Dynamics | BBG000BK67C7 | usd | 1 | 0.01 | +| AME | AMETEK | BBG000B9XG87 | usd | 1 | 0.01 | +| PLAY | Dave & Buster's Entertainment Inc | BBG001WWJTK5 | usd | 1 | 0.01 | +| PSX | Phillips 66 | BBG00286S4N9 | usd | 1 | 0.01 | +| WOR | Worthington Industries Inc | BBG000HL7499 | usd | 1 | 0.01 | +| CHPT | ChargePoint Holdings | BBG00Q741Z16 | usd | 1 | 0.01 | +| LNT | Alliant Energy | BBG000DW4Q75 | usd | 1 | 0.01 | +| WAFD | Washington Federal, Inc. | BBG000BWQTD0 | usd | 1 | 0.01 | +| SBCF | Seacoast Banking Corp of Flori | BBG000KK3464 | usd | 1 | 0.01 | +| VAC | Marriott Vacations Worldwide Corporation | BBG001J2R5H3 | usd | 1 | 0.01 | +| PAGS | Pagseguro Digital Ltd | BBG00JM7QBR6 | usd | 1 | 0.01 | +| MRKU | МРСК Урала | BBG000VKG4R5 | rub | 10000 | 0.0002 | +| LAZR | Luminar Technologies | BBG00MS90LK2 | usd | 1 | 0.01 | +| LOGI | Logitech International SA | BBG000BQNNP6 | usd | 1 | 0.01 | +| CLH | Clean Harbors Inc | BBG000BFRRX8 | usd | 1 | 0.01 | +| UPWK | Upwork Inc | BBG00FBJ6390 | usd | 1 | 0.01 | +| GCP | GCP Applied Technologies Inc | BBG0082W8Q12 | usd | 1 | 0.01 | +| RRGB | Red Robin Gourmet Burgers Inc | BBG000MXH9C1 | usd | 1 | 0.01 | +| HRL | Hormel Foods | BBG000BLF8D2 | usd | 1 | 0.01 | +| ETRN | Equitrans Midstream Corporation | BBG00K53L394 | usd | 1 | 0.01 | +| TSLA | Tesla Motors | BBG000N9MNX3 | usd | 1 | 0.01 | +| FAST | Fastenal Company | BBG000BJ8YN7 | usd | 1 | 0.01 | +| SJM | JM Smucker | BBG000BT1715 | usd | 1 | 0.01 | +| AFX@DE | Carl Zeiss Meditec AG | BBG000C7X325 | eur | 1 | 0.01 | +| X | United States Steel | BBG000BX3TD3 | usd | 1 | 0.01 | +| PEAK | Healthpeak Properties REIT | BBG000BKYDP9 | usd | 1 | 0.01 | +| IRTC | iRhythm Technologies | BBG001J19V24 | usd | 1 | 0.01 | +| SKX | Skechers U.S.A. Inc | BBG000C4HKK2 | usd | 1 | 0.01 | +| MRKY | МРСК Юга | BBG000C7P5M7 | rub | 10000 | 0.00005 | +| NBIX | Neurocrine Biosciences Inc | BBG000GJS7C1 | usd | 1 | 0.01 | +| HCA | HCA Healthcare | BBG000QW7VC1 | usd | 1 | 0.01 | +| RGR | Sturm Ruger & Co Inc | BBG000C4FQG6 | usd | 1 | 0.01 | +| OIS | Oil States International Inc | BBG000BDDN94 | usd | 1 | 0.01 | +| EQT | EQT Corporation | BBG000BHZ5J9 | usd | 1 | 0.01 | +| EGHT | 8x8 Inc | BBG000BCGHH7 | usd | 1 | 0.01 | +| GDOT | Green Dot Corp | BBG000QDJT53 | usd | 1 | 0.01 | +| INSP | Inspire Medical Systems Inc | BBG00209SZJ7 | usd | 1 | 0.01 | +| ETN | Eaton Corporation | BBG000BJ3PD2 | usd | 1 | 0.01 | +| PII | Polaris Industries Inc | BBG000D5S4M0 | usd | 1 | 0.01 | +| NVDA | NVIDIA | BBG000BBJQV0 | usd | 1 | 0.01 | +| EAR | Eargo | BBG009HSTZ10 | usd | 1 | 0.01 | +| MEDP | Medpace Holdings Inc | BBG0065B7K59 | usd | 1 | 0.01 | +| BCC | Boise Cascade | BBG000RQKCR4 | usd | 1 | 0.01 | +| APP | AppLovin Corporation | BBG006HFPX77 | usd | 1 | 0.01 | +| SSB | SouthState Corp | BBG000BNPYN9 | usd | 1 | 0.01 | +| BMW@DE | Bayerische Motoren Werke AG | BBG000BBXB74 | eur | 1 | 0.01 | +| TPIC | TPI Composites Inc | BBG0016MQ7C5 | usd | 1 | 0.01 | +| VUZI | Vuzix Corp | BBG000QKVV49 | usd | 1 | 0.01 | +| WPC | WP Carey REIT | BBG000BCQM58 | usd | 1 | 0.01 | +| NEOG | Neogen Corp | BBG000C1BCK2 | usd | 1 | 0.01 | +| GPN | Global Payments | BBG000CX0P89 | usd | 1 | 0.01 | +| PFE | Pfizer | BBG000BR2B91 | usd | 1 | 0.01 | +| TREX | Trex Co Inc | BBG000BTGKK9 | usd | 1 | 0.01 | +| MTH | Meritage Homes Corp | BBG000F4F1N0 | usd | 1 | 0.01 | +| DORM | Dorman Products Inc | BBG000BM22F5 | usd | 1 | 0.01 | +| CHH | Choice Hotels International In | BBG000BPBTL2 | usd | 1 | 0.01 | +| GRPH | Graphite Bio, Inc. | BBG00XDH4NZ2 | usd | 1 | 0.01 | +| MNST | Monster Beverage | BBG008NVB1C0 | usd | 1 | 0.01 | +| CLX | The Clorox Company | BBG000BFS7D3 | usd | 1 | 0.01 | +| FOE | Ferro Corp | BBG000BJQK11 | usd | 1 | 0.01 | +| BLKB | Blackbaud Inc | BBG000BGGTW5 | usd | 1 | 0.01 | +| KRKNP | Саратовский НПЗ - акции привилегированные | BBG002B2J5X0 | rub | 1 | 20 | +| APTV | Aptiv | BBG001QD41M9 | usd | 1 | 0.01 | +| TNDM | Tandem Diabetes Care Inc | BBG0019V9M65 | usd | 1 | 0.01 | +| ASIX | AdvanSix Inc | BBG00CWTTQ41 | usd | 1 | 0.01 | +| 2007 | Country Garden Holdings | BBG000QQCY41 | hkd | 100 | 0.01 | +| AAON | AAON | BBG000C2LZP3 | usd | 1 | 0.01 | +| CHMF | Северсталь | BBG00475K6C3 | rub | 1 | 0.2 | +| TW | Tradeweb Markets | BBG00NK8H8T2 | usd | 1 | 0.01 | +| FLS | Flowserve | BBG000FFH4P5 | usd | 1 | 0.01 | +| TWLO | Twilio Inc | BBG0029ZX840 | usd | 1 | 0.01 | +| CPS | Cooper-Standard Holdings Inc | BBG000PSXT64 | usd | 1 | 0.01 | +| VZIO | VIZIO Holding Corp. | BBG00ZHDJVK4 | usd | 1 | 0.01 | +| RGEN | Repligen Corporation | BBG000BS48J3 | usd | 1 | 0.01 | +| ISKJ | ИСКЧ | BBG000N16BP3 | rub | 10 | 0.02 | +| CLDT | Chatham Lodging REIT | BBG000PT6BR8 | usd | 1 | 0.01 | +| GOOG | Alphabet Class C | BBG009S3NB30 | usd | 1 | 0.01 | +| LNTH | Lantheus Holdings Inc | BBG006Q52RD0 | usd | 1 | 0.01 | +| HEI@DE | HeidelbergCement AG | BBG000BWRTS3 | eur | 1 | 0.01 | +| PCAR | PACCAR | BBG000BQVTF5 | usd | 1 | 0.01 | +| CYTK | Cytokinetics | BBG000F0R4N9 | usd | 1 | 0.01 | +| VMEO | Vimeo | BBG00ZNSSKP3 | usd | 1 | 0.01 | -## Bonds available. Total: [652] +## Bonds available. Total: [660] -| Ticker | Full name | FIGI | Cur | Lot | Step -|--------------|----------------------------------------------------------------|--------------|-----|--------|--------- -| RU000A1013Y3 | Черкизово выпуск 2 | BBG00R05JT04 | rub | 1 | 0.01 -| RU000A0ZZ1F6 | КарМани БО выпуск 2 | BBG00KHGQP89 | rub | 1 | 0.01 -| RU000A100TD8 | Солид-Лизинг выпуск 5 | BBG00Q9K64Q5 | rub | 1 | 0.01 -| RU000A103QL1 | Росагролизинг выпуск 3 | BBG012NW2KW6 | rub | 1 | 0.01 -| RU000A101S16 | Казахстан выпуск 13 | BBG011MDDX15 | rub | 1 | 0.01 -| RU000A103C53 | РЕСО-Лизинг БО-П выпуск 11 | BBG011PC1CT3 | rub | 1 | 0.01 -| RU000A103VD8 | МСБ-Лизинг 002P выпуск 5 | BBG012YS2TP2 | rub | 1 | 0.01 -| RU000A102LD1 | Черкизово выпуск 4 | TCS00A102LD1 | rub | 1 | 0.01 -| RU000A102JZ8 | Альфа-Банк 002Р выпуск 9 | BBG00YMT3ZH8 | rub | 1 | 0.01 -| RU000A103S30 | ДиректЛизинг выпуск 7 | BBG012R0C9K9 | rub | 1 | 0.01 -| RU000A104BU2 | ГК ЕКС выпуск 1 | BBG0147HX1H8 | rub | 1 | 0.01 -| SU26236RMFS8 | ОФЗ 26236 | BBG00YB8K0V8 | rub | 1 | 0.001 -| RU000A0ZZYL5 | Калужская СК выпуск 1 | BBG00MTS7DY5 | rub | 1 | 0.01 -| RU000A0JXU14 | Russia 2047 | BBG00H0HV5C5 | usd | 1 | 0.01 -| RU000A102CX8 | Ульяновская область выпуск 3 | BBG00Y90V3M0 | rub | 1 | 0.01 -| RU000A101QL5 | ГТЛК выпуск 17 | BBG00V6NXQF4 | rub | 1 | 0.01 -| RU000A0JWDN6 | РУСАЛ Братск выпуск 1 | BBG00CNJBLC4 | rub | 1 | 0.01 -| RU000A102895 | Новосибирская область выпуск 21 | BBG00XX7H140 | rub | 1 | 0.01 -| RU000A101RW0 | Казахстан выпуск 8 | BBG011MDBQV9 | rub | 1 | 0.01 -| RU000A100PE4 | РЕСО-Лизинг БО-П выпуск 6 | BBG00PXMNQ97 | rub | 1 | 0.01 -| RU000A100PQ8 | АльфаБанк 002Р выпуск 5 | BBG00PYR5CH7 | rub | 1 | 0.01 -| RU000A1004K1 | Европлан БО 05 | BBG00NHJGKN2 | rub | 1 | 0.01 -| RU000A100W29 | Роделен выпуск 2 | BBG00QJ5M7P3 | rub | 1 | 0.01 -| XS1752568144 | Phosagro | BBG00JRK86V8 | usd | 1 | 0.0001 -| RU000A102M86 | Всеинструменты.ру выпуск 3 | TCS00A102M86 | rub | 1 | 0.01 -| RU000A101XN7 | АФК Система выпуск 14 | BBG00WCMMJ92 | rub | 1 | 0.01 -| RU000A101TR6 | ЭнергоТехСервис выпуск 2 | BBG00VP0CN81 | rub | 1 | 0.01 -| RU000A102LW1 | Асфальтобетонный завод № 1 выпуск 1 | BBG00YS45GT4 | rub | 1 | 0.01 -| RU000A0JXY44 | ПИК БО-П выпуск 3 | BBG00HBPXX50 | rub | 1 | 0.01 -| RU000A1040V2 | Охта Групп выпуск 2 | TCS00A1040V2 | rub | 1 | 0.01 -| RU000A0ZZVE6 | Russia | BBG00MNX53Q3 | eur | 1 | 0.01 -| RU000A1016F5 | ГК Пионер-001P выпуск 4 | BBG00R4C49T4 | rub | 1 | 0.01 -| XS2124187571 | Gazprom | BBG00RRSRHF6 | usd | 1 | 0.0001 -| RU000A100N12 | АФК Система выпуск 11 | BBG00PVL2PM1 | rub | 1 | 0.01 -| RU000A100UG9 | ХКФ Банк выпуск 6 | BBG00QB5VPL5 | rub | 1 | 0.01 -| RU000A0JQRD9 | РЖД выпуск 23 | BBG0000K94P9 | rub | 1 | 0.01 -| ISBNK0424 | Turkiye Is Bankasi | BBG00GH607J6 | usd | 1 | 0.01 -| RU000A0JVVA7 | Роснано выпуск 6 | BBG00B8SVRD7 | rub | 1 | 0.01 -| RU000A0ZZBV2 | Европлан БО 08 | BBG00L9H7QZ3 | rub | 1 | 0.01 -| RU000A101970 | Всеинструменты.ру выпуск 2 | BBG00R83FV73 | rub | 1 | 0.01 -| OMA0148 | Sultanate of Oman | BBG00JQC5C47 | usd | 1 | 0.01 -| RU000A104AQ2 | ДОМ.РФ Социальные облигации 02 | TCS00A104AQ2 | rub | 1 | 0.01 -| RU000A0ZYWU3 | АФК Система выпуск 8 | BBG00K4MR057 | rub | 1 | 0.01 -| GAZP1124 | Gazprom | BBG00J7PCW56 | eur | 1 | 0.01 -| SU26240RMFS0 | ОФЗ 26240 | BBG011MLGP84 | rub | 1 | 0.001 -| RU000A100CG7 | ОбъединениеАгроЭлита выпуск 3 | BBG00PVT6KR6 | rub | 1 | 0.01 -| RU000A104JQ3 | Самолет БО-П11 | BBG015CD9YL8 | rub | 1 | 0.01 -| RU000A0ZYEQ9 | Сэтл Групп выпуск 1 | BBG00HXHKRV2 | rub | 1 | 0.01 -| SU29006RMFS2 | ОФЗ 29006 | BBG007Z13SN3 | rub | 1 | 0.001 -| RU000A0ZYEM8 | Самолет | BBG00HZZDWP4 | rub | 1 | 0.01 -| RU000A1002C2 | РЖД 001Р выпуск 12 | BBG00N6MD6M2 | rub | 1 | 0.01 -| RU000A102101 | ЭБИС выпуск 3 | BBG00WPJ81Z1 | rub | 1 | 0.01 -| RU000A102HB3 | Роснано БО-002P выпуск 5 | BBG00YJKKTF8 | rub | 1 | 0.01 -| SU26220RMFS2 | ОФЗ 26220 | BBG00FX0RDF5 | rub | 1 | 0.001 -| RU000A0JXPD9 | ТМК выпуск 6 | BBG00GDC1GV2 | rub | 1 | 0.01 -| RU000A1037C8 | Урожай выпуск 2 | BBG011C669D9 | rub | 1 | 0.01 -| XS0864383723 | Novatek | BBG003PNSC99 | usd | 1 | 0.0001 -| RU000A100PB0 | ЖКХ Якутии выпуск 1 | BBGYAKUTV001 | rub | 1 | 0.01 -| RU000A101178 | АПРИ Флай Плэнинг БО-П3 | BBG00QXGQYZ9 | rub | 1 | 0.01 -| RU000A101GZ6 | Уралкалий выпуск 6 | TCS00A101GZ6 | rub | 1 | 0.01 -| RU000A1030Y7 | РН Банк БО-1P выпуск 8 | BBG0107GHR16 | rub | 1 | 0.01 -| RU000A101GW3 | ЛЕГЕНДА выпуск 2 | TCS00A101GW3 | rub | 1 | 0.01 -| XS1634369224 | Belarus | BBG00GXQKMJ9 | usd | 1 | 0.0001 -| RU000A0JW1P8 | ГТЛК выпуск 7 | BBG00BRZQ4Y4 | rub | 1 | 0.01 -| RU000A100782 | Лента БО-001P выпуск 2 | BBG00NNMVRW6 | rub | 1 | 0.01 -| RU000A0JVWJ6 | ГТЛК выпуск 6 | BBG00B8SX525 | rub | 1 | 0.01 -| RU000A1003A4 | ГТЛК выпуск 13 | BBG00N9Q06D4 | rub | 1 | 0.01 -| RU000A101R33 | Лента БО-001P выпуск 4 | BBG00V92S1V0 | rub | 1 | 0.01 -| RU000A101GR3 | Банк Открытие БО-П выпуск 6 | BBG00S6QMBP8 | rub | 1 | 0.01 -| RU000A101YV8 | Позитив Текнолоджиз выпуск 1 | TCS00A101YV8 | rub | 1 | 0.01 -| RU000A1011C3 | Русал Братск БО-001Р выпуск 4 | BBG00QXGPWQ4 | rub | 1 | 0.01 -| RU000A102FS1 | АФК Система выпуск 16 | BBG00YG1RQV4 | rub | 1 | 0.01 -| RU000A0ZYJ91 | ФСК ЕЭС БО-4 | BBG00JDS8JM8 | rub | 1 | 0.01 -| RU000A103G00 | Синара - Транспортные Машины выпуск 2 | BBG011YQCC65 | rub | 1 | 0.01 -| RU000A102CD0 | ХК Финанс выпуск 5 | BBG00Y7KXWY9 | rub | 1 | 0.01 -| RU000A102SK1 | Боржоми выпуск 1 | BBG00ZGVRGJ1 | rub | 1 | 0.01 -| SU26232RMFS7 | ОФЗ 26232 | BBG00R0Z4YW8 | rub | 1 | 0.001 -| ISSUANCEBRUS | Брусника 001P-01 | ISSUANCEBRUS | rub | 1 | -| RU000A0JXPN8 | Ростелеком выпуск 2 | BBG00GH12JY2 | rub | 1 | 0.01 -| RU000A0ZYAQ7 | КарМани БО выпуск 1 | BBG00HS78YK1 | rub | 1 | 0.01 -| RU000A104A39 | ИНК-Капитал выпуск 1 | TCS00A104A39 | rub | 1 | 0.01 -| SU26218RMFS6 | ОФЗ 26218 | BBG00B9PJ7V0 | rub | 1 | 0.001 -| RU000A102CU4 | Сбер Банк 001P-SBER19 | BBG00Y9B45C2 | rub | 1 | 0.01 -| RU000A102RS6 | Сбер Банк 001P-SBER24 | BBG00ZZ927H8 | rub | 1 | 0.01 -| XS2019822357 | BCS Structured Products 27jun2024 | BBG00PKCLPS6 | usd | 1 | 0.01 -| RU000A100HY9 | РЖД 001Р выпуск 16 | BBG00PV1JCS0 | rub | 1 | 0.01 -| RU000A102A07 | Альфа-Банк 002Р выпуск 8 | BBG00Y1BKK93 | rub | 1 | 0.01 -| RU000A101XD8 | МаксимаТелеком выпуск 1 | TCS00A101XD8 | rub | 1 | 0.01 -| RU000A102S80 | Альфа-Банк 002Р выпуск 10 | BBG00ZCTLKQ9 | rub | 1 | 0.01 -| RU000A101PJ1 | Магнит выпуск 5 | BBG00V1K0LJ8 | rub | 1 | 0.01 -| RU000A1030U5 | ЭкономЛизинг выпуск 3 | BBG0109ZMRP0 | rub | 1 | 0.01 -| SU26222RMFS8 | ОФЗ 26222 | BBG00GLT6144 | rub | 1 | 0.001 -| RU000A0ZYKH5 | Оренбургская область выпуск 4 | BBG00JG7XG76 | rub | 1 | 0.01 -| RU000A0JW5E3 | ПКТ выпуск 2 | BBG00C7PQK43 | rub | 1 | 0.01 -| RU000A102JB9 | ДОМ.РФ ИА 09 | TCS00A102JB9 | rub | 1 | 0.01 -| XS0830192711 | Газпром нефть | BBG003CQ4DT8 | usd | 1 | 0.0001 -| RU000A103RJ3 | Первое коллекторское бюро 001Р выпуск 2 | BBG012Q8FLM1 | rub | 1 | 0.01 -| RU000A0JXYS9 | Краснодарский край выпуск 1 | BBG00HDD93V9 | rub | 1 | 0.01 -| SU26224RMFS4 | ОФЗ 26224 | BBG00K53FBX6 | rub | 1 | 0.001 -| RU000A0ZYR91 | ГТЛК выпуск 8 | BBG00JYHMLM8 | rub | 1 | 0.01 -| RU000A102ZH2 | ЯТЭК выпуск 2 | BBG00ZZNPB92 | rub | 1 | 0.01 -| RU000A101DU4 | Вита Лайн выпуск 1 | BBG00RP6D594 | rub | 1 | 0.01 -| RU000A1030S9 | Москва выпуск 72 | BBG010GVNPK9 | rub | 1 | 0.01 -| RU000A0ZZ9W4 | Уралкалий выпуск 4 | BBG00L4CT0Z2 | rub | 1 | 0.01 -| RU000A102200 | Вита Лайн 001Р выпуск 1 | ISSUANCEVITA | rub | 1 | 0.01 -| RU000A102HG2 | Охта Групп выпуск 1 | BBG00YPFNJR8 | rub | 1 | 0.01 -| RU000A101H43 | ГК Самолет выпуск 8 | TCS00A101H43 | rub | 1 | 0.01 -| RU000A101PV6 | ТД РКС-Сочи выпуск 1 | BBG00V316KF8 | rub | 1 | 0.01 -| RU000A1029T9 | СофтЛайн Трейд выпуск 4 | TCS00A1029T9 | rub | 1 | 0.01 -| RU000A1021B4 | Обувь России 001P выпуск 3 | BBG00WS5KGV5 | rub | 1 | 0.01 -| RU000A100QA0 | ГК Самолет выпуск 6 | BBG00Q58ZXF2 | rub | 1 | 0.01 -| SU26207RMFS9 | ОФЗ 26207 | BBG002PD3452 | rub | 1 | 0.001 -| RU000A101228 | МОЭК выпуск 3 | BBG00QXGFHS6 | rub | 1 | 0.01 -| RU000A1032S5 | Литана выпуск 1 | BBG010SC6Q70 | rub | 1 | 0.01 -| RU000A1029P7 | ЭР-Телеком Холдинг выпуск 4 | TCS00A1029P7 | rub | 1 | 0.01 -| SU26229RMFS3 | ОФЗ 26229 | BBG00PBZNT41 | rub | 1 | 0.001 -| RU000A103N43 | ДОМ.РФ ИА БО выпуск 9 | TCS00A103N43 | rub | 1 | 0.01 -| VAKI0324 | Vakifbank | BBG00NPGTY64 | usd | 1 | 0.01 -| RU000A1017H9 | Автодор БО-2 выпуск 5 | BBG00R7TP2Y0 | rub | 1 | 0.01 -| RU000A101HU5 | Брусника выпуск 1 | RU000A101HU5 | rub | 1 | 0.01 -| TRY1028 | Republic of Turkey | BBG00KMWBXK3 | usd | 1 | 0.01 -| RU000A103KG4 | Сбербанк выпуск SbD1R | BBG0131NQLG8 | rub | 1 | 0.01 -| RU000A1028C7 | Киви выпуск 1 | TCS00A1028C7 | rub | 1 | 0.01 -| XS1946763361 | BCS Structured Products 27jun2024 выпуск 2 | BBG00NR70S66 | usd | 1 | 0.0001 -| RU000A102TL7 | МФК Займер выпуск 1 | BBG00ZJX2024 | rub | 1 | 0.01 -| RU000A1006S9 | Russia | BBG00NPGNWZ2 | usd | 1 | 0.01 -| RU000A1034P7 | ВТБ СУБ выпуск 5 | BBG01172JM41 | rub | 1 | 0.01 -| XS2010044621 | Sibur | BBG00Q994JS7 | usd | 1 | 0.0001 -| RU000A0ZYCR1 | ТрансКомплектХолдинг выпуск 1 | BBG00HZ0R8T5 | rub | 1 | 0.01 -| RU000A102S23 | Агрофирма-племзавод Победа выпуск 1 | BBG00ZCTRLC6 | rub | 1 | 0.01 -| RU000A100A66 | МТС выпуск 9 | BBG00NZHT902 | rub | 1 | 0.01 -| SU26212RMFS9 | ОФЗ 26212 | BBG00425VG07 | rub | 1 | 0.001 -| SU26219RMFS4 | ОФЗ 26219 | BBG00D6Q7LY6 | rub | 1 | 0.001 -| RU000A100303 | Нафтатранс Плюс выпуск 1 | BBG00N8SH448 | rub | 1 | 0.01 -| RU000A1034K8 | Russia | BBG0113G7SP1 | eur | 1 | 0.01 -| RU000A1023L9 | Калита выпуск 2 | BBG00X6ZL3Z5 | rub | 1 | 0.01 -| RU000A1018X4 | Магнит 003Р выпуск 5 | BBG00R7TPVR4 | rub | 1 | 0.01 -| RU000A101D13 | Сегежа выпуск 1 | BBG00RMFTSM5 | rub | 1 | 0.01 -| RU000A103WD6 | ПИМ выпуск 1 | BBG0135CF8W1 | rub | 1 | 0.01 -| RU000A0JXPG2 | ГТЛК выпуск 4 | BBG00GGS6C84 | rub | 1 | 0.01 -| RU000A0ZYCM2 | Красноярский край выпуск 13 | BBG00HVY2MS2 | rub | 1 | 0.01 -| RU000A0JT965 | Роснефть выпуск 5 | BBG003LQ7J76 | rub | 1 | 0.01 -| ISSUANCESAMO | Самолет БО-П08 | ISSUANCESAMO | rub | 1 | -| RU000A0ZYNY4 | ГТЛК выпуск 7 | BBG00JRTXBC1 | rub | 1 | 0.01 -| RU000A103M85 | Элит Строй выпуск 1 | TCS00A103M85 | rub | 1 | 0.01 -| XS0921331509 | MTS International Funding | BBG004M1PTN8 | usd | 1 | 0.0001 -| SU26227RMFS7 | ОФЗ 26227 | BBG00NQBGZX5 | rub | 1 | 0.001 -| RU000A102TA0 | Росагролизинг выпуск 2 | BBG00ZHZ4Q86 | rub | 1 | 0.01 -| XS1964558339 | Credit Bank of Moscow | BBG00NN90XV7 | usd | 1 | 0.0001 -| SU26234RMFS3 | ОФЗ 26234 | BBG00VCY76T1 | rub | 1 | 0.001 -| RU000A100YG1 | ГК Самолет выпуск 7 | BBG00QPG1GD8 | rub | 1 | 0.01 -| RU000A0ZZGT5 | РЖД 001Р выпуск 8 | BBG00LPNW7Y7 | rub | 1 | 0.01 -| RU000A101Q26 | АФК Система выпуск 13 | BBG00V3L30M3 | rub | 1 | 0.01 -| RU000A102LB5 | ПРОМОМЕД ДМ выпуск 1 | BBG00YRF7834 | rub | 1 | 0.01 -| RU000A101Z66 | Балтийский лизинг БО-П03 | BBG00WFBVRN9 | rub | 1 | 0.01 -| RU000A101MC3 | Магнит 002Р выпуск 2 | BBG00TJW91Z5 | rub | 1 | 0.01 -| RU000A101ST4 | РЕСО-Лизинг БО-П выпуск 3 | BBG00VFJK5W4 | rub | 1 | 0.01 -| RU000A102US0 | Талан-Финанс выпуск 2 | BBG00ZNL19P2 | rub | 1 | 0.01 -| RU000A100KL0 | Русал Братск БО-001Р выпуск 2 | BBG00PSQX526 | rub | 1 | 0.01 -| RU000A102V51 | Нафтатранс Плюс выпуск 3 | BBG00ZQYML62 | rub | 1 | 0.01 -| RU000A100RS0 | ТЕХНО Лизинг выпуск 2 | BBG00Q41F4Y3 | rub | 1 | 0.01 -| RU000A1028H6 | Сибнефтехимтрейд выпуск 1 | TCS00A1028H6 | rub | 1 | 0.01 -| RU000A101WH1 | Гидромашсервис БО выпуск 2 | TCS00A101WH1 | rub | 1 | 0.01 -| RU000A100TF3 | Русал Братск БО-001Р выпуск 3 | BBG00Q9BCQ70 | rub | 1 | 0.01 -| RU000A0JXQ28 | ФПК выпуск 1 | BBG00GH62KJ5 | rub | 1 | 0.01 -| RU000A100YU2 | Акрон выпуск 3 | BBG00QPS5TX8 | rub | 1 | 0.01 -| RU000A101FC7 | Ростелеком 002P выпуск 3 | BBG00RRT2HP0 | rub | 1 | 0.01 -| RU000A0ZYA66 | Эталон выпуск 2 | BBG00HNGJ8K1 | rub | 1 | 0.01 -| RU000A103TS0 | ТЕХНО Лизинг выпуск 5 | BBG012STNNH6 | rub | 1 | 0.01 -| RU000A103KA7 | Мираторг выпуск 1 | TCS00A103KA7 | rub | 1 | 0.01 -| RU000A0ZYDS7 | Газпром нефть ПАО 001P-03R | BBG00J1Z0ZM7 | rub | 1 | 0.01 -| RU000A100D30 | Республика Беларусь выпуск 3 | BBG00PYL4HQ0 | rub | 1 | 0.01 -| RU000A100BB0 | Русал Братск БО-001P выпуск 1 | BBG00P33Q8B6 | rub | 1 | 0.01 -| RU000A0ZYM21 | Домодедово выпуск 1 | BBG00JGF4LC3 | rub | 1 | 0.01 -| RU000A102GY7 | Хэдхантер выпуск 1 | TCS00A102GY7 | rub | 1 | 0.01 -| RU000A103GL2 | МФК ЦФП выпуск 2 | BBG0120X4T49 | rub | 1 | 0.01 -| RU000A101SM9 | Камаз | BBG00VDF8F10 | rub | 1 | 0.01 -| RU000A102952 | ВИС Финанс выпуск 1 | BBG00XYH8FH2 | rub | 1 | 0.01 -| RU000A103XP8 | Ferroni выпуск 1 | BBG01391D0C2 | rub | 1 | 0.01 -| RU000A102Y66 | Легенда выпуск 4 | TCS00A102Y66 | rub | 1 | 0.01 -| RU000A102GU5 | Белуга БО-П04 | TCS00A102GU5 | rub | 1 | 0.01 -| RU000A1015E0 | Белуга Групп БО-П03 | BBG00R2FH979 | rub | 1 | 0.01 -| RU000A101KK0 | Роснано БО-002P выпуск 4 | BBG00SXFWRX7 | rub | 1 | 0.01 -| RU000A1034X1 | Лизинг трейд выпуск 3 | BBG00A1034X1 | rub | 1 | 0.01 -| RU000A101L96 | ЕвроХим выпуск 7 | BBG00T7HZJG4 | rub | 1 | 0.01 -| RU000A101CQ4 | СУЭК-Финанс выпуск 5 | BBG00RLS6TT4 | rub | 1 | 0.01 -| RU000A0ZZ1H2 | ОГК-2 выпуск 3 | BBG00KHD7983 | rub | 1 | 0.01 -| RU000A1034T9 | МТС Банк выпуск 1 | BBG00A1034T9 | rub | 1 | 0.01 -| RU000A101RV2 | Казахстан выпуск 7 | BBG00XH4RHP6 | rub | 1 | 0.01 -| RU000A0JVA10 | ГТЛК БО-04 | BBG0089PCRC1 | rub | 1 | 0.01 -| RU000A0JXU48 | ВЭБ.РФ ПБО-001P-08 | BBG00H14B6Z8 | usd | 1 | 0.0001 -| RU000A101UQ6 | ИКС 5 Финанс выпуск 12 | BBG00VWZ2229 | rub | 1 | 0.01 -| RU000A102SX4 | АФК Система выпуск 19 | BBG00ZHPT667 | rub | 1 | 0.01 -| RU000A102CL3 | Russia | BBG00Y5TQNQ9 | eur | 1 | 0.01 -| XS0316524130 | Gazprom | BBG0000JWX54 | usd | 1 | 0.0001 -| RU000A100XU4 | РЕСО-Лизинг БО-П выпуск 7 | BBG00QN37PX1 | rub | 1 | 0.01 -| RU000A0JWVL2 | Европлан БО 07 | BBG00DY7RMW5 | rub | 1 | 0.01 -| RU000A103KJ8 | Европлан 001Р-03 | TCS00A103KJ8 | rub | 1 | 0.01 -| RU000A0ZYU05 | РЖД 001Р выпуск 5 | BBG00K2B2M16 | rub | 1 | 0.01 -| RU000A101UR4 | Башкирская содовая компания выпуск 2 | BBG00VWZ21H5 | rub | 1 | 0.01 -| RU000A101QA8 | ИКС 5 Финанс выпуск 11 | BBG00V4SVMN7 | rub | 1 | 0.01 -| RU000A101FH6 | МТС выпуск 14 | BBG00RTTRKD7 | rub | 1 | 0.01 -| SU26228RMFS5 | ОФЗ 26228 | BBG00NZHWSQ8 | rub | 1 | 0.001 -| RU000A102QX8 | Лайфстрим выпуск 1 | BBG00Z95Q9G6 | rub | 1 | 0.01 -| RU000A103UY6 | Калита выпуск 3 | BBG012XXXX33 | rub | 1 | 0.01 -| RU000A101Z74 | Газпромбанк выпуск 16 | BBG00WFB0B30 | rub | 1 | 0.01 -| RU000A0ZYT40 | ПАО НК Роснефть 002P-04 | BBG00K2JQWT1 | rub | 1 | 0.01 -| SU26230RMFS1 | ОФЗ 26230 | BBG00PBZNWM4 | rub | 1 | 0.001 -| RU000A1020S0 | Первое коллекторское бюро выпуск 2 | BBG00WMMJMN2 | rub | 1 | 0.01 -| RU000A1023K1 | АФК Система выпуск 15 | BBG00X5FK880 | rub | 1 | 0.01 -| SU29010RMFS4 | ОФЗ 29010 | BBG007Z5FFL1 | rub | 1 | 0.001 -| RU000A0JTM28 | Башнефть выпуск 6 | BBG0043FH1D9 | rub | 1 | 0.01 -| RU000A102SC8 | ТМК 001Р выпуск 2 | BBG00ZDZD5C1 | rub | 1 | 0.01 -| RU000A0JXME4 | ЧТПЗ выпуск 3 | BBG00GB81W02 | rub | 1 | 0.01 -| RU000A100YW8 | Тойота Банк выпуск 3 | BBG00QPHPRQ2 | rub | 1 | 0.01 -| RU000A102FT9 | АФК Система выпуск 17 | TCS00A102FT9 | rub | 1 | 0.01 -| RU000A100X77 | Кредит Европа Банк выпуск 3 | BBG00QKHL1Q8 | rub | 1 | 0.01 -| RU000A0JWV63 | Россельхозбанк 08Т1 | BBG00DYFTK31 | rub | 1 | 0.01 -| RU000A103943 | Аэрофлот выпуск 1 | TCS00A103943 | rub | 1 | 0.01 -| RU000A103935 | re:Store выпуск 1 | TCS00A103935 | rub | 1 | 0.01 -| XS2069992258 | GMK NorNickel | BBG00QN36P08 | usd | 1 | 0.0001 -| RU000A100YD8 | Нафтатранс Плюс выпуск 2 | BBG00QPGLLB7 | rub | 1 | 0.01 -| XS2384475930 | Credit Bank of Moscow | BBG012G07QT0 | usd | 1 | 0.0001 -| RU000A1049P5 | Главторг выпуск 1 | BBG01475RD30 | rub | 1 | 0.01 -| RU000A100D63 | Республика Беларусь выпуск 4 | BBG00PYL4HX2 | rub | 1 | 0.01 -| RU000A100UU0 | РН Банк БО-1P выпуск 6 | BBG00QDF85H6 | rub | 1 | 0.01 -| XS0191754729 | Gazprom | BBG00008WPG3 | usd | 1 | 0.0001 -| RU000A1010M4 | РЖД ОАО БО 001Р-17R | BBG00QTH5DF3 | rub | 1 | 0.01 -| XS0088543193 | Russia 2028 | BBG0000644P5 | usd | 1 | 0.01 -| XS1589324075 | GMK NorNickel | BBG00GCZK5M5 | usd | 1 | 0.0001 -| RU000A102Y58 | Брусника выпуск 2 | BBG00ZX8S6G7 | rub | 1 | 0.01 -| RU000A101QF7 | Ритейл Бел Финанс 001P-01 | BBG00V92X4F6 | rub | 1 | 0.01 -| RU000A0ZYQY7 | АФК Система выпуск 7 | BBG00JX82779 | rub | 1 | 0.01 -| RU000A101RJ7 | МБЭС выпуск 2 | BBG00VHHC305 | rub | 1 | 0.01 -| RU000A1020K7 | ПЮДМ БО-П2 | BBG00X0SRV34 | rub | 1 | 0.01 -| RU000A102GD1 | ДОМ.РФ ИА 08 | TCS00A102GD1 | rub | 1 | 0.01 -| RU000A100NS9 | РЕСО-Лизинг БО-П выпуск 5 | BBG012CQ0V68 | rub | 1 | 0.01 -| RU000A1026C1 | ПИК-Корпорация выпуск 3 | TCS00A1026C1 | rub | 1 | 0.01 -| RU000A102F85 | ЧТПЗ выпуск 6 | BBG00YCZ0M41 | rub | 1 | 0.01 -| RU000A102VY6 | Атомстройкомплекс БО-П01 | TCS00A102VY6 | rub | 1 | 0.01 -| SU29009RMFS6 | ОФЗ 29009 | BBG007Z5F748 | rub | 1 | 0.001 -| RU000A102VW0 | Элемент Лизинг 001P выпуск 3 | TCS00A102VW0 | rub | 1 | 0.01 -| RU000A100WA8 | ЛСР выпуск 4 | BBG00QJ5KYT2 | rub | 1 | 0.01 -| RU000A0JXS59 | Почта России выпуск 3 | BBG00GTQYBZ5 | rub | 1 | 0.01 -| RU000A0JY023 | GTLK | BBG00HKB9M89 | usd | 1 | 0.0001 -| RU000A103828 | ЭнергоТехСервис выпуск 4 | TCS00A103828 | rub | 1 | 0.01 -| USG76237AC37 | Rolls-Royce PLC | BBG00XV1FN94 | usd | 1 | 0.0001 -| RU000A0JWST1 | ГТЛК выпуск 8 | BBG00DQFVRK3 | rub | 1 | 0.01 -| RU000A102X18 | Гарант-Инвест БО 002P-3 | TCS00A102X18 | rub | 1 | 0.01 -| RU000A0JWM56 | Самарская область выпуск 12 | BBG00D5L3Q99 | rub | 1 | 0.01 -| RU000A102WL1 | Экспобанк БО выпуск 3 | TCS00A102WL1 | rub | 1 | 0.01 -| RU000A103M10 | Балтийский лизинг БО-П04 | BBG012BTL6Y4 | rub | 1 | 0.01 -| RU000A100Y50 | СУЭК-Финанс выпуск 4 | BBG00QNGNMR8 | rub | 1 | 0.01 -| XS1577961516 | GTLK | BBG00GQJ3PG8 | usd | 1 | 0.0001 -| RU000A101SD8 | ГТЛК выпуск 19 | BBG00VDF2563 | rub | 1 | 0.01 -| RU000A103RY2 | Интерлизинг выпуск 2 | BBG012QRRBN7 | rub | 1 | 0.01 -| SU26225RMFS1 | ОФЗ 26225 | BBG00K53FX22 | rub | 1 | 0.001 -| RU000A1015A8 | Детский мир выпуск 5 | BBG00R2FKDT2 | rub | 1 | 0.01 -| RU000A100JH0 | Ритейл Бел Финанс выпуск 1 | BBG00PNW0B21 | rub | 1 | 0.01 -| RU000A101CB6 | Лизинг-Трейд выпуск 1 | BBG00RJSK9S6 | rub | 1 | 0.01 -| RU000A101TA2 | Урожай выпуск 1 | BBG00VL9P3K2 | rub | 1 | 0.01 -| RU000A102556 | СЭЗ им. Серго Орджоникидзе выпуск 2 | BBG00XJF7FL9 | rub | 1 | 0.01 -| RU000A0JVUK8 | АФК Система выпуск 1 | BBG00B4MWD80 | rub | 1 | 0.01 -| RU000A1038D4 | Трансмашхолдинг ПБО-06 | TCS00A1038D4 | rub | 1 | 0.01 -| RU000A103YP6 | СГ-транс выпуск 1 | BBG013BSN994 | rub | 1 | 0.01 -| RU000A1013C9 | ИС петролеум выпуск 1 | BBG00QZ0M1V2 | rub | 1 | 0.01 -| RU000A0ZYCD1 | Курская область выпуск 1 | BBG00HT45YG5 | rub | 1 | 0.01 -| RZD0527 | Russian Railways | BBG00P5B0SC9 | eur | 1 | 0.01 -| RU000A101S81 | Русал Братск БО-002Р выпуск 1 | TCS00A101S81 | rub | 1 | 0.01 -| SU26226RMFS9 | ОФЗ 26226 | BBG00N8J90K7 | rub | 1 | 0.001 -| RU000A1029F8 | Лизинг-Трейд выпуск 2 | BBG00XZ93N78 | rub | 1 | 0.01 -| RU000A1014S3 | Новотранс выпуск 1 | BBG00R2HQKS7 | rub | 1 | 0.01 -| RU000A1036X6 | Вита Лайн 001Р выпуск 3 | TCS00A1036X6 | rub | 1 | 0.01 -| RU000A100VQ6 | Норильский Никель БО-001Р выпуск 1 | BBG00QG1PSL0 | rub | 1 | 0.01 -| RU000A0ZYJT2 | ДОМ.РФ ИА 002P | BBG00JGG2N11 | rub | 1 | 0.01 -| SU52001RMFS3 | ОФЗ 52001 | BBG009J6Q4B7 | rub | 1 | 0.001 -| RU000A102TT0 | Русская Аквакультура выпуск 1 | BBG00ZLFQKZ4 | rub | 1 | 0.01 -| RU000A100HE1 | Азбука Вкуса выпуск 1 | BBG00PM8S500 | rub | 1 | 0.01 -| XS0971721450 | Russia | BBG00580HCP7 | usd | 1 | 0.01 -| RU000A104JV3 | Айди Коллект выпуск 2 | TCS00A104JV3 | rub | 1 | 0.01 -| XS2131995958 | GTLK | BBG00S4VCXS9 | usd | 1 | 0.0001 -| XS0971721963 | Russia | BBG00580HD20 | usd | 1 | 0.01 -| RU000A1016Z3 | ПИК-Корпорация выпуск 2 | BBG00R4C0L75 | rub | 1 | 0.01 -| RU000A1022G1 | Бизнес-Недвижимость выпуск 1 | BBG00X0V9H83 | rub | 1 | 0.01 -| RU000A1033Z8 | Москва выпуск 74 | BBG011616RM7 | rub | 1 | 0.01 -| RU000A100YK3 | Камаз БО-П05 | BBG00QPVPLY5 | rub | 1 | 0.01 -| RU000A104L36 | Тойота Банк выпуск 5 | TCS00A104L36 | rub | 1 | 0.01 -| RU000A1008V9 | Роснано выпуск 8 | BBG00NTXZ6S3 | rub | 1 | 0.01 -| RU000A102VK5 | ВИС Финанс выпуск 2 | TCS00A102VK5 | rub | 1 | 0.01 -| RU000A102GJ8 | Газпромбанк выпуск 18 | BBG00YHX6J06 | rub | 1 | 0.01 -| RU000A0JXN21 | АФК Система выпуск 6 | BBG00GF6BJZ2 | rub | 1 | 0.01 -| RU000A103WR6 | ЭР-Телеком Холдинг БО-02 выпуск 1 | BBG0135CF469 | rub | 1 | 0.01 -| RU000A102VL3 | МТС выпуск 18 | TCS00A102VL3 | rub | 1 | 0.01 -| OMA0128 | Sultanate of Oman | BBG00JQC34S1 | usd | 1 | 0.01 -| RU000A0ZZYP6 | ОбъединениеАгроЭлита выпуск 2 | TCS00A0ZZYP6 | rub | 1 | 0.01 -| RU000A102H83 | Ренессанс Кредит выпуск 4 | BBG00YJKHN65 | rub | 1 | 0.01 -| RU000A1030D1 | Альфа-Банк 002Р выпуск 11 | BBG0105J8GV3 | rub | 1 | 0.01 -| RU000A102CZ3 | Онлайн Микрофинанс выпуск 2 | BBG00Y8XPNY9 | rub | 1 | 0.01 -| RU000A0ZYDH0 | ФСК ЕЭС БО-3 | BBG00HY74TD7 | rub | 1 | 0.01 -| SU26237RMFS6 | ОФЗ 26237 | BBG011FJ6573 | rub | 1 | 0.001 -| RU000A0ZYEB1 | ТрансФин-М 001Р выпуск 4 | BBG00HYXLFQ7 | rub | 1 | 0.01 -| RU000A1032X5 | ТЕХНО Лизинг выпуск 4 | BBG0110WZC19 | rub | 1 | 0.01 -| RU000A1049K6 | Альфа-Банк 002Р выпуск 16 | BBG014578XG1 | rub | 1 | 0.01 -| RU000A1017J5 | Газпром нефть ПАО 003P-02R | BBG00R4XLRN5 | rub | 1 | 0.01 -| RU000A100HH4 | Газпромбанк 001P выпуск 11 | BBG00PMK99X0 | rub | 1 | 0.01 -| RU000A102M45 | ДиректЛизинг выпуск 6 | BBG00YRFB429 | rub | 1 | 0.01 -| TTEL0225 | Turk Telekomunikasyon A.S. | BBG00NBJSLV4 | usd | 1 | 0.01 -| RU000A1012K4 | СЭЗ им. Серго Орджоникидзе выпуск 1 | BBG00QYKX940 | rub | 1 | 0.01 -| RU000A103JR3 | Джи-групп выпуск 2 | BBG0124VD0W1 | rub | 1 | 0.01 -| RU000A0JW1K9 | Томская область выпуск 55 | BBG00BQZW6R1 | rub | 1 | 0.01 -| XS1433454243 | Sovcomflot | BBG00D2QX2B8 | usd | 1 | 0.0001 -| RU000A0JXQ44 | РЖД 001Р выпуск 2 | BBG00GK3W839 | rub | 1 | 0.01 -| RU000A100A58 | МТС выпуск 8 | BBG00NZHSKP1 | rub | 1 | 0.01 -| RU000A100DC4 | МСБ-Лизинг 002P выпуск 2 | BBG00PNLY692 | rub | 1 | 0.01 -| RU000A0ZYR18 | Башкирская содовая компания выпуск 1 | BBG00JYHHXN7 | rub | 1 | 0.01 -| RU000A103N84 | Россельхозбанк выпуск 4 | BBG012G45RC0 | rub | 1 | 0.01 -| RU000A0ZZEM5 | Ярославская область выпуск 16 | BBG00LLCGZL5 | rub | 1 | 0.01 -| RU000A103G91 | ПРОМОМЕД ДМ выпуск 2 | TCS00A103G91 | rub | 1 | 0.01 -| RU000A0ZZ4T1 | РСХБ выпуск T1 | BBG00KSL6M30 | rub | 1 | 0.01 -| RU000A0JQ7Z2 | РЖД выпуск 19 | BBG00005V2L5 | rub | 1 | 0.01 -| RU000A102D46 | ДОМ.РФ ИА 018P | TCS00A102D46 | rub | 1 | 0.01 -| RU000A100VG7 | СУЭК-Финанс выпуск 3 | BBG00QFLCT66 | rub | 1 | 0.01 -| RU000A1009B9 | Детский мир выпуск 7 | BBG00NWBZTW2 | rub | 1 | 0.01 -| RU000A103PC2 | Автобан-Финанс выпуск 3 | BBG012JC0J32 | rub | 1 | 0.01 -| RU000A102KQ5 | ТД РКС-Сочи 002Р-1 | BBG00YQ0FTY9 | rub | 1 | 0.01 -| SU26211RMFS1 | ОФЗ 26211 | BBG003TTSBB1 | rub | 1 | 0.001 -| CBOM0224EU | Credit Bank of Moscow | BBG00N8HZBK8 | eur | 1 | 0.01 -| RU000A102TR4 | Ритейл Бел Финанс 001P-02 | TCS00A102TR4 | rub | 1 | 0.01 -| RU000A101TS4 | Джи-групп выпуск 1 | BBG00VQNQ8P9 | rub | 1 | 0.01 -| RU000A103DP0 | КАМАЗ БО-П08 | BBG011R5YX14 | rub | 1 | 0.01 -| RU000A100Z91 | ГТЛК выпуск 15 | BBG00QQ73R50 | rub | 1 | 0.01 -| RU000A103N19 | АПРИ Флай Плэнинг БО-П5 | BBG012F27YT0 | rub | 1 | 0.01 -| RU000A101QW2 | Сбер Банк | BBG00V9STNC5 | rub | 1 | 0.01 -| RU000A103WQ8 | Сэтл Групп выпуск 4 | TCS00A103WQ8 | rub | 1 | 0.01 -| XS0767473852 | Russia | BBG002V2YQY4 | usd | 1 | 0.01 -| RU000A100ZK0 | МТС выпуск 12 | BBG00QS35B41 | rub | 1 | 0.01 -| RU000A101012 | АФК Система выпуск 12 | BBG00QTDV828 | rub | 1 | 0.01 -| RU000A0ZYFC6 | МТС выпуск 3 | BBG00J3MJ9F0 | rub | 1 | 0.01 -| RU000A102DK3 | МаксимаТелеком выпуск 2 | TCS00A102DK3 | rub | 1 | 0.01 -| PLZL0223 | Polyus | BBG00FWXCM88 | usd | 1 | 0.01 -| RU000A1049M2 | Инкаб выпуск 1 | TCS00A1049M2 | rub | 1 | 0.01 -| RU000A100TH9 | РОСБАНК БО-002P выпуск 6 | BBG00Q87PDL9 | rub | 1 | 0.01 -| RU000A1036E6 | АльфаБанк 002Р выпуск 12 | TCS00A1036E6 | rub | 1 | 0.01 -| RU000A103HT3 | М.Видео выпуск 2 | BBG01237K1S0 | rub | 1 | 0.01 -| RU000A1013N6 | Пионер-Лизинг-БО-П03 | BBG00QZ4PBD9 | rub | 1 | 0.01 -| RU000A1022E6 | ПР-Лизинг 002P-01 | ISSUANCEPRLS | rub | 1 | 0.01 -| RU000A103FP5 | МКБ 001Р выпуск 3 | BBG011Y7LMW6 | rub | 1 | 0.01 -| RU000A103RL9 | Петроинжиниринг выпуск 1 | BBG012SMKJQ3 | rub | 1 | 0.01 -| RU000A101RT6 | Казахстан выпуск 5 | BBG011MDB894 | rub | 1 | 0.01 -| RU000A1008D7 | РЖД 001Р выпуск 14 | BBG00NTDT6H6 | rub | 1 | 0.01 -| RU000A100XP4 | Московская область выпуск 12 | BBG00QKPP373 | rub | 1 | 0.01 -| RU000A102NK2 | Обувь России 001P выпуск 4 | BBG00YZ2MHK8 | rub | 1 | 0.01 -| RU000A102T97 | Аэрофьюэлз выпуск 1 | TCS00A102T97 | rub | 1 | 0.01 -| RU000A0ZYVU5 | ПАО НК Роснефть 002P-05 | BBG00K7QTXX0 | rub | 1 | 0.01 -| RU000A103RS4 | Альфа-Банк 002Р выпуск 14 | BBG012QS03Q9 | rub | 1 | 0.01 -| RU000A101FG8 | Ростелеком 002P выпуск 2 | BBG00RT7J0J2 | rub | 1 | 0.01 -| XS2010044381 | GTLK | BBG00QDT3B79 | usd | 1 | 0.0001 -| RU000A103CW8 | МФК Займер выпуск 2 | BBG011QKQ291 | rub | 1 | 0.01 -| RU000A100YR8 | Роснано БО-002P выпуск 3 | BBG00QPRTZJ6 | rub | 1 | 0.01 -| RU000A0JWP46 | ПИК БО выпуск 7 | BBG00DGSQ218 | rub | 1 | 0.01 -| RU000A1018A2 | Томск выпуск 7 | BBG00R7TNJ39 | rub | 1 | 0.01 -| RU000A102RF3 | ХКФ Банк выпуск 7 | BBG00Z84TTZ2 | rub | 1 | 0.01 -| RU000A103F27 | Центральная ППК выпуск 3 | TCS00A103F27 | rub | 1 | 0.01 -| RU000A0JWYQ5 | АФК Система выпуск 4 | BBG00F6NJY77 | rub | 1 | 0.01 -| RU000A104YT6 | Самолет БО-П12 | TCS00A104YT6 | rub | 1 | 0.01 -| RU000A0ZYX28 | Sovcombank | BBG00K87T9V6 | usd | 100 | 0.0001 -| RU000A102234 | ТЕХНО Лизинг выпуск 3 | BBG00WYH0LS7 | rub | 1 | 0.01 -| RU000A0JXLR8 | Банк Открытие БО-П выпуск 03 | BBG00G9GSYG7 | rub | 1 | 0.01 -| RU000A102SM7 | СДЭК-Глобал выпуск 1 | BBG00ZLH4MW3 | rub | 1 | 0.01 -| RU000A102BK7 | О'КЕЙ выпуск 4 | TCS00A102BK7 | rub | 1 | 0.01 -| RU000A103YM3 | Сбер Банк 002P выпуск 1 | BBG013J0F816 | rub | 1 | 0.01 -| RU000A1015S0 | ЭнергоТехСервис выпуск 1 | BBG000000008 | rub | 1 | 0.01 -| RU000A101483 | Быстроденьги 001P-01 | BBG000000009 | rub | 1 | 0.01 -| RU000A1014B9 | О'КЕЙ выпуск 3 | BBG000000006 | rub | 1 | 0.01 -| RU000A100YP2 | Т.Г. Шевченко выпуск 1 | BBG000000005 | rub | 1 | 0.01 -| RU000A0ZYU39 | Эталон-Финанс выпуск 2 | BBG00K1Y24S8 | rub | 1 | 0.01 -| RU000A102TJ1 | ТМК 001Р выпуск 3 | TCS00A102TJ1 | rub | 1 | 0.01 -| RU000A101GD3 | ГТЛК выпуск 16 | BBG00S1L7459 | rub | 1 | 0.01 -| RU000A1018C8 | Трансмашхолдинг ПБО-04 | BBG00R6WV4J0 | rub | 1 | 0.01 -| RU000A0JXN05 | РЖД 001Р выпуск 1 | BBG00GCRTCX7 | rub | 1 | 0.01 -| RU000A1008W7 | Северсталь выпуск 6 | BBG00NTZTZ47 | rub | 1 | 0.01 -| RU000A1037S4 | С-Инновации выпуск 2 | BBG011CFWBP2 | rub | 1 | 0.01 -| RU000A0JWZY6 | АФК Система выпуск 5 | BBG00FB978L6 | rub | 1 | 0.01 -| RU000A0ZZWJ3 | ОбъединениеАгроЭлита выпуск 1 | TCS00A0ZZWJ3 | rub | 1 | 0.01 -| RU000A0ZYHX8 | Санкт-Петербург выпуск 1 | BBG00JCTFXS2 | rub | 1 | 0.01 -| RU000A1035D0 | Синара - Транспортные Машины выпуск 1 | TCS00A1035D0 | rub | 1 | 0.01 -| RU000A1005T9 | Гарант-Инвест БО 001P-05 | BBG00NJ3YSN8 | rub | 1 | 0.01 -| RU000A103QJ5 | МФК Займер выпуск 3 | BBG012NJPWN4 | rub | 1 | 0.01 -| RU000A0JXE06 | ГТЛК выпуск 3 | BBG00FVSZBH9 | rub | 1 | 0.01 -| RU000A102R73 | Банк Открытие БО-П выпуск 7 | BBG00Z8KGGC3 | rub | 1 | 0.01 -| SU26215RMFS2 | ОФЗ 26215 | BBG0058ZL5S7 | rub | 1 | 0.001 -| RU000A100YT4 | Экспобанк БО выпуск 2 | BBG00QPVNQS3 | rub | 1 | 0.01 -| RU000A1034M4 | Всеинструменты.ру выпуск 4 | BBG0116QGN40 | rub | 1 | 0.01 -| SU29012RMFS0 | ОФЗ 29012 | BBG00FFH2Z75 | rub | 1 | 0.001 -| RU000A103NY1 | РН Банк БО-1P выпуск 9 | BBG012G2MQN5 | rub | 1 | 0.01 -| ISSUANCERESO | РЕСО-Лизинг БО-П выпуск 03 | ISSUANCERESO | rub | 1 | -| RU000A102B48 | ЯТЭК выпуск 1 | TCS00A102B48 | rub | 1 | 0.01 -| RU000A1008J4 | АФК Система выпуск 10 | BBG00NRGHQQ0 | rub | 1 | 0.01 -| RU000A102RU2 | Европлан 001Р-01 | TCS00A102RU2 | rub | 1 | 0.01 -| RU000A100W52 | СуперОкс выпуск 1 | BBG00QKPJVK3 | rub | 1 | 0.01 -| RU000A102RT4 | Промсвязьбанк 003P выпуск 4 | BBG00Z9DF8B8 | rub | 1 | 0.01 -| RU000A103DT2 | ИСКЧ выпуск 1 | TCS00A103DT2 | rub | 1 | 0.01 -| RU000A104735 | ГК Пионер-001P выпуск 6 | TCS00A104735 | rub | 1 | 0.01 -| RU000A102SV8 | АФК Система выпуск 18 | BBG00ZH9RB82 | rub | 1 | 0.01 -| SU29007RMFS0 | ОФЗ 29007 | BBG007Z5DF79 | rub | 1 | 0.001 -| RU000A102FC5 | ВЭБ.РФ ПБО-1 выпуск 22 | BBG00YGJWYK4 | rub | 1 | 0.01 -| RU000A104C60 | ВТБ | BBG01496DQ23 | rub | 1 | 0.01 -| SU26239RMFS2 | ОФЗ 26239 | BBG011FHF1F7 | rub | 1 | 0.001 -| RU000A102RN7 | Ренессанс Кредит выпуск 6 | TCS00A102RN7 | rub | 1 | 0.01 -| RU000A101XS6 | МОЭК выпуск 4 | BBG00WFCV2B5 | rub | 1 | 0.01 -| RU000A103L03 | ГК Самолет выпуск 10 | BBG0129FDB02 | rub | 1 | 0.01 -| RU000A1046N6 | Асфальтобетонный завод № 1 выпуск 2 | TCS00A1046N6 | rub | 1 | 0.01 -| RU000A102T63 | ЛСР выпуск 6 | RU000A102T63 | rub | 1 | 0.01 -| RU000A1006C3 | Пионер-Лизинг-БО-П02 | BBG00NLMHM55 | rub | 1 | 0.01 -| RU000A104XR2 | Автодор БО-3 выпуск 2 | TCS00A104XR2 | rub | 1 | 0.01 -| SU26221RMFS0 | ОФЗ 26221 | BBG00G6V7252 | rub | 1 | 0.001 -| RU000A0ZZ8A2 | ПЮДМ БО-П1 | BBG00A0ZZ8A2 | rub | 1 | 0.01 -| RU000A101350 | Газпромбанк 001P выпуск 14 | BBG00QYTBB95 | rub | 1 | 0.01 -| RU000A0JWHA4 | Russia | BBG00CZCT9R8 | usd | 1 | 0.01 -| RU000A0ZZV86 | ДОМ.РФ ИА 006P | BBG00MMJ90B3 | rub | 1 | 0.01 -| RU000A102BF7 | НК Продкорпорация выпуск 1 | TCS00A102BF7 | rub | 1 | 0.01 -| RU000A102SG9 | Селектел выпуск 1 | TCS00A102SG9 | rub | 1 | 0.01 -| ALFAperp | Alfa Bond Issuance PLC | BBG00JS9D851 | usd | 1 | 0.01 -| RU000A100QY0 | Электрощит-Стройсистема выпуск 1 | BBG00Q38CTS4 | rub | 1 | 0.01 -| RU000A0ZYBV5 | ЛСР выпуск 3 | BBG00HTSM1G5 | rub | 1 | 0.01 -| RU000A0ZZ8X4 | Краснодарский край выпуск 2 | BBG00L2L5GP6 | rub | 1 | 0.01 -| RU000A104FX7 | А Девелопмент | BBG014VTFQJ8 | rub | 1 | 0.01 -| XS1843443273 | Evraz | BBG00NQ976S0 | usd | 1 | 0.0001 -| RU000A1026H0 | Гидромашсервис БО выпуск 3 | ISSUANCEHYDR | rub | 1 | 0.01 -| RU000A0ZYX69 | ФПК выпуск 3 | BBG00K7DT3F5 | rub | 1 | 0.01 -| RU000A101RZ3 | Казахстан выпуск 11 | BBG00XH4W3N3 | rub | 1 | 0.01 -| RU000A1016U4 | Гарант-Инвест БО 001P-06 | BBG00R4F67Z2 | rub | 1 | 0.01 -| RU000A0JTMK9 | РусГидро выпуск 8 | BBG00440D136 | rub | 1 | 0.01 -| RU000A101C89 | Сбер Банк 001P-SBER15 | BBG00RKBQ4D2 | rub | 1 | 0.01 -| RU000A100HU7 | МТС выпуск 10 | BBG00PN9H616 | rub | 1 | 0.01 -| RU000A102B97 | Вита Лайн 001Р выпуск 2 | TCS00A102B97 | rub | 1 | 0.01 -| XS0114288789 | Russia 2030 | BBG000056Z49 | usd | 1000 | 0.0001 -| RU000A102RX6 | ГК Самолет выпуск 9 | TCS00A102RX6 | rub | 1 | 0.01 -| RU000A103W91 | Обувь России 002P выпуск 1 | BBG0132XRL10 | rub | 1 | 0.01 -| XS1514045886 | Lukoil | BBG00F3406Z2 | usd | 1 | 0.0001 -| RU000A100L63 | Белуга Групп БО-П02 | BBG00PYL6030 | rub | 1 | 0.01 -| RU000A104693 | АФК Система выпуск 23 | TCS00A104693 | rub | 1 | 0.01 -| RU000A102F28 | РОСБАНК БО-002P выпуск 8 | BBG00YCM0MW9 | rub | 1 | 0.01 -| RU000A103D37 | Тинькофф Ипотечный Агент выпуск 1 | TCS00A103D37 | rub | 1 | 0.01 -| RU000A100RG5 | ЕвроХим выпуск 6 | BBG00Q3G7Y38 | rub | 1 | 0.01 -| RU000A101665 | Нижегородская область выпуск 14 | BBG00R4D6C68 | rub | 1 | 0.01 -| RU000A102CK5 | Russia | BBG00Y5TNGR6 | eur | 1 | 0.01 -| RU000A104WS2 | Whoosh выпуск 1 | TCS00A104WS2 | rub | 1 | 0.01 -| RU000A102FR3 | Сбербанк | BBG00YHVQ768 | rub | 1 | 0.01 -| RU000A1034J0 | Европлан 001Р-02 | BBG0115R0Z30 | rub | 1 | 0.01 -| RU000A100733 | Автобан-Финанс выпуск 2 | BBG00NPS4MC4 | rub | 1 | 0.01 -| RU000A100GY1 | ВЭБ.РФПБО-001Р-17 | BBG00PMHXRL3 | rub | 1 | 0.01 -| RU000A104DZ7 | Сибнефтехимтрейд выпуск 2 | BBG014KC7YW4 | rub | 1 | 0.01 -| XS1961080501 | EuroChem | BBG00NJHVPW6 | usd | 1 | 0.0001 -| RU000A1018K1 | Татнефть БО-001P выпуск 1 | BBG00R72VWS3 | rub | 1 | 0.01 -| RU000A1020W2 | Светофор Групп выпуск 2 | BBG00WMMMHJ4 | rub | 1 | 0.01 -| RU000A1016K5 | Банк Зенит выпуск 5 | BBG00R4C5FF4 | rub | 1 | 0.01 -| RU000A1043K9 | Нижегородская область выпуск 16 | BBG013PZT8B6 | rub | 1 | 0.01 -| RU000A100WC4 | МКБ 001P выпуск 1 | BBG00QHSP5W8 | rub | 1 | 0.01 -| SU52002RMFS1 | ОФЗ 52002 | BBG00KFLDC92 | rub | 1 | 0.001 -| RU000A100D89 | Республика Беларусь выпуск 7 | BBG00TQHNK64 | rub | 1 | 0.01 -| SU52003RMFS9 | ОФЗ 52003 | BBG00XD2M5S2 | rub | 1 | 0.001 -| RU000A100LS3 | ЕвроХим выпуск 4 | BBG00PV1MX64 | rub | 1 | 0.01 -| XS2243636219 | Gazprom Perp EUR | BBG00XV188K2 | eur | 1 | 0.0001 -| RU000A0ZYCZ4 | Республика Карелия выпуск 18 | BBG00HZ418L3 | rub | 1 | 0.01 -| RU000A104BC0 | Калининградская область выпуск 4 | BBG0148NSWQ2 | rub | 1 | 0.01 -| RU000A102KR3 | АПРИ Флай Плэнинг БО-П4 | BBG00YNJ37B7 | rub | 1 | 0.01 -| RU000A102W68 | ХК Финанс выпуск 6 | BBG00ZSJ8ZX8 | rub | 1 | 0.01 -| RU000A102LF6 | Пионер-Лизинг-БО-П04 | BBG00YQ6NDD5 | rub | 1 | 0.01 -| RU000A0JW1G7 | Роснано выпуск 7 | BBG00BRD9CY4 | rub | 1 | 0.01 -| RU000A0ZZ5J9 | Почта России выпуск 5 | BBG00KTDNXH9 | rub | 1 | 0.01 -| RU000A1043N3 | КАМАЗ БО-П09 | BBG013RRTP42 | rub | 1 | 0.01 -| RU000A103NZ8 | Совкомбанк БО-П4 | BBG012G2PXW7 | rub | 1 | 0.01 -| RU000A1031K4 | ДОМ.РФ ИА БО-001Р-08 | TCS00A1031K4 | rub | 1 | 0.01 -| XS1713473608 | GTLK | BBG00NV9NH48 | usd | 1 | 0.0001 -| RU000A100238 | МТС выпуск 7 | BBG00N6FS8J1 | rub | 1 | 0.01 -| RU000A1032P1 | СФО ВТБ РКС-1 выпуск 1 | BBG011DV0155 | rub | 1 | 0.01 -| RU000A104VS4 | Ростелеком 002P выпуск 8 | TCS00A104VS4 | rub | 1 | 0.01 -| RU000A101939 | МТС выпуск 13 | BBG00R7THC95 | rub | 1 | 0.01 -| TRY0141 | Turkey | BBG001CYCG37 | usd | 1 | 0.01 -| RU000A0JXFS8 | Газпром капитал выпуск 5 | BBG00FZMB3Y3 | rub | 1 | 0.01 -| RU000A101YD6 | Легенда выпуск 3 | BBG00WH3QVR8 | rub | 1 | 0.01 -| RU000A101RP4 | Казахстан выпуск 1 | BBG00XH4N488 | rub | 1 | 0.01 -| SU26238RMFS4 | ОФЗ 26238 | BBG011FJ4HS6 | rub | 1 | 0.001 -| RU000A102K39 | РЕСО-Лизинг БО-П выпуск 8 | BBG00YMTR6J4 | rub | 1 | 0.01 -| RU000A0ZYFB8 | Красноярский край выпуск 14 | BBG00J5KYZN8 | rub | 1 | 0.01 -| RU000A101EF3 | Металлоинвест БО выпуск 4 | BBG00RQ1DXY5 | rub | 1 | 0.01 -| RU000A103PE8 | Промсвязьбанк 003P выпуск 7 | BBG012J4Q4W3 | rub | 1 | 0.01 -| RU000A103WB0 | Славянск ЭКО выпуск 1 | BBG01338VXJ4 | rub | 1 | 0.01 -| RU000A103372 | АФК Система выпуск 20 | BBG0110X9D23 | rub | 1 | 0.01 -| RU000A102QY6 | ТФН выпуск 1 | BBG00Z8KBL73 | rub | 1 | 0.01 -| RU000A103CD8 | ЛК Дельта выпуск 1 | TCS00A103CD8 | rub | 1 | 0.01 -| RU000A100YE6 | ТрансКонтейнер ПБО выпуск 1 | BBG00QPG0TF9 | rub | 1 | 0.01 -| RU000A100FE5 | ГТЛК выпуск 14 | BBG00PGVLT83 | rub | 1 | 0.01 -| XS1843434959 | MMK | BBG00PC6QBX8 | usd | 1 | 0.0001 -| RU000A1032D7 | Маныч-Агро выпуск 1 | TCS00A1032D7 | rub | 1 | 0.01 -| RU000A0ZYYN4 | Russia | BBG00KB9VG76 | usd | 1 | 0.01 -| RU000A104FG2 | Сегежа 002P выпуск 3 | TCS00A104FG2 | rub | 1 | 0.01 -| EGPT0329 | The Arab Republic of Egypt | BBG00NDMW359 | usd | 1 | 0.01 -| RU000A100G03 | Буровая компания Евразия выпуск 3 | BBG00PGSFB22 | rub | 1 | 0.01 -| RU000A101LV5 | СофтЛайн Трейд выпуск 3 | BBG00TFS9DH2 | rub | 1 | 0.01 -| RU000A1030T7 | Москва выпуск 73 | BBG010JBJ976 | rub | 1 | 0.01 -| RU000A101M04 | РЖД 001Р выпуск 20 | BBG00TGK62V9 | rub | 1 | 0.01 -| RU000A100GW5 | Alfa Bank | BBG00PNDYR58 | rub | 1 | 0.01 -| SU25084RMFS3 | ОФЗ 25084 | BBG00RRT3TX4 | rub | 1 | 0.001 -| RU000A101S99 | Кировский завод выпуск 1 | BBG00VCVRQQ4 | rub | 1 | 0.01 -| XS1533915721 | Evraz | BBG00G4V94J3 | usd | 1 | 0.0001 -| XS2159874002 | Lukoil | BBG00TJF05J0 | usd | 1 | 0.0001 -| RU000A103C95 | АФК Система выпуск 21 | TCS00A103C95 | rub | 1 | 0.01 -| RU000A1009Z8 | О'КЕЙ выпуск 2 | BBG00NZHNQH2 | rub | 1 | 0.01 -| RU000A100AD8 | Россети Московский регион выпуск 1 | BBG00NZJ4J03 | rub | 1 | 0.01 -| RU000A102AB8 | Завод КриалЭнергоСтрой выпуск 2 | BBG00Y1Q22N4 | rub | 1 | 0.01 -| RU000A0ZYWY5 | МТС выпуск 6 | BBG00K64TZR2 | rub | 1 | 0.01 -| RU000A104UV0 | ДОМ.РФ ИА БО-001Р-18 | TCS00A104UV0 | rub | 1 | 0.01 -| RU000A104V75 | Почта России | TCS00A104V75 | rub | 1 | 0.01 -| RU000A1024W4 | Черкизово выпуск БО-001P-03 | BBG00XH3GY82 | rub | 1 | 0.01 -| RU000A103RT2 | Экспобанк 001Р-01 | TCS00A103RT2 | rub | 1 | 0.01 -| RU000A103125 | ДОМ.РФ ИА БО-001Р-07 | TCS00A103125 | rub | 1 | 0.01 -| RU000A103117 | М.Видео выпуск 1 | TCS00A103117 | rub | 1 | 0.01 -| RU000A0JXSD3 | Волгоградская область выпуск 7 | BBG00GSNVXC3 | rub | 1 | 0.01 -| RU000A0ZZES2 | Газпром БО-22 | BBG00LLM12G8 | rub | 1 | 0.01 -| RU000A0ZYU21 | Альфа-Банк выпуск 40 | BBG00K4MPZ61 | rub | 1 | 0.01 -| RU000A0ZYMJ7 | Томская область выпуск 62 | BBG00JM15X21 | rub | 1 | 0.01 -| XS0997544860 | Gazpromneft | BBG005MCTC09 | usd | 1 | 0.0001 -| RU000A104V26 | РЕСО-Лизинг | TCS00A104V26 | rub | 1 | 0.01 -| XS2099763075 | Credit Bank of Moscow | BBG00RHTYB60 | usd | 1 | 0.0001 -| RU000A103S14 | Европлан 001Р-04 | TCS00A103S14 | rub | 1 | 0.01 -| RU000A100ZL8 | ЛСР выпуск 5 | BBG00QRKJF13 | rub | 1 | 0.01 -| SU26235RMFS0 | ОФЗ 26235 | BBG00Y04Q3V7 | rub | 1 | 0.001 -| RU000A1010X1 | ИКС 5 Финанс выпуск 7 | BBG00QTYPGQ5 | rub | 1 | 0.01 -| RU000A102ZS9 | ЭБИС выпуск 4 | BBG01016PHF2 | rub | 1 | 0.01 -| RU000A1043L7 | МФК Эйрлоанс выпуск 1 | TCS00A1043L7 | rub | 1 | 0.01 -| RU000A103WZ9 | NexTouch выпуск 1 | BBG0136Y8NS2 | rub | 1 | 0.01 -| RU000A104123 | ДОМ.РФ 001Р-09 | BBG013TSL6D8 | rub | 1 | 0.01 -| EGPT0431 | ARAB REPUBLIC | BBG00NTC1SR9 | eur | 1 | 0.01 -| RU000A101QM3 | Газпром капитал БО-001Р выпуск 3 | BBG00V93CKD3 | rub | 1 | 0.01 -| RU000A0ZYLK7 | Верхнебаканский цементный завод 001P выпуск 1 | BBG00JM14CY3 | rub | 1 | 0.01 -| RU000A100LV7 | ЕвроХим выпуск 5 | BBG00PSN47C0 | rub | 1 | 0.01 -| RU000A101HJ8 | Магнит 002Р выпуск 1 | BBG00RVD9KF7 | rub | 1 | 0.01 -| RU000A0ZYG52 | Ростелеком выпуск 3 | BBG00J7HHGH1 | rub | 1 | 0.01 -| RU000A0ZYGM3 | Орловская область 2017 | BBG00JC8FQL0 | rub | 1 | 0.01 -| RU000A1043G7 | Сегежа 002P выпуск 2 | TCS00A1043G7 | rub | 1 | 0.01 -| RU000A103RD6 | ДОМ.РФ Социальные облигации выпуск 1 | TCS00A103RD6 | rub | 1 | 0.01 -| RU000A100Q35 | ПР-Лизинг выпуск 3 | BBG00PZ6T956 | rub | 1 | 0.01 -| RU000A101PU8 | Трансмашхолдинг ПБО-05 | BBG00V3L02Q8 | rub | 1 | 0.01 -| RU000A1030N0 | ФЭС-Агро выпуск 2 | BBG0107RVMG1 | rub | 1 | 0.01 -| RU000A101KJ2 | Калита выпуск 1 | BBG00SY31CX0 | rub | 1 | 0.01 -| XS2249778247 | GTLK | BBG00XXVWNC3 | usd | 1 | 0.0001 -| RU000A1043E2 | Новосибирская область выпуск 22 | TCS00A1043E2 | rub | 1 | 0.01 -| RU000A1015P6 | Обувь России 001P выпуск 2 | BBG00R4Y73X1 | rub | 1 | 0.01 -| RU000A100V79 | Тинькофф Банк выпуск 3 | BBG00QDTJQD2 | rub | 1 | 0.01 -| RU000A103G75 | Сбер Банк 001P-SBER32 | BBG0122KNFZ0 | rub | 1 | 0.01 -| RU000A1007Z2 | РЖД 001Р выпуск 13 | BBG00NQKW4B0 | rub | 1 | 0.01 -| SU26233RMFS5 | ОФЗ 26233 | BBG00RRT3V69 | rub | 1 | 0.001 -| RU000A0JUAG0 | РСГ-Финанс выпуск 1 | BBG005K570Y9 | rub | 1 | 0.01 -| RU000A1030X9 | Сэтл Групп выпуск 3 | TCS00A1030X9 | rub | 1 | 0.01 -| RU000A103H25 | НПО Химтэк выпуск 1 | BBG0121GPL12 | rub | 1 | 0.01 -| RU000A0JXRD5 | Почта России выпуск 2 | BBG00GSG5RB1 | rub | 1 | 0.01 -| RU000A1043Z7 | Биннофарм Групп выпуск 1 | TCS00A1043Z7 | rub | 1 | 0.01 -| SU29008RMFS8 | ОФЗ 29008 | BBG007Z5DZS2 | rub | 1 | 0.001 -| RU000A103N76 | ИКС 5 Финанс 002Р выпуск 1 | BBG012F7Y8K5 | rub | 1 | 0.01 -| GMKN1022 | MMC Finance DAC | BBG00B59DR33 | usd | 1 | 0.01 -| RU000A1045V1 | ЭБИС выпуск 5 | BBG013VR70Y3 | rub | 1 | 0.01 -| RU000A101LJ0 | ЕвроХим выпуск 8 | BBG00TCWB8X6 | rub | 1 | 0.01 -| RU000A103133 | Новотранс выпуск 2 | TCS00A103133 | rub | 1 | 0.01 -| RU000A101NJ6 | ЧЗПСН-Профнастил БО-П2 | BBG00TW9WTR3 | rub | 1 | 0.01 -| RU000A104AX8 | МФК Лайм-Займ выпуск 1 | BBG0147H0889 | rub | 1 | 0.01 -| RU000A101WB4 | ЧТПЗ выпуск 5 | BBG00W1P2G59 | rub | 1 | 0.01 -| RU000A0JX0Z8 | Ямало-Ненецкий АО выпуск 2 | BBG00FGC1ZM9 | rub | 1 | 0.01 -| RU000A101JF2 | Онлайн Микрофинанс выпуск БО-2 | BBG00SKZW8N0 | rub | 1 | 0.01 -| RU000A102DR8 | Омская область выпуск 4 | BBG00YC4R9B2 | rub | 1 | 0.01 -| RU000A1040E8 | Freedom Finance | BBG013J0LT31 | usd | 1 | 0.0001 -| XS1143363940 | Credit Bank of Moscow | BBG007KHNMS0 | rub | 1 | 0.01 -| VTBperp | VTB Perp | BBG003824NB3 | usd | 1 | 0.01 -| RU000A101MT7 | Детский мир выпуск 6 | BBG00TQG4212 | rub | 1 | 0.01 -| RU000A1037L9 | Бифорком Тек выпуск 1 | BBG011CG00T5 | rub | 1 | 0.01 -| RU000A0ZYLF7 | ФПК выпуск 2 | BBG00JGKV6T7 | rub | 1 | 0.01 -| RU000A1024R4 | Донской Ломбард выпуск 1 | BBG00XH486K6 | rub | 1 | 0.01 -| RU000A102H91 | Автодор БО-3 выпуск 1 | BBG00YJJPT66 | rub | 1 | 0.01 -| RU000A102960 | РН Банк БО-1P выпуск 7 | BBG00XZ37219 | rub | 1 | 0.01 -| RU000A102986 | СУЭК-Финанс выпуск 6 | BBG00XZ95JN7 | rub | 1 | 0.01 -| RU000A0ZZZ17 | НКНХ выпуск 1 | BBG00MT69C64 | rub | 1 | 0.01 -| RU000A103QK3 | VK выпуск 1 | TCS00A103QK3 | rub | 1 | 0.01 -| RU000A104CJ3 | Автодом выпуск 1 | TCS00A104CJ3 | rub | 1 | 0.01 -| RU000A103QH9 | Эталон-Финанс выпуск 3 | TCS00A103QH9 | rub | 1 | 0.01 -| RU000A0JX5W4 | Альфа-Банк выпуск 18 | BBG00FRWYRH1 | rub | 1 | 0.01 -| RU000A104B53 | АСПЭК-Домстрой выпуск 1 | BBG0149NW6B9 | rub | 1 | 0.01 -| RU000A1014P9 | КарМани БО выпуск 3 | BBG00R289K33 | rub | 1 | 0.01 -| RU000A100W60 | Европлан БО 03 | BBGHUYNYA0X4 | rub | 1 | 0.01 -| RU000A100VY0 | ЭБИС выпуск 1 | BBGHUYNYA0X3 | rub | 1 | 0.01 -| RU000A0JT940 | Роснефть выпуск 4 | BBG003LLR9S4 | rub | 1 | 0.01 -| RU000A102J57 | Теплоэнерго выпуск 1 | BBG00YLQVM01 | rub | 1 | 0.01 -| RU000A102T55 | МФК ЦФП выпуск 1 | BBG00ZHYDZW2 | rub | 1 | 0.01 -| RU000A1005L6 | АФК Система выпуск 9 | BBG00NHLC0N5 | rub | 1 | 0.01 -| RU000A0JWXF0 | Красноярский край выпуск 12 | BBG00F171QY3 | rub | 1 | 0.01 -| XS0559915961 | VEB | BBG0018V9PN0 | usd | 1 | 0.0001 -| XS1878009866 | BCS Structured Products 20jun2023 | TCS878009866 | usd | 1 | 0.0001 -| RU000A104UA4 | Сегежа | TCS00A104UA4 | rub | 1 | 0.01 -| RU000A102QP4 | РЖД 001Р выпуск 21 | BBG00Z6BQMY7 | rub | 1 | 0.01 -| RU000A0JXJE0 | Гидромашсервис БО выпуск 1 | BBG00FZYDS70 | rub | 1 | 0.01 -| RU000A0ZYBM4 | Альфа-Банк выпуск 21 | BBG00HTLYK93 | rub | 1 | 0.01 -| RU000A101FY1 | МОЭСК 001P выпуск 2 | BBG00RVF4P66 | rub | 1 | 0.01 -| RU000A101SC0 | ГТЛК выпуск 18 | BBG00VDF68J9 | rub | 1 | 0.01 -| RU000A101UD4 | Электрощит-Стройсистема выпуск 2 | BBG00VSYBL16 | rub | 1 | 0.01 -| RU000A103DY2 | БЭЛТИ-ГРАНД выпуск 4 | BBG011RXTDD0 | rub | 1 | 0.01 -| RU000A1042W6 | ВЭБ.РФ ПБО-2 выпуск 31 | TCS00A1042W6 | rub | 1 | 0.01 -| RU000A104362 | Восточная Стивидорная Компания выпуск 2 | TCS00A104362 | rub | 1 | 0.01 -| RU000A1006B5 | ТД Мясничий выпуск 3 | BBG00NLMJ541 | rub | 1 | 0.01 -| RU000A0JWG05 | X5 выпуск 6 | BBG00CSJ8ZX9 | rub | 1 | 0.01 -| RU000A100XC2 | Полюс ПБО-1 | BBG00QKHK9J0 | rub | 1 | 0.01 -| RU000A103Q08 | HENDERSON выпуск 1 | TCS00A103Q08 | rub | 1 | 0.01 -| TRY0228 | Republic of Turkey | BBG00JQ3B6W2 | usd | 1 | 0.01 -| RU000A0ZYC98 | МегаФон БО-1 выпуск 3 | BBG00HTR61W7 | rub | 1 | 0.01 -| RU000A100VS2 | Атомстройкомплекс выпуск 1 | BBGHUYNYA015 | rub | 1 | 0.01 -| RU000A1001L5 | ЮАИЗ выпуск 1 | BBG00N58ZYV9 | rub | 1 | 0.01 -| RU000A103UL3 | Татнефтехим 001P выпуск 1 | BBG012Y8J8C8 | rub | 1 | 0.01 -| RU000A102UZ5 | Кировский завод выпуск 2 | BBG00ZQT2640 | rub | 1 | 0.01 -| RU000A101S08 | Казахстан выпуск 12 | BBG011MDDKK2 | rub | 1 | 0.01 -| RU000A0ZZ1J8 | ГТЛК выпуск 9 | BBG00KHR8SP0 | rub | 1 | 0.01 -| SU26223RMFS6 | ОФЗ 26223 | BBG00K53DJP0 | rub | 1 | 0.001 -| RU000A1048A9 | Брусника выпуск 2Р-1 | BBG0141LK3L0 | rub | 1 | 0.01 -| RU000A102KG6 | ГК Пионер-001Р выпуск 5 | BBG00YN4P9Q6 | rub | 1 | 0.01 -| RU000A1041B2 | Сегежа 002P выпуск 1 | TCS00A1041B2 | rub | 1 | 0.01 -| XS2243631095 | Gazprom Perp USD | BBG00XV2BDX1 | usd | 1 | 0.0001 -| RU000A0ZYDU3 | Свердловская область выпуск 4 | BBG00HY5JWH4 | rub | 1 | 0.01 -| RU000A0JTM44 | Башнефть выпуск 8 | BBG00445QP01 | rub | 1 | 0.01 -| RU000A0JXTS9 | Russia | BBG00H0HVGD0 | usd | 1 | 0.01 -| XS1589106910 | Credit Bank of Moscow | BBG00G9DSXZ5 | usd | 1 | 0.0001 -| RU000A102VR0 | ГТЛК 002P выпуск 1 | BBG00ZRZX9T8 | rub | 1 | 0.01 -| RU000A100881 | Ростелеком 001 выпуск 5 | BBG00NQKWGH7 | rub | 1 | 0.01 -| SU46022RMFS8 | ОФЗ 46022 | BBG0000LFC18 | rub | 1 | 0.001 -| RU000A1011Q3 | Новосибирская область | BBG00QXSLFN2 | rub | 1 | 0.01 -| RU000A1047S3 | Первое коллекторское бюро 001Р выпуск 3 | BBG0140BZS87 | rub | 1 | 0.01 -| RU000A100MG6 | Сэтл Групп выпуск 2 | BBG00PT0ZT82 | rub | 1 | 0.01 -| RU000A100PM7 | РСГ-Финанс выпуск 11 | BBG00Q214T90 | rub | 1 | 0.01 -| RU000A103M36 | ТрансФин-М 001Р-07 | BBG012C34FX0 | rub | 1 | 0.01 -| RU000A0JWHN7 | Ярославская область выпуск 14 | BBG00CXHTFY7 | rub | 1 | 0.01 -| RU000A103C46 | ПИК-Корпорация выпуск 4 | BBG011PCH913 | rub | 1 | 0.01 -| RU000A103PX8 | ЛСР выпуск 7 | TCS00A103PX8 | rub | 1 | 0.01 -| RU000A104BY4 | Бизнес-Недвижимость выпуск 2 | TCS00A104BY4 | rub | 1 | 0.01 -| RU000A101QN1 | Газпром Капитал | BBG00V93GCX5 | rub | 1 | 0.01 -| RU000A0ZZAL5 | ГТЛК выпуск 11 | BBG00L92CX58 | usd | 1 | 0.0001 -| RU000A104SX0 | РЖД | TCS00A104SX0 | rub | 1 | 0.01 -| RU000A0ZYEE5 | ГПБ (АО) БО-17 | BBG00J3T6HB5 | rub | 1 | 0.01 -| RU000A104C78 | Аренза-Про выпуск 1 | TCS00A104C78 | rub | 1 | 0.01 -| XS0893212398 | VEB | BBG0044FD516 | eur | 1 | 0.0001 -| RU000A104SY8 | РЖД | TCS00A104SY8 | rub | 1 | 0.01 -| RU000A103SZ7 | Аэрофьюэлз выпуск 2 | BBG012R5Y2V7 | rub | 1 | 0.01 -| RU000A101P92 | Т.Г. Шевченко выпуск 2 | BBG00V0WL952 | rub | 1 | 0.01 -| RU000A102G50 | Восточная Стивидорная Компания выпуск 1 | BBG00YGKVB04 | rub | 1 | 0.01 -| RU000A100DG5 | Европлан БО 06 | BBG00PC4M4X3 | rub | 1 | 0.01 -| RU000A104SU6 | МТС | TCS00A104SU6 | rub | 1 | 0.01 +| Ticker | Full name | FIGI | Cur | Lot | Step | +|--------------|-----------------------------------------------------------|--------------|-----|---------|------------| +| RU000A101228 | МОЭК выпуск 3 | BBG00QXGFHS6 | rub | 1 | 0.01 | +| RU000A101RZ3 | Казахстан выпуск 11 | BBG00XH4W3N3 | rub | 1 | 0.01 | +| RU000A102R73 | Банк Открытие БО-П выпуск 7 | BBG00Z8KGGC3 | rub | 1 | 0.01 | +| RU000A102D46 | ДОМ.РФ ИА 018P | TCS00A102D46 | rub | 1 | 0.01 | +| RU000A1014B9 | О'КЕЙ выпуск 3 | BBG000000006 | rub | 1 | 0.01 | +| RU000A1022E6 | ПР-Лизинг 002P-01 | ISSUANCEPRLS | rub | 1 | 0.01 | +| RU000A0ZZ8A2 | ПЮДМ БО-П1 | BBG00A0ZZ8A2 | rub | 1 | 0.01 | +| RU000A0JT965 | Роснефть выпуск 5 | BBG003LQ7J76 | rub | 1 | 0.01 | +| RU000A100DC4 | МСБ-Лизинг 002P выпуск 2 | BBG00PNLY692 | rub | 1 | 0.01 | +| RU000A0ZYT40 | ПАО НК Роснефть 002P-04 | BBG00K2JQWT1 | rub | 1 | 0.01 | +| RU000A1046N6 | Асфальтобетонный завод № 1 выпуск 2 | TCS00A1046N6 | rub | 1 | 0.01 | +| RU000A103N84 | Россельхозбанк выпуск 4 | BBG012G45RC0 | rub | 1 | 0.01 | +| RU000A101GD3 | ГТЛК выпуск 16 | BBG00S1L7459 | rub | 1 | 0.01 | +| RU000A1008D7 | РЖД 001Р выпуск 14 | BBG00NTDT6H6 | rub | 1 | 0.01 | +| RU000A101TA2 | Урожай выпуск 1 | BBG00VL9P3K2 | rub | 1 | 0.01 | +| RU000A0ZYR91 | ГТЛК выпуск 8 | BBG00JYHMLM8 | rub | 1 | 0.01 | +| RU000A103DT2 | ИСКЧ выпуск 1 | TCS00A103DT2 | rub | 1 | 0.01 | +| RU000A0ZYKH5 | Оренбургская область выпуск 4 | BBG00JG7XG76 | rub | 1 | 0.01 | +| RU000A1028H6 | Сибнефтехимтрейд выпуск 1 | TCS00A1028H6 | rub | 1 | 0.01 | +| RU000A104UV0 | ДОМ.РФ ИА БО-001Р-18 | TCS00A104UV0 | rub | 1 | 0.01 | +| RU000A104DZ7 | Сибнефтехимтрейд выпуск 2 | BBG014KC7YW4 | rub | 1 | 0.01 | +| RU000A0JXQ44 | РЖД 001Р выпуск 2 | BBG00GK3W839 | rub | 1 | 0.01 | +| RU000A102LF6 | Пионер-Лизинг-БО-П04 | BBG00YQ6NDD5 | rub | 1 | 0.01 | +| RU000A102X18 | Гарант-Инвест БО 002P-3 | TCS00A102X18 | rub | 1 | 0.01 | +| RU000A102LD1 | Черкизово выпуск 4 | TCS00A102LD1 | rub | 1 | 0.01 | +| RU000A103N19 | АПРИ Флай Плэнинг БО-П5 | BBG012F27YT0 | rub | 1 | 0.01 | +| RU000A102BK7 | О'КЕЙ выпуск 4 | TCS00A102BK7 | rub | 1 | 0.01 | +| RU000A103935 | re:Store выпуск 1 | TCS00A103935 | rub | 1 | 0.01 | +| RU000A0ZYDU3 | Свердловская область выпуск 4 | BBG00HY5JWH4 | rub | 1 | 0.01 | +| SU26230RMFS1 | ОФЗ 26230 | BBG00PBZNWM4 | rub | 1 | 0.001 | +| RU000A0JVVA7 | Роснано выпуск 6 | BBG00B8SVRD7 | rub | 1 | 0.01 | +| RU000A101483 | Быстроденьги 001P-01 | BBG000000009 | rub | 1 | 0.01 | +| XS2243636219 | Gazprom Perp EUR | BBG00XV188K2 | eur | 1 | 0.0001 | +| RU000A1043L7 | МФК Эйрлоанс выпуск 1 | TCS00A1043L7 | rub | 1 | 0.01 | +| RU000A1043Z7 | Биннофарм Групп выпуск 1 | TCS00A1043Z7 | rub | 1 | 0.01 | +| XS1433454243 | Sovcomflot | BBG00D2QX2B8 | usd | 1 | 0.0001 | +| RU000A102FT9 | АФК Система выпуск 17 | TCS00A102FT9 | rub | 1 | 0.01 | +| XS1589106910 | Credit Bank of Moscow | BBG00G9DSXZ5 | usd | 1 | 0.0001 | +| RU000A1004K1 | Европлан БО 05 | BBG00NHJGKN2 | rub | 1 | 0.01 | +| RU000A0ZYEQ9 | Сэтл Групп выпуск 1 | BBG00HXHKRV2 | rub | 1 | 0.01 | +| RU000A1015P6 | Обувь России 001P выпуск 2 | BBG00R4Y73X1 | rub | 1 | 0.01 | +| RU000A104BC0 | Калининградская область выпуск 4 | BBG0148NSWQ2 | rub | 1 | 0.01 | +| RU000A104VS4 | Ростелеком 002P выпуск 8 | TCS00A104VS4 | rub | 1 | 0.01 | +| RU000A105518 | Европлан 001Р-05 | TCS00A105518 | rub | 1 | 0.01 | +| ISSUANCEBRUS | Брусника 001P-01 | ISSUANCEBRUS | rub | 1 | 0 | +| RU000A100VS2 | Атомстройкомплекс выпуск 1 | BBGHUYNYA015 | rub | 1 | 0.01 | +| RU000A100YK3 | Камаз БО-П05 | BBG00QPVPLY5 | rub | 1 | 0.01 | +| SU29009RMFS6 | ОФЗ 29009 | BBG007Z5F748 | rub | 1 | 0.001 | +| RU000A1020S0 | Первое коллекторское бюро выпуск 2 | BBG00WMMJMN2 | rub | 1 | 0.01 | +| RU000A0JWDN6 | РУСАЛ Братск выпуск 1 | BBG00CNJBLC4 | rub | 1 | 0.01 | +| RU000A1012K4 | СЭЗ им. Серго Орджоникидзе выпуск 1 | BBG00QYKX940 | rub | 1 | 0.01 | +| RU000A104BY4 | Бизнес-Недвижимость выпуск 2 | TCS00A104BY4 | rub | 1 | 0.01 | +| RU000A1034J0 | Европлан 001Р-02 | BBG0115R0Z30 | rub | 1 | 0.01 | +| RU000A1048A9 | Брусника выпуск 2Р-1 | BBG0141LK3L0 | rub | 1 | 0.01 | +| RU000A1049P5 | Главторг выпуск 1 | BBG01475RD30 | rub | 1 | 0.01 | +| RU000A102ZH2 | ЯТЭК выпуск 2 | BBG00ZZNPB92 | rub | 1 | 0.01 | +| RU000A0ZYR18 | Башкирская содовая компания выпуск 1 | BBG00JYHHXN7 | rub | 1 | 0.01 | +| RU000A101M04 | РЖД 001Р выпуск 20 | BBG00TGK62V9 | rub | 1 | 0.01 | +| RU000A102US0 | Талан-Финанс выпуск 2 | BBG00ZNL19P2 | rub | 1 | 0.01 | +| RU000A100XU4 | РЕСО-Лизинг БО-П выпуск 7 | BBG00QN37PX1 | rub | 1 | 0.01 | +| RU000A103F27 | Центральная ППК выпуск 3 | TCS00A103F27 | rub | 1 | 0.01 | +| RU000A1017J5 | Газпром нефть ПАО 003P-02R | BBG00R4XLRN5 | rub | 1 | 0.01 | +| RU000A100A58 | МТС выпуск 8 | BBG00NZHSKP1 | rub | 1 | 0.01 | +| RU000A100HU7 | МТС выпуск 10 | BBG00PN9H616 | rub | 1 | 0.01 | +| RU000A1008V9 | Роснано выпуск 8 | BBG00NTXZ6S3 | rub | 1 | 0.01 | +| RU000A100W29 | Роделен выпуск 2 | BBG00QJ5M7P3 | rub | 1 | 0.01 | +| RU000A0JVUK8 | АФК Система выпуск 1 | BBG00B4MWD80 | rub | 1 | 0.01 | +| RU000A0ZYNY4 | ГТЛК выпуск 7 | BBG00JRTXBC1 | rub | 1 | 0.01 | +| RU000A1051T3 | МТС 001P-22 | TCS00A1051T3 | rub | 1 | 0.01 | +| RU000A103RJ3 | Первое коллекторское бюро 001Р выпуск 2 | BBG012Q8FLM1 | rub | 1 | 0.01 | +| RU000A102DK3 | МаксимаТелеком выпуск 2 | TCS00A102DK3 | rub | 1 | 0.01 | +| RU000A0ZYU05 | РЖД 001Р выпуск 5 | BBG00K2B2M16 | rub | 1 | 0.01 | +| RU000A102CK5 | Russia 2027 EUR | BBG00Y5TNGR6 | eur | 1 | 0.0001 | +| RU000A101RT6 | Казахстан выпуск 5 | BBG011MDB894 | rub | 1 | 0.01 | +| SU29014RMFS6 | ОФЗ 29014 | BBG00VY13C74 | rub | 1 | 0.001 | +| RU000A102CU4 | Сбер Банк 001P-SBER19 | BBG00Y9B45C2 | rub | 1 | 0.01 | +| RU000A1053A9 | Сэтл Групп | TCS00A1053A9 | rub | 1 | 0.01 | +| EGPT0329 | The Arab Republic of Egypt | BBG00NDMW359 | usd | 1 | 0.01 | +| RU000A104WS2 | Whoosh выпуск 1 | TCS00A104WS2 | rub | 1 | 0.01 | +| RU000A0JWST1 | ГТЛК выпуск 8 | BBG00DQFVRK3 | rub | 1 | 0.01 | +| RU000A1030T7 | Москва выпуск 73 | BBG010JBJ976 | rub | 1 | 0.01 | +| XS2010044621 | Sibur | BBG00Q994JS7 | usd | 1 | 0.0001 | +| SU26227RMFS7 | ОФЗ 26227 | BBG00NQBGZX5 | rub | 1 | 0.001 | +| RU000A0ZYJ91 | ФСК ЕЭС БО-4 | BBG00JDS8JM8 | rub | 1 | 0.01 | +| RU000A101HJ8 | Магнит 002Р выпуск 1 | BBG00RVD9KF7 | rub | 1 | 0.01 | +| RU000A102RF3 | ХКФ Банк выпуск 7 | BBG00Z84TTZ2 | rub | 1 | 0.01 | +| RU000A0ZYC98 | МегаФон БО-1 выпуск 3 | BBG00HTR61W7 | rub | 1 | 0.01 | +| RU000A101EF3 | Металлоинвест БО выпуск 4 | BBG00RQ1DXY5 | rub | 1 | 0.01 | +| SU26237RMFS6 | ОФЗ 26237 | BBG011FJ6573 | rub | 1 | 0.001 | +| XS2099763075 | Credit Bank of Moscow | BBG00RHTYB60 | usd | 1 | 0.0001 | +| RU000A102QX8 | Лайфстрим выпуск 1 | BBG00Z95Q9G6 | rub | 1 | 0.01 | +| RU000A0JXN05 | РЖД 001Р выпуск 1 | BBG00GCRTCX7 | rub | 1 | 0.01 | +| RU000A101ST4 | РЕСО-Лизинг БО-П выпуск 3 | BBG00VFJK5W4 | rub | 1 | 0.01 | +| RU000A100WA8 | ЛСР выпуск 4 | BBG00QJ5KYT2 | rub | 1 | 0.01 | +| RU000A101GZ6 | Уралкалий выпуск 6 | TCS00A101GZ6 | rub | 1 | 0.01 | +| RU000A101NJ6 | ЧЗПСН-Профнастил БО-П2 | BBG00TW9WTR3 | rub | 1 | 0.01 | +| RU000A1032X5 | ТЕХНО Лизинг выпуск 4 | BBG0110WZC19 | rub | 1 | 0.01 | +| RU000A0JXPG2 | ГТЛК выпуск 4 | BBG00GGS6C84 | rub | 1 | 0.01 | +| RU000A100303 | Нафтатранс Плюс выпуск 1 | BBG00N8SH448 | rub | 1 | 0.01 | +| RU000A0JWG05 | X5 выпуск 6 | BBG00CSJ8ZX9 | rub | 1 | 0.01 | +| XS1514045886 | Lukoil | BBG00F3406Z2 | usd | 1 | 0.0001 | +| RU000A0ZYA66 | Эталон выпуск 2 | BBG00HNGJ8K1 | rub | 1 | 0.01 | +| RU000A101PV6 | ТД РКС-Сочи выпуск 1 | BBG00V316KF8 | rub | 1 | 0.01 | +| RU000A100AD8 | Россети Московский регион выпуск 1 | BBG00NZJ4J03 | rub | 1 | 0.01 | +| RU000A1043K9 | Нижегородская область выпуск 16 | BBG013PZT8B6 | rub | 1 | 0.01 | +| RU000A103117 | М.Видео выпуск 1 | TCS00A103117 | rub | 1 | 0.01 | +| XS0191754729 | Gazprom | BBG00008WPG3 | usd | 1 | 0.0001 | +| RU000A1002C2 | РЖД 001Р выпуск 12 | BBG00N6MD6M2 | rub | 1 | 0.01 | +| RU000A101YV8 | Позитив Текнолоджиз выпуск 1 | TCS00A101YV8 | rub | 1 | 0.01 | +| RU000A101PU8 | Трансмашхолдинг ПБО-05 | BBG00V3L02Q8 | rub | 1 | 0.01 | +| RU000A102F85 | ЧТПЗ выпуск 6 | BBG00YCZ0M41 | rub | 1 | 0.01 | +| XS1634369224 | Belarus | BBG00GXQKMJ9 | usd | 1 | 0.0001 | +| RU000A103PC2 | Автобан-Финанс выпуск 3 | BBG012JC0J32 | rub | 1 | 0.01 | +| XS2159874002 | Lukoil | BBG00TJF05J0 | usd | 1 | 0.0001 | +| SU26234RMFS3 | ОФЗ 26234 | BBG00VCY76T1 | rub | 1 | 0.001 | +| XS2019822357 | BCS Structured Products 27jun2024 | BBG00PKCLPS6 | usd | 1 | 0.01 | +| RU000A103133 | Новотранс выпуск 2 | TCS00A103133 | rub | 1 | 0.01 | +| RU000A103G75 | Сбер Банк 001P-SBER32 | BBG0122KNFZ0 | rub | 1 | 0.01 | +| XS0971721450 | Russia 2023 | BBG00580HCP7 | usd | 1 | 0.0001 | +| RU000A0JXU48 | ВЭБ.РФ ПБО-001P-08 | BBG00H14B6Z8 | usd | 1 | 0.0001 | +| RU000A101FH6 | МТС выпуск 14 | BBG00RTTRKD7 | rub | 1 | 0.01 | +| SU52003RMFS9 | ОФЗ 52003 | BBG00XD2M5S2 | rub | 1 | 0.001 | +| RU000A103CW8 | МФК Займер выпуск 2 | BBG011QKQ291 | rub | 1 | 0.01 | +| RU000A101S08 | Казахстан выпуск 12 | BBG011MDDKK2 | rub | 1 | 0.01 | +| XS1752568144 | Phosagro | BBG00JRK86V8 | usd | 1 | 0.0001 | +| RU000A1040E8 | Freedom Finance | BBG013J0LT31 | usd | 1 | 0.0001 | +| RU000A102FR3 | Сбербанк | BBG00YHVQ768 | rub | 1 | 0.01 | +| RU000A1017H9 | Автодор БО-2 выпуск 5 | BBG00R7TP2Y0 | rub | 1 | 0.01 | +| RU000A1013C9 | ИС петролеум выпуск 1 | BBG00QZ0M1V2 | rub | 1 | 0.01 | +| RU000A104AX8 | МФК Лайм-Займ выпуск 1 | BBG0147H0889 | rub | 1 | 0.01 | +| RU000A101PJ1 | Магнит выпуск 5 | BBG00V1K0LJ8 | rub | 1 | 0.01 | +| RU000A101S81 | Русал Братск БО-002Р выпуск 1 | TCS00A101S81 | rub | 1 | 0.01 | +| RU000A101P92 | Т.Г. Шевченко выпуск 2 | BBG00V0WL952 | rub | 1 | 0.01 | +| RU000A1013Y3 | Черкизово выпуск 2 | BBG00R05JT04 | rub | 1 | 0.01 | +| RU000A103WB0 | Славянск ЭКО выпуск 1 | BBG01338VXJ4 | rub | 1 | 0.01 | +| RU000A0ZZYP6 | ОбъединениеАгроЭлита выпуск 2 | TCS00A0ZZYP6 | rub | 1 | 0.01 | +| SU26223RMFS6 | ОФЗ 26223 | BBG00K53DJP0 | rub | 1 | 0.001 | +| RU000A101QM3 | Газпром капитал БО-001Р выпуск 3 | BBG00V93CKD3 | rub | 1 | 0.01 | +| RU000A0ZYCZ4 | Республика Карелия выпуск 18 | BBG00HZ418L3 | rub | 1 | 0.01 | +| SU29007RMFS0 | ОФЗ 29007 | BBG007Z5DF79 | rub | 1 | 0.001 | +| RU000A1005L6 | АФК Система выпуск 9 | BBG00NHLC0N5 | rub | 1 | 0.01 | +| RU000A100XP4 | Московская область выпуск 12 | BBG00QKPP373 | rub | 1 | 0.01 | +| RU000A102LW1 | Асфальтобетонный завод № 1 выпуск 1 | BBG00YS45GT4 | rub | 1 | 0.01 | +| RU000A0ZYGM3 | Орловская область 2017 | BBG00JC8FQL0 | rub | 1 | 0.01 | +| ISSUANCERESO | РЕСО-Лизинг БО-П выпуск 03 | ISSUANCERESO | rub | 1 | 0 | +| RU000A100TF3 | Русал Братск БО-001Р выпуск 3 | BBG00Q9BCQ70 | rub | 1 | 0.01 | +| RU000A103UY6 | Калита выпуск 3 | BBG012XXXX33 | rub | 1 | 0.01 | +| SU26220RMFS2 | ОФЗ 26220 | BBG00FX0RDF5 | rub | 1 | 0.001 | +| RU000A102AB8 | Завод КриалЭнергоСтрой выпуск 2 | BBG00Y1Q22N4 | rub | 1 | 0.01 | +| RU000A0JWHN7 | Ярославская область выпуск 14 | BBG00CXHTFY7 | rub | 1 | 0.01 | +| RU000A1018C8 | Трансмашхолдинг ПБО-04 | BBG00R6WV4J0 | rub | 1 | 0.01 | +| RU000A102HB3 | Роснано БО-002P выпуск 5 | BBG00YJKKTF8 | rub | 1 | 0.01 | +| RU000A103125 | ДОМ.РФ ИА БО-001Р-07 | TCS00A103125 | rub | 1 | 0.01 | +| RU000A100YP2 | Т.Г. Шевченко выпуск 1 | BBG000000005 | rub | 1 | 0.01 | +| RU000A0JUMH3 | Газпромбанк | BBG006JCSQ92 | rub | 1 | 0.01 | +| RU000A0ZYWY5 | МТС выпуск 6 | BBG00K64TZR2 | rub | 1 | 0.01 | +| RU000A101RW0 | Казахстан выпуск 8 | BBG011MDBQV9 | rub | 1 | 0.01 | +| RU000A102ZS9 | ЭБИС выпуск 4 | BBG01016PHF2 | rub | 1 | 0.01 | +| RU000A0JXQ28 | ФПК выпуск 1 | BBG00GH62KJ5 | rub | 1 | 0.01 | +| RU000A102CZ3 | Онлайн Микрофинанс выпуск 2 | BBG00Y8XPNY9 | rub | 1 | 0.01 | +| RU000A1042W6 | ВЭБ.РФ ПБО-2 выпуск 31 | TCS00A1042W6 | rub | 1 | 0.01 | +| RU000A0JVWJ6 | ГТЛК выпуск 6 | BBG00B8SX525 | rub | 1 | 0.01 | +| RU000A1015E0 | Белуга Групп БО-П03 | BBG00R2FH979 | rub | 1 | 0.01 | +| RU000A101MC3 | Магнит 002Р выпуск 2 | BBG00TJW91Z5 | rub | 1 | 0.01 | +| RU000A0JTM28 | Башнефть выпуск 6 | BBG0043FH1D9 | rub | 1 | 0.01 | +| SU26212RMFS9 | ОФЗ 26212 | BBG00425VG07 | rub | 1 | 0.001 | +| RU000A1015S0 | ЭнергоТехСервис выпуск 1 | BBG000000008 | rub | 1 | 0.01 | +| RU000A0JT940 | Роснефть выпуск 4 | BBG003LLR9S4 | rub | 1 | 0.01 | +| RU000A102A07 | Альфа-Банк 002Р выпуск 8 | BBG00Y1BKK93 | rub | 1 | 0.01 | +| XS1533915721 | Evraz | BBG00G4V94J3 | usd | 1 | 0.0001 | +| XS0921331509 | MTS International Funding | BBG004M1PTN8 | usd | 1 | 0.0001 | +| SU29008RMFS8 | ОФЗ 29008 | BBG007Z5DZS2 | rub | 1 | 0.001 | +| RU000A101012 | АФК Система выпуск 12 | BBG00QTDV828 | rub | 1 | 0.01 | +| RU000A101HU5 | Брусника выпуск 1 | RU000A101HU5 | rub | 1 | 0.01 | +| RU000A101178 | АПРИ Флай Плэнинг БО-П3 | BBG00QXGQYZ9 | rub | 1 | 0.01 | +| RU000A102JZ8 | Альфа-Банк 002Р выпуск 9 | BBG00YMT3ZH8 | rub | 1 | 0.01 | +| RU000A100UU0 | РН Банк БО-1P выпуск 6 | BBG00QDF85H6 | rub | 1 | 0.01 | +| RU000A1029P7 | ЭР-Телеком Холдинг выпуск 4 | TCS00A1029P7 | rub | 1 | 0.01 | +| RU000A101WB4 | ЧТПЗ выпуск 5 | BBG00W1P2G59 | rub | 1 | 0.01 | +| RU000A100VG7 | СУЭК-Финанс выпуск 3 | BBG00QFLCT66 | rub | 1 | 0.01 | +| RU000A100PB0 | ЖКХ Якутии выпуск 1 | BBGYAKUTV001 | rub | 1 | 0.01 | +| RU000A103FP5 | МКБ 001Р выпуск 3 | BBG011Y7LMW6 | rub | 1 | 0.01 | +| RU000A0ZYFC6 | МТС выпуск 3 | BBG00J3MJ9F0 | rub | 1 | 0.01 | +| RU000A101SM9 | Камаз | BBG00VDF8F10 | rub | 1 | 0.01 | +| RU000A0JXFS8 | Газпром капитал выпуск 5 | BBG00FZMB3Y3 | rub | 1 | 0.01 | +| RU000A0JXN21 | АФК Система выпуск 6 | BBG00GF6BJZ2 | rub | 1 | 0.01 | +| RU000A1037S4 | С-Инновации выпуск 2 | BBG011CFWBP2 | rub | 1 | 0.01 | +| RU000A0ZZBV2 | Европлан БО 08 | BBG00L9H7QZ3 | rub | 1 | 0.01 | +| RU000A0JX5W4 | Альфа-Банк выпуск 18 | BBG00FRWYRH1 | rub | 1 | 0.01 | +| RU000A102T55 | МФК ЦФП выпуск 1 | BBG00ZHYDZW2 | rub | 1 | 0.01 | +| RU000A0JTM44 | Башнефть выпуск 8 | BBG00445QP01 | rub | 1 | 0.01 | +| RU000A103KJ8 | Европлан 001Р-03 | TCS00A103KJ8 | rub | 1 | 0.01 | +| RU000A103S14 | Европлан 001Р-04 | TCS00A103S14 | rub | 1 | 0.01 | +| XS1964558339 | Credit Bank of Moscow | BBG00NN90XV7 | usd | 1 | 0.0001 | +| RU000A0ZZ1H2 | ОГК-2 выпуск 3 | BBG00KHD7983 | rub | 1 | 0.01 | +| RU000A104L36 | Тойота Банк выпуск 5 | TCS00A104L36 | rub | 1 | 0.01 | +| RU000A1032D7 | Маныч-Агро выпуск 1 | TCS00A1032D7 | rub | 1 | 0.01 | +| RU000A100CG7 | ОбъединениеАгроЭлита выпуск 3 | BBG00PVT6KR6 | rub | 1 | 0.01 | +| RU000A104SY8 | РЖД | TCS00A104SY8 | rub | 1 | 0.01 | +| XS0893212398 | VEB | BBG0044FD516 | eur | 1 | 0.0001 | +| RU000A1002E8 | Газпромбанк | BBG00N84M5Z8 | rub | 1 | 0.01 | +| RU000A0ZZ9W4 | Уралкалий выпуск 4 | BBG00L4CT0Z2 | rub | 1 | 0.01 | +| RU000A104FX7 | А Девелопмент | BBG014VTFQJ8 | rub | 1 | 0.01 | +| RU000A103WQ8 | Сэтл Групп выпуск 4 | TCS00A103WQ8 | rub | 1 | 0.01 | +| RU000A1032P1 | СФО ВТБ РКС-1 выпуск 1 | BBG011DV0155 | rub | 1 | 0.01 | +| RU000A100MG6 | Сэтл Групп выпуск 2 | BBG00PT0ZT82 | rub | 1 | 0.01 | +| RU000A0JVA10 | ГТЛК БО-04 | BBG0089PCRC1 | rub | 1 | 0.01 | +| RU000A100YW8 | Тойота Банк выпуск 3 | BBG00QPHPRQ2 | rub | 1 | 0.01 | +| RU000A1035D0 | Синара - Транспортные Машины выпуск 1 | TCS00A1035D0 | rub | 1 | 0.01 | +| RU000A0JWXF0 | Красноярский край выпуск 12 | BBG00F171QY3 | rub | 1 | 0.01 | +| VTBperp | VTB Perp | BBG003824NB3 | usd | 1 | 0.01 | +| RU000A0ZZ8X4 | Краснодарский край выпуск 2 | BBG00L2L5GP6 | rub | 1 | 0.01 | +| RU000A1052T1 | Делимобиль выпуск 1 | TCS00A1052T1 | rub | 1 | 0.01 | +| XS1961080501 | EuroChem | BBG00NJHVPW6 | usd | 1 | 0.0001 | +| RU000A103G00 | Синара - Транспортные Машины выпуск 2 | BBG011YQCC65 | rub | 1 | 0.01 | +| RU000A102TR4 | Ритейл Бел Финанс 001P-02 | TCS00A102TR4 | rub | 1 | 0.01 | +| RU000A0ZZV86 | ДОМ.РФ ИА 006P | BBG00MMJ90B3 | rub | 1 | 0.01 | +| RU000A1009Z8 | О'КЕЙ выпуск 2 | BBG00NZHNQH2 | rub | 1 | 0.01 | +| RU000A1003A4 | ГТЛК выпуск 13 | BBG00N9Q06D4 | rub | 1 | 0.01 | +| RU000A101QA8 | ИКС 5 Финанс выпуск 11 | BBG00V4SVMN7 | rub | 1 | 0.01 | +| CBOM0224EU | Credit Bank of Moscow | BBG00N8HZBK8 | eur | 1 | 0.01 | +| RU000A104WJ1 | МТС выпуск 21 | TCS00A104WJ1 | rub | 1 | 0.01 | +| RU000A103QH9 | Эталон-Финанс выпуск 3 | TCS00A103QH9 | rub | 1 | 0.01 | +| RU000A102Y66 | Легенда выпуск 4 | TCS00A102Y66 | rub | 1 | 0.01 | +| RU000A0ZYU39 | Эталон-Финанс выпуск 2 | BBG00K1Y24S8 | rub | 1 | 0.01 | +| RU000A101UD4 | Электрощит-Стройсистема выпуск 2 | BBG00VSYBL16 | rub | 1 | 0.01 | +| RU000A102SK1 | Боржоми выпуск 1 | BBG00ZGVRGJ1 | rub | 1 | 0.01 | +| RU000A101R33 | Лента БО-001P выпуск 4 | BBG00V92S1V0 | rub | 1 | 0.01 | +| RU000A104Z71 | Биннофарм Групп | TCS00A104Z71 | rub | 1 | 0.01 | +| RU000A102VK5 | ВИС Финанс выпуск 2 | TCS00A102VK5 | rub | 1 | 0.01 | +| RU000A1029F8 | Лизинг-Трейд выпуск 2 | BBG00XZ93N78 | rub | 1 | 0.01 | +| XS1843443273 | Evraz | BBG00NQ976S0 | usd | 1 | 0.0001 | +| RU000A104UA4 | Сегежа | TCS00A104UA4 | rub | 1 | 0.01 | +| RU000A1037C8 | Урожай выпуск 2 | BBG011C669D9 | rub | 1 | 0.01 | +| RU000A1016F5 | ГК Пионер-001P выпуск 4 | BBG00R4C49T4 | rub | 1 | 0.01 | +| RU000A104V26 | РЕСО-Лизинг | TCS00A104V26 | rub | 1 | 0.01 | +| RU000A101SD8 | ГТЛК выпуск 19 | BBG00VDF2563 | rub | 1 | 0.01 | +| RU000A101Q26 | АФК Система выпуск 13 | BBG00V3L30M3 | rub | 1 | 0.01 | +| RU000A101DU4 | Вита Лайн выпуск 1 | BBG00RP6D594 | rub | 1 | 0.01 | +| RU000A103RT2 | Экспобанк 001Р-01 | TCS00A103RT2 | rub | 1 | 0.01 | +| XS2131995958 | GTLK | BBG00S4VCXS9 | usd | 1 | 0.0001 | +| RU000A0JXLR8 | Банк Открытие БО-П выпуск 03 | BBG00G9GSYG7 | rub | 1 | 0.01 | +| RU000A102QY6 | ТФН выпуск 1 | BBG00Z8KBL73 | rub | 1 | 0.01 | +| RU000A0ZYEE5 | ГПБ (АО) БО-17 | BBG00J3T6HB5 | rub | 1 | 0.01 | +| RU000A102DR8 | Омская область выпуск 4 | BBG00YC4R9B2 | rub | 1 | 0.01 | +| RU000A102M86 | Всеинструменты.ру выпуск 3 | TCS00A102M86 | rub | 1 | 0.01 | +| SU26207RMFS9 | ОФЗ 26207 | BBG002PD3452 | rub | 1 | 0.001 | +| RU000A103M36 | ТрансФин-М 001Р-07 | BBG012C34FX0 | rub | 1 | 0.01 | +| RU000A101SC0 | ГТЛК выпуск 18 | BBG00VDF68J9 | rub | 1 | 0.01 | +| RU000A1040V2 | Охта Групп выпуск 2 | TCS00A1040V2 | rub | 1 | 0.01 | +| RU000A1022G1 | Бизнес-Недвижимость выпуск 1 | BBG00X0V9H83 | rub | 1 | 0.01 | +| SU26221RMFS0 | ОФЗ 26221 | BBG00G6V7252 | rub | 1 | 0.001 | +| RU000A0ZYM21 | Домодедово выпуск 1 | BBG00JGF4LC3 | rub | 1 | 0.01 | +| RU000A103HT3 | М.Видео выпуск 2 | BBG01237K1S0 | rub | 1 | 0.01 | +| RU000A102RU2 | Европлан 001Р-01 | TCS00A102RU2 | rub | 1 | 0.01 | +| RU000A104CJ3 | Автодом выпуск 1 | TCS00A104CJ3 | rub | 1 | 0.01 | +| RU000A1026H0 | Гидромашсервис БО выпуск 3 | ISSUANCEHYDR | rub | 1 | 0.01 | +| SU29006RMFS2 | ОФЗ 29006 | BBG007Z13SN3 | rub | 1 | 0.001 | +| RU000A102RS6 | Сбер Банк 001P-SBER24 | BBG00ZZ927H8 | rub | 1 | 0.01 | +| SU26233RMFS5 | ОФЗ 26233 | BBG00RRT3V69 | rub | 1 | 0.001 | +| SU26240RMFS0 | ОФЗ 26240 | BBG011MLGP84 | rub | 1 | 0.001 | +| RU000A100HH4 | Газпромбанк 001P выпуск 11 | BBG00PMK99X0 | rub | 1 | 0.01 | +| RU000A1030N0 | ФЭС-Агро выпуск 2 | BBG0107RVMG1 | rub | 1 | 0.01 | +| RU000A101KJ2 | Калита выпуск 1 | BBG00SY31CX0 | rub | 1 | 0.01 | +| SU26238RMFS4 | ОФЗ 26238 | BBG011FJ4HS6 | rub | 1 | 0.001 | +| RU000A0ZYFB8 | Красноярский край выпуск 14 | BBG00J5KYZN8 | rub | 1 | 0.01 | +| XS0864383723 | Novatek | BBG003PNSC99 | usd | 1 | 0.0001 | +| RU000A103D37 | Тинькофф Ипотечный Агент выпуск 1 | TCS00A103D37 | rub | 1 | 0.01 | +| XS2124187571 | Gazprom | BBG00RRSRHF6 | usd | 1 | 0.0001 | +| RU000A104JV3 | Айди Коллект выпуск 2 | TCS00A104JV3 | rub | 1 | 0.01 | +| RU000A100YR8 | Роснано БО-002P выпуск 3 | BBG00QPRTZJ6 | rub | 1 | 0.01 | +| RU000A101FY1 | МОЭСК 001P выпуск 2 | BBG00RVF4P66 | rub | 1 | 0.01 | +| SU26228RMFS5 | ОФЗ 26228 | BBG00NZHWSQ8 | rub | 1 | 0.001 | +| RU000A100X77 | Кредит Европа Банк выпуск 3 | BBG00QKHL1Q8 | rub | 1 | 0.01 | +| RU000A1034P7 | ВТБ СУБ выпуск 5 | BBG01172JM41 | rub | 1 | 0.01 | +| XS1589324075 | GMK NorNickel | BBG00GCZK5M5 | usd | 1 | 0.0001 | +| RU000A1011Q3 | Новосибирская область | BBG00QXSLFN2 | rub | 1 | 0.01 | +| RU000A103QJ5 | МФК Займер выпуск 3 | BBG012NJPWN4 | rub | 1 | 0.01 | +| TRY1028 | Republic of Turkey | BBG00KMWBXK3 | usd | 1 | 0.01 | +| RU000A1030S9 | Москва выпуск 72 | BBG010GVNPK9 | rub | 1 | 0.01 | +| RU000A0ZZVE6 | Russia 2025 EUR | BBG00MNX53Q3 | eur | 1 | 0.0001 | +| RU000A100L63 | Белуга Групп БО-П02 | BBG00PYL6030 | rub | 1 | 0.01 | +| RU000A101S99 | Кировский завод выпуск 1 | BBG00VCVRQQ4 | rub | 1 | 0.01 | +| RU000A102F28 | РОСБАНК БО-002P выпуск 8 | BBG00YCM0MW9 | rub | 1 | 0.01 | +| RU000A1053P7 | Сегежа 002P выпуск 5 | TCS00A1053P7 | rub | 1 | 0.01 | +| RU000A101MT7 | Детский мир выпуск 6 | BBG00TQG4212 | rub | 1 | 0.01 | +| RU000A100D89 | Республика Беларусь выпуск 7 | BBG00TQHNK64 | rub | 1 | 0.01 | +| RU000A1001L5 | ЮАИЗ выпуск 1 | BBG00N58ZYV9 | rub | 1 | 0.01 | +| RU000A100WC4 | МКБ 001P выпуск 1 | BBG00QHSP5W8 | rub | 1 | 0.01 | +| RU000A101XN7 | АФК Система выпуск 14 | BBG00WCMMJ92 | rub | 1 | 0.01 | +| RU000A101QF7 | Ритейл Бел Финанс 001P-01 | BBG00V92X4F6 | rub | 1 | 0.01 | +| RU000A1034X1 | Лизинг трейд выпуск 3 | BBG00A1034X1 | rub | 1 | 0.01 | +| RU000A0ZYHX8 | Санкт-Петербург выпуск 1 | BBG00JCTFXS2 | rub | 1 | 0.01 | +| RU000A105104 | РУСАЛ выпуск 5 | TCS00A105104 | cny | 1 | 0.0001 | +| RU000A0JWV63 | Россельхозбанк 08Т1 | BBG00DYFTK31 | rub | 1 | 0.01 | +| RU000A103SZ7 | Аэрофьюэлз выпуск 2 | BBG012R5Y2V7 | rub | 1 | 0.01 | +| RU000A1024W4 | Черкизово выпуск БО-001P-03 | BBG00XH3GY82 | rub | 1 | 0.01 | +| RU000A101TS4 | Джи-групп выпуск 1 | BBG00VQNQ8P9 | rub | 1 | 0.01 | +| RU000A1045V1 | ЭБИС выпуск 5 | BBG013VR70Y3 | rub | 1 | 0.01 | +| RU000A104AQ2 | ДОМ.РФ Социальные облигации 02 | TCS00A104AQ2 | rub | 1 | 0.01 | +| RU000A102H83 | Ренессанс Кредит выпуск 4 | BBG00YJKHN65 | rub | 1 | 0.01 | +| RU000A102GY7 | Хэдхантер выпуск 1 | TCS00A102GY7 | rub | 1 | 0.01 | +| RU000A0ZYVU5 | ПАО НК Роснефть 002P-05 | BBG00K7QTXX0 | rub | 1 | 0.01 | +| RU000A103DP0 | КАМАЗ БО-П08 | BBG011R5YX14 | rub | 1 | 0.01 | +| RU000A102VL3 | МТС выпуск 18 | TCS00A102VL3 | rub | 1 | 0.01 | +| RU000A103RL9 | Петроинжиниринг выпуск 1 | BBG012SMKJQ3 | rub | 1 | 0.01 | +| RU000A1030D1 | Альфа-Банк 002Р выпуск 11 | BBG0105J8GV3 | rub | 1 | 0.01 | +| XS1843434959 | MMK | BBG00PC6QBX8 | usd | 1 | 0.0001 | +| RU000A0JUAG0 | РСГ-Финанс выпуск 1 | BBG005K570Y9 | rub | 1 | 0.01 | +| RU000A1006C3 | Пионер-Лизинг-БО-П02 | BBG00NLMHM55 | rub | 1 | 0.01 | +| RU000A1034M4 | Всеинструменты.ру выпуск 4 | BBG0116QGN40 | rub | 1 | 0.01 | +| RU000A1018X4 | Магнит 003Р выпуск 5 | BBG00R7TPVR4 | rub | 1 | 0.01 | +| RU000A101H43 | ГК Самолет выпуск 8 | TCS00A101H43 | rub | 1 | 0.01 | +| RU000A100NS9 | РЕСО-Лизинг БО-П выпуск 5 | BBG012CQ0V68 | rub | 1 | 0.01 | +| RU000A1034T9 | МТС Банк выпуск 1 | BBG00A1034T9 | rub | 1 | 0.01 | +| SU52002RMFS1 | ОФЗ 52002 | BBG00KFLDC92 | rub | 1 | 0.001 | +| RU000A102SC8 | ТМК 001Р выпуск 2 | BBG00ZDZD5C1 | rub | 1 | 0.01 | +| RU000A101CB6 | Лизинг-Трейд выпуск 1 | BBG00RJSK9S6 | rub | 1 | 0.01 | +| RU000A100DG5 | Европлан БО 06 | BBG00PC4M4X3 | rub | 1 | 0.01 | +| RU000A103H25 | НПО Химтэк выпуск 1 | BBG0121GPL12 | rub | 1 | 0.01 | +| RU000A100G03 | Буровая компания Евразия выпуск 3 | BBG00PGSFB22 | rub | 1 | 0.01 | +| RU000A101TR6 | ЭнергоТехСервис выпуск 2 | BBG00VP0CN81 | rub | 1 | 0.01 | +| RU000A100YD8 | Нафтатранс Плюс выпуск 2 | BBG00QPGLLB7 | rub | 1 | 0.01 | +| RU000A103RS4 | Альфа-Банк 002Р выпуск 14 | BBG012QS03Q9 | rub | 1 | 0.01 | +| RU000A1038D4 | Трансмашхолдинг ПБО-06 | TCS00A1038D4 | rub | 1 | 0.01 | +| RU000A101C89 | Сбер Банк 001P-SBER15 | BBG00RKBQ4D2 | rub | 1 | 0.01 | +| RU000A105054 | ММЦБ выпуск 2 | TCS00A105054 | rub | 1 | 0.01 | +| GMKN1022 | MMC Finance DAC | BBG00B59DR33 | usd | 1 | 0.01 | +| SU26226RMFS9 | ОФЗ 26226 | BBG00N8J90K7 | rub | 1 | 0.001 | +| RU000A103C95 | АФК Система выпуск 21 | TCS00A103C95 | rub | 1 | 0.01 | +| RU000A0JXSD3 | Волгоградская область выпуск 7 | BBG00GSNVXC3 | rub | 1 | 0.01 | +| RU000A104ZC9 | КАМАЗ | TCS00A104ZC9 | rub | 1 | 0.01 | +| RU000A1030U5 | ЭкономЛизинг выпуск 3 | BBG0109ZMRP0 | rub | 1 | 0.01 | +| RU000A104FG2 | Сегежа 002P выпуск 3 | TCS00A104FG2 | rub | 1 | 0.01 | +| RU000A0JXYS9 | Краснодарский край выпуск 1 | BBG00HDD93V9 | rub | 1 | 0.01 | +| RU000A1054W1 | Полюс CNY 01 | TCS00A1054W1 | cny | 1 | 0.0001 | +| SU46022RMFS8 | ОФЗ 46022 | BBG0000LFC18 | rub | 1 | 0.001 | +| RU000A102NK2 | Обувь России 001P выпуск 4 | BBG00YZ2MHK8 | rub | 1 | 0.01 | +| RU000A0ZZGT5 | РЖД 001Р выпуск 8 | BBG00LPNW7Y7 | rub | 1 | 0.01 | +| RU000A100HY9 | РЖД 001Р выпуск 16 | BBG00PV1JCS0 | rub | 1 | 0.01 | +| XS2010044381 | GTLK | BBG00QDT3B79 | usd | 1 | 0.0001 | +| RU000A102JB9 | ДОМ.РФ ИА 09 | TCS00A102JB9 | rub | 1 | 0.01 | +| RU000A0ZYJT2 | ДОМ.РФ ИА 002P | BBG00JGG2N11 | rub | 1 | 0.01 | +| TRY0141 | Turkey | BBG001CYCG37 | usd | 1 | 0.01 | +| RU000A100ZK0 | МТС выпуск 12 | BBG00QS35B41 | rub | 1 | 0.01 | +| RU000A103XP8 | Ferroni выпуск 1 | BBG01391D0C2 | rub | 1 | 0.01 | +| RU000A101S16 | Казахстан выпуск 13 | BBG011MDDX15 | rub | 1 | 0.01 | +| RU000A100RG5 | ЕвроХим выпуск 6 | BBG00Q3G7Y38 | rub | 1 | 0.01 | +| RU000A101QN1 | Газпром Капитал | BBG00V93GCX5 | rub | 1 | 0.01 | +| XS1577961516 | GTLK | BBG00GQJ3PG8 | usd | 1 | 0.0001 | +| RU000A101350 | Газпромбанк 001P выпуск 14 | BBG00QYTBB95 | rub | 1 | 0.01 | +| RU000A102HG2 | Охта Групп выпуск 1 | BBG00YPFNJR8 | rub | 1 | 0.01 | +| RU000A0ZZES2 | Газпром БО-22 | BBG00LLM12G8 | rub | 1 | 0.01 | +| RU000A1008J4 | АФК Система выпуск 10 | BBG00NRGHQQ0 | rub | 1 | 0.01 | +| RU000A1015A8 | Детский мир выпуск 5 | BBG00R2FKDT2 | rub | 1 | 0.01 | +| XS1713473608 | GTLK | BBG00NV9NH48 | usd | 1 | 0.0001 | +| RU000A1018K1 | Татнефть БО-001P выпуск 1 | BBG00R72VWS3 | rub | 1 | 0.01 | +| RU000A100FE5 | ГТЛК выпуск 14 | BBG00PGVLT83 | rub | 1 | 0.01 | +| RU000A103NZ8 | Совкомбанк БО-П4 | BBG012G2PXW7 | rub | 1 | 0.01 | +| XS0767473852 | Russia 2042 | BBG002V2YQY4 | usd | 1 | 0.0001 | +| RU000A0ZZ1F6 | КарМани БО выпуск 2 | BBG00KHGQP89 | rub | 1 | 0.01 | +| RU000A1018A2 | Томск выпуск 7 | BBG00R7TNJ39 | rub | 1 | 0.01 | +| RU000A101RJ7 | МБЭС выпуск 2 | BBG00VHHC305 | rub | 1 | 0.01 | +| XS0316524130 | Gazprom | BBG0000JWX54 | usd | 1 | 0.0001 | +| RU000A104A39 | ИНК-Капитал выпуск 1 | TCS00A104A39 | rub | 1 | 0.01 | +| RU000A102Y58 | Брусника выпуск 2 | BBG00ZX8S6G7 | rub | 1 | 0.01 | +| RU000A1008W7 | Северсталь выпуск 6 | BBG00NTZTZ47 | rub | 1 | 0.01 | +| RU000A0JXME4 | ЧТПЗ выпуск 3 | BBG00GB81W02 | rub | 1 | 0.01 | +| RU000A0ZYU21 | Альфа-Банк выпуск 40 | BBG00K4MPZ61 | rub | 1 | 0.01 | +| RU000A102WL1 | Экспобанк БО выпуск 3 | TCS00A102WL1 | rub | 1 | 0.01 | +| RU000A102952 | ВИС Финанс выпуск 1 | BBG00XYH8FH2 | rub | 1 | 0.01 | +| RU000A0ZYEB1 | ТрансФин-М 001Р выпуск 4 | BBG00HYXLFQ7 | rub | 1 | 0.01 | +| PLZL0223 | Polyus | BBG00FWXCM88 | usd | 1 | 0.01 | +| RU000A100JH0 | Ритейл Бел Финанс выпуск 1 | BBG00PNW0B21 | rub | 1 | 0.01 | +| RU000A103N43 | ДОМ.РФ ИА БО выпуск 9 | TCS00A103N43 | rub | 1 | 0.01 | +| RU000A100782 | Лента БО-001P выпуск 2 | BBG00NNMVRW6 | rub | 1 | 0.01 | +| RU000A102895 | Новосибирская область выпуск 21 | BBG00XX7H140 | rub | 1 | 0.01 | +| RU000A101939 | МТС выпуск 13 | BBG00R7THC95 | rub | 1 | 0.01 | +| RU000A100YG1 | ГК Самолет выпуск 7 | BBG00QPG1GD8 | rub | 1 | 0.01 | +| RU000A103Q08 | HENDERSON выпуск 1 | TCS00A103Q08 | rub | 1 | 0.01 | +| RU000A104V75 | Почта России | TCS00A104V75 | rub | 1 | 0.01 | +| XS1878009866 | BCS Structured Products 20jun2023 | TCS878009866 | usd | 1 | 0.0001 | +| RU000A102SM7 | СДЭК-Глобал выпуск 1 | BBG00ZLH4MW3 | rub | 1 | 0.01 | +| RU000A100W60 | Европлан БО 03 | BBGHUYNYA0X4 | rub | 1 | 0.01 | +| SU26215RMFS2 | ОФЗ 26215 | BBG0058ZL5S7 | rub | 1 | 0.001 | +| RU000A103KG4 | Сбербанк выпуск SbD1R | BBG0131NQLG8 | rub | 1 | 0.01 | +| RU000A102RN7 | Ренессанс Кредит выпуск 6 | TCS00A102RN7 | rub | 1 | 0.01 | +| RU000A103M10 | Балтийский лизинг БО-П04 | BBG012BTL6Y4 | rub | 1 | 0.01 | +| RZD0527 | Russian Railways | BBG00P5B0SC9 | eur | 1 | 0.01 | +| RU000A1021B4 | Обувь России 001P выпуск 3 | BBG00WS5KGV5 | rub | 1 | 0.01 | +| RU000A102234 | ТЕХНО Лизинг выпуск 3 | BBG00WYH0LS7 | rub | 1 | 0.01 | +| RU000A103QL1 | Росагролизинг выпуск 3 | BBG012NW2KW6 | rub | 1 | 0.01 | +| RU000A1014S3 | Новотранс выпуск 1 | BBG00R2HQKS7 | rub | 1 | 0.01 | +| RU000A102986 | СУЭК-Финанс выпуск 6 | BBG00XZ95JN7 | rub | 1 | 0.01 | +| RU000A101YD6 | Легенда выпуск 3 | BBG00WH3QVR8 | rub | 1 | 0.01 | +| TTEL0225 | Turk Telekomunikasyon A.S. | BBG00NBJSLV4 | usd | 1 | 0.01 | +| RU000A0ZYDS7 | Газпром нефть ПАО 001P-03R | BBG00J1Z0ZM7 | rub | 1 | 0.01 | +| GAZP1124 | Gazprom | BBG00J7PCW56 | eur | 1 | 0.01 | +| RU000A100238 | МТС выпуск 7 | BBG00N6FS8J1 | rub | 1 | 0.01 | +| RU000A103372 | АФК Система выпуск 20 | BBG0110X9D23 | rub | 1 | 0.01 | +| RU000A104XR2 | Автодор БО-3 выпуск 2 | TCS00A104XR2 | rub | 1 | 0.01 | +| SU26229RMFS3 | ОФЗ 26229 | BBG00PBZNT41 | rub | 1 | 0.001 | +| SU26211RMFS1 | ОФЗ 26211 | BBG003TTSBB1 | rub | 1 | 0.001 | +| SU26239RMFS2 | ОФЗ 26239 | BBG011FHF1F7 | rub | 1 | 0.001 | +| RU000A0ZZYL5 | Калужская СК выпуск 1 | BBG00MTS7DY5 | rub | 1 | 0.01 | +| RU000A102S80 | Альфа-Банк 002Р выпуск 10 | BBG00ZCTLKQ9 | rub | 1 | 0.01 | +| RU000A103JR3 | Джи-групп выпуск 2 | BBG0124VD0W1 | rub | 1 | 0.01 | +| RU000A0ZYDH0 | ФСК ЕЭС БО-3 | BBG00HY74TD7 | rub | 1 | 0.01 | +| RU000A103GL2 | МФК ЦФП выпуск 2 | BBG0120X4T49 | rub | 1 | 0.01 | +| RU000A1020W2 | Светофор Групп выпуск 2 | BBG00WMMMHJ4 | rub | 1 | 0.01 | +| RU000A101XS6 | МОЭК выпуск 4 | BBG00WFCV2B5 | rub | 1 | 0.01 | +| RU000A102101 | ЭБИС выпуск 3 | BBG00WPJ81Z1 | rub | 1 | 0.01 | +| RU000A1030X9 | Сэтл Групп выпуск 3 | TCS00A1030X9 | rub | 1 | 0.01 | +| VAKI0324 | Vakifbank | BBG00NPGTY64 | usd | 1 | 0.01 | +| RU000A1011C3 | Русал Братск БО-001Р выпуск 4 | BBG00QXGPWQ4 | rub | 1 | 0.01 | +| RU000A1030Y7 | РН Банк БО-1P выпуск 8 | BBG0107GHR16 | rub | 1 | 0.01 | +| XS0971721963 | Russia 2043 | BBG00580HD20 | usd | 1 | 0.0001 | +| RU000A0ZYCM2 | Красноярский край выпуск 13 | BBG00HVY2MS2 | rub | 1 | 0.01 | +| RU000A100LV7 | ЕвроХим выпуск 5 | BBG00PSN47C0 | rub | 1 | 0.01 | +| RU000A0ZYCD1 | Курская область выпуск 1 | BBG00HT45YG5 | rub | 1 | 0.01 | +| RU000A100LS3 | ЕвроХим выпуск 4 | BBG00PV1MX64 | rub | 1 | 0.01 | +| RU000A101FG8 | Ростелеком 002P выпуск 2 | BBG00RT7J0J2 | rub | 1 | 0.01 | +| RU000A100N12 | АФК Система выпуск 11 | BBG00PVL2PM1 | rub | 1 | 0.01 | +| RU000A104JQ3 | Самолет БО-П11 | BBG015CD9YL8 | rub | 1 | 0.01 | +| OMA0148 | Sultanate of Oman | BBG00JQC5C47 | usd | 1 | 0.01 | +| SU26232RMFS7 | ОФЗ 26232 | BBG00R0Z4YW8 | rub | 1 | 0.001 | +| RU000A104693 | АФК Система выпуск 23 | TCS00A104693 | rub | 1 | 0.01 | +| RU000A102556 | СЭЗ им. Серго Орджоникидзе выпуск 2 | BBG00XJF7FL9 | rub | 1 | 0.01 | +| RU000A102J57 | Теплоэнерго выпуск 1 | BBG00YLQVM01 | rub | 1 | 0.01 | +| RU000A0ZYWU3 | АФК Система выпуск 8 | BBG00K4MR057 | rub | 1 | 0.01 | +| RU000A102KG6 | ГК Пионер-001Р выпуск 5 | BBG00YN4P9Q6 | rub | 1 | 0.01 | +| RU000A0ZYAQ7 | КарМани БО выпуск 1 | BBG00HS78YK1 | rub | 1 | 0.01 | +| RU000A102TA0 | Росагролизинг выпуск 2 | BBG00ZHZ4Q86 | rub | 1 | 0.01 | +| RU000A102QP4 | РЖД 001Р выпуск 21 | BBG00Z6BQMY7 | rub | 1 | 0.01 | +| RU000A102T63 | ЛСР выпуск 6 | RU000A102T63 | rub | 1 | 0.01 | +| RU000A101970 | Всеинструменты.ру выпуск 2 | BBG00R83FV73 | rub | 1 | 0.01 | +| RU000A100YE6 | ТрансКонтейнер ПБО выпуск 1 | BBG00QPG0TF9 | rub | 1 | 0.01 | +| XS2384475930 | Credit Bank of Moscow | BBG012G07QT0 | usd | 1 | 0.0001 | +| RU000A103NY1 | РН Банк БО-1P выпуск 9 | BBG012G2MQN5 | rub | 1 | 0.01 | +| XS0997544860 | Gazpromneft | BBG005MCTC09 | usd | 1 | 0.0001 | +| RU000A103YM3 | Сбер Банк 002P выпуск 1 | BBG013J0F816 | rub | 1 | 0.01 | +| RU000A100PE4 | РЕСО-Лизинг БО-П выпуск 6 | BBG00PXMNQ97 | rub | 1 | 0.01 | +| RU000A103828 | ЭнергоТехСервис выпуск 4 | TCS00A103828 | rub | 1 | 0.01 | +| RU000A1028C7 | Киви выпуск 1 | TCS00A1028C7 | rub | 1 | 0.01 | +| RU000A101FC7 | Ростелеком 002P выпуск 3 | BBG00RRT2HP0 | rub | 1 | 0.01 | +| RU000A101D13 | Сегежа выпуск 1 | BBG00RMFTSM5 | rub | 1 | 0.01 | +| RU000A1041B2 | Сегежа 002P выпуск 1 | TCS00A1041B2 | rub | 1 | 0.01 | +| RU000A100KL0 | Русал Братск БО-001Р выпуск 2 | BBG00PSQX526 | rub | 1 | 0.01 | +| RU000A0JWHA4 | Russia 2026 | BBG00CZCT9R8 | usd | 1 | 0.0001 | +| RU000A100Z91 | ГТЛК выпуск 15 | BBG00QQ73R50 | rub | 1 | 0.01 | +| RU000A1013N6 | Пионер-Лизинг-БО-П03 | BBG00QZ4PBD9 | rub | 1 | 0.01 | +| ISBNK0424 | Turkiye Is Bankasi | BBG00GH607J6 | usd | 1 | 0.01 | +| RU000A1016U4 | Гарант-Инвест БО 001P-06 | BBG00R4F67Z2 | rub | 1 | 0.01 | +| SU29010RMFS4 | ОФЗ 29010 | BBG007Z5FFL1 | rub | 1 | 0.001 | +| RU000A1007Z2 | РЖД 001Р выпуск 13 | BBG00NQKW4B0 | rub | 1 | 0.01 | +| RU000A1010M4 | РЖД ОАО БО 001Р-17R | BBG00QTH5DF3 | rub | 1 | 0.01 | +| RU000A102W68 | ХК Финанс выпуск 6 | BBG00ZSJ8ZX8 | rub | 1 | 0.01 | +| RU000A102GJ8 | Газпромбанк выпуск 18 | BBG00YHX6J06 | rub | 1 | 0.01 | +| RU000A1029T9 | СофтЛайн Трейд выпуск 4 | TCS00A1029T9 | rub | 1 | 0.01 | +| RU000A104B53 | АСПЭК-Домстрой выпуск 1 | BBG0149NW6B9 | rub | 1 | 0.01 | +| RU000A0ZYX28 | Sovcombank | BBG00K87T9V6 | usd | 100 | 0.0001 | +| RU000A1036E6 | АльфаБанк 002Р выпуск 12 | TCS00A1036E6 | rub | 1 | 0.01 | +| RU000A0JY023 | GTLK | BBG00HKB9M89 | usd | 1 | 0.0001 | +| RU000A102SV8 | АФК Система выпуск 18 | BBG00ZH9RB82 | rub | 1 | 0.01 | +| RU000A104C78 | Аренза-Про выпуск 1 | TCS00A104C78 | rub | 1 | 0.01 | +| RU000A102G50 | Восточная Стивидорная Компания выпуск 1 | BBG00YGKVB04 | rub | 1 | 0.01 | +| RU000A0JQ7Z2 | РЖД выпуск 19 | BBG00005V2L5 | rub | 1 | 0.01 | +| RU000A1036X6 | Вита Лайн 001Р выпуск 3 | TCS00A1036X6 | rub | 1 | 0.01 | +| OMA0128 | Sultanate of Oman | BBG00JQC34S1 | usd | 1 | 0.01 | +| RU000A0JXU14 | Russia 2047 | BBG00H0HV5C5 | usd | 1 | 0.0001 | +| RU000A103QK3 | VK выпуск 1 | TCS00A103QK3 | rub | 1 | 0.01 | +| RU000A101RV2 | Казахстан выпуск 7 | BBG00XH4RHP6 | rub | 1 | 0.01 | +| RU000A102K39 | РЕСО-Лизинг БО-П выпуск 8 | BBG00YMTR6J4 | rub | 1 | 0.01 | +| RU000A0JXRD5 | Почта России выпуск 2 | BBG00GSG5RB1 | rub | 1 | 0.01 | +| RU000A104C60 | ВТБ | BBG01496DQ23 | rub | 1 | 0.01 | +| RU000A0JW1K9 | Томская область выпуск 55 | BBG00BQZW6R1 | rub | 1 | 0.01 | +| RU000A100GW5 | Alfa Bank | BBG00PNDYR58 | rub | 1 | 0.01 | +| RU000A0JWZY6 | АФК Система выпуск 5 | BBG00FB978L6 | rub | 1 | 0.01 | +| RU000A1051U1 | МТС Банк выпуск 2 | TCS00A1051U1 | rub | 1 | 0.01 | +| RU000A103RD6 | ДОМ.РФ Социальные облигации выпуск 1 | TCS00A103RD6 | rub | 1 | 0.01 | +| RU000A102RX6 | ГК Самолет выпуск 9 | TCS00A102RX6 | rub | 1 | 0.01 | +| RU000A1034K8 | Russia 2036 EUR | BBG0113G7SP1 | eur | 1 | 0.0001 | +| RU000A0ZYCR1 | ТрансКомплектХолдинг выпуск 1 | BBG00HZ0R8T5 | rub | 1 | 0.01 | +| RU000A1051E5 | Ростелеком | TCS00A1051E5 | rub | 1 | 0.01 | +| XS2249778247 | GTLK | BBG00XXVWNC3 | usd | 1 | 0.0001 | +| RU000A102T97 | Аэрофьюэлз выпуск 1 | TCS00A102T97 | rub | 1 | 0.01 | +| RU000A100TH9 | РОСБАНК БО-002P выпуск 6 | BBG00Q87PDL9 | rub | 1 | 0.01 | +| RU000A101UR4 | Башкирская содовая компания выпуск 2 | BBG00VWZ21H5 | rub | 1 | 0.01 | +| RU000A0ZYMJ7 | Томская область выпуск 62 | BBG00JM15X21 | rub | 1 | 0.01 | +| RU000A103WD6 | ПИМ выпуск 1 | BBG0135CF8W1 | rub | 1 | 0.01 | +| RU000A103YP6 | СГ-транс выпуск 1 | BBG013BSN994 | rub | 1 | 0.01 | +| RU000A104YT6 | Самолет БО-П12 | TCS00A104YT6 | rub | 1 | 0.01 | +| RU000A100YU2 | Акрон выпуск 3 | BBG00QPS5TX8 | rub | 1 | 0.01 | +| ISSUANCESAMO | Самолет БО-П08 | ISSUANCESAMO | rub | 1 | 0 | +| RU000A102B48 | ЯТЭК выпуск 1 | TCS00A102B48 | rub | 1 | 0.01 | +| XS1946763361 | BCS Structured Products 27jun2024 выпуск 2 | BBG00NR70S66 | usd | 1 | 0.0001 | +| RU000A1006S9 | Russia 2035 | BBG00NPGNWZ2 | usd | 1 | 0.0001 | +| RU000A102B97 | Вита Лайн 001Р выпуск 2 | TCS00A102B97 | rub | 1 | 0.01 | +| SU26218RMFS6 | ОФЗ 26218 | BBG00B9PJ7V0 | rub | 1 | 0.001 | +| RU000A103RY2 | Интерлизинг выпуск 2 | BBG012QRRBN7 | rub | 1 | 0.01 | +| RU000A104123 | ДОМ.РФ 001Р-09 | BBG013TSL6D8 | rub | 1 | 0.01 | +| RU000A101Z66 | Балтийский лизинг БО-П03 | BBG00WFBVRN9 | rub | 1 | 0.01 | +| RU000A0ZYLK7 | Верхнебаканский цементный завод 001P выпуск 1 | BBG00JM14CY3 | rub | 1 | 0.01 | +| RU000A100881 | Ростелеком 001 выпуск 5 | BBG00NQKWGH7 | rub | 1 | 0.01 | +| RU000A1024R4 | Донской Ломбард выпуск 1 | BBG00XH486K6 | rub | 1 | 0.01 | +| RU000A102GD1 | ДОМ.РФ ИА 08 | TCS00A102GD1 | rub | 1 | 0.01 | +| RU000A103WZ9 | NexTouch выпуск 1 | BBG0136Y8NS2 | rub | 1 | 0.01 | +| RU000A1037L9 | Бифорком Тек выпуск 1 | BBG011CG00T5 | rub | 1 | 0.01 | +| RU000A100W52 | СуперОкс выпуск 1 | BBG00QKPJVK3 | rub | 1 | 0.01 | +| RU000A0JTMK9 | РусГидро выпуск 8 | BBG00440D136 | rub | 1 | 0.01 | +| RU000A0JW5E3 | ПКТ выпуск 2 | BBG00C7PQK43 | rub | 1 | 0.01 | +| RU000A103943 | Аэрофлот выпуск 1 | TCS00A103943 | rub | 1 | 0.01 | +| RU000A103KA7 | Мираторг выпуск 1 | TCS00A103KA7 | rub | 1 | 0.01 | +| XS1143363940 | Credit Bank of Moscow | BBG007KHNMS0 | rub | 1 | 0.01 | +| RU000A102LB5 | ПРОМОМЕД ДМ выпуск 1 | BBG00YRF7834 | rub | 1 | 0.01 | +| RU000A104ZK2 | М.Видео выпуск 3 | TCS00A104ZK2 | rub | 1 | 0.01 | +| RU000A100Q35 | ПР-Лизинг выпуск 3 | BBG00PZ6T956 | rub | 1 | 0.01 | +| RU000A101RP4 | Казахстан выпуск 1 | BBG00XH4N488 | rub | 1 | 0.01 | +| RU000A102V51 | Нафтатранс Плюс выпуск 3 | BBG00ZQYML62 | rub | 1 | 0.01 | +| RU000A0JXJE0 | Гидромашсервис БО выпуск 1 | BBG00FZYDS70 | rub | 1 | 0.01 | +| RU000A1009B9 | Детский мир выпуск 7 | BBG00NWBZTW2 | rub | 1 | 0.01 | +| RU000A102M45 | ДиректЛизинг выпуск 6 | BBG00YRFB429 | rub | 1 | 0.01 | +| RU000A100VQ6 | Норильский Никель БО-001Р выпуск 1 | BBG00QG1PSL0 | rub | 1 | 0.01 | +| SU24021RMFS6 | ОФЗ 24021 | BBG00RKDZWG3 | rub | 1 | 0.001 | +| RU000A1016Z3 | ПИК-Корпорация выпуск 2 | BBG00R4C0L75 | rub | 1 | 0.01 | +| RU000A0JXPN8 | Ростелеком выпуск 2 | BBG00GH12JY2 | rub | 1 | 0.01 | +| RU000A102UZ5 | Кировский завод выпуск 2 | BBG00ZQT2640 | rub | 1 | 0.01 | +| RU000A101GR3 | Банк Открытие БО-П выпуск 6 | BBG00S6QMBP8 | rub | 1 | 0.01 | +| RU000A100A66 | МТС выпуск 9 | BBG00NZHT902 | rub | 1 | 0.01 | +| RU000A101UQ6 | ИКС 5 Финанс выпуск 12 | BBG00VWZ2229 | rub | 1 | 0.01 | +| RU000A104362 | Восточная Стивидорная Компания выпуск 2 | TCS00A104362 | rub | 1 | 0.01 | +| RU000A1016K5 | Банк Зенит выпуск 5 | BBG00R4C5FF4 | rub | 1 | 0.01 | +| RU000A101Z74 | Газпромбанк выпуск 16 | BBG00WFB0B30 | rub | 1 | 0.01 | +| RU000A0ZYQY7 | АФК Система выпуск 7 | BBG00JX82779 | rub | 1 | 0.01 | +| RU000A103C53 | РЕСО-Лизинг БО-П выпуск 11 | BBG011PC1CT3 | rub | 1 | 0.01 | +| RU000A1020K7 | ПЮДМ БО-П2 | BBG00X0SRV34 | rub | 1 | 0.01 | +| TRY0228 | Republic of Turkey | BBG00JQ3B6W2 | usd | 1 | 0.01 | +| RU000A102GU5 | Белуга БО-П04 | TCS00A102GU5 | rub | 1 | 0.01 | +| RU000A102FS1 | АФК Система выпуск 16 | BBG00YG1RQV4 | rub | 1 | 0.01 | +| SU29012RMFS0 | ОФЗ 29012 | BBG00FFH2Z75 | rub | 1 | 0.001 | +| RU000A101KK0 | Роснано БО-002P выпуск 4 | BBG00SXFWRX7 | rub | 1 | 0.01 | +| RU000A0JXS59 | Почта России выпуск 3 | BBG00GTQYBZ5 | rub | 1 | 0.01 | +| RU000A102TT0 | Русская Аквакультура выпуск 1 | BBG00ZLFQKZ4 | rub | 1 | 0.01 | +| RU000A100HE1 | Азбука Вкуса выпуск 1 | BBG00PM8S500 | rub | 1 | 0.01 | +| XS0088543193 | Russia 2028 | BBG0000644P5 | usd | 1 | 0.0001 | +| RU000A101QL5 | ГТЛК выпуск 17 | BBG00V6NXQF4 | rub | 1 | 0.01 | +| RU000A102VR0 | ГТЛК 002P выпуск 1 | BBG00ZRZX9T8 | rub | 1 | 0.01 | +| RU000A102960 | РН Банк БО-1P выпуск 7 | BBG00XZ37219 | rub | 1 | 0.01 | +| RU000A1032S5 | Литана выпуск 1 | BBG010SC6Q70 | rub | 1 | 0.01 | +| RU000A101665 | Нижегородская область выпуск 14 | BBG00R4D6C68 | rub | 1 | 0.01 | +| RU000A100733 | Автобан-Финанс выпуск 2 | BBG00NPS4MC4 | rub | 1 | 0.01 | +| RU000A101CQ4 | СУЭК-Финанс выпуск 5 | BBG00RLS6TT4 | rub | 1 | 0.01 | +| SU52001RMFS3 | ОФЗ 52001 | BBG009J6Q4B7 | rub | 1 | 0.001 | +| XS0114288789 | Russia 2030 | BBG000056Z49 | usd | 1000 | 0.0001 | +| RU000A101QW2 | Сбер Банк | BBG00V9STNC5 | rub | 1 | 0.01 | +| RU000A105112 | РУСАЛ выпуск 06 | TCS00A105112 | cny | 1 | 0.0001 | +| RU000A103PX8 | ЛСР выпуск 7 | TCS00A103PX8 | rub | 1 | 0.01 | +| RU000A104SX0 | РЖД | TCS00A104SX0 | rub | 1 | 0.01 | +| RU000A103TS0 | ТЕХНО Лизинг выпуск 5 | BBG012STNNH6 | rub | 1 | 0.01 | +| RU000A102200 | Вита Лайн 001Р выпуск 1 | ISSUANCEVITA | rub | 1 | 0.01 | +| RU000A1033Z8 | Москва выпуск 74 | BBG011616RM7 | rub | 1 | 0.01 | +| RU000A0ZZ4T1 | РСХБ выпуск T1 | BBG00KSL6M30 | rub | 1 | 0.01 | +| RU000A0JWYQ5 | АФК Система выпуск 4 | BBG00F6NJY77 | rub | 1 | 0.01 | +| SU26225RMFS1 | ОФЗ 26225 | BBG00K53FX22 | rub | 1 | 0.001 | +| SU26224RMFS4 | ОФЗ 26224 | BBG00K53FBX6 | rub | 1 | 0.001 | +| RU000A102CD0 | ХК Финанс выпуск 5 | BBG00Y7KXWY9 | rub | 1 | 0.01 | +| RU000A102H91 | Автодор БО-3 выпуск 1 | BBG00YJJPT66 | rub | 1 | 0.01 | +| RU000A1006B5 | ТД Мясничий выпуск 3 | BBG00NLMJ541 | rub | 1 | 0.01 | +| RU000A103UL3 | Татнефтехим 001P выпуск 1 | BBG012Y8J8C8 | rub | 1 | 0.01 | +| RU000A103G91 | ПРОМОМЕД ДМ выпуск 2 | TCS00A103G91 | rub | 1 | 0.01 | +| RU000A100BB0 | Русал Братск БО-001P выпуск 1 | BBG00P33Q8B6 | rub | 1 | 0.01 | +| XS0559915961 | VEB | BBG0018V9PN0 | usd | 1 | 0.0001 | +| RU000A1043N3 | КАМАЗ БО-П09 | BBG013RRTP42 | rub | 1 | 0.01 | +| RU000A100V79 | Тинькофф Банк выпуск 3 | BBG00QDTJQD2 | rub | 1 | 0.01 | +| RU000A102S23 | Агрофирма-племзавод Победа выпуск 1 | BBG00ZCTRLC6 | rub | 1 | 0.01 | +| RU000A0ZZZ17 | НКНХ выпуск 1 | BBG00MT69C64 | rub | 1 | 0.01 | +| RU000A0ZYYN4 | Russia 2029 | BBG00KB9VG76 | usd | 1 | 0.0001 | +| RU000A100YT4 | Экспобанк БО выпуск 2 | BBG00QPVNQS3 | rub | 1 | 0.01 | +| RU000A103N76 | ИКС 5 Финанс 002Р выпуск 1 | BBG012F7Y8K5 | rub | 1 | 0.01 | +| RU000A0ZZEM5 | Ярославская область выпуск 16 | BBG00LLCGZL5 | rub | 1 | 0.01 | +| RU000A1031K4 | ДОМ.РФ ИА БО-001Р-08 | TCS00A1031K4 | rub | 1 | 0.01 | +| XS2243631095 | Gazprom Perp USD | BBG00XV2BDX1 | usd | 1 | 0.0001 | +| RU000A103L03 | ГК Самолет выпуск 10 | BBG0129FDB02 | rub | 1 | 0.01 | +| RU000A102CX8 | Ульяновская область выпуск 3 | BBG00Y90V3M0 | rub | 1 | 0.01 | +| XS2069992258 | GMK NorNickel | BBG00QN36P08 | usd | 1 | 0.0001 | +| RU000A102VY6 | Атомстройкомплекс БО-П01 | TCS00A102VY6 | rub | 1 | 0.01 | +| RU000A0ZZ5J9 | Почта России выпуск 5 | BBG00KTDNXH9 | rub | 1 | 0.01 | +| RU000A0JW1G7 | Роснано выпуск 7 | BBG00BRD9CY4 | rub | 1 | 0.01 | +| RU000A0ZYBM4 | Альфа-Банк выпуск 21 | BBG00HTLYK93 | rub | 1 | 0.01 | +| RU000A1005T9 | Гарант-Инвест БО 001P-05 | BBG00NJ3YSN8 | rub | 1 | 0.01 | +| RU000A0ZZ1J8 | ГТЛК выпуск 9 | BBG00KHR8SP0 | rub | 1 | 0.01 | +| RU000A0ZZAL5 | ГТЛК выпуск 11 | BBG00L92CX58 | usd | 1 | 0.0001 | +| RU000A100XC2 | Полюс ПБО-1 | BBG00QKHK9J0 | rub | 1 | 0.01 | +| EGPT0431 | ARAB REPUBLIC | BBG00NTC1SR9 | eur | 1 | 0.01 | +| RU000A0JXTS9 | Russia 2027 | BBG00H0HVGD0 | usd | 1 | 0.0001 | +| RU000A102FC5 | ВЭБ.РФ ПБО-1 выпуск 22 | BBG00YGJWYK4 | rub | 1 | 0.01 | +| RU000A1014P9 | КарМани БО выпуск 3 | BBG00R289K33 | rub | 1 | 0.01 | +| RU000A104BU2 | ГК ЕКС выпуск 1 | BBG0147HX1H8 | rub | 1 | 0.01 | +| RU000A103C46 | ПИК-Корпорация выпуск 4 | BBG011PCH913 | rub | 1 | 0.01 | +| RU000A102CL3 | Russia 2032 EUR | BBG00Y5TQNQ9 | eur | 1 | 0.0001 | +| RU000A104XW2 | СИБУР Холдинг 001Р выпуск 1 | TCS00A104XW2 | rub | 1 | 0.01 | +| RU000A0JXE06 | ГТЛК выпуск 3 | BBG00FVSZBH9 | rub | 1 | 0.01 | +| RU000A0ZZWJ3 | ОбъединениеАгроЭлита выпуск 1 | TCS00A0ZZWJ3 | rub | 1 | 0.01 | +| RU000A1043E2 | Новосибирская область выпуск 22 | TCS00A1043E2 | rub | 1 | 0.01 | +| RU000A102TJ1 | ТМК 001Р выпуск 3 | TCS00A102TJ1 | rub | 1 | 0.01 | +| RU000A1023L9 | Калита выпуск 2 | BBG00X6ZL3Z5 | rub | 1 | 0.01 | +| ALFAperp | Alfa Bond Issuance PLC | BBG00JS9D851 | usd | 1 | 0.01 | +| RU000A1049M2 | Инкаб выпуск 1 | TCS00A1049M2 | rub | 1 | 0.01 | +| RU000A103DY2 | БЭЛТИ-ГРАНД выпуск 4 | BBG011RXTDD0 | rub | 1 | 0.01 | +| RU000A103CD8 | ЛК Дельта выпуск 1 | TCS00A103CD8 | rub | 1 | 0.01 | +| RU000A103W91 | Обувь России 002P выпуск 1 | BBG0132XRL10 | rub | 1 | 0.01 | +| RU000A0JX0Z8 | Ямало-Ненецкий АО выпуск 2 | BBG00FGC1ZM9 | rub | 1 | 0.01 | +| RU000A100GY1 | ВЭБ.РФПБО-001Р-17 | BBG00PMHXRL3 | rub | 1 | 0.01 | +| XS0830192711 | Газпром нефть | BBG003CQ4DT8 | usd | 1 | 0.0001 | +| RU000A102VW0 | Элемент Лизинг 001P выпуск 3 | TCS00A102VW0 | rub | 1 | 0.01 | +| RU000A100UG9 | ХКФ Банк выпуск 6 | BBG00QB5VPL5 | rub | 1 | 0.01 | +| RU000A100ZL8 | ЛСР выпуск 5 | BBG00QRKJF13 | rub | 1 | 0.01 | +| RU000A104SU6 | МТС | TCS00A104SU6 | rub | 1 | 0.01 | +| RU000A101XD8 | МаксимаТелеком выпуск 1 | TCS00A101XD8 | rub | 1 | 0.01 | +| RU000A101LV5 | СофтЛайн Трейд выпуск 3 | BBG00TFS9DH2 | rub | 1 | 0.01 | +| RU000A0JQRD9 | РЖД выпуск 23 | BBG0000K94P9 | rub | 1 | 0.01 | +| RU000A0JWVL2 | Европлан БО 07 | BBG00DY7RMW5 | rub | 1 | 0.01 | +| USG76237AC37 | Rolls-Royce PLC | BBG00XV1FN94 | usd | 1 | 0.0001 | +| RU000A1026C1 | ПИК-Корпорация выпуск 3 | TCS00A1026C1 | rub | 1 | 0.01 | +| RU000A101JF2 | Онлайн Микрофинанс выпуск БО-2 | BBG00SKZW8N0 | rub | 1 | 0.01 | +| RU000A0ZYLF7 | ФПК выпуск 2 | BBG00JGKV6T7 | rub | 1 | 0.01 | +| RU000A0JW1P8 | ГТЛК выпуск 7 | BBG00BRZQ4Y4 | rub | 1 | 0.01 | +| RU000A0ZYEM8 | Самолет | BBG00HZZDWP4 | rub | 1 | 0.01 | +| RU000A100QA0 | ГК Самолет выпуск 6 | BBG00Q58ZXF2 | rub | 1 | 0.01 | +| RU000A1049K6 | Альфа-Банк 002Р выпуск 16 | BBG014578XG1 | rub | 1 | 0.01 | +| RU000A103PE8 | Промсвязьбанк 003P выпуск 7 | BBG012J4Q4W3 | rub | 1 | 0.01 | +| RU000A102SX4 | АФК Система выпуск 19 | BBG00ZHPT667 | rub | 1 | 0.01 | +| SU26235RMFS0 | ОФЗ 26235 | BBG00Y04Q3V7 | rub | 1 | 0.001 | +| RU000A1047S3 | Первое коллекторское бюро 001Р выпуск 3 | BBG0140BZS87 | rub | 1 | 0.01 | +| RU000A103WR6 | ЭР-Телеком Холдинг БО-02 выпуск 1 | BBG0135CF469 | rub | 1 | 0.01 | +| SU26236RMFS8 | ОФЗ 26236 | BBG00YB8K0V8 | rub | 1 | 0.001 | +| RU000A101LJ0 | ЕвроХим выпуск 8 | BBG00TCWB8X6 | rub | 1 | 0.01 | +| RU000A1043G7 | Сегежа 002P выпуск 2 | TCS00A1043G7 | rub | 1 | 0.01 | +| RU000A103S30 | ДиректЛизинг выпуск 7 | BBG012R0C9K9 | rub | 1 | 0.01 | +| RU000A0JWM56 | Самарская область выпуск 12 | BBG00D5L3Q99 | rub | 1 | 0.01 | +| RU000A0ZYX69 | ФПК выпуск 3 | BBG00K7DT3F5 | rub | 1 | 0.01 | +| RU000A100Y50 | СУЭК-Финанс выпуск 4 | BBG00QNGNMR8 | rub | 1 | 0.01 | +| SU26219RMFS4 | ОФЗ 26219 | BBG00D6Q7LY6 | rub | 1 | 0.001 | +| SU26222RMFS8 | ОФЗ 26222 | BBG00GLT6144 | rub | 1 | 0.001 | +| RU000A102BF7 | НК Продкорпорация выпуск 1 | TCS00A102BF7 | rub | 1 | 0.01 | +| RU000A103M85 | Элит Строй выпуск 1 | TCS00A103M85 | rub | 1 | 0.01 | +| RU000A102KR3 | АПРИ Флай Плэнинг БО-П4 | BBG00YNJ37B7 | rub | 1 | 0.01 | +| RU000A102SG9 | Селектел выпуск 1 | TCS00A102SG9 | rub | 1 | 0.01 | +| RU000A102TL7 | МФК Займер выпуск 1 | BBG00ZJX2024 | rub | 1 | 0.01 | +| RU000A1023K1 | АФК Система выпуск 15 | BBG00X5FK880 | rub | 1 | 0.01 | +| RU000A0ZYBV5 | ЛСР выпуск 3 | BBG00HTSM1G5 | rub | 1 | 0.01 | +| RU000A101GW3 | ЛЕГЕНДА выпуск 2 | TCS00A101GW3 | rub | 1 | 0.01 | +| RU000A102KQ5 | ТД РКС-Сочи 002Р-1 | BBG00YQ0FTY9 | rub | 1 | 0.01 | +| RU000A103VD8 | МСБ-Лизинг 002P выпуск 5 | BBG012YS2TP2 | rub | 1 | 0.01 | +| RU000A102RT4 | Промсвязьбанк 003P выпуск 4 | BBG00Z9DF8B8 | rub | 1 | 0.01 | +| SU25084RMFS3 | ОФЗ 25084 | BBG00RRT3TX4 | rub | 1 | 0.001 | +| RU000A0JXPD9 | ТМК выпуск 6 | BBG00GDC1GV2 | rub | 1 | 0.01 | +| RU000A101L96 | ЕвроХим выпуск 7 | BBG00T7HZJG4 | rub | 1 | 0.01 | +| RU000A104735 | ГК Пионер-001P выпуск 6 | TCS00A104735 | rub | 1 | 0.01 | +| RU000A0ZYG52 | Ростелеком выпуск 3 | BBG00J7HHGH1 | rub | 1 | 0.01 | -## Etfs available. Total: [105] +## Etfs available. Total: [91] -| Ticker | Full name | FIGI | Cur | Lot | Step -|--------------|----------------------------------------------------------------|--------------|-----|--------|--------- -| TMOS | Тинькофф iMOEX | BBG333333333 | rub | 1 | 0.002 -| FXGD | FinEx Золото | BBG005DXDPK9 | rub | 1 | 0.01 -| VTBE | РСХБ – Фонд Акций развивающихся стран | BBG00PVNWQ15 | usd | 10 | 0.001 -| SCZ | iShares MSCI EAFE Small-Cap ETF | BBG000T1G7X6 | usd | 1 | 0.01 -| VTBU | РСХБ – Корп еврооблигации РФ | BBG00RPRPBY4 | usd | 10 | 0.001 -| RU000A104172 | ЗПИФ ПАРУС-Сберлог | TCS00A104172 | rub | 1 | 0.1 -| SBBE | Первая – Фонд Блокчейн Экономика | TCS00A104B87 | rub | 1 | 0.001 -| AKCH | Альфа-Капитал Китайские Акции | BBG00YM3BX27 | rub | 1 | 0.02 -| FXKZ | FinEx Акции казахстанских компаний | BBG00M8C8Y03 | rub | 1 | 0.1 -| SBRS | Первая – Фонд Осторожный смарт | BBG011C8HRT6 | rub | 1 | 0.001 -| FXUS | FinEx Акции американских компаний | BBG005HLSZ23 | rub | 1 | 0.01 -| FXBC | FinEx Экосистема Блокчейн | BBG01526SWY3 | rub | 1 | 0.01 -| FXRL | FinEx Акции российских компаний | BBG0073DLHS1 | rub | 1 | 0.005 -| SBCS | Первая – Фонд Консервативный смарт | BBG011C8J9N0 | rub | 1 | 0.001 -| FXEM | FinEx Развивающиеся страны без Китая и Индии | BBG013T81ZQ6 | rub | 1 | 0.01 -| FXRB | FinEx Еврооблигации рос. компаний (RUB) | BBG004HNZFH2 | rub | 1 | 0.001 -| VTBB | ВТБ Корпоративные облигации | BBG00MF4JRQ8 | rub | 1 | 0.02 -| SPSB | SPDR Portfolio Short Term Corporate Bond ETF | BBG000Q1MZ15 | usd | 1 | 0.01 -| TSPV | Тинькофф SPAC | TCS00A102YC6 | usd | 100 | 0.0001 -| SBMX | Первая – Фонд Топ Российских акций | BBG00M0C8YM7 | rub | 1 | 0.001 -| AMEM | АТОН Рынки возможностей | TCS00A102XZ9 | rub | 1 | 0.1 -| AMRE | АТОН Российские акции + | TCS00A102XX4 | rub | 1 | 0.1 -| AMCC | АТОН Облачные технологии | TCS00A102XW6 | rub | 1 | 0.1 -| AMRB | АТОН Российские облигации + | TCS00A102XY2 | rub | 1 | 0.1 -| AMVF | АТОН Недооцененные компании США | TCS00A102XV8 | rub | 1 | 0.1 -| AMMF | АТОН Лидеры роста США | TCS00A102XS4 | rub | 1 | 0.1 -| AMIG | АТОН Надежные облигации | TCS00A102XU0 | rub | 1 | 0.1 -| AMHC | АТОН Медицина и биотех США | TCS00A102XT2 | rub | 1 | 0.1 -| VTBX | ВТБ Индекс Мосбиржи | TCS00A101EJ5 | rub | 1 | 0.05 -| AMLV | АТОН Тихая гавань | TCS00A102Y25 | rub | 1 | 0.1 -| AMGM | АТОН Золотодобытчики | TCS00A102XQ8 | rub | 1 | 0.1 -| AMSC | АТОН Цифровое будущее | TCS00A102Y33 | rub | 1 | 0.1 -| AMIN | АТОН Инновации | TCS00A102XR6 | rub | 1 | 0.1 -| AKSP | Альфа-Капитал S&P 500 | BBG00P5M77Y0 | usd | 1 | 0.01 -| AMSL | АТОН Серебро | TCS00A102Y09 | rub | 1 | 0.1 -| AMHY | АТОН Доходные облигации мира | TCS00A102XP0 | rub | 1 | 0.1 -| TGRN | Тинькофф Green Economy | TCS00A1039P6 | usd | 100 | 0.0001 -| AMGF | АТОН Ставка на рост | TCS00A102Y17 | rub | 1 | 0.1 -| TBRU | Тинькофф Bonds RUB | TCS00A1039N1 | rub | 1 | 0.001 -| AMGR | АТОН Генетическая революция | TCS00A102XN5 | rub | 1 | 0.1 -| VTBM | ВТБ Ликвидность | BBG00RPRPX12 | rub | 1 | 0.0001 -| SBHI | Первая–Фонд Халяльные инвестиции | BBG013RTHWK8 | rub | 1 | 0.002 -| AKMD | Альфа-Капитал Медицина | BBG011MM3NT8 | rub | 1 | 0.02 -| AKNX | Альфа-Капитал Технологии 100 | BBG00NNQMD85 | usd | 1 | 0.01 -| FXFA | FinEx Облигаций развитых рынков | BBG00ZXX3KF9 | rub | 1 | 0.01 -| AKGD | Альфа-Капитал Золото | BBG014M8NBM4 | rub | 1 | 0.01 -| TSPX | Тинькофф S&P 500 | TCS00A102EQ8 | usd | 100 | 0.0001 -| SBPS | Первая – Фонд Прогрессивный смарт | BBG011C8JMM2 | rub | 1 | 0.002 -| FXIT | FinEx Акции компаний IT-сектора США | BBG005HLTYH9 | rub | 1 | 1. -| EWP | iShares MSCI Spain ETF | BBG000BK58Q1 | usd | 1 | 0.01 -| SBRB | Первая – Фонд Корпоративные облигации | TCS00A100P44 | rub | 1 | 0.001 -| FXDM | FinEx Акции компаний развитых стран без США | TCS0BMDKNM37 | rub | 1 | 0.01 -| TIPO | Тинькофф Индекс IPO | TCS00A102EM7 | usd | 100 | 0.0001 -| TBIO | Тинькофф NASDAQ Biotech | TCS00A102EK1 | usd | 100 | 0.0001 -| AKVG | Альфа-Капитал Видеоигры | BBG013RTJNG1 | rub | 1 | 0.02 -| AKSC | Альфа-Капитал Космос | BBG012T4JCQ9 | rub | 1 | 0.02 -| SBCB | Первая - Фонд Российские еврооблигации | BBG00NB6KGN0 | usd | 1 | 0.01 -| AKEB | Альфа-Капитал Управляемые еврооблигации | BBG013RTJSX1 | rub | 1 | 0.05 -| RU000A1022Z1 | ЗПИФ ПАРУС-ОЗН | TCS00A1022Z1 | rub | 1 | 1. -| VTBH | РСХБ – Корп облигации США | BBG00PVNWFM6 | usd | 10 | 0.001 -| FXCN | FinEx Акции китайских компаний | BBG005VKB7D7 | rub | 1 | 0.5 -| TCBR | Тинькофф CyberSecurity | TCS00A103VN7 | usd | 100 | 0.0001 -| TBUY | Тинькофф BuyBack Leaders | TCS00A103VL1 | usd | 100 | 0.0001 -| VTBG | ВТБ Фонд Золото | BBG00V9V16J8 | rub | 1 | 0.0001 -| TUSD | Тинькофф Вечный портфель USD | BBG000000000 | usd | 100 | 0.0001 -| TEUR | Тинькофф Вечный портфель EUR | BBG000000002 | eur | 100 | 0.0001 -| TRUR | Тинькофф Вечный портфель RUB | BBG000000001 | rub | 1 | 0.01 -| TSST | Тинькофф ESG Leaders | TCS00A103VM9 | usd | 100 | 0.0001 -| TECH | Тинькофф NASDAQ | BBG111111111 | usd | 100 | 0.0001 -| FXRD | FinEx Облигации с рублевыми дивидендами | BBG01236BLK6 | rub | 1 | 0.01 -| IYT | iShares US Transportation ETF | BBG000BPNZB6 | usd | 1 | 0.01 -| FXIP | FinEx Облигации TIPS (RUB, хедж) | BBG011C7ZVQ2 | rub | 1 | 0.01 -| AKSF | Альфа-Капитал Стратегия будущего | BBG0151LJYV0 | rub | 1 | 0.01 -| TEMS | Тинькофф Emerging Markets | TCS00A103VJ5 | usd | 100 | 0.0001 -| TPAS | Тинькофф PAN-ASIA | TCS00A103VK3 | usd | 100 | 0.0001 -| TFNX | Тинькофф FinTech | TCS00A103VH9 | usd | 100 | 0.0001 -| TSOX | Тинькофф Semiconductors | TCS00A103VF3 | usd | 100 | 0.0001 -| TRAI | Тинькофф AI-Robotics | TCS00A103VG1 | usd | 100 | 0.0001 -| TEUS | Тинькофф Eurostocks 50 | TCS00A103VE6 | eur | 100 | 0.0001 -| FXRU | FinEx Еврооблигации рос. компаний (USD) | BBG005N1KZX4 | rub | 1 | 0.01 -| FXES | FinEx Видеоигры и Киберспорт | BBG011Q55QS3 | rub | 1 | 0.01 -| EWI | iShares MSCI Italy ETF | BBG000BK2V65 | usd | 1 | 0.01 -| AKQU | Альфа-Капитал Квант | BBG012VJJFG7 | usd | 1 | 0.01 -| FXTP | FinEx Облигации TIPS | TCS0BNYK7X86 | rub | 1 | 0.01 -| VTBA | РСХБ - Акции компаний США | BBG00PGVPH30 | usd | 10 | 0.001 -| FXRE | FinEx Фонды недвижимости REIT | BBG013N16YX7 | rub | 1 | 0.01 -| FXRW | FinEx Акции глобального рынка | BBG00R980XY3 | rub | 1 | 0.0001 -| SBGB | Первая – Фонд Государственные облигации | BBG00NJ6XQ74 | rub | 1 | 0.001 -| SBDS | Первая – Фонд Динамичный смарт | BBG011C8G9X2 | rub | 1 | 0.002 -| FXMM | FinEx Казначейские облигации США | BBG006GYFHV6 | rub | 1 | 0.1 -| FXWO | FinEx Акции глобального рынка | BBG00R9805F5 | rub | 1 | 0.0001 -| ESGD | iShares ESG Aware MSCI EAFE ETF | BBG00D7BBRR8 | usd | 1 | 0.01 -| TBEU | Тинькофф Еврооблигации EUR | TCS00A103TD2 | eur | 100 | 0.0001 -| FXIM | FinEx Акции компаний IT-сектора США | BBG00Y6D0N45 | usd | 10 | 0.001 -| SBSP | Первая – Фонд Американские акции | BBG00NTZWLM4 | rub | 1 | 0.2 -| FXDE | FinEx Акции немецких компаний | BBG005H7MXN2 | rub | 1 | 0.005 -| AMDG | АТОН Дивиденды | TCS00A1030P5 | rub | 1 | 0.1 -| TGLD | Тинькофф Золото | BBG222222222 | usd | 100 | 0.0001 -| IEV | iShares Europe ETF | BBG000BXV152 | usd | 1 | 0.01 -| AKME | Альфа-Капитал Управляемые Российские Акции | BBG00YRW4B42 | rub | 1 | 0.02 -| AKMB | Альфа-Капитал Управляемые облигации | BBG00V7649K4 | rub | 1 | 0.0001 -| KBWB | Invesco KBW Bank ETF | BBG0027F1TD5 | usd | 1 | 0.01 -| AKEU | Альфа-Капитал Европа 600 | BBG00Q3HQJ74 | eur | 1 | 0.01 -| FXTB | FinEx Казначейские облигации США (USD) | BBG00NRFC2X2 | rub | 1 | 0.01 -| SBWS | Первая – Фонд Взвешенный смарт | BBG011C8J503 | rub | 1 | 0.002 +| Ticker | Full name | FIGI | Cur | Lot | Step | +|--------------|-----------------------------------------------------------|--------------|-----|---------|------------| +| FXRE | FinEx Фонды недвижимости REIT | BBG013N16YX7 | rub | 1 | 0.01 | +| FXDE | FinEx Акции немецких компаний | BBG005H7MXN2 | rub | 1 | 0.005 | +| FXUS | FinEx Акции американских компаний | BBG005HLSZ23 | rub | 1 | 0.01 | +| AKNX | Альфа-Капитал Технологии 100 | BBG00NNQMD85 | usd | 1 | 0.01 | +| AKEU | Альфа-Капитал Европа 600 | BBG00Q3HQJ74 | eur | 1 | 0.01 | +| SBRB | Первая – Фонд Корпоративные облигации | TCS00A100P44 | rub | 1 | 0.001 | +| VTBU | РСХБ – Корп еврооблигации РФ | BBG00RPRPBY4 | usd | 10 | 0.001 | +| SBCB | Первая - Фонд Российские еврооблигации | BBG00NB6KGN0 | usd | 1 | 0.01 | +| TBUY | Тинькофф BuyBack Leaders | TCS00A103VL1 | usd | 100 | 0.0001 | +| FXKZ | FinEx Акции казахстанских компаний | BBG00M8C8Y03 | rub | 1 | 0.1 | +| TGRN | Тинькофф Green Economy | TCS00A1039P6 | usd | 100 | 0.0001 | +| AKMD | Альфа-Капитал Медицина | BBG011MM3NT8 | rub | 1 | 0.02 | +| SBCS | Первая – Фонд Консервативный смарт | BBG011C8J9N0 | rub | 1 | 0.001 | +| AKVG | Альфа-Капитал Видеоигры | BBG013RTJNG1 | rub | 1 | 0.02 | +| SBHI | Первая–Фонд Халяльные инвестиции | BBG013RTHWK8 | rub | 1 | 0.002 | +| AMRE | АТОН Российские акции + | TCS00A102XX4 | rub | 1 | 0.1 | +| EQMX | ВИМ – Индекс МосБиржи | TCS00A101EJ5 | rub | 1 | 0.05 | +| FXRU | FinEx Еврооблигации рос. компаний (USD) | BBG005N1KZX4 | rub | 1 | 0.01 | +| SBSP | Первая – Фонд Американские акции | BBG00NTZWLM4 | rub | 1 | 0.2 | +| TSPX | Тинькофф USA 500 | TCS00A102EQ8 | usd | 100 | 0.0001 | +| RU000A1022Z1 | ЗПИФ ПАРУС-ОЗН | TCS00A1022Z1 | rub | 1 | 1 | +| FXRD | FinEx Облигации с рублевыми дивидендами | BBG01236BLK6 | rub | 1 | 0.01 | +| FXDM | FinEx Акции компаний развитых стран без США | TCS0BMDKNM37 | rub | 1 | 0.01 | +| FXRW | FinEx Акции глобального рынка | BBG00R980XY3 | rub | 1 | 0.0001 | +| SBPS | Первая – Фонд Прогрессивный смарт | BBG011C8JMM2 | rub | 1 | 0.002 | +| TUSD | Тинькофф Вечный портфель USD | BBG000000000 | usd | 100 | 0.0001 | +| VTBH | РСХБ – Корп облигации США | BBG00PVNWFM6 | usd | 10 | 0.001 | +| TEUR | Тинькофф Вечный портфель EUR | BBG000000002 | eur | 100 | 0.0001 | +| TPAS | Тинькофф PAN-ASIA | TCS00A103VK3 | usd | 100 | 0.0001 | +| FXMM | FinEx Казначейские облигации США | BBG006GYFHV6 | rub | 1 | 0.1 | +| FXWO | FinEx Акции глобального рынка | BBG00R9805F5 | rub | 1 | 0.0001 | +| FXTB | FinEx Казначейские облигации США (USD) | BBG00NRFC2X2 | rub | 1 | 0.01 | +| FXIT | FinEx Акции компаний IT-сектора США | BBG005HLTYH9 | rub | 1 | 1 | +| TMOS | Тинькофф iMOEX | BBG333333333 | rub | 1 | 0.002 | +| LQDT | ВИМ - Ликвидность | BBG00RPRPX12 | rub | 1 | 0.0001 | +| FXEM | FinEx Развивающиеся страны без Китая и Индии | BBG013T81ZQ6 | rub | 1 | 0.01 | +| SBWS | Первая – Фонд Взвешенный смарт | BBG011C8J503 | rub | 1 | 0.002 | +| TGLD | Тинькофф Золото | BBG222222222 | usd | 100 | 0.0001 | +| TBRU | Тинькофф Bonds RUB | TCS00A1039N1 | rub | 1 | 0.001 | +| FXFA | FinEx Облигаций развитых рынков | BBG00ZXX3KF9 | rub | 1 | 0.01 | +| TEUS | Тинькофф Eurostocks 50 | TCS00A103VE6 | eur | 100 | 0.0001 | +| FXES | FinEx Видеоигры и Киберспорт | BBG011Q55QS3 | rub | 1 | 0.01 | +| TSST | Тинькофф ESG Leaders | TCS00A103VM9 | usd | 100 | 0.0001 | +| FXBC | FinEx Экосистема Блокчейн | BBG01526SWY3 | rub | 1 | 0.01 | +| AKGD | Альфа-Капитал Золото | BBG014M8NBM4 | rub | 1 | 0.01 | +| SBBE | Первая – Фонд Блокчейн Экономика | TCS00A104B87 | rub | 1 | 0.001 | +| SCZ | iShares MSCI EAFE Small-Cap ETF | BBG000T1G7X6 | usd | 1 | 0.01 | +| AKME | Альфа-Капитал Управляемые Российские Акции | BBG00YRW4B42 | rub | 1 | 0.02 | +| FXIM | FinEx Акции компаний IT-сектора США | BBG00Y6D0N45 | usd | 10 | 0.001 | +| AKEB | Альфа-Капитал Управляемые еврооблигации | BBG013RTJSX1 | rub | 1 | 0.05 | +| TSOX | Тинькофф Semiconductors | TCS00A103VF3 | usd | 100 | 0.0001 | +| TEMS | Тинькофф Emerging Markets | TCS00A103VJ5 | usd | 100 | 0.0001 | +| AKSC | Альфа-Капитал Космос | BBG012T4JCQ9 | rub | 1 | 0.02 | +| SBGB | Первая – Фонд Государственные облигации | BBG00NJ6XQ74 | rub | 1 | 0.001 | +| TRRE | Тинькофф ЖК Republic-REDS | TCS00A104UC0 | rub | 1 | 1 | +| AKMB | Альфа-Капитал Управляемые облигации | BBG00V7649K4 | rub | 1 | 0.0001 | +| SBRS | Первая – Фонд Осторожный смарт | BBG011C8HRT6 | rub | 1 | 0.001 | +| TRAI | Тинькофф AI-Robotics | TCS00A103VG1 | usd | 100 | 0.0001 | +| FXRB | FinEx Еврооблигации рос. компаний (RUB) | BBG004HNZFH2 | rub | 1 | 0.001 | +| AKQU | Альфа-Капитал Квант | BBG012VJJFG7 | usd | 1 | 0.01 | +| TFNX | Тинькофф FinTech | TCS00A103VH9 | usd | 100 | 0.0001 | +| VTBA | РСХБ - Акции компаний США | BBG00PGVPH30 | usd | 10 | 0.001 | +| IEV | iShares Europe ETF | BBG000BXV152 | usd | 1 | 0.01 | +| KBWB | Invesco KBW Bank ETF | BBG0027F1TD5 | usd | 1 | 0.01 | +| TCBR | Тинькофф CyberSecurity | TCS00A103VN7 | usd | 100 | 0.0001 | +| GOLD | ВИМ Фонд Золото | BBG00V9V16J8 | rub | 1 | 0.0001 | +| ESGD | iShares ESG Aware MSCI EAFE ETF | BBG00D7BBRR8 | usd | 1 | 0.01 | +| FXGD | FinEx Золото | BBG005DXDPK9 | rub | 1 | 0.01 | +| FXRL | FinEx Акции российских компаний | BBG0073DLHS1 | rub | 1 | 0.005 | +| EWI | iShares MSCI Italy ETF | BBG000BK2V65 | usd | 1 | 0.01 | +| AMRB | АТОН Российские облигации + | TCS00A102XY2 | rub | 1 | 0.1 | +| AKSF | Альфа-Капитал Стратегия будущего | BBG0151LJYV0 | rub | 1 | 0.01 | +| FXIP | FinEx Облигации TIPS (RUB) | BBG011C7ZVQ2 | rub | 1 | 0.01 | +| SPSB | SPDR Portfolio Short Term Corporate Bond ETF | BBG000Q1MZ15 | usd | 1 | 0.01 | +| TSPV | Тинькофф SPAC | TCS00A102YC6 | usd | 100 | 0.0001 | +| OBLG | ВИМ – Корпоративные облигации | BBG00MF4JRQ8 | rub | 1 | 0.02 | +| TBEU | Тинькофф Еврооблигации EUR | TCS00A103TD2 | eur | 100 | 0.0001 | +| IYT | iShares US Transportation ETF | BBG000BPNZB6 | usd | 1 | 0.01 | +| AKCH | Альфа-Капитал Китайские Акции | BBG00YM3BX27 | rub | 1 | 0.02 | +| AKSP | Альфа-Капитал S&P 500 | BBG00P5M77Y0 | usd | 1 | 0.01 | +| TIPO | Тинькофф Индекс IPO | TCS00A102EM7 | usd | 100 | 0.0001 | +| RU000A104172 | ЗПИФ ПАРУС-Сберлог | TCS00A104172 | rub | 1 | 0.1 | +| EWP | iShares MSCI Spain ETF | BBG000BK58Q1 | usd | 1 | 0.01 | +| TRUR | Тинькофф Вечный портфель RUB | BBG000000001 | rub | 1 | 0.01 | +| TECH | Тинькофф Technology | BBG111111111 | usd | 100 | 0.0001 | +| TBIO | Тинькофф Biotech | TCS00A102EK1 | usd | 100 | 0.0001 | +| SBDS | Первая – Фонд Динамичный смарт | BBG011C8G9X2 | rub | 1 | 0.002 | +| FXCN | FinEx Акции китайских компаний | BBG005VKB7D7 | rub | 1 | 0.5 | +| VTBE | РСХБ – Фонд Акций развивающихся стран | BBG00PVNWQ15 | usd | 10 | 0.001 | +| SBMX | Первая – Фонд Топ Российских акций | BBG00M0C8YM7 | rub | 1 | 0.001 | +| FXTP | FinEx Облигации TIPS | TCS0BNYK7X86 | rub | 1 | 0.01 | -## Futures available. Total: [284] +## Futures available. Total: [366] -| Ticker | Full name | FIGI | Cur | Lot | Step -|--------------|----------------------------------------------------------------|--------------|-----|--------|--------- -| NlJ2 | Nl-4.22 Никель | FUTNL0422000 | rub | 1 | 5. -| CoK2 | Co-5.22 Медь | FUTCO0522000 | rub | 1 | 0.5 -| MEH2 | MOEX-3.22 Московская биржа | FUTMOEX03220 | rub | 1 | 1. -| EDZ2 | ED-12.22 Курс евро-доллар | FUTED1222000 | rub | 1 | 0.0001 -| AKU2 | AFKS-9.22 АФК Система (обыкновенные) | FUTAFKS09220 | rub | 1 | 1. -| PHM2 | PHOR-6.22 ФосАгро | FUTPHOR06220 | rub | 1 | 1. -| MLH2 | MAIL-3.22 VK | FUTMAIL03220 | rub | 1 | -| SiU2 | Si-9.22 Курс доллар - рубль | BBG00X86FJ70 | rub | 1 | 1. -| RIU2 | RTS-9.22 Индекс РТС | FUTRTS092200 | rub | 1 | 10. -| RSU2 | RTSS-9.22 Индекс голубых фишек | FUTRTSS09220 | rub | 1 | 1. -| NGK2 | NG-5.22 Природный газ | FUTNG0522000 | rub | 1 | -| MGM2 | MAGN-6.22 ММК | FUTMAGN06220 | rub | 1 | 1. -| RIM3 | RTS-6.23 Индекс РТС | FUTRTS062300 | rub | 1 | 10. -| RTU2 | RTKM-9.22 Ростелеком | FUTRTKM09220 | rub | 1 | 1. -| SVH3 | SILV-3.23 Серебро | FUTSILV03230 | rub | 1 | 0.01 -| SFU2 | SPYF-9.22 SPDR S&P 500 ETF Trust | FUTSPYF09220 | rub | 1 | 0.01 -| MMZ2 | MXI-12.22 Индекс МосБиржи (мини) | FUTMXI122200 | rub | 1 | 0.05 -| SVH2 | SILV-3.22 Серебро | FUTSILV03220 | rub | 1 | -| NGQ2 | NG-8.22 Природный газ | FUTNG0822000 | rub | 1 | 0.001 -| LKM2 | LKOH-6.22 Лукойл | FUTLKOH06220 | rub | 1 | -| MTZ2 | MTSI-12.22 МТС | FUTMTSI12220 | rub | 1 | 1. -| SAH2 | SUGR-3.22 Сахар | FUTSUGR03220 | rub | 1 | -| FSM2 | FEES-6.22 ФСК ЕЭС | FUTFEES06220 | rub | 1 | -| SiZ3 | Si-12.23 Курс доллар - рубль | FUTSI1223000 | rub | 1 | 1. -| AFM2 | AFLT-6.22 Аэрофлот | FUTAFLT06220 | rub | 1 | -| YNZ2 | YNDF-12.22 Яндекс | FUTYNDF12220 | rub | 1 | 1. -| SNM2 | SNGR-6.22 Сургутнефтегаз | FUTSNGR06220 | rub | 1 | -| PDU2 | PLD-9.22 Палладий | FUTPLD092200 | rub | 1 | 0.01 -| SVU2 | SILV-9.22 Серебро | FUTSILV09220 | rub | 1 | 0.01 -| NlN2 | Nl-7.22 Никель | FUTNL0722000 | rub | 1 | 5. -| MLU2 | MAIL-9.22 VK | FUTMAIL09220 | rub | 1 | 1. -| RIU3 | RTS-9.23 Индекс РТС | FUTRTS092300 | rub | 1 | 10. -| MMH2 | MXI-3.22 Индекс МосБиржи (мини) | FUTMXI032200 | rub | 1 | -| BRH3 | BR-3.23 Нефть Brent | FUTBR0323000 | rub | 1 | 0.01 -| SAV2 | SUGR-10.22 Сахар | FUTSUGR10220 | rub | 1 | 0.01 -| GDH3 | GOLD-3.23 Золото | FUTGOLD03230 | rub | 1 | 0.1 -| VIM2 | RVI-6.22 Волатильность российского рынка | FUTRVI062200 | rub | 1 | -| HYM2 | HYDR-6.22 РусГидро | FUTHYDR06220 | rub | 1 | -| DYM2 | DSKY-6.22 Детский мир | FUTDSKY06220 | rub | 1 | -| GKZ2 | GMKN-12.22 Норильский никель | FUTGMKN12220 | rub | 1 | 1. -| BRQ2 | BR-8.22 Нефть Brent | FUTBR0822000 | rub | 1 | 0.01 -| GUM2 | GBPU-6.22 Курс Фунт стерлингов - Доллар | FUTGBPU06220 | rub | 1 | 0.0001 -| OZU2 | OZON-9.22 Озон | FUTOZON09220 | rub | 1 | 1. -| SSM2 | SMLT-6.22 ГК Самолет | FUTSMLT06220 | rub | 1 | -| GDH2 | GOLD-3.22 Золото | FUTGOLD03220 | rub | 1 | -| BRV2 | BR-10.22 Нефть Brent | FUTBR1022000 | rub | 1 | 0.01 -| EuM2 | Eu-6.22 Курс евро - рубль | BBG00YHPF166 | rub | 1 | -| SRZ2 | SBRF-12.22 Сбер Банк (обыкновенные) | FUTSBRF12220 | rub | 1 | 1. -| OZH2 | OZON-3.22 Озон | FUTOZON03220 | rub | 1 | -| AFZ2 | AFLT-12.22 Аэрофлот | FUTAFLT12220 | rub | 1 | 1. -| RNH5 | ROSN-3.25 Роснефть | FUTROSN03250 | rub | 1 | 1. -| MNH2 | MGNT-3.22 Магнит | FUTMGNT03220 | rub | 1 | -| BRZ2 | BR-12.22 Нефть Brent | FUTBR1222000 | rub | 1 | 0.01 -| SiZ2 | Si-12.22 Курс доллар - рубль | BBG00YHPF1H4 | rub | 1 | 1. -| BRH2 | BR-3.22 Нефть Brent | FUTBR0322000 | rub | 1 | -| GZZ4 | GAZR-12.24 Газпром | FUTGAZR12240 | rub | 1 | 1. -| GZZ2 | GAZR-12.22 Газпром | FUTGAZR12220 | rub | 1 | 1. -| RNH2 | ROSN-3.22 Роснефть | FUTROSN03220 | rub | 1 | -| ALU2 | ALRS-9.22 Алроса | FUTALRS09220 | rub | 1 | 1. -| GDU2 | GOLD-9.22 Золото | FUTGOLD09220 | rub | 1 | 0.1 -| RNU2 | ROSN-9.22 Роснефть | FUTROSN09220 | rub | 1 | 1. -| FVM2 | FIVE-6.22 X5 RetailGroup | FUTFIVE06220 | rub | 1 | -| IRH2 | IRAO-3.22 Интер РАО ЕЭС | FUTIRAO03220 | rub | 1 | -| TNM2 | TRNF-6.22 Транснефть (привилегированные) | FUTTRNF06220 | rub | 1 | -| RNU4 | ROSN-9.24 Роснефть | FUTROSN09240 | rub | 1 | 1. -| LKZ2 | LKOH-12.22 Лукойл | FUTLKOH12220 | rub | 1 | 1. -| YNM2 | YNDF-6.22 Яндекс | FUTYNDF06220 | rub | 1 | 1. -| REM2 | RSTI-6.22 Российские сети (обыкновенные) | FUTRSTI06220 | rub | 1 | -| CSM2 | CNI-6.22 Индекс Потребительского сектора | FUTCNI062200 | rub | 1 | -| RBM2 | RGBI-6.22 Индекс Государственных облигаций | FUTRGBI06220 | rub | 1 | 1. -| VBZ2 | VTBR-12.22 ВТБ | FUTVTBR12220 | rub | 1 | 1. -| VIF2 | RVI-1.22 Волатильность российского рынка | FUTRVI012200 | rub | 1 | -| TTH2 | TATN-3.22 Татнефть | FUTTATN03220 | rub | 1 | -| BRG2 | BR-2.22 Нефть Brent | FUTBR0222000 | rub | 1 | -| BRU2 | BR-9.22 Нефть Brent | FUTBR0922000 | rub | 1 | 0.01 -| MMU2 | MXI-9.22 Индекс МосБиржи (мини) | FUTMXI092200 | rub | 1 | 0.05 -| CoN2 | Co-7.22 Медь | FUTCO0722000 | rub | 1 | 0.5 -| MMH5 | MXI-3.25 Индекс МосБиржи (мини) | FUTMXI032500 | rub | 1 | 0.05 -| SGM2 | SNGP-6.22 Сургутнефтегаз (привилегированные) | FUTSNGP06220 | rub | 1 | 1. -| EURRUBF | EURRUBF Евро - Рубль | FUTEURRUBF00 | rub | 1 | 0.01 -| SRM2 | SBRF-6.22 Сбер Банк (обыкновенные) | FUTSBRF06220 | rub | 1 | -| EDH2 | ED-3.22 Курс евро - доллар | FUTED0322000 | rub | 1 | -| NMU2 | NLMK-9.22 НЛМК | FUTNLMK09220 | rub | 1 | 1. -| AUM2 | AUDU-6.22 Курс Австралийский доллар - Доллар США | FUTAUDU06220 | rub | 1 | 0.0001 -| YNU2 | YNDF-9.22 Яндекс | FUTYNDF09220 | rub | 1 | 1. -| PZH2 | PLZL-3.22 Полюс Золото | FUTPLZL03220 | rub | 1 | -| BRK2 | BR-5.22 Нефть Brent | FUTBR0522000 | rub | 1 | -| RLM2 | RUAL-6.22 РУСАЛ | FUTRUAL06220 | rub | 1 | -| SiH3 | Si-3.23 Курс доллар - рубль | FUTSI0323000 | rub | 1 | 1. -| NMH2 | NLMK-3.22 НЛМК | FUTNLMK03220 | rub | 1 | -| GZM4 | GAZR-6.24 Газпром | FUTGAZR06240 | rub | 1 | 1. -| ALZ2 | ALRS-12.22 Алроса | FUTALRS12220 | rub | 1 | 1. -| GZM2 | GAZR-6.22 Газпром | FUTGAZR06220 | rub | 1 | -| PZU2 | PLZL-9.22 Полюс Золото | FUTPLZL09220 | rub | 1 | 1. -| NGV2 | NG-10.22 Природный газ | FUTNG1022000 | rub | 1 | 0.001 -| POU2 | POLY-9.22 Polymetal | FUTPOLY09220 | rub | 1 | 1. -| SOH2 | SIBN-3.22 Газпром нефть | FUTSIBN03220 | rub | 1 | -| IRU2 | IRAO-9.22 Интер РАО ЕЭС | FUTIRAO09220 | rub | 1 | 1. -| CYM2 | CY-6.22 Курс Юань - Рубль | FUTCY0622000 | rub | 1 | -| MNM2 | MGNT-6.22 Магнит | FUTMGNT06220 | rub | 1 | 1. -| CAM2 | UCAD-6.22 Курс Доллар США - Канадский доллар | FUTUCAD06220 | rub | 1 | -| MMM4 | MXI-6.24 Индекс МосБиржи (мини) | FUTMXI062400 | rub | 1 | 0.05 -| VIJ2 | RVI-4.22 Волатильность российского рынка | FUTRVI042200 | rub | 1 | -| MCM2 | MTLR-6.22 Мечел (обыкновенные) | FUTMTLR06220 | rub | 1 | 1. -| MMH3 | MXI-3.23 Индекс МосБиржи (мини) | FUTMXI032300 | rub | 1 | 0.05 -| BRK3 | BR-5.23 Нефть Brent | FUTBR0523000 | rub | 1 | 0.01 -| NGG2 | NG-2.22 Природный газ | FUTNG0222000 | rub | 1 | -| HOH2 | HOME-3.22 Индекс московской недвижимости | FUTHOME03220 | rub | 1 | -| VBM2 | VTBR-6.22 ВТБ | FUTVTBR06220 | rub | 1 | 1. -| SAK2 | SUGR-5.22 Сахар | FUTSUGR05220 | rub | 1 | -| MEU2 | MOEX-9.22 Московская биржа | FUTMOEX09220 | rub | 1 | 1. -| TTU2 | TATN-9.22 Татнефть | FUTTATN09220 | rub | 1 | 1. -| NKU2 | NOTK-9.22 Новатэк | FUTNOTK09220 | rub | 1 | 1. -| SPU2 | SBPR-9.22 Сбер Банк (привилегированные) | FUTSBPR09220 | rub | 1 | 1. -| CNYRUBF | CNYRUBF Юань - Рубль | FUTCNYRUBF00 | rub | 1 | 0.01 -| JPM2 | UJPY-6.22 Курс доллар США - Японская йена | FUTUJPY06220 | rub | 1 | 0.01 -| SNU2 | SNGR-9.22 Сургутнефтегаз | FUTSNGR09220 | rub | 1 | 1. -| MMZ4 | MXI-12.24 Индекс МосБиржи (мини) | FUTMXI122400 | rub | 1 | 0.05 -| RMU2 | RTSM-9.22 Индекс РТС (мини) | FUTRTSM09220 | rub | 1 | 0.5 -| HOU2 | HOME-9.22 Индекс московской недвижимости | FUTHOME09220 | rub | 1 | 10. -| SPH2 | SBPR-3.22 Сбер Банк (привилегированные) | FUTSBPR03220 | rub | 1 | -| NlQ2 | Nl-8.22 Никель | FUTNL0822000 | rub | 1 | 5. -| MTU2 | MTSI-9.22 МТС | FUTMTSI09220 | rub | 1 | 1. -| NGN2 | NG-7.22 Природный газ | FUTNG0722000 | rub | 1 | 0.001 -| SOU2 | SIBN-9.22 Газпром нефть | FUTSIBN09220 | rub | 1 | 1. -| GKM2 | GMKN-6.22 Норильский никель | FUTGMKN06220 | rub | 1 | -| VIN2 | RVI-7.22 Волатильность российского рынка | FUTRVI072200 | rub | 1 | 0.05 -| PIM2 | PIKK-6.22 ПИК | FUTPIKK06220 | rub | 1 | 1. -| POH2 | POLY-3.22 Polymetal | FUTPOLY03220 | rub | 1 | -| RMH2 | RTSM-3.22 Индекс РТС (мини) | FUTRTSM03220 | rub | 1 | -| CFM2 | UCHF-6.22 Курс доллар США - Швейцарский франк | FUTUCHF06220 | rub | 1 | 0.0001 -| SFZ2 | SPYF-12.22 SPDR S&P 500 ETF Trust | FUTSPYF12220 | rub | 1 | 0.01 -| RMH3 | RTSM-3.23 Индекс РТС (мини) | FUTRTSM03230 | rub | 1 | 0.5 -| BRN2 | BR-7.22 Нефть Brent | FUTBR0722000 | rub | 1 | 0.01 -| RTH2 | RTKM-3.22 Ростелеком | FUTRTKM03220 | rub | 1 | -| PHU2 | PHOR-9.22 ФосАгро | FUTPHOR09220 | rub | 1 | 1. -| MGH2 | MAGN-3.22 ММК | FUTMAGN03220 | rub | 1 | -| MMM2 | MXI-6.22 Индекс МосБиржи (мини) | FUTMXI062200 | rub | 1 | -| NlH2 | Nl-3.22 Никель | FUTNL0322000 | rub | 1 | -| EuU2 | Eu-9.22 Курс евро - рубль | BBG00ZMKXM17 | rub | 1 | 1. -| GUH2 | GBPU-3.22 Курс Фунт стерлингов - Доллар | FUTGBPU03220 | rub | 1 | -| FSH2 | FEES-3.22 ФСК ЕЭС | FUTFEES03220 | rub | 1 | -| GDM3 | GOLD-6.23 Золото | FUTGOLD06230 | rub | 1 | 0.1 -| GDM2 | GOLD-6.22 Золото | FUTGOLD06220 | rub | 1 | -| SNH2 | SNGR-3.22 Сургутнефтегаз | FUTSNGR03220 | rub | 1 | -| SVM2 | SILV-6.22 Серебро | FUTSILV06220 | rub | 1 | -| DYH2 | DSKY-3.22 Детский мир | FUTDSKY03220 | rub | 1 | -| MXM2 | MIX-6.22 Индекс МосБиржи | FUTMIX062200 | rub | 1 | -| SiU3 | Si-9.23 Курс доллар - рубль | FUTSI0923000 | rub | 1 | 1. -| NGF2 | NG-1.22 Природный газ | FUTNG0122000 | rub | 1 | -| SSU2 | SMLT-9.22 ГК Самолет | FUTSMLT09220 | rub | 1 | 1. -| RSM2 | RTSS-6.22 Индекс голубых фишек | FUTRTSS06220 | rub | 1 | -| RMZ2 | RTSM-12.22 Индекс РТС (мини) | FUTRTSM12220 | rub | 1 | 0.5 -| FVH2 | FIVE-3.22 X5 RetailGroup | FUTFIVE03220 | rub | 1 | -| PTH2 | PLT-3.22 Платина | FUTPLT032200 | rub | 1 | -| REH2 | RSTI-3.22 Российские сети (обыкновенные) | FUTRSTI03220 | rub | 1 | -| OZM2 | OZON-6.22 Озон | FUTOZON06220 | rub | 1 | -| LKU2 | LKOH-9.22 Лукойл | FUTLKOH09220 | rub | 1 | 1. -| MEM2 | MOEX-6.22 Московская биржа | FUTMOEX06220 | rub | 1 | -| PHH2 | PHOR-3.22 ФосАгро | FUTPHOR03220 | rub | 1 | -| HYH2 | HYDR-3.22 РусГидро | FUTHYDR03220 | rub | 1 | -| FNM2 | FNI-6.22 Индекс Финансов | FUTFNI062200 | rub | 1 | -| MGU2 | MAGN-9.22 ММК | FUTMAGN09220 | rub | 1 | 1. -| MTH2 | MTSI-3.22 МТС | FUTMTSI03220 | rub | 1 | -| JPH2 | UJPY-3.22 Курс доллар США - Японская йена | FUTUJPY03220 | rub | 1 | -| MLM2 | MAIL-6.22 VK | FUTMAIL06220 | rub | 1 | -| FSU2 | FEES-9.22 ФСК ЕЭС | FUTFEES09220 | rub | 1 | 1. -| AFU2 | AFLT-9.22 Аэрофлот | FUTAFLT09220 | rub | 1 | 1. -| CHU2 | CHMF-9.22 Северсталь | FUTCHMF09220 | rub | 1 | 1. -| SFM2 | SPYF-6.22 SPDR S&P 500 ETF Trust | FUTSPYF06220 | rub | 1 | -| RNZ2 | ROSN-12.22 Роснефть | FUTROSN12220 | rub | 1 | 1. -| MXH3 | MIX-3.23 Индекс МосБиржи | FUTMIX032300 | rub | 1 | 25. -| RNZ4 | ROSN-12.24 Роснефть | FUTROSN12240 | rub | 1 | 1. -| MXH2 | MIX-3.22 Индекс МосБиржи | FUTMIX032200 | rub | 1 | -| MMU4 | MXI-9.24 Индекс МосБиржи (мини) | FUTMXI092400 | rub | 1 | 0.05 -| VIG2 | RVI-2.22 Волатильность российского рынка | FUTRVI022200 | rub | 1 | -| SiM3 | Si-6.23 Курс доллар - рубль | FUTSI0623000 | rub | 1 | 1. -| YNH2 | YNDF-3.22 Яндекс | FUTYNDF03220 | rub | 1 | -| MNZ2 | MGNT-12.22 Магнит | FUTMGNT12220 | rub | 1 | 1. -| NGJ2 | NG-4.22 Природный газ | FUTNG0422000 | rub | 1 | -| RNM2 | ROSN-6.22 Роснефть | FUTROSN06220 | rub | 1 | -| RNM4 | ROSN-6.24 Роснефть | FUTROSN06240 | rub | 1 | 1. -| NGU2 | NG-9.22 Природный газ | FUTNG0922000 | rub | 1 | 0.001 -| IRM2 | IRAO-6.22 Интер РАО ЕЭС | FUTIRAO06220 | rub | 1 | -| USDRUBF | USDRUBF Доллар - Рубль | FUTUSDRUBF00 | rub | 1 | 0.01 -| NlK2 | Nl-5.22 Никель | FUTNL0522000 | rub | 1 | -| EDM2 | ED-6.22 Курс евро - доллар | FUTED0622000 | rub | 1 | -| HYU2 | HYDR-9.22 РусГидро | FUTHYDR09220 | rub | 1 | 1. -| DYU2 | DSKY-9.22 Детский мир | FUTDSKY09220 | rub | 1 | 1. -| BRG3 | BR-2.23 Нефть Brent | FUTBR0223000 | rub | 1 | 0.01 -| EuZ2 | Eu-12.22 Курс евро - рубль | FUTEU1222000 | rub | 1 | 1. -| AFH2 | AFLT-3.22 Аэрофлот | FUTAFLT03220 | rub | 1 | -| SAN2 | SUGR-7.22 Сахар | FUTSUGR07220 | rub | 1 | -| CRZ2 | CNY-12.22 Курс Юань - Рубль | FUTCNY122200 | rub | 1 | 0.01 -| RBU2 | RGBI-9.22 Индекс Государственных облигаций | FUTRGBI09220 | rub | 1 | 1. -| REU2 | RSTI-9.22 Российские сети (обыкновенные) | FUTRSTI09220 | rub | 1 | 1. -| NlM2 | Nl-6.22 Никель | FUTNL0622000 | rub | 1 | -| LKH2 | LKOH-3.22 Лукойл | FUTLKOH03220 | rub | 1 | -| FVU2 | FIVE-9.22 X5 RetailGroup | FUTFIVE09220 | rub | 1 | 1. -| SiM2 | Si-6.22 Курс доллар - рубль | BBG00VHGV1J0 | rub | 1 | -| EuH3 | Eu-3.23 Курс евро - рубль | FUTEU0323000 | rub | 1 | 1. -| VIK2 | RVI-5.22 Волатильность российского рынка | FUTRVI052200 | rub | 1 | -| ALM2 | ALRS-6.22 Алроса | FUTALRS06220 | rub | 1 | -| TNU2 | TRNF-9.22 Транснефть (привилегированные) | FUTTRNF09220 | rub | 1 | 1. -| BRJ2 | BR-4.22 Нефть Brent | FUTBR0422000 | rub | 1 | -| BRX2 | BR-11.22 Нефть Brent | FUTBR1122000 | rub | 1 | 0.01 -| SGU2 | SNGP-9.22 Сургутнефтегаз (привилегированные) | FUTSNGP09220 | rub | 1 | 1. -| GZU4 | GAZR-9.24 Газпром | FUTGAZR09240 | rub | 1 | 1. -| MNU2 | MGNT-9.22 Магнит | FUTMGNT09220 | rub | 1 | 1. -| GZU2 | GAZR-9.22 Газпром | FUTGAZR09220 | rub | 1 | 1. -| SRU2 | SBRF-9.22 Сбер Банк (обыкновенные) | FUTSBRF09220 | rub | 1 | 1. -| CFH2 | UCHF-3.22 Курс доллар США - Швейцарский франк | FUTUCHF03220 | rub | 1 | -| PZM2 | PLZL-6.22 Полюс Золото | FUTPLZL06220 | rub | 1 | -| SGH2 | SNGP-3.22 Сургутнефтегаз (привилегированные) | FUTSNGP03220 | rub | 1 | -| ALH2 | ALRS-3.22 Алроса | FUTALRS03220 | rub | 1 | -| NlG2 | Nl-2.22 Никель | FUTNL0222000 | rub | 1 | -| CRM2 | CNY-6.22 Курс Юань - Рубль | FUTCNY062200 | rub | 1 | -| OGU2 | OGI-9.22 Индекс Нефти и газа | FUTOGI092200 | rub | 1 | 1. -| SiH2 | Si-3.22 Курс доллар - рубль | BBG00SF88HL5 | rub | 1 | -| POM2 | POLY-6.22 Polymetal | FUTPOLY06220 | rub | 1 | -| TTZ2 | TATN-12.22 Татнефть | FUTTATN12220 | rub | 1 | 1. -| BRJ3 | BR-4.23 Нефть Brent | FUTBR0423000 | rub | 1 | 0.01 -| RLU2 | RUAL-9.22 РУСАЛ | FUTRUAL09220 | rub | 1 | 1. -| MAM2 | MMI-6.22 Индекс Металлов и добычи | FUTMMI062200 | rub | 1 | -| RIZ2 | RTS-12.22 Индекс РТС | FUTRTS122200 | rub | 1 | 10. -| BRF3 | BR-1.23 Нефть Brent | FUTBR0123000 | rub | 1 | 0.01 -| CSU2 | CNI-9.22 Индекс Потребительского сектора | FUTCNI092200 | rub | 1 | 1. -| NKM2 | NOTK-6.22 Новатэк | FUTNOTK06220 | rub | 1 | -| TTM2 | TATN-6.22 Татнефть | FUTTATN06220 | rub | 1 | -| OGM2 | OGI-6.22 Индекс Нефти и газа | FUTOGI062200 | rub | 1 | 1. -| GZH5 | GAZR-3.25 Газпром | FUTGAZR03250 | rub | 1 | 1. -| SRH3 | SBRF-3.23 Сбер Банк (обыкновенные) | FUTSBRF03230 | rub | 1 | 1. -| GZH3 | GAZR-3.23 Газпром | FUTGAZR03230 | rub | 1 | 1. -| NMM2 | NLMK-6.22 НЛМК | FUTNLMK06220 | rub | 1 | -| PTU2 | PLT-9.22 Платина | FUTPLT092200 | rub | 1 | 0.1 -| SRH2 | SBRF-3.22 Сбер Банк (обыкновенные) | FUTSBRF03220 | rub | 1 | -| CoM2 | Co-6.22 Медь | FUTCO0622000 | rub | 1 | -| NGM2 | NG-6.22 Природный газ | FUTNG0622000 | rub | 1 | -| RIH2 | RTS-3.22 Индекс РТС | FUTRTS032200 | rub | 1 | -| MXZ2 | MIX-12.22 Индекс МосБиржи | FUTMIX122200 | rub | 1 | 25. -| GZH2 | GAZR-3.22 Газпром | FUTGAZR03220 | rub | 1 | -| NGH2 | NG-3.22 Природный газ | FUTNG0322000 | rub | 1 | -| PDH2 | PLD-3.22 Палладий | FUTPLD032200 | rub | 1 | -| SFH2 | SPYF-3.22 SPDR S&P 500 ETF Trust | FUTSPYF03220 | rub | 1 | -| NMZ2 | NLMK-12.22 НЛМК | FUTNLMK12220 | rub | 1 | 1. -| CRU2 | CNY-9.22 Курс Юань - Рубль | FUTCNY092200 | rub | 1 | 0.01 -| SSH2 | SMLT-3.22 ГК Самолет | FUTSMLT03220 | rub | 1 | -| RIZ3 | RTS-12.23 Индекс РТС | FUTRTS122300 | rub | 1 | 10. -| RMM2 | RTSM-6.22 Индекс РТС (мини) | FUTRTSM06220 | rub | 1 | 0.5 -| VBU2 | VTBR-9.22 ВТБ | FUTVTBR09220 | rub | 1 | 1. -| MTM2 | MTSI-6.22 МТС | FUTMTSI06220 | rub | 1 | 1. -| MAU2 | MMI-9.22 Индекс Металлов и добычи | FUTMMI092200 | rub | 1 | 1. -| RLH2 | RUAL-3.22 РУСАЛ | FUTRUAL03220 | rub | 1 | -| GKH2 | GMKN-3.22 Норильский никель | FUTGMKN03220 | rub | 1 | -| SOM2 | SIBN-6.22 Газпром нефть | FUTSIBN06220 | rub | 1 | -| EDU2 | ED-9.22 Курс евро - доллар | FUTED0922000 | rub | 1 | 0.0001 -| CAH2 | UCAD-3.22 Курс Доллар США - Канадский доллар | FUTUCAD03220 | rub | 1 | -| HOM2 | HOME-6.22 Индекс московской недвижимости | FUTHOME06220 | rub | 1 | -| BRM2 | BR-6.22 Нефть Brent | FUTBR0622000 | rub | 1 | -| CHM2 | CHMF-6.22 Северсталь | FUTCHMF06220 | rub | 1 | -| GDZ2 | GOLD-12.22 Золото | FUTGOLD12220 | rub | 1 | 0.1 -| PIU2 | PIKK-9.22 ПИК | FUTPIKK09220 | rub | 1 | 1. -| RIH3 | RTS-3.23 Индекс РТС | FUTRTS032300 | rub | 1 | 10. -| PDZ2 | PLD-12.22 Палладий | FUTPLD122200 | rub | 1 | 0.01 -| MCH2 | MTLR-3.22 Мечел (обыкновенные) | FUTMTLR03220 | rub | 1 | -| PTM2 | PLT-6.22 Платина | FUTPLT062200 | rub | 1 | -| EuH2 | Eu-3.22 Курс евро - рубль | BBG00X869ZD4 | rub | 1 | -| PTZ2 | PLT-12.22 Платина | FUTPLT122200 | rub | 1 | 0.1 -| AKM2 | AFKS-6.22 АФК Система (обыкновенные) | FUTAFKS06220 | rub | 1 | 1. -| CoQ2 | Co-8.22 Медь | FUTCO0822000 | rub | 1 | 0.5 -| RTM2 | RTKM-6.22 Ростелеком | FUTRTKM06220 | rub | 1 | -| MXU2 | MIX-9.22 Индекс МосБиржи | FUTMIX092200 | rub | 1 | 25. -| AUH2 | AUDU-3.22 Курс Австралийский доллар - Доллар США | FUTAUDU03220 | rub | 1 | -| MCU2 | MTLR-9.22 Мечел (обыкновенные) | FUTMTLR09220 | rub | 1 | 1. -| PIH2 | PIKK-3.22 ПИК | FUTPIKK03220 | rub | 1 | -| SPM2 | SBPR-6.22 Сбер Банк (привилегированные) | FUTSBPR06220 | rub | 1 | -| RIM2 | RTS-6.22 Индекс РТС | FUTRTS062200 | rub | 1 | -| VIH2 | RVI-3.22 Волатильность российского рынка | FUTRVI032200 | rub | 1 | -| EuM3 | Eu-6.23 Курс евро - рубль | FUTEU0623000 | rub | 1 | 1. -| FNU2 | FNI-9.22 Индекс Финансов | FUTFNI092200 | rub | 1 | 1. -| PDM2 | PLD-6.22 Палладий | FUTPLD062200 | rub | 1 | -| GKU2 | GMKN-9.22 Норильский никель | FUTGMKN09220 | rub | 1 | 1. -| SVZ2 | SILV-12.22 Серебро | FUTSILV12220 | rub | 1 | 0.01 -| VBH2 | VTBR-3.22 ВТБ | FUTVTBR03220 | rub | 1 | +| Ticker | Full name | FIGI | Cur | Lot | Step | +|--------------|-----------------------------------------------------------|--------------|-----|---------|------------| +| SFU2 | SPYF-9.22 S&P 500 | FUTSPYF09220 | rub | 1 | 0.01 | +| SGM2 | SNGP-6.22 Сургутнефтегаз (привилегированные) | FUTSNGP06220 | rub | 1 | 1 | +| ALZ2 | ALRS-12.22 Алроса | FUTALRS12220 | rub | 1 | 1 | +| NMM2 | NLMK-6.22 НЛМК | FUTNLMK06220 | rub | 1 | 0 | +| SNU2 | SNGR-9.22 Сургутнефтегаз (обыкновенные) | FUTSNGR09220 | rub | 1 | 1 | +| SiM4 | Si-6.24 Курс доллар - рубль | FUTSI0624000 | rub | 1 | 1 | +| NGH2 | NG-3.22 Природный газ | FUTNG0322000 | rub | 1 | 0 | +| MTZ2 | MTSI-12.22 МТС | FUTMTSI12220 | rub | 1 | 1 | +| VIU2 | RVI-9.22 Волатильность российского рынка | FUTRVI092200 | rub | 1 | 0.05 | +| RBM2 | RGBI-6.22 Индекс Государственных облигаций | FUTRGBI06220 | rub | 1 | 1 | +| HYM2 | HYDR-6.22 РусГидро | FUTHYDR06220 | rub | 1 | 0 | +| VIF2 | RVI-1.22 Волатильность российского рынка | FUTRVI012200 | rub | 1 | 0 | +| PZU2 | PLZL-9.22 Полюс Золото | FUTPLZL09220 | rub | 1 | 1 | +| AKM2 | AFKS-6.22 АФК Система (обыкновенные) | FUTAFKS06220 | rub | 1 | 0 | +| DYH2 | DSKY-3.22 Детский мир | FUTDSKY03220 | rub | 1 | 1 | +| TTU2 | TATN-9.22 Татнефть | FUTTATN09220 | rub | 1 | 1 | +| MAU2 | MMI-9.22 Индекс Металлов и добычи | FUTMMI092200 | rub | 1 | 1 | +| RIM3 | RTS-6.23 Индекс РТС | FUTRTS062300 | rub | 1 | 10 | +| AUZ2 | AUDU-12.22 Курс Австралийский доллар - Доллар США | FUTAUDU12220 | rub | 1 | 0.0001 | +| NlJ2 | Nl-4.22 Никель | FUTNL0422000 | rub | 1 | 5 | +| MMU4 | MXI-9.24 Индекс МосБиржи (мини) | FUTMXI092400 | rub | 1 | 0.05 | +| MCH2 | MTLR-3.22 Мечел (обыкновенные) | FUTMTLR03220 | rub | 1 | 0 | +| LKM2 | LKOH-6.22 Лукойл | FUTLKOH06220 | rub | 1 | 0 | +| AFH2 | AFLT-3.22 Аэрофлот | FUTAFLT03220 | rub | 1 | 0 | +| GKZ2 | GMKN-12.22 Норильский никель | FUTGMKN12220 | rub | 1 | 1 | +| CoK2 | Co-5.22 Медь | FUTCO0522000 | rub | 1 | 0 | +| SPM2 | SBPR-6.22 Сбер Банк (привилегированные) | FUTSBPR06220 | rub | 1 | 1 | +| GZM3 | GAZR-6.23 Газпром | FUTGAZR06230 | rub | 1 | 1 | +| SOM2 | SIBN-6.22 Газпром нефть | FUTSIBN06220 | rub | 1 | 0 | +| AFM2 | AFLT-6.22 Аэрофлот | FUTAFLT06220 | rub | 1 | 0 | +| PZM2 | PLZL-6.22 Полюс Золото | FUTPLZL06220 | rub | 1 | 1 | +| CHU2 | CHMF-9.22 Северсталь | FUTCHMF09220 | rub | 1 | 1 | +| MXH2 | MIX-3.22 Индекс МосБиржи | FUTMIX032200 | rub | 1 | 0 | +| MMM3 | MXI-6.23 Индекс МосБиржи (мини) | FUTMXI062300 | rub | 1 | 0.05 | +| AKU2 | AFKS-9.22 АФК Система | FUTAFKS09220 | rub | 1 | 1 | +| MCZ2 | MTLR-12.22 Мечел | FUTMTLR12220 | rub | 1 | 1 | +| NlU2 | Nl-9.22 Никель | FUTNL0922000 | rub | 1 | 5 | +| BRF3 | BR-1.23 Нефть Brent | FUTBR0123000 | rub | 1 | 0.01 | +| SiH4 | Si-3.24 Курс доллар - рубль | FUTSI0324000 | rub | 1 | 1 | +| NGG2 | NG-2.22 Природный газ | FUTNG0222000 | rub | 1 | 0 | +| VIQ2 | RVI-8.22 Волатильность российского рынка | FUTRVI082200 | rub | 1 | 0.05 | +| PIH2 | PIKK-3.22 ПИК | FUTPIKK03220 | rub | 1 | 0 | +| PIU2 | PIKK-9.22 ПИК | FUTPIKK09220 | rub | 1 | 1 | +| SVZ2 | SILV-12.22 Серебро | FUTSILV12220 | rub | 1 | 0.01 | +| VBU2 | VTBR-9.22 ВТБ | FUTVTBR09220 | rub | 1 | 1 | +| AUU2 | AUDU-9.22 Курс Австралийский доллар - Доллар США | FUTAUDU09220 | rub | 1 | 0.0001 | +| POU2 | POLY-9.22 Polymetal | FUTPOLY09220 | rub | 1 | 1 | +| GUH2 | GBPU-3.22 Курс Фунт стерлингов - Доллар | FUTGBPU03220 | rub | 1 | 0 | +| NlQ2 | Nl-8.22 Никель | FUTNL0822000 | rub | 1 | 5 | +| RNH5 | ROSN-3.25 Роснефть | FUTROSN03250 | rub | 1 | 1 | +| MMZ4 | MXI-12.24 Индекс МосБиржи (мини) | FUTMXI122400 | rub | 1 | 0.05 | +| TNM2 | TRNF-6.22 Транснефть (привилегированные) | FUTTRNF06220 | rub | 1 | 0 | +| RIM2 | RTS-6.22 Индекс РТС | FUTRTS062200 | rub | 1 | 0 | +| RNU5 | ROSN-9.25 Роснефть | FUTROSN09250 | rub | 1 | 1 | +| BRV2 | BR-10.22 Нефть Brent | FUTBR1022000 | rub | 1 | 0.01 | +| RTZ2 | RTKM-12.22 Ростелеком | FUTRTKM12220 | rub | 1 | 1 | +| BRH2 | BR-3.22 Нефть Brent | FUTBR0322000 | rub | 1 | 0 | +| AKZ2 | AFKS-12.22 АФК Система | FUTAFKS12220 | rub | 1 | 1 | +| EuU3 | Eu-9.23 Курс евро - рубль | FUTEU0923000 | rub | 1 | 1 | +| MEZ2 | MOEX-12.22 Московская биржа | FUTMOEX12220 | rub | 1 | 1 | +| MLM2 | MAIL-6.22 VK | FUTMAIL06220 | rub | 1 | 0 | +| OGZ2 | OGI-12.22 Индекс Нефти и газа | FUTOGI122200 | rub | 1 | 1 | +| GDM2 | GOLD-6.22 Золото | FUTGOLD06220 | rub | 1 | 0.1 | +| NKU2 | NOTK-9.22 Новатэк | FUTNOTK09220 | rub | 1 | 1 | +| EuZ3 | Eu-12.23 Курс евро - рубль | FUTEU1223000 | rub | 1 | 1 | +| SRZ2 | SBRF-12.22 Сбер Банк (обыкновенные) | FUTSBRF12220 | rub | 1 | 1 | +| VBZ2 | VTBR-12.22 ВТБ | FUTVTBR12220 | rub | 1 | 1 | +| SVM3 | SILV-6.23 Серебро | FUTSILV06230 | rub | 1 | 0.01 | +| MNU2 | MGNT-9.22 Магнит | FUTMGNT09220 | rub | 1 | 1 | +| NMZ2 | NLMK-12.22 НЛМК | FUTNLMK12220 | rub | 1 | 1 | +| MXM3 | MIX-6.23 Индекс МосБиржи | FUTMIX062300 | rub | 1 | 25 | +| OZU2 | OZON-9.22 Озон | FUTOZON09220 | rub | 1 | 1 | +| BRX2 | BR-11.22 Нефть Brent | FUTBR1122000 | rub | 1 | 0.01 | +| RNM3 | ROSN-6.23 Роснефть | FUTROSN06230 | rub | 1 | 1 | +| YNU2 | YNDF-9.22 Яндекс | FUTYNDF09220 | rub | 1 | 1 | +| RTH2 | RTKM-3.22 Ростелеком | FUTRTKM03220 | rub | 1 | 0 | +| GUZ2 | GBPU-12.22 Курс Фунт стерлингов - Доллар | FUTGBPU12220 | rub | 1 | 0.0001 | +| PTH3 | PLT-3.23 Платина | FUTPLT032300 | rub | 1 | 0.1 | +| SSH2 | SMLT-3.22 ГК Самолет | FUTSMLT03220 | rub | 1 | 1 | +| SNM2 | SNGR-6.22 Сургутнефтегаз | FUTSNGR06220 | rub | 1 | 1 | +| SFM3 | SPYF-6.23 S&P 500 | FUTSPYF06230 | rub | 1 | 0.01 | +| RIU3 | RTS-9.23 Индекс РТС | FUTRTS092300 | rub | 1 | 10 | +| SSM2 | SMLT-6.22 ГК Самолет | FUTSMLT06220 | rub | 1 | 1 | +| BRM3 | BR-6.23 Нефть Brent | FUTBR0623000 | rub | 1 | 0.01 | +| GZH5 | GAZR-3.25 Газпром | FUTGAZR03250 | rub | 1 | 1 | +| GKM2 | GMKN-6.22 Норильский никель | FUTGMKN06220 | rub | 1 | 0 | +| GZM4 | GAZR-6.24 Газпром | FUTGAZR06240 | rub | 1 | 1 | +| MTU2 | MTSI-9.22 МТС | FUTMTSI09220 | rub | 1 | 1 | +| GDZ2 | GOLD-12.22 Золото | FUTGOLD12220 | rub | 1 | 0.1 | +| REU2 | RSTI-9.22 Российские сети | FUTRSTI09220 | rub | 1 | 1 | +| EuH2 | Eu-3.22 Курс евро - рубль | BBG00X869ZD4 | rub | 1 | 0 | +| NGQ2 | NG-8.22 Природный газ | FUTNG0822000 | rub | 1 | 0.001 | +| HYU2 | HYDR-9.22 РусГидро | FUTHYDR09220 | rub | 1 | 1 | +| GDM3 | GOLD-6.23 Золото | FUTGOLD06230 | rub | 1 | 0.1 | +| MMU2 | MXI-9.22 Индекс МосБиржи (мини) | FUTMXI092200 | rub | 1 | 0.05 | +| SVM2 | SILV-6.22 Серебро | FUTSILV06220 | rub | 1 | 0 | +| CHZ2 | CHMF-12.22 Северсталь | FUTCHMF12220 | rub | 1 | 1 | +| MLU2 | MAIL-9.22 VK | FUTMAIL09220 | rub | 1 | 1 | +| BRJ2 | BR-4.22 Нефть Brent | FUTBR0422000 | rub | 1 | 0 | +| RSU2 | RTSS-9.22 Индекс голубых фишек | FUTRTSS09220 | rub | 1 | 1 | +| BRG2 | BR-2.22 Нефть Brent | FUTBR0222000 | rub | 1 | 0 | +| MGU2 | MAGN-9.22 ММК | FUTMAGN09220 | rub | 1 | 1 | +| SPH2 | SBPR-3.22 Сбер Банк (привилегированные) | FUTSBPR03220 | rub | 1 | 0 | +| USDRUBF | USDRUBF Доллар - Рубль | FUTUSDRUBF00 | rub | 1 | 0.01 | +| EURRUBF | EURRUBF Евро - Рубль | FUTEURRUBF00 | rub | 1 | 0.01 | +| MMU5 | MXI-9.25 Индекс МосБиржи (мини) | FUTMXI092500 | rub | 1 | 0.05 | +| MNZ2 | MGNT-12.22 Магнит | FUTMGNT12220 | rub | 1 | 1 | +| MMH5 | MXI-3.25 Индекс МосБиржи (мини) | FUTMXI032500 | rub | 1 | 0.05 | +| NAM3 | NASD-6.23 Nasdaq 100 | FUTNASD06230 | rub | 1 | 1 | +| RNU4 | ROSN-9.24 Роснефть | FUTROSN09240 | rub | 1 | 1 | +| LKM3 | LKOH-6.23 Лукойл | FUTLKOH06230 | rub | 1 | 1 | +| VIM2 | RVI-6.22 Волатильность российского рынка | FUTRVI062200 | rub | 1 | 0 | +| RNZ2 | ROSN-12.22 Роснефть | FUTROSN12220 | rub | 1 | 1 | +| MMZ2 | MXI-12.22 Индекс МосБиржи (мини) | FUTMXI122200 | rub | 1 | 0.05 | +| JPH2 | UJPY-3.22 Курс доллар США - Японская йена | FUTUJPY03220 | rub | 1 | 0 | +| AUM2 | AUDU-6.22 Курс Австралийский доллар - Доллар США | FUTAUDU06220 | rub | 1 | 0.0001 | +| SFM2 | SPYF-6.22 SPDR S&P 500 ETF Trust | FUTSPYF06220 | rub | 1 | 0 | +| RIM4 | RTS-6.24 Индекс РТС | FUTRTS062400 | rub | 1 | 10 | +| MMM2 | MXI-6.22 Индекс МосБиржи (мини) | FUTMXI062200 | rub | 1 | 0 | +| NAU3 | NASD-9.23 Nasdaq 100 | FUTNASD09230 | rub | 1 | 1 | +| CAH2 | UCAD-3.22 Курс Доллар США - Канадский доллар | FUTUCAD03220 | rub | 1 | 0 | +| ALU2 | ALRS-9.22 Алроса | FUTALRS09220 | rub | 1 | 1 | +| CHM2 | CHMF-6.22 Северсталь | FUTCHMF06220 | rub | 1 | 0 | +| W4U2 | WHEAT-9.22 Индекс Пшеницы | FUTWHEA09220 | rub | 1 | 10 | +| LKZ2 | LKOH-12.22 Лукойл | FUTLKOH12220 | rub | 1 | 1 | +| NAZ2 | NASD-12.22 Nasdaq 100 | FUTNASD12220 | rub | 1 | 1 | +| YNM2 | YNDF-6.22 Яндекс | FUTYNDF06220 | rub | 1 | 1 | +| MTM2 | MTSI-6.22 МТС | FUTMTSI06220 | rub | 1 | 0 | +| CSZ2 | CNI-12.22 Индекс Потребительского сектора | FUTCNI122200 | rub | 1 | 1 | +| PTU2 | PLT-9.22 Платина | FUTPLT092200 | rub | 1 | 0.1 | +| RLZ2 | RUAL-12.22 РУСАЛ | FUTRUAL12220 | rub | 1 | 1 | +| PHU2 | PHOR-9.22 ФосАгро | FUTPHOR09220 | rub | 1 | 1 | +| CAU2 | UCAD-9.22 Курс Доллар США - Канадский доллар | FUTUCAD09220 | rub | 1 | 0.0001 | +| GUM2 | GBPU-6.22 Курс Фунт стерлингов - Доллар | FUTGBPU06220 | rub | 1 | 0 | +| IRH2 | IRAO-3.22 Интер РАО ЕЭС | FUTIRAO03220 | rub | 1 | 1 | +| SAN2 | SUGR-7.22 Сахар | FUTSUGR07220 | rub | 1 | 0.01 | +| CoN2 | Co-7.22 Медь | FUTCO0722000 | rub | 1 | 0 | +| YNH2 | YNDF-3.22 Яндекс | FUTYNDF03220 | rub | 1 | 0 | +| RIZ2 | RTS-12.22 Индекс РТС | FUTRTS122200 | rub | 1 | 10 | +| RNZ4 | ROSN-12.24 Роснефть | FUTROSN12240 | rub | 1 | 1 | +| MNH2 | MGNT-3.22 Магнит | FUTMGNT03220 | rub | 1 | 0 | +| PDH3 | PLD-3.23 Палладий | FUTPLD032300 | rub | 1 | 0.01 | +| PTM2 | PLT-6.22 Платина | FUTPLT062200 | rub | 1 | 0.1 | +| RIZ3 | RTS-12.23 Индекс РТС | FUTRTS122300 | rub | 1 | 10 | +| SRH3 | SBRF-3.23 Сбер Банк (обыкновенные) | FUTSBRF03230 | rub | 1 | 1 | +| MEM2 | MOEX-6.22 Московская биржа | FUTMOEX06220 | rub | 1 | 0 | +| SiH3 | Si-3.23 Курс доллар - рубль | FUTSI0323000 | rub | 1 | 1 | +| FSM2 | FEES-6.22 ФСК ЕЭС | FUTFEES06220 | rub | 1 | 1 | +| SRM2 | SBRF-6.22 Сбер Банк (обыкновенные) | FUTSBRF06220 | rub | 1 | 0 | +| FNU2 | FNI-9.22 Индекс Финансов | FUTFNI092200 | rub | 1 | 1 | +| LKH2 | LKOH-3.22 Лукойл | FUTLKOH03220 | rub | 1 | 0 | +| SNH2 | SNGR-3.22 Сургутнефтегаз | FUTSNGR03220 | rub | 1 | 0 | +| EDH2 | ED-3.22 Курс евро - доллар | FUTED0322000 | rub | 1 | 0 | +| PHM2 | PHOR-6.22 ФосАгро | FUTPHOR06220 | rub | 1 | 1 | +| RMH2 | RTSM-3.22 Индекс РТС (мини) | FUTRTSM03220 | rub | 1 | 0 | +| EDH3 | ED-3.23 Курс евро-доллар | FUTED0323000 | rub | 1 | 0.0001 | +| CFH2 | UCHF-3.22 Курс доллар США - Швейцарский франк | FUTUCHF03220 | rub | 1 | 0.0001 | +| GDH3 | GOLD-3.23 Золото | FUTGOLD03230 | rub | 1 | 0.1 | +| CAM2 | UCAD-6.22 Курс Доллар США - Канадский доллар | FUTUCAD06220 | rub | 1 | 0.0001 | +| VIK2 | RVI-5.22 Волатильность российского рынка | FUTRVI052200 | rub | 1 | 0 | +| W4V2 | WHEAT-10.22 Индекс Пшеницы | FUTWHEA10220 | rub | 1 | 10 | +| GZH3 | GAZR-3.23 Газпром | FUTGAZR03230 | rub | 1 | 1 | +| CSU2 | CNI-9.22 Индекс Потребительского сектора | FUTCNI092200 | rub | 1 | 1 | +| TTM2 | TATN-6.22 Татнефть | FUTTATN06220 | rub | 1 | 1 | +| MXZ2 | MIX-12.22 Индекс МосБиржи | FUTMIX122200 | rub | 1 | 25 | +| YNZ2 | YNDF-12.22 Яндекс | FUTYNDF12220 | rub | 1 | 1 | +| RMM3 | RTSM-6.23 Индекс РТС (мини) | FUTRTSM06230 | rub | 1 | 0.5 | +| RNM4 | ROSN-6.24 Роснефть | FUTROSN06240 | rub | 1 | 1 | +| DYZ2 | DSKY-12.22 Детский мир | FUTDSKY12220 | rub | 1 | 1 | +| HOH2 | HOME-3.22 Индекс московской недвижимости | FUTHOME03220 | rub | 1 | 10 | +| SRM3 | SBRF-6.23 Сбер Банк (обыкновенные) | FUTSBRF06230 | rub | 1 | 1 | +| EuM2 | Eu-6.22 Курс евро - рубль | BBG00YHPF166 | rub | 1 | 0 | +| EDU2 | ED-9.22 Курс евро - доллар | FUTED0922000 | rub | 1 | 0.0001 | +| PHZ2 | PHOR-12.22 ФосАгро | FUTPHOR12220 | rub | 1 | 1 | +| OGU2 | OGI-9.22 Индекс Нефти и газа | FUTOGI092200 | rub | 1 | 1 | +| REZ2 | RSTI-12.22 Российские сети | FUTRSTI12220 | rub | 1 | 1 | +| BRJ3 | BR-4.23 Нефть Brent | FUTBR0423000 | rub | 1 | 0.01 | +| AFU2 | AFLT-9.22 Аэрофлот | FUTAFLT09220 | rub | 1 | 1 | +| RNU2 | ROSN-9.22 Роснефть | FUTROSN09220 | rub | 1 | 1 | +| NGV2 | NG-10.22 Природный газ | FUTNG1022000 | rub | 1 | 0.001 | +| SGZ2 | SNGP-12.22 Сургутнефтегаз (привилегированные) | FUTSNGP12220 | rub | 1 | 1 | +| RLH2 | RUAL-3.22 РУСАЛ | FUTRUAL03220 | rub | 1 | 1 | +| FVZ2 | FIVE-12.22 X5 RetailGroup | FUTFIVE12220 | rub | 1 | 1 | +| IRZ2 | IRAO-12.22 Интер РАО ЕЭС | FUTIRAO12220 | rub | 1 | 1 | +| RLU2 | RUAL-9.22 РУСАЛ | FUTRUAL09220 | rub | 1 | 1 | +| MEU2 | MOEX-9.22 Московская биржа | FUTMOEX09220 | rub | 1 | 1 | +| TTH2 | TATN-3.22 Татнефть | FUTTATN03220 | rub | 1 | 1 | +| ALM2 | ALRS-6.22 Алроса | FUTALRS06220 | rub | 1 | 0 | +| REM2 | RSTI-6.22 Российские сети (обыкновенные) | FUTRSTI06220 | rub | 1 | 0 | +| SOU2 | SIBN-9.22 Газпром нефть | FUTSIBN09220 | rub | 1 | 1 | +| RNM2 | ROSN-6.22 Роснефть | FUTROSN06220 | rub | 1 | 0 | +| GZH2 | GAZR-3.22 Газпром | FUTGAZR03220 | rub | 1 | 1 | +| SRU2 | SBRF-9.22 Сбер Банк (обыкновенные) | FUTSBRF09220 | rub | 1 | 1 | +| EuH3 | Eu-3.23 Курс евро - рубль | FUTEU0323000 | rub | 1 | 1 | +| LKH3 | LKOH-3.23 Лукойл | FUTLKOH03230 | rub | 1 | 1 | +| RIU2 | RTS-9.22 Индекс РТС | FUTRTS092200 | rub | 1 | 10 | +| NAH3 | NASD-3.23 Nasdaq 100 | FUTNASD03230 | rub | 1 | 1 | +| PDM2 | PLD-6.22 Палладий | FUTPLD062200 | rub | 1 | 0 | +| MCU2 | MTLR-9.22 Мечел | FUTMTLR09220 | rub | 1 | 1 | +| VIG2 | RVI-2.22 Волатильность российского рынка | FUTRVI022200 | rub | 1 | 0.05 | +| NlG2 | Nl-2.22 Никель | FUTNL0222000 | rub | 1 | 0 | +| POZ2 | POLY-12.22 Polymetal | FUTPOLY12220 | rub | 1 | 1 | +| GKU2 | GMKN-9.22 Норильский никель | FUTGMKN09220 | rub | 1 | 1 | +| PTZ2 | PLT-12.22 Платина | FUTPLT122200 | rub | 1 | 0.1 | +| MGM2 | MAGN-6.22 ММК | FUTMAGN06220 | rub | 1 | 0 | +| LKU2 | LKOH-9.22 Лукойл | FUTLKOH09220 | rub | 1 | 1 | +| NlV2 | Nl-10.22 Никель | FUTNL1022000 | rub | 1 | 5 | +| EuM3 | Eu-6.23 Курс евро - рубль | FUTEU0623000 | rub | 1 | 1 | +| SSU2 | SMLT-9.22 ГК Самолет | FUTSMLT09220 | rub | 1 | 1 | +| SFH3 | SPYF-3.23 S&P 500 | FUTSPYF03230 | rub | 1 | 0.01 | +| PDZ2 | PLD-12.22 Палладий | FUTPLD122200 | rub | 1 | 0.01 | +| NGF3 | NG-1.23 Природный газ | FUTNG0123000 | rub | 1 | 0.001 | +| CAZ2 | UCAD-12.22 Курс Доллар США - Канадский доллар | FUTUCAD12220 | rub | 1 | 0.0001 | +| JPM2 | UJPY-6.22 Курс доллар США - Японская йена | FUTUJPY06220 | rub | 1 | 0 | +| TTZ2 | TATN-12.22 Татнефть | FUTTATN12220 | rub | 1 | 1 | +| RSM2 | RTSS-6.22 Индекс голубых фишек | FUTRTSS06220 | rub | 1 | 0 | +| SiH2 | Si-3.22 Курс доллар - рубль | BBG00SF88HL5 | rub | 1 | 0 | +| IRM2 | IRAO-6.22 Интер РАО ЕЭС | FUTIRAO06220 | rub | 1 | 1 | +| DYU2 | DSKY-9.22 Детский мир | FUTDSKY09220 | rub | 1 | 1 | +| MMH3 | MXI-3.23 Индекс МосБиржи (мини) | FUTMXI032300 | rub | 1 | 0.05 | +| NMH2 | NLMK-3.22 НЛМК | FUTNLMK03220 | rub | 1 | 0 | +| NlH2 | Nl-3.22 Никель | FUTNL0322000 | rub | 1 | 5 | +| SiZ3 | Si-12.23 Курс доллар - рубль | FUTSI1223000 | rub | 1 | 1 | +| MLH2 | MAIL-3.22 VK | FUTMAIL03220 | rub | 1 | 0 | +| RMU2 | RTSM-9.22 Индекс РТС (мини) | FUTRTSM09220 | rub | 1 | 0.5 | +| AFZ2 | AFLT-12.22 Аэрофлот | FUTAFLT12220 | rub | 1 | 1 | +| SFH2 | SPYF-3.22 SPDR S&P 500 ETF Trust | FUTSPYF03220 | rub | 1 | 0 | +| EuZ2 | Eu-12.22 Курс евро - рубль | FUTEU1222000 | rub | 1 | 1 | +| CNYRUBF | CNYRUBF Юань - Рубль | FUTCNYRUBF00 | rub | 1 | 0.01 | +| HOZ2 | HOME-12.22 Индекс московской недвижимости | FUTHOME12220 | rub | 1 | 10 | +| RNH2 | ROSN-3.22 Роснефть | FUTROSN03220 | rub | 1 | 0 | +| RIH4 | RTS-3.24 Индекс РТС | FUTRTS032400 | rub | 1 | 10 | +| IRU2 | IRAO-9.22 Интер РАО ЕЭС | FUTIRAO09220 | rub | 1 | 1 | +| HOU2 | HOME-9.22 Индекс московской недвижимости | FUTHOME09220 | rub | 1 | 10 | +| NGJ2 | NG-4.22 Природный газ | FUTNG0422000 | rub | 1 | 0 | +| SFZ2 | SPYF-12.22 S&P 500 | FUTSPYF12220 | rub | 1 | 0.01 | +| SiM3 | Si-6.23 Курс доллар - рубль | FUTSI0623000 | rub | 1 | 1 | +| MEH2 | MOEX-3.22 Московская биржа | FUTMOEX03220 | rub | 1 | 1 | +| MMM4 | MXI-6.24 Индекс МосБиржи (мини) | FUTMXI062400 | rub | 1 | 0.05 | +| MGH2 | MAGN-3.22 ММК | FUTMAGN03220 | rub | 1 | 0 | +| HOM2 | HOME-6.22 Индекс московской недвижимости | FUTHOME06220 | rub | 1 | 0 | +| FNZ2 | FNI-12.22 Индекс Финансов | FUTFNI122200 | rub | 1 | 1 | +| SiU2 | Si-9.22 Курс доллар - рубль | BBG00X86FJ70 | rub | 1 | 1 | +| REH2 | RSTI-3.22 Российские сети (обыкновенные) | FUTRSTI03220 | rub | 1 | 1 | +| NKZ2 | NOTK-12.22 Новатэк | FUTNOTK12220 | rub | 1 | 1 | +| FSZ2 | FEES-12.22 ФСК ЕЭС | FUTFEES12220 | rub | 1 | 1 | +| W4X2 | WHEAT-11.22 Индекс Пшеницы | FUTWHEA11220 | rub | 1 | 10 | +| SPZ2 | SBPR-12.22 Сбер Банк (привилегированные) | FUTSBPR12220 | rub | 1 | 1 | +| BRN2 | BR-7.22 Нефть Brent | FUTBR0722000 | rub | 1 | 0 | +| EDZ2 | ED-12.22 Курс евро-доллар | FUTED1222000 | rub | 1 | 0.0001 | +| NlK2 | Nl-5.22 Никель | FUTNL0522000 | rub | 1 | 0 | +| NGK2 | NG-5.22 Природный газ | FUTNG0522000 | rub | 1 | 0.001 | +| SPU2 | SBPR-9.22 Сбер Банк (привилегированные) | FUTSBPR09220 | rub | 1 | 1 | +| RTU2 | RTKM-9.22 Ростелеком | FUTRTKM09220 | rub | 1 | 1 | +| AUH2 | AUDU-3.22 Курс Австралийский доллар - Доллар США | FUTAUDU03220 | rub | 1 | 0 | +| CoM2 | Co-6.22 Медь | FUTCO0622000 | rub | 1 | 0 | +| TNZ2 | TRNF-12.22 Транснефть (привилегированные) | FUTTRNF12220 | rub | 1 | 1 | +| FSH2 | FEES-3.22 ФСК ЕЭС | FUTFEES03220 | rub | 1 | 0 | +| PDH2 | PLD-3.22 Палладий | FUTPLD032200 | rub | 1 | 0.01 | +| NMU2 | NLMK-9.22 НЛМК | FUTNLMK09220 | rub | 1 | 1 | +| BRK3 | BR-5.23 Нефть Brent | FUTBR0523000 | rub | 1 | 0.01 | +| SiZ2 | Si-12.22 Курс доллар - рубль | BBG00YHPF1H4 | rub | 1 | 1 | +| FVM2 | FIVE-6.22 X5 RetailGroup | FUTFIVE06220 | rub | 1 | 0 | +| NGU2 | NG-9.22 Природный газ | FUTNG0922000 | rub | 1 | 0.001 | +| RTM2 | RTKM-6.22 Ростелеком | FUTRTKM06220 | rub | 1 | 0 | +| OZM2 | OZON-6.22 Озон | FUTOZON06220 | rub | 1 | 0 | +| CSM2 | CNI-6.22 Индекс Потребительского сектора | FUTCNI062200 | rub | 1 | 0 | +| SiU3 | Si-9.23 Курс доллар - рубль | FUTSI0923000 | rub | 1 | 1 | +| VBM2 | VTBR-6.22 ВТБ | FUTVTBR06220 | rub | 1 | 0 | +| MXU2 | MIX-9.22 Индекс МосБиржи | FUTMIX092200 | rub | 1 | 25 | +| GZU5 | GAZR-9.25 Газпром | FUTGAZR09250 | rub | 1 | 1 | +| GDU2 | GOLD-9.22 Золото | FUTGOLD09220 | rub | 1 | 0.1 | +| DYM2 | DSKY-6.22 Детский мир | FUTDSKY06220 | rub | 1 | 0 | +| POH2 | POLY-3.22 Polymetal | FUTPOLY03220 | rub | 1 | 1 | +| SSZ2 | SMLT-12.22 ГК Самолет | FUTSMLT12220 | rub | 1 | 1 | +| CoU2 | Co-9.22 Медь | FUTCO0922000 | rub | 1 | 0.5 | +| NlM2 | Nl-6.22 Никель | FUTNL0622000 | rub | 1 | 0 | +| NKM2 | NOTK-6.22 Новатэк | FUTNOTK06220 | rub | 1 | 1 | +| MMH2 | MXI-3.22 Индекс МосБиржи (мини) | FUTMXI032200 | rub | 1 | 0.05 | +| MGZ2 | MAGN-12.22 ММК | FUTMAGN12220 | rub | 1 | 1 | +| CYM2 | CY-6.22 Курс Юань - Рубль | FUTCY0622000 | rub | 1 | 0 | +| SVU2 | SILV-9.22 Серебро | FUTSILV09220 | rub | 1 | 0.01 | +| SAV2 | SUGR-10.22 Сахар | FUTSUGR10220 | rub | 1 | 0.01 | +| NGN2 | NG-7.22 Природный газ | FUTNG0722000 | rub | 1 | 0 | +| ALH2 | ALRS-3.22 Алроса | FUTALRS03220 | rub | 1 | 1 | +| VIN2 | RVI-7.22 Волатильность российского рынка | FUTRVI072200 | rub | 1 | 0 | +| GKH2 | GMKN-3.22 Норильский никель | FUTGMKN03220 | rub | 1 | 0 | +| SOZ2 | SIBN-12.22 Газпром нефть | FUTSIBN12220 | rub | 1 | 1 | +| OZH2 | OZON-3.22 Озон | FUTOZON03220 | rub | 1 | 0 | +| SRH2 | SBRF-3.22 Сбер Банк (обыкновенные) | FUTSBRF03220 | rub | 1 | 0 | +| BRG3 | BR-2.23 Нефть Brent | FUTBR0223000 | rub | 1 | 0.01 | +| NGX2 | NG-11.22 Природный газ | FUTNG1122000 | rub | 1 | 0.001 | +| PTH2 | PLT-3.22 Платина | FUTPLT032200 | rub | 1 | 0 | +| SAH3 | SUGR-3.23 Сахар | FUTSUGR03230 | rub | 1 | 0.01 | +| EuU2 | Eu-9.22 Курс евро - рубль | BBG00ZMKXM17 | rub | 1 | 1 | +| HYH2 | HYDR-3.22 РусГидро | FUTHYDR03220 | rub | 1 | 1 | +| EDM2 | ED-6.22 Курс евро - доллар | FUTED0622000 | rub | 1 | 0 | +| MNM2 | MGNT-6.22 Магнит | FUTMGNT06220 | rub | 1 | 0 | +| OZZ2 | OZON-12.22 Озон | FUTOZON12220 | rub | 1 | 1 | +| BRQ2 | BR-8.22 Нефть Brent | FUTBR0822000 | rub | 1 | 0.01 | +| BRK2 | BR-5.22 Нефть Brent | FUTBR0522000 | rub | 1 | 0 | +| SNZ2 | SNGR-12.22 Сургутнефтегаз (обыкновенные) | FUTSNGR12220 | rub | 1 | 1 | +| FVU2 | FIVE-9.22 X5 RetailGroup | FUTFIVE09220 | rub | 1 | 1 | +| BRN3 | BR-7.23 Нефть Brent | FUTBR0723000 | rub | 1 | 0.01 | +| NGM2 | NG-6.22 Природный газ | FUTNG0622000 | rub | 1 | 0 | +| PHH2 | PHOR-3.22 ФосАгро | FUTPHOR03220 | rub | 1 | 0 | +| CoQ2 | Co-8.22 Медь | FUTCO0822000 | rub | 1 | 0.5 | +| GZU2 | GAZR-9.22 Газпром | FUTGAZR09220 | rub | 1 | 1 | +| SOH2 | SIBN-3.22 Газпром нефть | FUTSIBN03220 | rub | 1 | 0 | +| SGH2 | SNGP-3.22 Сургутнефтегаз (привилегированные) | FUTSNGP03220 | rub | 1 | 0 | +| RNH3 | ROSN-3.23 Роснефть | FUTROSN03230 | rub | 1 | 1 | +| CRZ2 | CNY-12.22 Курс Юань - Рубль | FUTCNY122200 | rub | 1 | 0.01 | +| W4Z2 | WHEAT-12.22 Индекс Пшеницы | FUTWHEA12220 | rub | 1 | 10 | +| FNM2 | FNI-6.22 Индекс Финансов | FUTFNI062200 | rub | 1 | 0 | +| NlN2 | Nl-7.22 Никель | FUTNL0722000 | rub | 1 | 0 | +| POM2 | POLY-6.22 Polymetal | FUTPOLY06220 | rub | 1 | 0 | +| MXM2 | MIX-6.22 Индекс МосБиржи | FUTMIX062200 | rub | 1 | 0 | +| MTH2 | MTSI-3.22 МТС | FUTMTSI03220 | rub | 1 | 0 | +| BRZ2 | BR-12.22 Нефть Brent | FUTBR1222000 | rub | 1 | 0.01 | +| VIJ2 | RVI-4.22 Волатильность российского рынка | FUTRVI042200 | rub | 1 | 0 | +| NGZ2 | NG-12.22 Природный газ | FUTNG1222000 | rub | 1 | 0.001 | +| MCM2 | MTLR-6.22 Мечел (обыкновенные) | FUTMTLR06220 | rub | 1 | 0 | +| SAK2 | SUGR-5.22 Сахар | FUTSUGR05220 | rub | 1 | 0 | +| RIH3 | RTS-3.23 Индекс РТС | FUTRTS032300 | rub | 1 | 10 | +| CRU2 | CNY-9.22 Курс Юань - Рубль | FUTCNY092200 | rub | 1 | 0.01 | +| CoV2 | Co-10.22 Медь | FUTCO1022000 | rub | 1 | 0.5 | +| CFM2 | UCHF-6.22 Курс доллар США - Швейцарский франк | FUTUCHF06220 | rub | 1 | 0 | +| SGU2 | SNGP-9.22 Сургутнефтегаз (привилегированные) | FUTSNGP09220 | rub | 1 | 1 | +| MAM2 | MMI-6.22 Индекс Металлов и добычи | FUTMMI062200 | rub | 1 | 0 | +| RMZ2 | RTSM-12.22 Индекс РТС (мини) | FUTRTSM12220 | rub | 1 | 0.5 | +| RIH2 | RTS-3.22 Индекс РТС | FUTRTS032200 | rub | 1 | 0 | +| BRU2 | BR-9.22 Нефть Brent | FUTBR0922000 | rub | 1 | 0 | +| PIM2 | PIKK-6.22 ПИК | FUTPIKK06220 | rub | 1 | 0 | +| GZM2 | GAZR-6.22 Газпром | FUTGAZR06220 | rub | 1 | 0 | +| SAH2 | SUGR-3.22 Сахар | FUTSUGR03220 | rub | 1 | 0 | +| CRM2 | CNY-6.22 Курс Юань - Рубль | FUTCNY062200 | rub | 1 | 0.01 | +| NGF2 | NG-1.22 Природный газ | FUTNG0122000 | rub | 1 | 0 | +| RLM2 | RUAL-6.22 РУСАЛ | FUTRUAL06220 | rub | 1 | 1 | +| OGM2 | OGI-6.22 Индекс Нефти и газа | FUTOGI062200 | rub | 1 | 1 | +| MLZ2 | MAIL-12.22 VK | FUTMAIL12220 | rub | 1 | 1 | +| GZZ4 | GAZR-12.24 Газпром | FUTGAZR12240 | rub | 1 | 1 | +| AKH2 | AFKS-3.22 АФК Система - обыкновенные акции | FUTAFKS03220 | rub | 1 | 1 | +| GZZ2 | GAZR-12.22 Газпром | FUTGAZR12220 | rub | 1 | 1 | +| PZH2 | PLZL-3.22 Полюс Золото | FUTPLZL03220 | rub | 1 | 0 | +| GDH2 | GOLD-3.22 Золото | FUTGOLD03220 | rub | 1 | 0 | +| BRH3 | BR-3.23 Нефть Brent | FUTBR0323000 | rub | 1 | 0.01 | +| PDU2 | PLD-9.22 Палладий | FUTPLD092200 | rub | 1 | 0.01 | +| FSU2 | FEES-9.22 ФСК ЕЭС | FUTFEES09220 | rub | 1 | 1 | +| TNU2 | TRNF-9.22 Транснефть (привилегированные) | FUTTRNF09220 | rub | 1 | 1 | +| GZU4 | GAZR-9.24 Газпром | FUTGAZR09240 | rub | 1 | 1 | +| PIZ2 | PIKK-12.22 ПИК | FUTPIKK12220 | rub | 1 | 1 | +| HYZ2 | HYDR-12.22 РусГидро | FUTHYDR12220 | rub | 1 | 1 | +| SVH2 | SILV-3.22 Серебро | FUTSILV03220 | rub | 1 | 0 | +| VBH2 | VTBR-3.22 ВТБ | FUTVTBR03220 | rub | 1 | 0 | +| RMH3 | RTSM-3.23 Индекс РТС (мини) | FUTRTSM03230 | rub | 1 | 0.5 | +| RMM2 | RTSM-6.22 Индекс РТС (мини) | FUTRTSM06220 | rub | 1 | 0.5 | +| RBU2 | RGBI-9.22 Индекс Государственных облигаций | FUTRGBI09220 | rub | 1 | 1 | +| MAZ2 | MMI-12.22 Индекс Металлов и добычи | FUTMMI122200 | rub | 1 | 1 | +| VIH2 | RVI-3.22 Волатильность российского рынка | FUTRVI032200 | rub | 1 | 0 | +| SVH3 | SILV-3.23 Серебро | FUTSILV03230 | rub | 1 | 0.01 | +| PZZ2 | PLZL-12.22 Полюс Золото | FUTPLZL12220 | rub | 1 | 1 | +| FVH2 | FIVE-3.22 X5 RetailGroup | FUTFIVE03220 | rub | 1 | 0 | +| MXH3 | MIX-3.23 Индекс МосБиржи | FUTMIX032300 | rub | 1 | 25 | +| BRM2 | BR-6.22 Нефть Brent | FUTBR0622000 | rub | 1 | 0.01 | +| SiM2 | Si-6.22 Курс доллар - рубль | BBG00VHGV1J0 | rub | 1 | 0 | +| GUU2 | GBPU-9.22 Курс Фунт стерлингов - Доллар | FUTGBPU09220 | rub | 1 | 0.0001 | diff --git a/tests/test_TKSBrokerAPI.py b/tests/test_TKSBrokerAPI.py index 99bb2b1..3ae087a 100644 --- a/tests/test_TKSBrokerAPI.py +++ b/tests/test_TKSBrokerAPI.py @@ -82,49 +82,50 @@ def test_GetDatesAsStringCheckType(self): assert isinstance(result[1], str), "Not str type in second parameter returned!" def test_GetDatesAsStringPositive(self): - now = datetime.now(tzutc()) + now = datetime.now(tzutc()).replace(hour=0, minute=0, second=0, microsecond=0) + end = now.replace(hour=23, minute=59, second=59, microsecond=0) delta = timedelta(seconds=1) # diff between expected and actual results must be less than this value testData = [ (None, None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()), now, + end, )), ("today", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()), now, + end, )), ("yesterday", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1), - now.replace(hour=23, minute=59, second=59, microsecond=0) - timedelta(days=1), + now - timedelta(days=1), + end - timedelta(days=1), )), ("week", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=7), - now, + now - timedelta(days=6), + end, )), ("month", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=30), - now, + now - timedelta(days=29), + end, )), ("year", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=365), - now, + now - timedelta(days=364), + end, )), ("-1", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1), - now, + now - timedelta(days=0), + end, )), ("-2", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=2), - now, + now - timedelta(days=1), + end, )), ("-365", None, ( - now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=365), - now, + now - timedelta(days=364), + end, )), ("2020-02-20", None, ( datetime.strptime("2020-02-20", "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()), - now, + end, )), ("2020-02-20", "2022-02-22", ( datetime.strptime("2020-02-20", "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()), @@ -154,10 +155,9 @@ def test_GetDatesAsStringPositive(self): def test_ConsistentOfVariablesNames(self): mainVarNames = [ - "token", "iList", "accountId", - "aliases", "ticker", "figi", "depth", "server", "timeout", "headers", "body", "iList", - "historyLength", "historyInterval", - "instrumentsFile", "pricesFile", "overviewFile", "reportFile", "historyFile", + "token", "accountId", "iList", + "aliases", "aliasesKeys", "ticker", "figi", "depth", "server", "timeout", "headers", "body", + "historyFile", "instrumentsFile", "searchResultsFile", "pricesFile", "overviewFile", "reportFile", "iListDumpFile", ] actualNames = dir(self.server) @@ -234,11 +234,11 @@ def test_SearchByTickerCheckType(self): def test_SearchByTickerPositive(self): testData = [ # tickers and their corresponding instruments: - ("IBM", {"figi": "BBG000BLNNH6", "ticker": "IBM", "classCode": "SPBXM", "isin": "US4592001014", "lot": 1, "currency": "usd", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 500000000}, "dshort": {"units": "0", "nano": 500000000}, "dlongMin": {"units": "0", "nano": 292900000}, "dshortMin": {"units": "0", "nano": 224700000}, "shortEnabledFlag": False, "name": "IBM", "exchange": "SPB", "ipoDate": "1915-11-11T00:00:00Z", "issueSize": "896320073", "countryOfRisk": "US", "countryOfRiskName": "Соединенные Штаты Америки", "sector": "it", "issueSizePlan": "4687500000", "nominal": {"currency": "usd", "units": "0", "nano": 200000000}, "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "divYieldFlag": True, "shareType": "SHARE_TYPE_COMMON", "minPriceIncrement": {"units": "0", "nano": 10000000}, "apiTradeAvailableFlag": True, "uid": "ca370ca5-e42b-44e4-a0a5-daf5e51d02a7", "realExchange": "REAL_EXCHANGE_RTS", "positionUid": "b70a8cfc-90c1-4a66-8c39-f6239705b2fe", "forIisFlag": True, "first1minCandleDate": "2018-01-23T08:51:00Z", "first1dayCandleDate": "1988-09-12T00:00:00Z", "type": "Shares", "step": 0.01}), - ("YNDX", {"figi": "BBG006L8G4H1", "ticker": "YNDX", "classCode": "TQBR", "isin": "NL0009805522", "lot": 1, "currency": "rub", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 521100000}, "dshort": {"units": "0", "nano": 635900000}, "dlongMin": {"units": "0", "nano": 308000000}, "dshortMin": {"units": "0", "nano": 279000000}, "shortEnabledFlag": True, "name": "Yandex", "exchange": "MOEX_WEEKEND", "ipoDate": "2011-05-24T00:00:00Z", "issueSize": "323800479", "countryOfRisk": "RU", "countryOfRiskName": "Российская Федерация", "sector": "telecom", "issueSizePlan": "0", "nominal": {"currency": "eur", "units": "0", "nano": 10000000}, "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "divYieldFlag": False, "shareType": "SHARE_TYPE_COMMON", "minPriceIncrement": {"units": "0", "nano": 200000000}, "apiTradeAvailableFlag": True, "uid": "10e17a87-3bce-4a1f-9dfc-720396f98a3c", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "cb51e157-1f73-4c62-baac-93f11755056a", "forIisFlag": True, "first1minCandleDate": "2018-03-07T18:38:00Z", "first1dayCandleDate": "2014-06-04T07:00:00Z", "type": "Shares", "step": 0.2}), - ("USD000UTSTOM", {"figi": "BBG0013HGFT4", "ticker": "USD000UTSTOM", "classCode": "CETS", "isin": "", "lot": 1000, "currency": "rub", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 500000000}, "dshort": {"units": "0", "nano": 500000000}, "dlongMin": {"units": "0", "nano": 292900000}, "dshortMin": {"units": "0", "nano": 224700000}, "shortEnabledFlag": True, "name": "Доллар США", "exchange": "FX", "nominal": {"currency": "usd", "units": "1", "nano": 0}, "countryOfRisk": "", "countryOfRiskName": "", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "isoCurrencyName": "usd", "minPriceIncrement": {"units": "0", "nano": 2500000}, "apiTradeAvailableFlag": True, "uid": "a22a1263-8e1b-4546-a1aa-416463f104d3", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", "forIisFlag": True, "first1minCandleDate": "2018-03-07T16:16:00Z", "first1dayCandleDate": "2000-05-16T00:00:00Z", "type": "Currencies", "step": 0.0025}), - ("RU000A101YV8", {"figi": "TCS00A101YV8", "ticker": "RU000A101YV8", "classCode": "TQCB", "isin": "RU000A101YV8", "lot": 1, "currency": "rub", "shortEnabledFlag": False, "name": "Позитив Текнолоджиз выпуск 1", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 4, "maturityDate": "2023-07-26T00:00:00Z", "nominal": {"currency": "rub", "units": "1000", "nano": 0}, "stateRegDate": "2020-07-21T00:00:00Z", "placementDate": "2020-07-29T00:00:00Z", "placementPrice": {"currency": "rub", "units": "1000", "nano": 0}, "aciValue": {"currency": "rub", "units": "26", "nano": 780000000}, "countryOfRisk": "RU", "countryOfRiskName": "Российская Федерация", "sector": "it", "issueKind": "non_documentary", "issueSize": "500000", "issueSizePlan": "500000", "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "floatingCouponFlag": False, "perpetualFlag": False, "amortizationFlag": True, "minPriceIncrement": {"units": "0", "nano": 10000000}, "apiTradeAvailableFlag": True, "uid": "2ee80fbd-356f-4a01-8d64-d2bd1e73745c", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "0500b20b-1a28-4ed5-bf63-958b16a40080", "forIisFlag": True, "type": "Bonds", "step": 0.01}), - ("TGLD", {"figi": "BBG222222222", "ticker": "TGLD", "classCode": "TQTD", "isin": "RU000A101X50", "lot": 100, "currency": "usd", "shortEnabledFlag": False, "name": "Тинькофф Золото", "exchange": "MOEX", "fixedCommission": {"units": "0", "nano": 450000000}, "focusType": "equity", "releasedDate": "2020-07-13T00:00:00Z", "countryOfRisk": "", "countryOfRiskName": "", "sector": "", "rebalancingFreq": "", "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "minPriceIncrement": {"units": "0", "nano": 100000}, "apiTradeAvailableFlag": True, "uid": "a4b3adc6-4e04-4f06-9048-431aa1ed07ac", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "548bde28-a5ea-4b7b-83d3-47b4c56a0167", "forIisFlag": True, "first1minCandleDate": "2020-08-26T07:00:00Z", "first1dayCandleDate": "2020-08-26T07:00:00Z", "type": "Etfs", "step": 0.0001}), + ("IBM", {'figi': 'BBG000BLNNH6', 'ticker': 'IBM', 'classCode': 'SPBXM', 'isin': 'US4592001014', 'lot': 1, 'currency': 'usd', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 500000000}, 'dshort': {'units': '0', 'nano': 500000000}, 'dlongMin': {'units': '0', 'nano': 292900000}, 'dshortMin': {'units': '0', 'nano': 224700000}, 'shortEnabledFlag': False, 'name': 'IBM', 'exchange': 'SPB_MORNING', 'ipoDate': '1915-11-11T00:00:00Z', 'issueSize': '896320073', 'countryOfRisk': 'US', 'countryOfRiskName': 'Соединенные Штаты Америки', 'sector': 'it', 'issueSizePlan': '4687500000', 'nominal': {'currency': 'usd', 'units': '0', 'nano': 200000000}, 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'divYieldFlag': True, 'shareType': 'SHARE_TYPE_COMMON', 'minPriceIncrement': {'units': '0', 'nano': 10000000}, 'apiTradeAvailableFlag': True, 'uid': 'ca370ca5-e42b-44e4-a0a5-daf5e51d02a7', 'realExchange': 'REAL_EXCHANGE_RTS', 'positionUid': 'b70a8cfc-90c1-4a66-8c39-f6239705b2fe', 'forIisFlag': True, 'first1minCandleDate': '2018-01-23T08:51:00Z', 'first1dayCandleDate': '1988-09-12T00:00:00Z', 'type': 'Shares', 'step': 0.01}), + ("YNDX", {'figi': 'BBG006L8G4H1', 'ticker': 'YNDX', 'classCode': 'TQBR', 'isin': 'NL0009805522', 'lot': 1, 'currency': 'rub', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 366600000}, 'dshort': {'units': '0', 'nano': 457300000}, 'dlongMin': {'units': '0', 'nano': 204100000}, 'dshortMin': {'units': '0', 'nano': 207200000}, 'shortEnabledFlag': True, 'name': 'Yandex', 'exchange': 'MOEX_WEEKEND', 'ipoDate': '2011-05-24T00:00:00Z', 'issueSize': '323800479', 'countryOfRisk': 'RU', 'countryOfRiskName': 'Российская Федерация', 'sector': 'telecom', 'issueSizePlan': '0', 'nominal': {'currency': 'eur', 'units': '0', 'nano': 10000000}, 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'divYieldFlag': False, 'shareType': 'SHARE_TYPE_COMMON', 'minPriceIncrement': {'units': '0', 'nano': 200000000}, 'apiTradeAvailableFlag': True, 'uid': '10e17a87-3bce-4a1f-9dfc-720396f98a3c', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': 'cb51e157-1f73-4c62-baac-93f11755056a', 'forIisFlag': True, 'first1minCandleDate': '2018-03-07T18:38:00Z', 'first1dayCandleDate': '2014-06-04T07:00:00Z', 'type': 'Shares', 'step': 0.2}), + ("USD000UTSTOM", {'figi': 'BBG0013HGFT4', 'ticker': 'USD000UTSTOM', 'classCode': 'CETS', 'isin': '', 'lot': 1000, 'currency': 'rub', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 499000000}, 'dshort': {'units': '0', 'nano': 499000000}, 'dlongMin': {'units': '0', 'nano': 292200000}, 'dshortMin': {'units': '0', 'nano': 224300000}, 'shortEnabledFlag': True, 'name': 'Доллар США', 'exchange': 'FX', 'nominal': {'currency': 'usd', 'units': '1', 'nano': 0}, 'countryOfRisk': '', 'countryOfRiskName': '', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'isoCurrencyName': 'usd', 'minPriceIncrement': {'units': '0', 'nano': 2500000}, 'apiTradeAvailableFlag': True, 'uid': 'a22a1263-8e1b-4546-a1aa-416463f104d3', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '6e97aa9b-50b6-4738-bce7-17313f2b2cc2', 'forIisFlag': True, 'first1minCandleDate': '2018-03-07T16:16:00Z', 'first1dayCandleDate': '2000-05-16T00:00:00Z', 'type': 'Currencies', 'step': 0.0025}), + ("RU000A101YV8", {'figi': 'TCS00A101YV8', 'ticker': 'RU000A101YV8', 'classCode': 'TQCB', 'isin': 'RU000A101YV8', 'lot': 1, 'currency': 'rub', 'shortEnabledFlag': False, 'name': 'Позитив Текнолоджиз выпуск 1', 'exchange': 'MOEX_PLUS', 'couponQuantityPerYear': 4, 'maturityDate': '2023-07-26T00:00:00Z', 'nominal': {'currency': 'rub', 'units': '1000', 'nano': 0}, 'stateRegDate': '2020-07-21T00:00:00Z', 'placementDate': '2020-07-29T00:00:00Z', 'placementPrice': {'currency': 'rub', 'units': '1000', 'nano': 0}, 'aciValue': {'currency': 'rub', 'units': '13', 'nano': 550000000}, 'countryOfRisk': 'RU', 'countryOfRiskName': 'Российская Федерация', 'sector': 'it', 'issueKind': 'non_documentary', 'issueSize': '500000', 'issueSizePlan': '500000', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'floatingCouponFlag': False, 'perpetualFlag': False, 'amortizationFlag': True, 'minPriceIncrement': {'units': '0', 'nano': 10000000}, 'apiTradeAvailableFlag': True, 'uid': '2ee80fbd-356f-4a01-8d64-d2bd1e73745c', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '0500b20b-1a28-4ed5-bf63-958b16a40080', 'forIisFlag': True, 'first1minCandleDate': '2020-07-29T13:21:00Z', 'first1dayCandleDate': '2020-07-29T07:00:00Z', 'type': 'Bonds', 'step': 0.01}), + ("TGLD", {'figi': 'BBG222222222', 'ticker': 'TGLD', 'classCode': 'TQTD', 'isin': 'RU000A101X50', 'lot': 100, 'currency': 'usd', 'shortEnabledFlag': False, 'name': 'Тинькофф Золото', 'exchange': 'MOEX', 'fixedCommission': {'units': '0', 'nano': 450000000}, 'focusType': 'equity', 'releasedDate': '2020-07-13T00:00:00Z', 'countryOfRisk': '', 'countryOfRiskName': '', 'sector': '', 'rebalancingFreq': '', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'minPriceIncrement': {'units': '0', 'nano': 100000}, 'apiTradeAvailableFlag': True, 'uid': 'a4b3adc6-4e04-4f06-9048-431aa1ed07ac', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '548bde28-a5ea-4b7b-83d3-47b4c56a0167', 'forIisFlag': True, 'first1minCandleDate': '2020-08-26T07:00:00Z', 'first1dayCandleDate': '2020-08-26T07:00:00Z', 'type': 'Etfs', 'step': 0.0001}), ] for test in testData: @@ -246,7 +246,6 @@ def test_SearchByTickerPositive(self): self.server.figi = "" result = self.server.SearchByTicker(requestPrice=False, showInfo=False, debug=False) - assert result == test[1], 'Ticker: {}\nExpected: {}\nActual: {}'.format(test[0], test[1], result) def test_SearchByFIGICheckType(self): @@ -257,11 +256,11 @@ def test_SearchByFIGICheckType(self): def test_SearchByFIGIPositive(self): testData = [ # FIGIs and their corresponding instruments: - ("BBG000BLNNH6", {"figi": "BBG000BLNNH6", "ticker": "IBM", "classCode": "SPBXM", "isin": "US4592001014", "lot": 1, "currency": "usd", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 500000000}, "dshort": {"units": "0", "nano": 500000000}, "dlongMin": {"units": "0", "nano": 292900000}, "dshortMin": {"units": "0", "nano": 224700000}, "shortEnabledFlag": False, "name": "IBM", "exchange": "SPB", "ipoDate": "1915-11-11T00:00:00Z", "issueSize": "896320073", "countryOfRisk": "US", "countryOfRiskName": "Соединенные Штаты Америки", "sector": "it", "issueSizePlan": "4687500000", "nominal": {"currency": "usd", "units": "0", "nano": 200000000}, "tradingStatus": "SECURITY_TRADING_STATUS_NORMAL_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "divYieldFlag": True, "shareType": "SHARE_TYPE_COMMON", "minPriceIncrement": {"units": "0", "nano": 10000000}, "apiTradeAvailableFlag": True, "uid": "ca370ca5-e42b-44e4-a0a5-daf5e51d02a7", "realExchange": "REAL_EXCHANGE_RTS", "positionUid": "b70a8cfc-90c1-4a66-8c39-f6239705b2fe", "forIisFlag": True, "first1minCandleDate": "2018-01-23T08:51:00Z", "first1dayCandleDate": "1988-09-12T00:00:00Z", "type": "Shares", "step": 0.01}), - ("BBG006L8G4H1", {"figi": "BBG006L8G4H1", "ticker": "YNDX", "classCode": "TQBR", "isin": "NL0009805522", "lot": 1, "currency": "rub", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 521100000}, "dshort": {"units": "0", "nano": 635900000}, "dlongMin": {"units": "0", "nano": 308000000}, "dshortMin": {"units": "0", "nano": 279000000}, "shortEnabledFlag": True, "name": "Yandex", "exchange": "MOEX_WEEKEND", "ipoDate": "2011-05-24T00:00:00Z", "issueSize": "323800479", "countryOfRisk": "RU", "countryOfRiskName": "Российская Федерация", "sector": "telecom", "issueSizePlan": "0", "nominal": {"currency": "eur", "units": "0", "nano": 10000000}, "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "divYieldFlag": False, "shareType": "SHARE_TYPE_COMMON", "minPriceIncrement": {"units": "0", "nano": 200000000}, "apiTradeAvailableFlag": True, "uid": "10e17a87-3bce-4a1f-9dfc-720396f98a3c", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "cb51e157-1f73-4c62-baac-93f11755056a", "forIisFlag": True, "first1minCandleDate": "2018-03-07T18:38:00Z", "first1dayCandleDate": "2014-06-04T07:00:00Z", "type": "Shares", "step": 0.2}), - ("BBG0013HGFT4", {"figi": "BBG0013HGFT4", "ticker": "USD000UTSTOM", "classCode": "CETS", "isin": "", "lot": 1000, "currency": "rub", "klong": {"units": "2", "nano": 0}, "kshort": {"units": "2", "nano": 0}, "dlong": {"units": "0", "nano": 500000000}, "dshort": {"units": "0", "nano": 500000000}, "dlongMin": {"units": "0", "nano": 292900000}, "dshortMin": {"units": "0", "nano": 224700000}, "shortEnabledFlag": True, "name": "Доллар США", "exchange": "FX", "nominal": {"currency": "usd", "units": "1", "nano": 0}, "countryOfRisk": "", "countryOfRiskName": "", "tradingStatus": "SECURITY_TRADING_STATUS_NOT_AVAILABLE_FOR_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "isoCurrencyName": "usd", "minPriceIncrement": {"units": "0", "nano": 2500000}, "apiTradeAvailableFlag": True, "uid": "a22a1263-8e1b-4546-a1aa-416463f104d3", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "6e97aa9b-50b6-4738-bce7-17313f2b2cc2", "forIisFlag": True, "first1minCandleDate": "2018-03-07T16:16:00Z", "first1dayCandleDate": "2000-05-16T00:00:00Z", "type": "Currencies", "step": 0.0025}), - ("TCS00A101YV8", {"figi": "TCS00A101YV8", "ticker": "RU000A101YV8", "classCode": "TQCB", "isin": "RU000A101YV8", "lot": 1, "currency": "rub", "shortEnabledFlag": False, "name": "Позитив Текнолоджиз выпуск 1", "exchange": "MOEX_PLUS", "couponQuantityPerYear": 4, "maturityDate": "2023-07-26T00:00:00Z", "nominal": {"currency": "rub", "units": "1000", "nano": 0}, "stateRegDate": "2020-07-21T00:00:00Z", "placementDate": "2020-07-29T00:00:00Z", "placementPrice": {"currency": "rub", "units": "1000", "nano": 0}, "aciValue": {"currency": "rub", "units": "26", "nano": 780000000}, "countryOfRisk": "RU", "countryOfRiskName": "Российская Федерация", "sector": "it", "issueKind": "non_documentary", "issueSize": "500000", "issueSizePlan": "500000", "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "floatingCouponFlag": False, "perpetualFlag": False, "amortizationFlag": True, "minPriceIncrement": {"units": "0", "nano": 10000000}, "apiTradeAvailableFlag": True, "uid": "2ee80fbd-356f-4a01-8d64-d2bd1e73745c", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "0500b20b-1a28-4ed5-bf63-958b16a40080", "forIisFlag": True, "type": "Bonds", "step": 0.01}), - ("BBG222222222", {"figi": "BBG222222222", "ticker": "TGLD", "classCode": "TQTD", "isin": "RU000A101X50", "lot": 100, "currency": "usd", "shortEnabledFlag": False, "name": "Тинькофф Золото", "exchange": "MOEX", "fixedCommission": {"units": "0", "nano": 450000000}, "focusType": "equity", "releasedDate": "2020-07-13T00:00:00Z", "countryOfRisk": "", "countryOfRiskName": "", "sector": "", "rebalancingFreq": "", "tradingStatus": "SECURITY_TRADING_STATUS_BREAK_IN_TRADING", "otcFlag": False, "buyAvailableFlag": True, "sellAvailableFlag": True, "minPriceIncrement": {"units": "0", "nano": 100000}, "apiTradeAvailableFlag": True, "uid": "a4b3adc6-4e04-4f06-9048-431aa1ed07ac", "realExchange": "REAL_EXCHANGE_MOEX", "positionUid": "548bde28-a5ea-4b7b-83d3-47b4c56a0167", "forIisFlag": True, "first1minCandleDate": "2020-08-26T07:00:00Z", "first1dayCandleDate": "2020-08-26T07:00:00Z", "type": "Etfs", "step": 0.0001}), + ("BBG000BLNNH6", {'figi': 'BBG000BLNNH6', 'ticker': 'IBM', 'classCode': 'SPBXM', 'isin': 'US4592001014', 'lot': 1, 'currency': 'usd', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 500000000}, 'dshort': {'units': '0', 'nano': 500000000}, 'dlongMin': {'units': '0', 'nano': 292900000}, 'dshortMin': {'units': '0', 'nano': 224700000}, 'shortEnabledFlag': False, 'name': 'IBM', 'exchange': 'SPB_MORNING', 'ipoDate': '1915-11-11T00:00:00Z', 'issueSize': '896320073', 'countryOfRisk': 'US', 'countryOfRiskName': 'Соединенные Штаты Америки', 'sector': 'it', 'issueSizePlan': '4687500000', 'nominal': {'currency': 'usd', 'units': '0', 'nano': 200000000}, 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'divYieldFlag': True, 'shareType': 'SHARE_TYPE_COMMON', 'minPriceIncrement': {'units': '0', 'nano': 10000000}, 'apiTradeAvailableFlag': True, 'uid': 'ca370ca5-e42b-44e4-a0a5-daf5e51d02a7', 'realExchange': 'REAL_EXCHANGE_RTS', 'positionUid': 'b70a8cfc-90c1-4a66-8c39-f6239705b2fe', 'forIisFlag': True, 'first1minCandleDate': '2018-01-23T08:51:00Z', 'first1dayCandleDate': '1988-09-12T00:00:00Z', 'type': 'Shares', 'step': 0.01}), + ("BBG006L8G4H1", {'figi': 'BBG006L8G4H1', 'ticker': 'YNDX', 'classCode': 'TQBR', 'isin': 'NL0009805522', 'lot': 1, 'currency': 'rub', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 366600000}, 'dshort': {'units': '0', 'nano': 457300000}, 'dlongMin': {'units': '0', 'nano': 204100000}, 'dshortMin': {'units': '0', 'nano': 207200000}, 'shortEnabledFlag': True, 'name': 'Yandex', 'exchange': 'MOEX_WEEKEND', 'ipoDate': '2011-05-24T00:00:00Z', 'issueSize': '323800479', 'countryOfRisk': 'RU', 'countryOfRiskName': 'Российская Федерация', 'sector': 'telecom', 'issueSizePlan': '0', 'nominal': {'currency': 'eur', 'units': '0', 'nano': 10000000}, 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'divYieldFlag': False, 'shareType': 'SHARE_TYPE_COMMON', 'minPriceIncrement': {'units': '0', 'nano': 200000000}, 'apiTradeAvailableFlag': True, 'uid': '10e17a87-3bce-4a1f-9dfc-720396f98a3c', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': 'cb51e157-1f73-4c62-baac-93f11755056a', 'forIisFlag': True, 'first1minCandleDate': '2018-03-07T18:38:00Z', 'first1dayCandleDate': '2014-06-04T07:00:00Z', 'type': 'Shares', 'step': 0.2}), + ("BBG0013HGFT4", {'figi': 'BBG0013HGFT4', 'ticker': 'USD000UTSTOM', 'classCode': 'CETS', 'isin': '', 'lot': 1000, 'currency': 'rub', 'klong': {'units': '2', 'nano': 0}, 'kshort': {'units': '2', 'nano': 0}, 'dlong': {'units': '0', 'nano': 499000000}, 'dshort': {'units': '0', 'nano': 499000000}, 'dlongMin': {'units': '0', 'nano': 292200000}, 'dshortMin': {'units': '0', 'nano': 224300000}, 'shortEnabledFlag': True, 'name': 'Доллар США', 'exchange': 'FX', 'nominal': {'currency': 'usd', 'units': '1', 'nano': 0}, 'countryOfRisk': '', 'countryOfRiskName': '', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'isoCurrencyName': 'usd', 'minPriceIncrement': {'units': '0', 'nano': 2500000}, 'apiTradeAvailableFlag': True, 'uid': 'a22a1263-8e1b-4546-a1aa-416463f104d3', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '6e97aa9b-50b6-4738-bce7-17313f2b2cc2', 'forIisFlag': True, 'first1minCandleDate': '2018-03-07T16:16:00Z', 'first1dayCandleDate': '2000-05-16T00:00:00Z', 'type': 'Currencies', 'step': 0.0025}), + ("TCS00A101YV8", {'figi': 'TCS00A101YV8', 'ticker': 'RU000A101YV8', 'classCode': 'TQCB', 'isin': 'RU000A101YV8', 'lot': 1, 'currency': 'rub', 'shortEnabledFlag': False, 'name': 'Позитив Текнолоджиз выпуск 1', 'exchange': 'MOEX_PLUS', 'couponQuantityPerYear': 4, 'maturityDate': '2023-07-26T00:00:00Z', 'nominal': {'currency': 'rub', 'units': '1000', 'nano': 0}, 'stateRegDate': '2020-07-21T00:00:00Z', 'placementDate': '2020-07-29T00:00:00Z', 'placementPrice': {'currency': 'rub', 'units': '1000', 'nano': 0}, 'aciValue': {'currency': 'rub', 'units': '13', 'nano': 550000000}, 'countryOfRisk': 'RU', 'countryOfRiskName': 'Российская Федерация', 'sector': 'it', 'issueKind': 'non_documentary', 'issueSize': '500000', 'issueSizePlan': '500000', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'floatingCouponFlag': False, 'perpetualFlag': False, 'amortizationFlag': True, 'minPriceIncrement': {'units': '0', 'nano': 10000000}, 'apiTradeAvailableFlag': True, 'uid': '2ee80fbd-356f-4a01-8d64-d2bd1e73745c', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '0500b20b-1a28-4ed5-bf63-958b16a40080', 'forIisFlag': True, 'first1minCandleDate': '2020-07-29T13:21:00Z', 'first1dayCandleDate': '2020-07-29T07:00:00Z', 'type': 'Bonds', 'step': 0.01}), + ("BBG222222222", {'figi': 'BBG222222222', 'ticker': 'TGLD', 'classCode': 'TQTD', 'isin': 'RU000A101X50', 'lot': 100, 'currency': 'usd', 'shortEnabledFlag': False, 'name': 'Тинькофф Золото', 'exchange': 'MOEX', 'fixedCommission': {'units': '0', 'nano': 450000000}, 'focusType': 'equity', 'releasedDate': '2020-07-13T00:00:00Z', 'countryOfRisk': '', 'countryOfRiskName': '', 'sector': '', 'rebalancingFreq': '', 'tradingStatus': 'SECURITY_TRADING_STATUS_NORMAL_TRADING', 'otcFlag': False, 'buyAvailableFlag': True, 'sellAvailableFlag': True, 'minPriceIncrement': {'units': '0', 'nano': 100000}, 'apiTradeAvailableFlag': True, 'uid': 'a4b3adc6-4e04-4f06-9048-431aa1ed07ac', 'realExchange': 'REAL_EXCHANGE_MOEX', 'positionUid': '548bde28-a5ea-4b7b-83d3-47b4c56a0167', 'forIisFlag': True, 'first1minCandleDate': '2020-08-26T07:00:00Z', 'first1dayCandleDate': '2020-08-26T07:00:00Z', 'type': 'Etfs', 'step': 0.0001}), ] for test in testData: @@ -280,7 +279,7 @@ def test_ShowInstrumentsInfoPositive(self): iListInfo = fH.readlines() result = self.server.ShowInstrumentsInfo(showInstruments=False).split("\n") - result[2] = "* **Actual on date:** [2022-07-21 14:26] (UTC)" # replace 3 string with date similar as in InstrumentsInfoDump.md + result[2] = "* **Actual on date:** [2022-09-07 10:16 UTC]" # replace 3 string with date similar as in InstrumentsInfoDump.md for i, line in enumerate(result): assert line + "\n" == iListInfo[i], 'Check `ShowInstrumentsInfo()` method! It returns different info than in `./tests/InstrumentsInfoDump.txt`\nLine: {}\nExpected: `{}`\nActual: `{}`'.format(i + 1, iListInfo[i], line + "\n") diff --git a/tests/test_TKSEnums.py b/tests/test_TKSEnums.py index ec2e3bf..b476542 100644 --- a/tests/test_TKSEnums.py +++ b/tests/test_TKSEnums.py @@ -12,10 +12,11 @@ class TestConstantsConsistent: @pytest.fixture(scope="function", autouse=True) def init(self): self.mainConstants = { + "TKS_DATE_TIME_FORMAT": "", "TKS_INSTRUMENTS": " ", "TKS_TICKER_ALIASES": " ", "TKS_TICKERS_OR_FIGI_EXCLUDED": " ", - "TKS_TIMEFRAMES": " ", + "TKS_CANDLE_INTERVALS": " ", "TKS_TRADING_STATUSES": " ", "TKS_OPERATION_TYPES": " ", "TKS_OPERATION_STATES": " ", diff --git a/tksbrokerapi/TKSBrokerAPI.py b/tksbrokerapi/TKSBrokerAPI.py index 711d337..ab6a32d 100644 --- a/tksbrokerapi/TKSBrokerAPI.py +++ b/tksbrokerapi/TKSBrokerAPI.py @@ -41,7 +41,6 @@ import re import json import requests -from urllib.parse import quote from multiprocessing import cpu_count from multiprocessing.pool import ThreadPool @@ -112,66 +111,68 @@ def FloatToNano(number: float) -> dict: def GetDatesAsString(start: str = None, end: str = None) -> tuple: """ - If `start=None`, `end=None` then return dates from yesterday to current time. - If `start=some_date_1`, `end=None` then return dates from `some_date_1` to current time. - If `start=some_date_1`, `end=some_date_2` then return dates from `some_date_1` to `some_date_2`. + Create tuple of date and time strings with timezone parsed from user-friendly date. + + User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). + + Example input: "2022-06-01" "2022-06-20" -> output: ("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z") + An error exception will occur if input date has incorrect format. + + If `start=None`, `end=None` then return dates from yesterday to the end of the day. + If `start=some_date_1`, `end=None` then return dates from `some_date_1` to the end of the day. + If `start=some_date_1`, `end=some_date_2` then return dates from start of `some_date_1` to end of `some_date_2`. Start day may be negative integer numbers: `-1`, `-2`, `-3` - how many days ago. - Also, you can use keywords for start if `dateEnd=None`: - `today` (from 00:00:00 to current time), + Also, you can use keywords for start if `end=None`: + `today` (from 00:00:00 to the end of current day), `yesterday` (-1 day from 00:00:00 to 23:59:59), - `week` (-7 day from 00:00:00 to current date and time), - `month` (-30 day from 00:00:00 to current date and time), - `year` (-365 day from 00:00:00 to current date and time), - - User dates format must be like: `%Y-%m-%d`, e.g. `2020-02-03` (3 Feb, 2020). + `week` (-7 day from 00:00:00 to the end of current day), + `month` (-30 day from 00:00:00 to the end of current day), + `year` (-365 day from 00:00:00 to the end of current day), :return: tuple with 2 strings `(start, end)` dates in UTC ISO time format `%Y-%m-%dT%H:%M:%SZ` for OpenAPI. - Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")` + See date and time format here: `TKSEnums.TKS_DATE_TIME_FORMAT`. + Example: `("2022-06-01T00:00:00Z", "2022-06-20T23:59:59Z")`. Second string is the end of the last day. """ uLogger.debug("Input start day is [{}] (UTC), end day is [{}] (UTC)".format(start, end)) - now = datetime.now(tzutc()) + s = datetime.now(tzutc()).replace(hour=0, minute=0, second=0, microsecond=0) # start of the current day + e = s.replace(hour=23, minute=59, second=59, microsecond=0) # end of the current day - # showing statistics between start of the current day and current time: + # time between start and the end of the current day: if start is None or start.lower() == "today": - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - e = now + pass # from start of the last day to the end of the last day: elif start.lower() == "yesterday": - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=1) - e = now.replace(hour=23, minute=59, second=59, microsecond=0) - timedelta(days=1) + s -= timedelta(days=1) + e -= timedelta(days=1) - # week (-7 day from 00:00:00 to current date and time): + # week (-7 day from 00:00:00 to the end of the current day): elif start.lower() == "week": - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=7) - e = now + s -= timedelta(days=6) # +1 current day already taken into account - # month (-30 day from 00:00:00 to current date and time): + # month (-30 day from 00:00:00 to the end of current day): elif start.lower() == "month": - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=30) - e = now + s -= timedelta(days=29) # +1 current day already taken into account - # year (-365 day from 00:00:00 to current date and time): + # year (-365 day from 00:00:00 to the end of current day): elif start.lower() == "year": - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=365) - e = now + s -= timedelta(days=364) # +1 current day already taken into account - # showing statistics from -N days ago to current date and time: + # -N days ago to the end of current day: elif start.startswith('-') and start[1:].isdigit(): - s = now.replace(hour=0, minute=0, second=0, microsecond=0) - timedelta(days=abs(int(start))) - e = now + s -= timedelta(days=abs(int(start)) - 1) # +1 current day already taken into account - # showing statistics between start day at 00:00:00 and the end day at 23:59:59: + # dates between start day at 00:00:00 and the end of the last day at 23:59:59: else: s = datetime.strptime(start, "%Y-%m-%d").replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=tzutc()) - e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else now + e = datetime.strptime(end, "%Y-%m-%d").replace(hour=23, minute=59, second=59, microsecond=0, tzinfo=tzutc()) if end is not None else e # converting to UTC ISO time formatted with Z suffix for Tinkoff Open API: - s = s.strftime("%Y-%m-%dT%H:%M:%SZ") - e = e.strftime("%Y-%m-%dT%H:%M:%SZ") + s = s.strftime(TKS_DATE_TIME_FORMAT) + e = e.strftime(TKS_DATE_TIME_FORMAT) - uLogger.debug("Tinkoff Open API uses this start day (converted to UTC ISO format, with Z): [{}], and the end day: [{}]".format(s, e)) + uLogger.debug("Start day converted to UTC ISO format, with Z: [{}], and the end day: [{}]".format(s, e)) return s, e @@ -248,19 +249,20 @@ def __init__(self, token: str, accountId: str = None, iList: dict = None, useCac uLogger.debug("Broker API server: {}".format(self.server)) self.timeout = 15 - """Server operations timeout in seconds. Default: 15""" + """Server operations timeout in seconds. Default: `15`""" self.headers = {"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {}".format(self.token)} - """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {token}"}`""" + """Headers which send in every request to broker server. Default: `{"Content-Type": "application/json", "accept": "application/json", "Authorization": "Bearer {your_token}"}`""" self.body = None """Request body which send to broker server. Default: `None`""" - self.historyLength = 24 - """How many candles returns if candles history request. For example, if `historyInterval="hour"` and `historyLength=24` it means: "give me last 24 hours". Must be >=1. Default: 24""" + # remove after implemented: #45 Add selector of file types https://github.com/Tim55667757/TKSBrokerAPI/issues/45 + # self.outputFileType = None + # """Switch of types for output files when `--output` key present. You can choose: `.md`, `.csv` and `.xlsx`. By default: `None`, it mean that default types will be used.""" - self.historyInterval = "hour" - """Interval string for Tinkoff API (see: `TKSEnums.TKS_TIMEFRAMES`). Available values are `"1min"`, `"2min"`, `"3min"`, `"5min"`, `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`""" + self.historyFile = None + """Full path to the output file where history candles will be saved or updated. Default: `None`, it mean that returns only pandas dataframe when you request `History()` method.""" self.instrumentsFile = "instruments.md" """Filename where full broker's instruments list will be saved. Default: `instruments.md`""" @@ -274,12 +276,21 @@ def __init__(self, token: str, accountId: str = None, iList: dict = None, useCac self.overviewFile = "overview.md" """Filename where current portfolio, open trades and orders will be saved. Default: `overview.md`""" + self.overviewDigestFile = "overview-digest.md" + """Filename where short digest of the portfolio status will be saved. Default: `overview-digest.md`""" + + self.overviewPositionsFile = "overview-positions.md" + """Filename where only open positions, without everything else will be saved. Default: `overview-positions.md`""" + + self.overviewOrdersFile = "overview-orders.md" + """Filename where open limits and stop orders will be saved. Default: `overview-orders.md`""" + + self.overviewAnalyticsFile = "overview-analytics.md" + """Filename where only the analytics section and the distribution of the portfolio by various categories will be saved. Default: `overview-analytics.md`""" + self.reportFile = "deals.md" """Filename where history of deals and trade statistics will be saved. Default: `deals.md`""" - self.historyFile = None - """Full path to .csv output file where history candles will be saved. Default: `None`, mean that returns only pandas dataframe.""" - self.iListDumpFile = "dump.json" """Filename where raw data about shares, currencies, bonds, etfs and futures will be stored. Default: `dump.json`""" @@ -309,7 +320,7 @@ def __init__(self, token: str, accountId: str = None, iList: dict = None, useCac self.iList = json.load(open(self.iListDumpFile, mode="r", encoding="UTF-8")) # load iList from dump uLogger.debug("Local cache with raw instruments data is used: [{}]".format(os.path.abspath(self.iListDumpFile))) - uLogger.debug("Dump file was modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) + uLogger.debug("Dump file was last modified [{}] UTC".format(dumpTime.strftime("%Y-%m-%d %H:%M:%S"))) else: uLogger.warning("Local cache with raw instruments data not exists! Creating new dump, wait, please...") @@ -407,7 +418,7 @@ def SendAPIRequest(self, url: str, reqType: str = "GET", retry: int = 3, pause: responseJSON = self._ParseJSON(response.text) if errMsg: - uLogger.error("Not `oK` status received from broker server!") + uLogger.error("Not `oK` status received from broker server! See: https://tinkoff.github.io/investAPI/errors/") uLogger.error(" - message: {}".format(errMsg)) # raise Exception("Server returned an error! See full debug log. Also you can set debug=True in SendAPIRequest() and _ParseJSON() methods.") @@ -506,164 +517,166 @@ def DumpInstruments(self, forceUpdate: bool = True) -> str: @staticmethod def ShowInstrumentInfo(iJSON: dict, printInfo: bool = False) -> str: """ - Show information about instrument defined by json and print in Markdown format. + Show information about one instrument defined by json data and prints it in Markdown format. :param iJSON: json data of instrument, e.g. in code `iJSON = self.iList["Shares"][self.ticker]` :param printInfo: if `True` then also printing information about instrument and its current price. - :return: text in Markdown format with information about instrument. + :return: multilines text in Markdown format with information about one instrument. """ + splitLine = "| | |\n" infoText = "" + if iJSON is not None and iJSON and isinstance(iJSON, dict): info = [ "# Information is actual at: [{}] (UTC)\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - "| Parameters | Values\n", - "|---------------------------------------------------------|---------------------------------------------------------\n", - "| Ticker: | {}\n".format(iJSON["ticker"]), - "| Full name: | {}\n".format(iJSON["name"]), + "| Parameters | Values |\n", + "|---------------------------------------------------------|---------------------------------------------------------|\n", + "| Ticker: | {:<55} |\n".format(iJSON["ticker"]), + "| Full name: | {:<55} |\n".format(iJSON["name"]), ] if "sector" in iJSON.keys() and iJSON["sector"]: - info.append("| Sector: | {}\n".format(iJSON["sector"])) + info.append("| Sector: | {:<55} |\n".format(iJSON["sector"])) - info.append("| Country of instrument: | {}{}\n".format( + info.append("| Country of instrument: | {:<55} |\n".format("{}{}".format( "({}) ".format(iJSON["countryOfRisk"]) if "countryOfRisk" in iJSON.keys() and iJSON["countryOfRisk"] else "", iJSON["countryOfRiskName"] if "countryOfRiskName" in iJSON.keys() and iJSON["countryOfRiskName"] else "", - )) + ))) info.extend([ - "| |\n", - "| FIGI (Financial Instrument Global Identifier): | {}\n".format(iJSON["figi"]), - "| Exchange: | {}\n".format(iJSON["exchange"]), + splitLine, + "| FIGI (Financial Instrument Global Identifier): | {:<55} |\n".format(iJSON["figi"]), + "| Exchange: | {:<55} |\n".format(iJSON["exchange"]), ]) if "isin" in iJSON.keys() and iJSON["isin"]: - info.append("| ISIN (International Securities Identification Number): | {}\n".format(iJSON["isin"])) + info.append("| ISIN (International Securities Identification Number): | {:<55} |\n".format(iJSON["isin"])) if "classCode" in iJSON.keys(): - info.append("| Class Code: | {}\n".format(iJSON["classCode"])) + info.append("| Class Code: | {:<55} |\n".format(iJSON["classCode"])) info.extend([ - "| |\n", - "| Current broker security trading status: | {}\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), - "| Buy operations allowed: | {}\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), - "| Sale operations allowed: | {}\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), - "| Short positions allowed: | {}\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), + splitLine, + "| Current broker security trading status: | {:<55} |\n".format(TKS_TRADING_STATUSES[iJSON["tradingStatus"]]), + "| Buy operations allowed: | {:<55} |\n".format("Yes" if iJSON["buyAvailableFlag"] else "No"), + "| Sale operations allowed: | {:<55} |\n".format("Yes" if iJSON["sellAvailableFlag"] else "No"), + "| Short positions allowed: | {:<55} |\n".format("Yes" if iJSON["shortEnabledFlag"] else "No"), ]) - info.append("| |\n") + info.append(splitLine) if "type" in iJSON.keys() and iJSON["type"]: - info.append("| Type of the instrument: | {}\n".format(iJSON["type"])) + info.append("| Type of the instrument: | {:<55} |\n".format(iJSON["type"])) if "futuresType" in iJSON.keys() and iJSON["futuresType"]: - info.append("| Futures type: | {}\n".format(iJSON["futuresType"])) + info.append("| Futures type: | {:<55} |\n".format(iJSON["futuresType"])) if "ipoDate" in iJSON.keys() and iJSON["ipoDate"]: - info.append("| IPO date: | {}\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) + info.append("| IPO date: | {:<55} |\n".format(iJSON["ipoDate"].replace("T", " ").replace("Z", ""))) if "releasedDate" in iJSON.keys() and iJSON["releasedDate"]: - info.append("| Released date: | {}\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) + info.append("| Released date: | {:<55} |\n".format(iJSON["releasedDate"].replace("T", " ").replace("Z", ""))) if "rebalancingFreq" in iJSON.keys() and iJSON["rebalancingFreq"]: - info.append("| Rebalancing frequency: | {}\n".format(iJSON["rebalancingFreq"])) + info.append("| Rebalancing frequency: | {:<55} |\n".format(iJSON["rebalancingFreq"])) if "focusType" in iJSON.keys() and iJSON["focusType"]: - info.append("| Focusing type: | {}\n".format(iJSON["focusType"])) + info.append("| Focusing type: | {:<55} |\n".format(iJSON["focusType"])) if "assetType" in iJSON.keys() and iJSON["assetType"]: - info.append("| Asset type: | {}\n".format(iJSON["assetType"])) + info.append("| Asset type: | {:<55} |\n".format(iJSON["assetType"])) if "basicAsset" in iJSON.keys() and iJSON["basicAsset"]: - info.append("| Basic asset: | {}\n".format(iJSON["basicAsset"])) + info.append("| Basic asset: | {:<55} |\n".format(iJSON["basicAsset"])) if "basicAssetSize" in iJSON.keys() and iJSON["basicAssetSize"]: - info.append("| Basic asset size: | {:.2f}\n".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"]))) + info.append("| Basic asset size: | {:<55} |\n".format("{:.2f}".format(NanoToFloat(str(iJSON["basicAssetSize"]["units"]), iJSON["basicAssetSize"]["nano"])))) if "isoCurrencyName" in iJSON.keys() and iJSON["isoCurrencyName"]: - info.append("| ISO currency name: | {}\n".format(iJSON["isoCurrencyName"])) + info.append("| ISO currency name: | {:<55} |\n".format(iJSON["isoCurrencyName"])) if "currency" in iJSON.keys(): - info.append("| Payment currency: | {}\n".format(iJSON["currency"])) + info.append("| Payment currency: | {:<55} |\n".format(iJSON["currency"])) if "firstTradeDate" in iJSON.keys() and iJSON["firstTradeDate"] != 0: - info.append("| First trade date: | {}\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) + info.append("| First trade date: | {:<55} |\n".format(iJSON["firstTradeDate"].replace("T", " ").replace("Z", ""))) if "lastTradeDate" in iJSON.keys() and iJSON["lastTradeDate"] != 0: - info.append("| Last trade date: | {}\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) + info.append("| Last trade date: | {:<55} |\n".format(iJSON["lastTradeDate"].replace("T", " ").replace("Z", ""))) if "expirationDate" in iJSON.keys() and iJSON["expirationDate"] != 0: - info.append("| Date of expiration: | {}\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) + info.append("| Date of expiration: | {:<55} |\n".format(iJSON["expirationDate"].replace("T", " ").replace("Z", ""))) if "stateRegDate" in iJSON.keys() and iJSON["stateRegDate"] != 0: - info.append("| State registration date: | {}\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) + info.append("| State registration date: | {:<55} |\n".format(iJSON["stateRegDate"].replace("T", " ").replace("Z", ""))) if "placementDate" in iJSON.keys() and iJSON["placementDate"] != 0: - info.append("| Placement date: | {}\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) + info.append("| Placement date: | {:<55} |\n".format(iJSON["placementDate"].replace("T", " ").replace("Z", ""))) if "maturityDate" in iJSON.keys() and iJSON["maturityDate"] != 0: - info.append("| Maturity date: | {}\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) + info.append("| Maturity date: | {:<55} |\n".format(iJSON["maturityDate"].replace("T", " ").replace("Z", ""))) if "perpetualFlag" in iJSON.keys() and iJSON["perpetualFlag"]: - info.append("| Perpetual bond: | Yes\n") + info.append("| Perpetual bond: | Yes |\n") if "otcFlag" in iJSON.keys() and iJSON["otcFlag"]: - info.append("| Over-the-counter (OTC) securities: | Yes\n") + info.append("| Over-the-counter (OTC) securities: | Yes |\n") if iJSON["type"] == "Bonds": - info.append("| Bond issue (size / plan): | {} / {}\n".format(iJSON["issueSize"], iJSON["issueSizePlan"])) + info.append("| Bond issue (size / plan): | {:<55} |\n".format("{} / {}".format(iJSON["issueSize"], iJSON["issueSizePlan"]))) - info.append("| Nominal price (100%): | {:.2f} {}\n".format( + info.append("| Nominal price (100%): | {:<55} |\n".format("{:.2f} {}".format( NanoToFloat(str(iJSON["nominal"]["units"]), iJSON["nominal"]["nano"]), iJSON["nominal"]["currency"], - )) + ))) if "floatingCouponFlag" in iJSON.keys(): - info.append("| Floating coupon: | {}\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) + info.append("| Floating coupon: | {:<55} |\n".format("Yes" if iJSON["floatingCouponFlag"] else "No")) if "amortizationFlag" in iJSON.keys(): - info.append("| Amortization: | {}\n".format("Yes" if iJSON["amortizationFlag"] else "No")) + info.append("| Amortization: | {:<55} |\n".format("Yes" if iJSON["amortizationFlag"] else "No")) if "couponQuantityPerYear" in iJSON.keys() and iJSON["couponQuantityPerYear"]: - info.append("| Number of coupon payments per year: | {}\n".format(iJSON["couponQuantityPerYear"])) + info.append("| Number of coupon payments per year: | {:<55} |\n".format(iJSON["couponQuantityPerYear"])) if "aciValue" in iJSON.keys() and iJSON["aciValue"]: - info.append("| Current ACI (Accrued Interest): | {:.2f} {}\n".format( + info.append("| Current ACI (Accrued Interest): | {:<55} |\n".format("{:.2f} {}".format( NanoToFloat(str(iJSON["aciValue"]["units"]), iJSON["aciValue"]["nano"]), iJSON["aciValue"]["currency"] - )) + ))) if "currentPrice" in iJSON.keys(): - info.append("| |\n") + info.append(splitLine) info.extend([ - "| Previous close price of the instrument: | {}{}\n".format( + "| Previous close price of the instrument: | {:<55} |\n".format("{}{}".format( "{}".format(iJSON["currentPrice"]["closePrice"]).rstrip("0") if iJSON["currentPrice"]["closePrice"] is not None else "N/A", "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - ), - "| Last deal price of the instrument: | {}{}\n".format( + )), + "| Last deal price of the instrument: | {:<55} |\n".format("{}{}".format( "{}".format(iJSON["currentPrice"]["lastPrice"]).rstrip("0") if iJSON["currentPrice"]["lastPrice"] is not None else "N/A", "% of nominal price" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - ), - "| Changes between last deal price and last close % | {:.2f}%\n".format(iJSON["currentPrice"]["changes"]), - "| Current limit price, min / max: | {}{} / {}{}\n".format( + )), + "| Changes between last deal price and last close % | {:<55} |\n".format("{:.2f}".format(iJSON["currentPrice"]["changes"])), + "| Current limit price, min / max: | {:<55} |\n".format("{}{} / {}{}".format( "{}".format(iJSON["currentPrice"]["limitDown"]).rstrip("0") if iJSON["currentPrice"]["limitDown"] is not None else "N/A", "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), "{}".format(iJSON["currentPrice"]["limitUp"]).rstrip("0") if iJSON["currentPrice"]["limitUp"] is not None else "N/A", "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - ), - "| Actual price, sell / buy: | {}{} / {}{}\n".format( + )), + "| Actual price, sell / buy: | {:<55} |\n".format("{}{} / {}{}".format( "{}".format(iJSON["currentPrice"]["sell"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["sell"] else "N/A", "%" if iJSON["type"] == "Bonds" else " {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), "{}".format(iJSON["currentPrice"]["buy"][0]["price"]).rstrip("0") if iJSON["currentPrice"]["buy"] else "N/A", "%" if iJSON["type"] == "Bonds" else" {}".format(iJSON["currency"] if "currency" in iJSON.keys() else ""), - ), + )), ]) if "lot" in iJSON.keys(): - info.append("| Minimum lot to buy: | {}\n".format(iJSON["lot"])) + info.append("| Minimum lot to buy: | {:<55} |\n".format(iJSON["lot"])) if "step" in iJSON.keys() and iJSON["step"] != 0: - info.append("| Minimum price increment (step): | {}\n".format(iJSON["step"])) + info.append("| Minimum price increment (step): | {:<55} |\n".format(iJSON["step"])) infoText += "".join(info) @@ -877,10 +890,10 @@ def GetCurrentPrices(self, showPrice: bool = False) -> dict: prices["sell"] = [{"price": NanoToFloat(item["price"]["units"], item["price"]["nano"]), "quantity": int(item["quantity"])} for item in pricesResponse["bids"]] # max price of instrument at this time: - prices["limitUp"] = NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]) if "limitUp" in pricesResponse.keys() else None + prices["limitUp"] = round(NanoToFloat(pricesResponse["limitUp"]["units"], pricesResponse["limitUp"]["nano"]), 6) if "limitUp" in pricesResponse.keys() else None # min price of instrument at this time: - prices["limitDown"] = NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]) if "limitDown" in pricesResponse.keys() else None + prices["limitDown"] = round(NanoToFloat(pricesResponse["limitDown"]["units"], pricesResponse["limitDown"]["nano"]), 6) if "limitDown" in pricesResponse.keys() else None # last price of deal with instrument: prices["lastPrice"] = NanoToFloat(pricesResponse["lastPrice"]["units"], pricesResponse["lastPrice"]["nano"]) if "lastPrice" in pricesResponse.keys() else 0 @@ -955,15 +968,15 @@ def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: info = [ "# All available instruments from Tinkoff Broker server for current user token\n\n", - "* **Actual on date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), + "* **Actual on date:** [{} UTC]\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), ] # add instruments count by type: for iType in self.iList.keys(): info.append("* **{}:** [{}]\n".format(iType, len(self.iList[iType]))) - headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step\n" - splitLine = "|--------------|----------------------------------------------------------------|--------------|-----|--------|---------\n" + headerLine = "| Ticker | Full name | FIGI | Cur | Lot | Step |\n" + splitLine = "|--------------|-----------------------------------------------------------|--------------|-----|---------|------------|\n" # generating info tables with all instruments by type: for iType in self.iList.keys(): @@ -971,16 +984,16 @@ def ShowInstrumentsInfo(self, showInstruments: bool = False) -> str: for instrument in self.iList[iType].keys(): iName = self.iList[iType][instrument]["name"] # instrument's name - if len(iName) > 63: - iName = "{}...".format(iName[:60]) # right trim for a long string + if len(iName) > 57: + iName = "{}...".format(iName[:54]) # right trim for a long string - info.append("| {:<12} | {:<63}| {:<13}| {:<4}| {:<7}| {}\n".format( + info.append("| {:<12} | {:<57} | {:<12} | {:<3} | {:<7} | {:<10} |\n".format( self.iList[iType][instrument]["ticker"], iName, self.iList[iType][instrument]["figi"], self.iList[iType][instrument]["currency"], self.iList[iType][instrument]["lot"], - str(self.iList[iType][instrument]["step"]).rstrip("0"), + "{:.10f}".format(self.iList[iType][instrument]["step"]).rstrip("0").rstrip(".") if self.iList[iType][instrument]["step"] > 0 else 0, )) infoText = "".join(info) @@ -1089,55 +1102,54 @@ def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> if instruments is None or not instruments: raise Exception("You must define some of tickers or FIGIs to request it's actual prices!") - uLogger.debug("Requesting current prices of list of instruments from Tinkoff Broker server...") - - iList = [] + requestedInstruments = [] for iName in instruments: if iName not in self.aliases.keys(): - iList.append(iName) + if iName not in requestedInstruments: + requestedInstruments.append(iName) else: - iList.append(self.aliases[iName]) - - unique = set() # create list with every figi only one time with the same order position: - tempNames = [item for item in iList if not (item in unique or unique.add(item))] + if iName not in requestedInstruments: + if self.aliases[iName] not in requestedInstruments: + requestedInstruments.append(self.aliases[iName]) - uLogger.debug("Ordered input list of instruments without duplicates of names: {}".format(tempNames)) + uLogger.debug("Requested instruments without duplicates of tickers and FIGIs: {}".format(requestedInstruments)) - iList = [] # try to get info about all unique instruments: - for iName in tempNames: + onlyUniqueFIGIs = [] + for iName in requestedInstruments: self.ticker = iName - iData = self.SearchByTicker(requestPrice=True) + iData = self.SearchByTicker(requestPrice=False) # trying to find instrument by ticker if not iData: self.ticker = "" self.figi = iName - iData = self.SearchByFIGI(requestPrice=True) + iData = self.SearchByFIGI(requestPrice=False) # trying to find instrument by FIGI if not iData: self.figi = "" uLogger.warning("Instrument [{}] not in list of available instruments for current token!".format(iName)) - if iData: - isUnique = True - for item in iList: - if item["figi"] == iData["figi"] or item["ticker"] == iData["ticker"]: - isUnique = False - break + if iData and iData["figi"] not in onlyUniqueFIGIs: + onlyUniqueFIGIs.append(iData["figi"]) + + uLogger.debug("Unique list of FIGIs: {}".format(onlyUniqueFIGIs)) + uLogger.debug("Requesting current prices from Tinkoff Broker server...") - if isUnique: - iList.append(iData) + iList = [] # trying to get info and current prices about all unique instruments: + for self.figi in onlyUniqueFIGIs: + iData = self.SearchByFIGI(requestPrice=True) + iList.append(iData) if showPrices: info = [ "# Actual prices at: [{} UTC]\n\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M")), - "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr.\n", - "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|------\n", + "| Ticker | FIGI | Type | Prev. close | Last price | Chg. % | Day limits min/max | Actual sell / buy | Curr. |\n", + "|--------------|--------------|------------|-------------|-------------|----------|---------------------|---------------------|-------|\n", ] for item in iList: - info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {}\n".format( + info.append("| {:<12} | {:<12} | {:<10} | {:>11} | {:>11} | {:>7}% | {:>19} | {:>19} | {:<5} |\n".format( item["ticker"], item["figi"], item["type"], @@ -1158,7 +1170,7 @@ def GetListOfPrices(self, instruments: list = None, showPrices: bool = False) -> infoText = "".join(info) if showPrices: - uLogger.info("Only unique instruments are shown:\n{}".format(infoText)) + uLogger.info("Only instruments with unique FIGIs are shown:\n{}".format(infoText)) if self.pricesFile: with open(self.pricesFile, "w", encoding="UTF-8") as fH: @@ -1215,7 +1227,7 @@ def RequestPendingOrders(self) -> list: ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.OrdersService/GetOrders" rawOrders = self.SendAPIRequest(ordersURL, reqType="POST")["orders"] - uLogger.debug("[{}] records about pending orders successfully received".format(len(rawOrders))) + uLogger.debug("[{}] records about pending orders received".format(len(rawOrders))) return rawOrders @@ -1232,16 +1244,23 @@ def RequestStopOrders(self) -> list: ordersURL = self.server + r"/tinkoff.public.invest.api.contract.v1.StopOrdersService/GetStopOrders" rawStopOrders = self.SendAPIRequest(ordersURL, reqType="POST")["stopOrders"] - uLogger.debug("[{}] records about stop orders successfully received".format(len(rawStopOrders))) + uLogger.debug("[{}] records about stop orders received".format(len(rawStopOrders))) return rawStopOrders - def Overview(self, showStatistics: bool = False) -> dict: + def Overview(self, showStatistics: bool = False, details: str = "full") -> dict: """ Get portfolio: all open positions, orders and some statistics for defined accountId. - If `overviewFile` is define then also save information to file. + If `overviewFile`, `overviewDigestFile`, `overviewPositionsFile`, `overviewOrdersFile`, `overviewAnalyticsFile` + are defined then also save information to file. :param showStatistics: if `False` then only dictionary returns, if `True` then show more debug information. + :param details: how detailed should the information be? You should specify one of strings: + `full` - shows full available information about portfolio status (by default), + `positions` - shows only open positions, + `digest` - show a short digest of the portfolio status, + `analytics` - shows only the analytics section and the distribution of the portfolio by various categories, + `orders` - shows only sections of open limits and stop orders. :return: dictionary with client's raw portfolio and some statistics. """ view = { @@ -1288,8 +1307,13 @@ def Overview(self, showStatistics: bool = False) -> dict: } } - if showStatistics: - uLogger.debug("Requesting portfolio of a client. Wait, please...") + details = details.lower() + availableDetails = ["full", "positions", "digest", "analytics", "orders"] + if details not in availableDetails: + details = "full" + uLogger.debug("Requested incorrect details! The `details` must be one of this strings: {}. Details parameter set to `full` be default.".format(availableDetails)) + + uLogger.debug("Requesting portfolio of a client. Wait, please...") portfolioResponse = self.RequestPortfolio() # current user's portfolio (dict) view["raw"]["positions"] = self.RequestPositions() # current open positions by instruments (dict) @@ -1504,7 +1528,14 @@ def Overview(self, showStatistics: bool = False) -> dict: } # --- pending orders sector data: + uniquePendingOrders = [] + uniquePendingOrdersFIGIs = [] for item in view["raw"]["orders"]: + if item["figi"] not in uniquePendingOrdersFIGIs: + uniquePendingOrdersFIGIs.append(item["figi"]) + uniquePendingOrders.append(item) + + for item in uniquePendingOrders: self.figi = item["figi"] instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI @@ -1545,7 +1576,14 @@ def Overview(self, showStatistics: bool = False) -> dict: }) # --- stop orders sector data: + uniqueStopOrders = [] + uniqueStopOrdersFIGIs = [] for item in view["raw"]["stopOrders"]: + if item["figi"] not in uniqueStopOrdersFIGIs: + uniqueStopOrdersFIGIs.append(item["figi"]) + uniqueStopOrders.append(item) + + for item in uniqueStopOrders: self.figi = item["figi"] instrument = self.SearchByFIGI(requestPrice=True) # full raw info about instrument by FIGI @@ -1657,275 +1695,307 @@ def Overview(self, showStatistics: bool = False) -> dict: # --- Prepare text statistics overview in human-readable: if showStatistics: + # Whatever the value `details`, header not changes: info = [ "# Client's portfolio\n\n", - "* **Actual date:** [{}] (UTC)\n".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), - "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), - "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( - "+" if view["stat"]["totalChangesRUB"] > 0 else "", - view["stat"]["totalChangesRUB"], - "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", - view["stat"]["totalChangesPercentRUB"], - ), - "## Open positions\n\n", - "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%)\n", - "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|----------------------\n", - "| Ruble | {:>31} | | | | |\n".format( - "{:.2f} ({:.2f}) rub".format( - view["stat"]["availableRUB"], - view["stat"]["blockedRUB"], - ) - ) + "* **Actual date:** [{} UTC]\n" + "".format(datetime.now(tzutc()).strftime("%Y-%m-%d %H:%M:%S")), ] - def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: - return [ - "| | | | | | |\n", - "| {:<27} | | | | | {:>19} |\n".format( - noTradeStr if noTradeStr else typeStr, - "" if noTradeStr else "{:.2f} RUB".format(CostRUB), - ), - ] - - def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: - return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {}\n".format( - "{} [{}]".format(data["ticker"], data["figi"]), - "{:.2f} ({:.2f}) {}".format( - data["volume"], - data["blocked"], - data["currency"], - ) if showCurrencyName else "{:.0f} ({:.0f})".format( - data["volume"], - data["blocked"], - ), - "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), - "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", - "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", - "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), - "{}{:.2f} {} ({}{:.2f}%)".format( - "+" if data["profit"] > 0 else "", - data["profit"], data["baseCurrencyName"], - "+" if data["percentProfit"] > 0 else "", - data["percentProfit"], + if details in ["full", "positions", "digest"]: + info.extend([ + "* **Portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), + "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n\n".format( + "+" if view["stat"]["totalChangesRUB"] > 0 else "", + view["stat"]["totalChangesRUB"], + "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", + view["stat"]["totalChangesPercentRUB"], ), - ) + ]) - # --- Show currencies section: - if view["stat"]["Currencies"]: - info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) - for item in view["stat"]["Currencies"]: - info.append(_InfoStr(item, showCurrencyName=True)) + if details in ["full", "positions"]: + info.extend([ + "## Open positions\n\n", + "| Ticker [FIGI] | Volume (blocked) | Lots | Curr. price | Avg. price | Current volume cost | Profit (%) |\n", + "|-----------------------------|---------------------------------|----------|--------------|--------------|---------------------|------------------------------|\n", + "| Ruble | {:>31} | | | | | |\n".format( + "{:.2f} ({:.2f}) rub".format( + view["stat"]["availableRUB"], + view["stat"]["blockedRUB"], + ) + ) + ]) - else: - info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) + def _SplitStr(CostRUB: float = 0, typeStr: str = "", noTradeStr: str = "") -> list: + return [ + "| | | | | | | |\n", + "| {:<27} | | | | | {:>19} | |\n".format( + noTradeStr if noTradeStr else typeStr, + "" if noTradeStr else "{:.2f} RUB".format(CostRUB), + ), + ] - # --- Show shares section: - if view["stat"]["Shares"]: - info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) + def _InfoStr(data: dict, showCurrencyName: bool = False) -> str: + return "| {:<27} | {:>31} | {:<8} | {:>12} | {:>12} | {:>19} | {:<28} |\n".format( + "{} [{}]".format(data["ticker"], data["figi"]), + "{:.2f} ({:.2f}) {}".format( + data["volume"], + data["blocked"], + data["currency"], + ) if showCurrencyName else "{:.0f} ({:.0f})".format( + data["volume"], + data["blocked"], + ), + "{:.4f}".format(data["lots"]) if showCurrencyName else "{:.0f}".format(data["lots"]), + "{:.2f} {}".format(data["currentPrice"], data["baseCurrencyName"]) if data["currentPrice"] > 0 else "n/a", + "{:.2f} {}".format(data["average"], data["baseCurrencyName"]) if data["average"] > 0 else "n/a", + "{:.2f} {}".format(data["cost"], data["baseCurrencyName"]), + "{}{:.2f} {} ({}{:.2f}%)".format( + "+" if data["profit"] > 0 else "", + data["profit"], data["baseCurrencyName"], + "+" if data["percentProfit"] > 0 else "", + data["percentProfit"], + ), + ) - for item in view["stat"]["Shares"]: - info.append(_InfoStr(item)) + # --- Show currencies section: + if view["stat"]["Currencies"]: + info.extend(_SplitStr(CostRUB=view["analytics"]["distrByAssets"]["Currencies"]["cost"], typeStr="**Currencies:**")) + for item in view["stat"]["Currencies"]: + info.append(_InfoStr(item, showCurrencyName=True)) - else: - info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) + else: + info.extend(_SplitStr(noTradeStr="**Currencies:** no trades")) - # --- Show bonds section: - if view["stat"]["Bonds"]: - info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) + # --- Show shares section: + if view["stat"]["Shares"]: + info.extend(_SplitStr(CostRUB=view["stat"]["sharesCostRUB"], typeStr="**Shares:**")) - for item in view["stat"]["Bonds"]: - info.append(_InfoStr(item)) + for item in view["stat"]["Shares"]: + info.append(_InfoStr(item)) - else: - info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) + else: + info.extend(_SplitStr(noTradeStr="**Shares:** no trades")) - # --- Show etfs section: - if view["stat"]["Etfs"]: - info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) + # --- Show bonds section: + if view["stat"]["Bonds"]: + info.extend(_SplitStr(CostRUB=view["stat"]["bondsCostRUB"], typeStr="**Bonds:**")) - for item in view["stat"]["Etfs"]: - info.append(_InfoStr(item)) + for item in view["stat"]["Bonds"]: + info.append(_InfoStr(item)) - else: - info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) + else: + info.extend(_SplitStr(noTradeStr="**Bonds:** no trades")) - # --- Show futures section: - if view["stat"]["Futures"]: - info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) + # --- Show etfs section: + if view["stat"]["Etfs"]: + info.extend(_SplitStr(CostRUB=view["stat"]["etfsCostRUB"], typeStr="**Etfs:**")) - for item in view["stat"]["Futures"]: - info.append(_InfoStr(item)) + for item in view["stat"]["Etfs"]: + info.append(_InfoStr(item)) - else: - info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) - - # --- Show pending orders section: - if view["stat"]["orders"]: - info.extend([ - "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), - "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC)\n", - "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|---------------------\n", - ]) - for item in view["stat"]["orders"]: - info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {}\n".format( - "{} [{}]".format(item["ticker"], item["figi"]), - item["orderID"], - "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), - "{} {} ({}{:.2f}%)".format( - "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), - item["baseCurrencyName"], - "+" if item["percentChanges"] > 0 else "", - float(item["percentChanges"]), - ), - "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), - item["action"], - item["type"], - item["date"], - )) + else: + info.extend(_SplitStr(noTradeStr="**Etfs:** no trades")) - else: - info.append("\n## Total pending limit-orders: 0\n") + # --- Show futures section: + if view["stat"]["Futures"]: + info.extend(_SplitStr(CostRUB=view["stat"]["futuresCostRUB"], typeStr="**Futures:**")) - # --- Show stop orders section: - if view["stat"]["stopOrders"]: - info.extend([ - "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), - "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC)\n", - "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------\n", - ]) - for item in view["stat"]["stopOrders"]: - info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {}\n".format( - "{} [{}]".format(item["ticker"], item["figi"]), - item["orderID"], - item["lotsRequested"], - "{} {} ({}{:.2f}%)".format( - "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), - item["baseCurrencyName"], - "+" if item["percentChanges"] > 0 else "", - float(item["percentChanges"]), - ), - "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), - "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], - item["action"], - item["type"], - item["expType"], - item["createDate"], - item["expDate"], - )) + for item in view["stat"]["Futures"]: + info.append(_InfoStr(item)) - else: - info.append("\n## Total stop-orders: 0\n") + else: + info.extend(_SplitStr(noTradeStr="**Futures:** no trades")) - # -- Show analytics section: - if view["stat"]["portfolioCostRUB"] > 0: - info.extend([ - "\n# Analytics\n" - "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), - "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( - "+" if view["stat"]["totalChangesRUB"] > 0 else "", - view["stat"]["totalChangesRUB"], - "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", - view["stat"]["totalChangesPercentRUB"], - ), - "\n## Portfolio distribution by assets\n" - "\n| Type | Uniques | Percent | Current cost\n", - "|------------|---------|---------|-----------------\n", - ]) + if details in ["full", "orders"]: + # --- Show pending orders section: + if view["stat"]["orders"]: + info.extend([ + "\n## Opened pending limit-orders: {}\n".format(len(view["stat"]["orders"])), + "\n| Ticker [FIGI] | Order ID | Lots (exec.) | Current price (% delta) | Target price | Action | Type | Create date (UTC) |\n", + "|-----------------------------|----------------|--------------|-------------------------|---------------|-----------|-----------|-------------------------|\n", + ]) - for key in view["analytics"]["distrByAssets"].keys(): - if view["analytics"]["distrByAssets"][key]["cost"] > 0: - info.append("| {:<10} | {:<7} | {:<7} | {:.2f} rub\n".format( - key, - view["analytics"]["distrByAssets"][key]["uniques"], - "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), - view["analytics"]["distrByAssets"][key]["cost"], + for item in view["stat"]["orders"]: + info.append("| {:<27} | {:<14} | {:<12} | {:>23} | {:>13} | {:<9} | {:<9} | {:<23} |\n".format( + "{} [{}]".format(item["ticker"], item["figi"]), + item["orderID"], + "{} ({})".format(item["lotsRequested"], item["lotsExecuted"]), + "{} {} ({}{:.2f}%)".format( + "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), + item["baseCurrencyName"], + "+" if item["percentChanges"] > 0 else "", + float(item["percentChanges"]), + ), + "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), + item["action"], + item["type"], + item["date"], )) - maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) - info.extend([ - "\n## Portfolio distribution by companies\n" - "\n| Company{} | Percent | Current cost\n".format(" " * (maxLenNames - 7)), - "|--------{}-|---------|-----------------\n".format("-" * (maxLenNames - 7)), - ]) + else: + info.append("\n## Total pending limit-orders: 0\n") + + # --- Show stop orders section: + if view["stat"]["stopOrders"]: + info.extend([ + "\n## Opened stop-orders: {}\n".format(len(view["stat"]["stopOrders"])), + "\n| Ticker [FIGI] | Stop order ID | Lots | Current price (% delta) | Target price | Limit price | Action | Type | Expire type | Create date (UTC) | Expiration (UTC) |\n", + "|-----------------------------|--------------------------------------|--------|-------------------------|---------------|---------------|-----------|-------------|--------------|---------------------|---------------------|\n", + ]) - for company in view["analytics"]["distrByCompanies"].keys(): - if view["analytics"]["distrByCompanies"][company]["cost"] > 0: - nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) - info.append("| {} | {:<7} | {:.2f} rub\n".format( - "{}{}{}".format( - "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", - company, - "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), + for item in view["stat"]["stopOrders"]: + info.append("| {:<27} | {:<14} | {:<6} | {:>23} | {:>13} | {:>13} | {:<9} | {:<11} | {:<12} | {:<19} | {:<19} |\n".format( + "{} [{}]".format(item["ticker"], item["figi"]), + item["orderID"], + item["lotsRequested"], + "{} {} ({}{:.2f}%)".format( + "{}".format(item["currentPrice"]) if isinstance(item["currentPrice"], str) else "{:.2f}".format(float(item["currentPrice"])), + item["baseCurrencyName"], + "+" if item["percentChanges"] > 0 else "", + float(item["percentChanges"]), ), - "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), - view["analytics"]["distrByCompanies"][company]["cost"], + "{:.2f} {}".format(float(item["targetPrice"]), item["baseCurrencyName"]), + "{:.2f} {}".format(float(item["limitPrice"]), item["baseCurrencyName"]) if item["limitPrice"] and item["limitPrice"] != item["targetPrice"] else TKS_ORDER_TYPES["ORDER_TYPE_MARKET"], + item["action"], + item["type"], + item["expType"], + item["createDate"], + item["expDate"], )) - maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) - info.extend([ - "\n## Portfolio distribution by sectors\n" - "\n| Sector{} | Percent | Current cost\n".format(" " * (maxLenSectors - 6)), - "|-------{}-|---------|-----------------\n".format("-" * (maxLenSectors - 6)), - ]) + else: + info.append("\n## Total stop-orders: 0\n") - for sector in view["analytics"]["distrBySectors"].keys(): - if view["analytics"]["distrBySectors"][sector]["cost"] > 0: - info.append("| {}{} | {:<7} | {:.2f} rub\n".format( - sector, - "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), - "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), - view["analytics"]["distrBySectors"][sector]["cost"], - )) + if details in ["full", "analytics"]: + # -- Show analytics section: + if view["stat"]["portfolioCostRUB"] > 0: + info.extend([ + "\n# Analytics\n" + "\n* **Current total portfolio cost:** {:.2f} RUB\n".format(view["stat"]["portfolioCostRUB"]), + "* **Changes:** {}{:.2f} RUB ({}{:.2f}%)\n".format( + "+" if view["stat"]["totalChangesRUB"] > 0 else "", + view["stat"]["totalChangesRUB"], + "+" if view["stat"]["totalChangesPercentRUB"] > 0 else "", + view["stat"]["totalChangesPercentRUB"], + ), + "\n## Portfolio distribution by assets\n" + "\n| Type | Uniques | Percent | Current cost |\n", + "|------------|---------|---------|--------------------|\n", + ]) - maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) - info.extend([ - "\n## Portfolio distribution by currencies\n" - "\n| Instruments currencies{} | Percent | Current cost\n".format(" " * (maxLenMoney - 22)), - "|-----------------------{}-|---------|-----------------\n".format("-" * (maxLenMoney - 22)), - ]) + for key in view["analytics"]["distrByAssets"].keys(): + if view["analytics"]["distrByAssets"][key]["cost"] > 0: + info.append("| {:<10} | {:<7} | {:<7} | {:<18} |\n".format( + key, + view["analytics"]["distrByAssets"][key]["uniques"], + "{:.2f}%".format(view["analytics"]["distrByAssets"][key]["percent"]), + "{:.2f} rub".format(view["analytics"]["distrByAssets"][key]["cost"]), + )) - for curr in view["analytics"]["distrByCurrencies"].keys(): - if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: - nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) - info.append("| {} | {:<7} | {:.2f} rub\n".format( - "[{}] {}{}".format( - curr, - view["analytics"]["distrByCurrencies"][curr]["name"], - "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), - ), - "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), - view["analytics"]["distrByCurrencies"][curr]["cost"], - )) + maxLenNames = 3 + max([len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) for company in view["analytics"]["distrByCompanies"].keys()]) + info.extend([ + "\n## Portfolio distribution by companies\n" + "\n| Company{} | Percent | Current cost |\n".format(" " * (maxLenNames - 7)), + "|--------{}-|---------|--------------------|\n".format("-" * (maxLenNames - 7)), + ]) - maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) - info.extend([ - "\n## Portfolio distribution by countries\n" - "\n| Assets by country{} | Percent | Current cost\n".format(" " * (maxLenCountry - 17)), - "|------------------{}-|---------|-----------------\n".format("-" * (maxLenCountry - 17)), - ]) + for company in view["analytics"]["distrByCompanies"].keys(): + if view["analytics"]["distrByCompanies"][company]["cost"] > 0: + nameLen = 3 + len(company) + len(view["analytics"]["distrByCompanies"][company]["ticker"]) + info.append("| {} | {:<7} | {:<18} |\n".format( + "{}{}{}".format( + "[{}] ".format(view["analytics"]["distrByCompanies"][company]["ticker"]) if view["analytics"]["distrByCompanies"][company]["ticker"] else "", + company, + "" if nameLen == maxLenNames else "{}".format(" " * (maxLenNames - nameLen) if view["analytics"]["distrByCompanies"][company]["ticker"] else " " * (maxLenNames - nameLen + 3)), + ), + "{:.2f}%".format(view["analytics"]["distrByCompanies"][company]["percent"]), + "{:.2f} rub".format(view["analytics"]["distrByCompanies"][company]["cost"]), + )) - for country in view["analytics"]["distrByCountries"].keys(): - if view["analytics"]["distrByCountries"][country]["cost"] > 0: - nameLen = len(country) - info.append("| {} | {:<7} | {:.2f} rub\n".format( - "{}{}".format( - country, - "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), - ), - "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), - view["analytics"]["distrByCountries"][country]["cost"], - )) + maxLenSectors = max([len(sector) for sector in view["analytics"]["distrBySectors"].keys()]) + info.extend([ + "\n## Portfolio distribution by sectors\n" + "\n| Sector{} | Percent | Current cost |\n".format(" " * (maxLenSectors - 6)), + "|-------{}-|---------|--------------------|\n".format("-" * (maxLenSectors - 6)), + ]) + + for sector in view["analytics"]["distrBySectors"].keys(): + if view["analytics"]["distrBySectors"][sector]["cost"] > 0: + info.append("| {}{} | {:<7} | {:<18} |\n".format( + sector, + "" if len(sector) == maxLenSectors else " " * (maxLenSectors - len(sector)), + "{:.2f}%".format(view["analytics"]["distrBySectors"][sector]["percent"]), + "{:.2f} rub".format(view["analytics"]["distrBySectors"][sector]["cost"]), + )) + + maxLenMoney = 3 + max([len(currency) + len(view["analytics"]["distrByCurrencies"][currency]["name"]) for currency in view["analytics"]["distrByCurrencies"].keys()]) + info.extend([ + "\n## Portfolio distribution by currencies\n" + "\n| Instruments currencies{} | Percent | Current cost |\n".format(" " * (maxLenMoney - 22)), + "|-----------------------{}-|---------|--------------------|\n".format("-" * (maxLenMoney - 22)), + ]) + + for curr in view["analytics"]["distrByCurrencies"].keys(): + if view["analytics"]["distrByCurrencies"][curr]["cost"] > 0: + nameLen = 3 + len(curr) + len(view["analytics"]["distrByCurrencies"][curr]["name"]) + info.append("| {} | {:<7} | {:<18} |\n".format( + "[{}] {}{}".format( + curr, + view["analytics"]["distrByCurrencies"][curr]["name"], + "" if nameLen == maxLenMoney else " " * (maxLenMoney - nameLen), + ), + "{:.2f}%".format(view["analytics"]["distrByCurrencies"][curr]["percent"]), + "{:.2f} rub".format(view["analytics"]["distrByCurrencies"][curr]["cost"]), + )) + + maxLenCountry = max(17, max([len(country) for country in view["analytics"]["distrByCountries"].keys()])) + info.extend([ + "\n## Portfolio distribution by countries\n" + "\n| Assets by country{} | Percent | Current cost |\n".format(" " * (maxLenCountry - 17)), + "|------------------{}-|---------|--------------------|\n".format("-" * (maxLenCountry - 17)), + ]) + + for country in view["analytics"]["distrByCountries"].keys(): + if view["analytics"]["distrByCountries"][country]["cost"] > 0: + nameLen = len(country) + info.append("| {} | {:<7} | {:<18} |\n".format( + "{}{}".format( + country, + "" if nameLen == maxLenCountry else " " * (maxLenCountry - nameLen), + ), + "{:.2f}%".format(view["analytics"]["distrByCountries"][country]["percent"]), + "{:.2f} rub".format(view["analytics"]["distrByCountries"][country]["cost"]), + )) infoText = "".join(info) if showStatistics: - uLogger.info("Statistics of client's portfolio:\n{}".format(infoText)) + uLogger.info(infoText) + + if details == "full" and self.overviewFile: + filename = self.overviewFile - if self.overviewFile: - with open(self.overviewFile, "w", encoding="UTF-8") as fH: + elif details == "digest" and self.overviewDigestFile: + filename = self.overviewDigestFile + + elif details == "positions" and self.overviewPositionsFile: + filename = self.overviewPositionsFile + + elif details == "orders" and self.overviewOrdersFile: + filename = self.overviewOrdersFile + + elif details == "analytics" and self.overviewAnalyticsFile: + filename = self.overviewAnalyticsFile + + else: + filename = "" + + if filename: + with open(filename, "w", encoding="UTF-8") as fH: fH.write(infoText) - uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(self.overviewFile))) + uLogger.info("Client's portfolio is saved to file: [{}]".format(os.path.abspath(filename))) return view @@ -1937,7 +2007,7 @@ def Deals(self, start: str = None, end: str = None, printDeals: bool = False, sh :param start: see docstring in `GetDatesAsString()` method :param end: see docstring in `GetDatesAsString()` method - :param printDeals: if `True` then also print all records to the console. + :param printDeals: if `True` then also prints all records to the console. :param showCancelled: if `False` then remove information about cancelled operations from the deals report. :return: original list of dictionaries with history of deals records from API ("operations" key): https://tinkoff.github.io/investAPI/swagger-ui/#/OperationsService/OperationsService_GetOperations @@ -1955,8 +2025,8 @@ def Deals(self, start: str = None, end: str = None, printDeals: bool = False, sh # --- output report in human-readable format: if printDeals or self.reportFile: - splitLine1 = "| | | | |\n" # Summary section - splitLine2 = "| | | | | | | |\n" # Operations section + splitLine1 = "| | | | | |\n" # Summary section + splitLine2 = "| | | | | | | | |\n" # Operations section nextDay = "" info = ["# Client's operations\n\n* **Period:** from [{}] to [{}]\n\n## Summary (operations executed only)\n\n".format(startDate.split("T")[0], endDate.split("T")[0])] @@ -2074,14 +2144,14 @@ def Deals(self, start: str = None, end: str = None, printDeals: bool = False, sh # --- view "Actions" lines: info.extend([ - "| 1 | 2 | 3 | 4 | 5\n", - "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------\n", - "| **Actions:** | Trades: {:<21} | Trading volumes: | |\n".format(customStat["opsCount"]), - "| | Buy: {:<22} | {:<28} | |\n".format( + "| 1 | 2 | 3 | 4 | 5 |\n", + "|----------------------------|-------------------------------|------------------------------|----------------------|------------------------|\n", + "| **Actions:** | Trades: {:<21} | Trading volumes: | | |\n".format(customStat["opsCount"]), + "| | Buy: {:<22} | {:<28} | | |\n".format( "{} ({:.1f}%)".format(customStat["buyCount"], 100 * customStat["buyCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, " rub, buy: {:<16}".format("{:.2f}".format(customStat["buyTotal"]["rub"])) if customStat["buyTotal"]["rub"] != 0 else " —", ), - "| | Sell: {:<21} | {:<28} | |\n".format( + "| | Sell: {:<21} | {:<28} | | |\n".format( "{} ({:.1f}%)".format(customStat["sellCount"], 100 * customStat["sellCount"] / customStat["opsCount"]) if customStat["opsCount"] != 0 else 0, " rub, sell: {:<13}".format("+{:.2f}".format(customStat["sellTotal"]["rub"])) if customStat["sellTotal"]["rub"] != 0 else " —", ), @@ -2093,10 +2163,10 @@ def Deals(self, start: str = None, end: str = None, printDeals: bool = False, sh continue info.extend([ - "| | | {:<28} | |\n".format( + "| | | {:<28} | | |\n".format( " {}, buy: {:<16}".format(key, "{:.2f}".format(customStat["buyTotal"][key]) if key and key in customStat["buyTotal"].keys() and customStat["buyTotal"][key] != 0 else 0) ), - "| | | {:<28} | |\n".format( + "| | | {:<28} | | |\n".format( " {}, sell: {:<13}".format(key, "+{:.2f}".format(customStat["sellTotal"][key]) if key and key in customStat["sellTotal"].keys() and customStat["sellTotal"][key] != 0 else 0) ), ]) @@ -2104,7 +2174,7 @@ def Deals(self, start: str = None, end: str = None, printDeals: bool = False, sh info.append(splitLine1) def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") -> str: - return "| | {:<29} | {:<28} | {:<20} | {:<22}\n".format( + return "| | {:<29} | {:<28} | {:<20} | {:<22} |\n".format( " {}: {}{:.2f}".format(cur, "+" if data1[cur] > 0 else "", data1[cur]) if cur and cur in data1.keys() and data1[cur] != 0 else " —", " {}: {}{:.2f}".format(cur, "+" if data2[cur] > 0 else "", data2[cur]) if cur and cur in data2.keys() and data2[cur] != 0 else " —", " {}: {}{:.2f}".format(cur, "+" if data3[cur] > 0 else "", data3[cur]) if cur and cur in data3.keys() and data3[cur] != 0 else " —", @@ -2112,7 +2182,7 @@ def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") ) # --- view "Payments" lines: - info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income:\n") + info.append("| **Payments:** | Deposit on broker account: | Withdrawals: | Dividends income: | Coupons income: |\n") paymentsKeys = sorted(list(set(list(customStat["payIn"].keys()) + list(customStat["payOut"].keys()) + list(customStat["divs"].keys()) + list(customStat["coupons"].keys())))) for key in paymentsKeys: @@ -2121,7 +2191,7 @@ def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") info.append(splitLine1) # --- view "Commissions and taxes" lines: - info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections:\n") + info.append("| **Commissions and taxes:** | Broker commissions: | Service commissions: | Margin commissions: | All taxes/corrections: |\n") comKeys = sorted(list(set(list(customStat["brokerCom"].keys()) + list(customStat["serviceCom"].keys()) + list(customStat["marginCom"].keys()) + list(customStat["allTaxes"].keys())))) for key in comKeys: @@ -2131,8 +2201,8 @@ def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") info.extend([ "\n## All operations{}\n\n".format("" if showCancelled else " (without cancelled status)"), - "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type\n", - "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------\n", + "| Date and time | FIGI | Ticker | Asset | Value | Payment | Status | Operation type |\n", + "|---------------------|--------------|--------------|------------|-----------|-----------------|------------|--------------------------------------------------------------------|\n", ]) else: @@ -2156,7 +2226,7 @@ def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") else: nextDay = item["date"].split("T")[0] # saving current day for splitting - info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {}\n".format( + info.append("| {:<19} | {:<12} | {:<12} | {:<10} | {:<9} | {:>15} | {:<10} | {:<66} |\n".format( item["date"].replace("T", " ").replace("Z", "").split(".")[0], self.figi if self.figi else "—", instrument["ticker"] if instrument else "—", @@ -2180,167 +2250,183 @@ def _InfoStr(data1: dict, data2: dict, data3: dict, data4: dict, cur: str = "") return ops, customStat - def History(self, onlyMissing: bool = False): + def History(self, start: str = None, end: str = None, interval: str = "hour", onlyMissing: bool = False, + csvSep: str = ",", printCandles: bool = False, + ) -> pd.DataFrame: """ - This method returns last history candles of the current instrument defined by `ticker`. - If `historyFile` is not None then method save history to this file, otherwise return only pandas dataframe. - `historyLength` define how many candles returns from past to current date. - `historyInterval` define candle interval. Available values are strings: `"1min"`, `"2min"`, `"3min"`, `"5min"`, - `"10min"`, `"15min"`, `"30min"`, `"hour"`, `"day"`, `"week"`, `"month"`. Default: `"hour"`. - Maximum requested history date in the past: `1970.01.02 03:45` + This method returns last history candles of the current instrument defined by `ticker` or `figi` (FIGI id). + + History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. + Warning! Broker server used ISO UTC time by default. - :param onlyMissing: if history file define then add only last missing candles, do not request all history length. False by default. - WARNING! History appends only from last candle to current time with replace last candle! Intervals must be similar! - :return: pandas dataframe with prices history. Columns: `date`, `time`, `open`, `high`, `low`, `close`, `volume`. + If `historyFile` is not `None` then method save history to file, otherwise return only pandas dataframe. + Also, `historyFile` used to update history with `onlyMissing` parameter. + + :param start: see docstring in `GetDatesAsString()` method. + :param end: see docstring in `GetDatesAsString()` method. + :param interval: this is a candle interval. Current available values are `"1min"`, `"5min"`, `"15min"`, + `"hour"`, `"day"`. Default: `"hour"`. + :param onlyMissing: if `True` then add only last missing candles, do not request all history length from `start`. + False by default. Warning! History appends only from last candle to current time + with always update last candle! + :param csvSep: separator if .csv-file is used, `,` by default. + :param printCandles: if `True` then also prints pandas dataframe to the console. + :return: pandas dataframe with prices history. Headers of columns are defined by default: + `["date", "time", "open", "high", "low", "close", "volume"]`. """ + strStartDate, strEndDate = GetDatesAsString(start, end) # example: ("2020-01-01T00:00:00Z", "2022-12-31T23:59:59Z") + headers = ["date", "time", "open", "high", "low", "close", "volume"] # sequence and names of column headers history = None # empty pandas object for history - # TODO: update history to work with api v2 - # if self.historyLength < 1: - # raise Exception("History length parameter must be >=1!") - # - # if self.historyInterval not in TKS_TIMEFRAMES.keys(): - # raise Exception("Interval parameter must be string with available values: 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month.") - # - # if not (self.ticker or self.figi): - # raise Exception("self.ticker or self.figi variables must be defined!") - # - # if self.ticker and not self.figi: - # instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) - # self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" - # - # endDate = datetime.now(tzutc()) # current time for request history - # tempOld = None # pandas object for old history, if --only-missing key present - # lastTime = None # datetime object of last old candle in file - # minStartDate = datetime.strptime("1970.01.02 03:45", "%Y.%m.%d %H:%M").astimezone(tzutc()) # Maximum requested history date in the past - # - # # get old history saved earlier in file: - # if onlyMissing and self.historyFile and os.path.exists(self.historyFile): - # uLogger.debug("--only-missing key present, so auto decreasing --length value...") - # uLogger.debug("Only append missing last history candles at the end of the file [{}]".format(os.path.abspath(self.historyFile))) - # - # tempOld = pd.read_csv(self.historyFile, sep=",", header=None, names=["date", "time", "open", "high", "low", "close", "volume"]) - # - # tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" - # tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string - # tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" - # tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string - # - # # get last datetime object from last string in file or minus 1 delta if file is empty: - # if len(tempOld) > 0: - # lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").astimezone(tzutc()) - # - # else: - # lastTime = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"]) - # uLogger.warning("No history in file, set last date to request at [{}]".format(lastTime)) - # - # delta = endDate - lastTime # current time minus last time in file - # deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between last datetime and current datetime - # - # # calculate new (decreased) history length to download: - # self.historyLength = deltaMinutes // TKS_TIMEFRAMES[self.historyInterval]["minutes"] - # if deltaMinutes % TKS_TIMEFRAMES[self.historyInterval]["minutes"] > 0: - # self.historyLength += 1 # to avoid fraction time - # - # tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time - # - # if self.figi: - # blocks = 1 if self.historyLength <= TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] else 1 + self.historyLength // TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] - # responseJSONs = [] # raw history blocks - # - # uLogger.debug("Request last history from Tinkoff Broker server for ticker [{}], FIGI [{}]...".format(self.ticker, self.figi)) - # - # uLogger.debug("Requested history length: [{}], interval: [{}]".format(self.historyLength, self.historyInterval)) - # uLogger.debug("User requested time period is about from [{}] to [{}]".format( - # (endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * self.historyLength)).strftime("%Y-%m-%d %H:%M:%S"), - # endDate.strftime("%Y-%m-%d %H:%M:%S"), - # )) - # - # uLogger.debug("Blocks count: [{}], max candles in block for this interval: [{}]".format(blocks, TKS_TIMEFRAMES[self.historyInterval]["maxCandles"])) - # - # oldFlag = False - # for item in range(blocks): - # tail = self.historyLength % TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] if item + 1 == blocks else TKS_TIMEFRAMES[self.historyInterval]["maxCandles"] - # startDate = endDate - timedelta(minutes=TKS_TIMEFRAMES[self.historyInterval]["minutes"] * tail) - # - # if startDate < minStartDate: - # startDate = minStartDate # set minimum date in the past if delta is too long - # uLogger.debug("Date in the past is too old for request. Set start time to [{}]".format(minStartDate.strftime("%Y-%m-%d %H:%M:%S"))) - # oldFlag = True - # - # uLogger.debug("Block time period: from [{}] to [{}] ({}/{})".format( - # startDate.strftime("%Y-%m-%d %H:%M:%S"), - # endDate.strftime("%Y-%m-%d %H:%M:%S"), - # item + 1, - # blocks, - # )) - # - # historyURL = self.server + r"/market/candles?figi={}&from={}&to={}&interval={}".format( - # self.figi, - # quote(startDate.isoformat()), - # quote(endDate.isoformat()), - # self.historyInterval, - # ) - # responseJSON = self.SendAPIRequest(historyURL, debug=False)["payload"]["candles"] - # - # responseJSONs = responseJSON + responseJSONs # add more old history behind newest dates - # endDate = startDate - # - # if oldFlag: break - # - # if responseJSONs: - # tempHistory = pd.DataFrame( - # data={ - # "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], - # "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], - # "open": [item["o"] for item in responseJSONs], - # "high": [item["h"] for item in responseJSONs], - # "low": [item["l"] for item in responseJSONs], - # "close": [item["c"] for item in responseJSONs], - # "volume": [item["v"] for item in responseJSONs], - # }, - # index=range(len(responseJSONs)), - # columns=["date", "time", "open", "high", "low", "close", "volume"], - # ) - # tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") - # tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") - # - # # append only newest candles to old history if --only-missing key present: - # if onlyMissing and tempOld is not None and lastTime is not None: - # indx = 0 # find start index in given from server tempHistory data: - # for i, item in tempHistory.iterrows(): - # curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").astimezone(tzutc()) - # if curTime == lastTime: - # uLogger.debug("History candles will be updated starting from the candle with date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) - # indx = i - # break - # - # history = tempOld.append(tempHistory[indx:], ignore_index=True) - # - # else: - # history = tempHistory # if no --only-missing key then load full data from server - # - # uLogger.debug("Showing last 3 rows of candles history:") - # for line in pd.DataFrame.to_string( - # history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], - # max_cols=20, - # ).split("\n"): - # uLogger.debug(line) - # - # if self.historyFile is not None: - # if history is not None: - # history.to_csv(self.historyFile, sep=",", index=False, header=False) - # uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format( - # self.ticker, - # self.figi, - # self.historyInterval, - # os.path.abspath(self.historyFile), - # )) - # - # else: - # uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) - # - # else: - # uLogger.debug("--output key is not defined. Parsed history file not saved to .csv-file, only pandas dataframe returns.") + + if interval not in TKS_CANDLE_INTERVALS.keys(): + raise Exception("Interval parameter must be string with current available values: `1min`, `5min`, `15min`, `hour` and `day`.") + + if not (self.ticker or self.figi): + raise Exception("Ticker or FIGI must be defined!") + + if self.ticker and not self.figi: + instrumentByTicker = self.SearchByTicker(requestPrice=False, debug=False) + self.figi = instrumentByTicker["figi"] if instrumentByTicker else "" + + if self.figi and not self.ticker: + instrumentByFIGI = self.SearchByFIGI(requestPrice=False, debug=False) + self.ticker = instrumentByFIGI["ticker"] if instrumentByFIGI else "" + + dtStart = datetime.strptime(strStartDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from start time string + dtEnd = datetime.strptime(strEndDate, TKS_DATE_TIME_FORMAT).replace(tzinfo=tzutc()) # datetime object from end time string + if interval.lower() != "day": + dtEnd += timedelta(seconds=1) # adds 1 sec for requests, because day end returned by `GetDatesAsString()` as 23:59:59 + + delta = dtEnd - dtStart # current UTC time minus last time in file + deltaMinutes = delta.days * 1440 + delta.seconds // 60 # minutes between start and end dates + + # calculate history length in candles: + length = deltaMinutes // TKS_CANDLE_INTERVALS[interval][1] + if deltaMinutes % TKS_CANDLE_INTERVALS[interval][1] > 0: + length += 1 # to avoid fraction time + + # calculate data blocks count: + blocks = 1 if length < TKS_CANDLE_INTERVALS[interval][2] else 1 + length // TKS_CANDLE_INTERVALS[interval][2] + + uLogger.debug("Original requested time period in local time: from [{}] to [{}]".format(start, end)) + uLogger.debug("Requested time period is about from [{}] UTC to [{}] UTC".format(strStartDate, strEndDate)) + uLogger.debug("Calculated history length: [{}], interval: [{}]".format(length, interval)) + uLogger.debug("Data blocks, count: [{}], max candles in block: [{}]".format(blocks, TKS_CANDLE_INTERVALS[interval][2])) + uLogger.debug("Requesting history candlesticks, ticker: [{}], FIGI: [{}]. Wait, please...".format(self.ticker, self.figi)) + + tempOld = None # pandas object for old history, if --only-missing key present + lastTime = None # datetime object of last old candle in file + + if onlyMissing and self.historyFile is not None and self.historyFile and os.path.exists(self.historyFile): + uLogger.debug("--only-missing key present, add only last missing candles...") + uLogger.debug("History file will be updated: [{}]".format(os.path.abspath(self.historyFile))) + + tempOld = pd.read_csv(self.historyFile, sep=csvSep, header=None, names=headers) + + tempOld["date"] = pd.to_datetime(tempOld["date"]) # load date "as is" + tempOld["date"] = tempOld["date"].dt.strftime("%Y.%m.%d") # convert date to string + tempOld["time"] = pd.to_datetime(tempOld["time"]) # load time "as is" + tempOld["time"] = tempOld["time"].dt.strftime("%H:%M") # convert time to string + + # get last datetime object from last string in file or minus 1 delta if file is empty: + if len(tempOld) > 0: + lastTime = datetime.strptime(tempOld.date.iloc[-1] + " " + tempOld.time.iloc[-1], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) + + else: + lastTime = dtEnd - timedelta(days=1) # history file is empty, so last date set at -1 day + + tempOld = tempOld[:-1] # always remove last old candle because it may be incompletely at the current time + + responseJSONs = [] # raw history blocks of data + + blockEnd = dtEnd + for item in range(blocks): + tail = length % TKS_CANDLE_INTERVALS[interval][2] if item + 1 == blocks else TKS_CANDLE_INTERVALS[interval][2] + blockStart = blockEnd - timedelta(minutes=TKS_CANDLE_INTERVALS[interval][1] * tail) + + uLogger.debug("[Block #{}/{}] time period: [{}] UTC - [{}] UTC".format( + item + 1, blocks, blockStart.strftime(TKS_DATE_TIME_FORMAT), blockEnd.strftime(TKS_DATE_TIME_FORMAT), + )) + + if blockStart == blockEnd: + uLogger.debug("Skipped this zero-length block...") + + else: + # REST API for request: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles + historyURL = self.server + r"/tinkoff.public.invest.api.contract.v1.MarketDataService/GetCandles" + self.body = str({ + "figi": self.figi, + "from": blockStart.strftime(TKS_DATE_TIME_FORMAT), + "to": blockEnd.strftime(TKS_DATE_TIME_FORMAT), + "interval": TKS_CANDLE_INTERVALS[interval][0] + }) + responseJSON = self.SendAPIRequest(historyURL, reqType="POST", retry=1, pause=1, debug=False) + + if "code" in responseJSON.keys(): + uLogger.debug("An issue occurred and block #{}/{} is empty".format(item + 1, blocks)) + + else: + if (start.lower() == "yesterday" or start == end) and interval == "day" and len(responseJSON["candles"]) > 1: + responseJSON["candles"] = responseJSON["candles"][:-1] # removes last candle for "yesterday" request + + responseJSONs = responseJSON["candles"] + responseJSONs # add more old history behind newest dates + + blockEnd = blockStart + + printCount = len(responseJSONs) # candles to show in console + if responseJSONs: + tempHistory = pd.DataFrame( + data={ + "date": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], + "time": [pd.to_datetime(item["time"]).astimezone(tzutc()) for item in responseJSONs], + "open": [NanoToFloat(item["open"]["units"], item["open"]["nano"]) for item in responseJSONs], + "high": [NanoToFloat(item["high"]["units"], item["high"]["nano"]) for item in responseJSONs], + "low": [NanoToFloat(item["low"]["units"], item["low"]["nano"]) for item in responseJSONs], + "close": [NanoToFloat(item["close"]["units"], item["close"]["nano"]) for item in responseJSONs], + "volume": [int(item["volume"]) for item in responseJSONs], + }, + index=range(len(responseJSONs)), + columns=["date", "time", "open", "high", "low", "close", "volume"], + ) + tempHistory["date"] = tempHistory["date"].dt.strftime("%Y.%m.%d") + tempHistory["time"] = tempHistory["time"].dt.strftime("%H:%M") + + # append only newest candles to old history if --only-missing key present: + if onlyMissing and tempOld is not None and lastTime is not None: + index = 0 # find start index in tempHistory data: + + for i, item in tempHistory.iterrows(): + curTime = datetime.strptime(item["date"] + " " + item["time"], "%Y.%m.%d %H:%M").replace(tzinfo=tzutc()) + + if curTime == lastTime: + uLogger.debug("History will be updated starting from the date: [{}]".format(curTime.strftime("%Y-%m-%d %H:%M:%S"))) + index = i + printCount = index + 1 + break + + history = pd.concat([tempOld, tempHistory[index:]], ignore_index=True) + + else: + history = tempHistory # if no `--only-missing` key then load full data from server + + uLogger.debug("Last 3 rows of received history:\n{}".format(pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-3:], max_cols=20, index=False))) + + if printCandles and history is not None and not history.empty: + uLogger.info("Here's requested history between [{}] UTC and [{}] UTC, not-empty candles count: [{}]\n{}".format( + strStartDate.replace("T", " ").replace("Z", ""), strEndDate.replace("T", " ").replace("Z", ""), len(history[-printCount:]), + pd.DataFrame.to_string(history[["date", "time", "open", "high", "low", "close", "volume"]][-printCount:], max_cols=20, index=False), + )) + + if self.historyFile is not None: + if history is not None and not history.empty: + history.to_csv(self.historyFile, sep=csvSep, index=False, header=None) + uLogger.info("Ticker [{}], FIGI [{}], tf: [{}], history saved: [{}]".format(self.ticker, self.figi, interval, os.path.abspath(self.historyFile))) + + else: + uLogger.warning("Empty history received! File NOT updated: [{}]".format(os.path.abspath(self.historyFile))) + + else: + uLogger.debug("--output key is not defined. Parsed history file not saved to file, only pandas dataframe returns.") return history @@ -3034,11 +3120,12 @@ def ParseArgs(): parser.add_argument("--depth", type=int, default=1, help="Option: Depth of Market (DOM) can be >=1, 1 by default.") parser.add_argument("--no-cancelled", "--no-canceled", action="store_true", default=False, help="Option: remove information about cancelled operations from the deals report by the `--deals` key. `False` by default.") - parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If None then used default files.") + parser.add_argument("--output", type=str, default=None, help="Option: replace default paths to output files for some commands. If `None` then used default files.") + # parser.add_argument("--output-type", type=str, choices=[None, ".md", ".csv", ".xlsx"], default=None, help="Option: replace default type of output files for some commands. You can choose: `.md`, `.csv` and `.xlsx`. If `None` then used default file types.") - # parser.add_argument("--length", type=int, default=24, help="Option: how many last candles returns for history. Used only with --history key.") - # parser.add_argument("--interval", type=str, default="60", help="Option: available values are 1min, 2min, 3min, 5min, 10min, 15min, 30min, hour, day, week, month. Used only with `--history` key. This is time period used in 'interval' api parameter. Default: `--interval=60` that means 60 min for every history candles.") - # parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. False by default.") + parser.add_argument("--interval", type=str, default="hour", help="Option: available values are `1min`, `5min`, `15min`, `hour` and `day`. Used only with `--history` key. This is time period of one candle. Default: `hour` for every history candles.") + parser.add_argument("--only-missing", action="store_true", default=False, help="Option: if history file define by `--output` key then add only last missing candles, do not request all history length. `False` by default.") + parser.add_argument("--csv-sep", type=str, default=",", help="Option: separator if .csv-file is used, `,` by default.") parser.add_argument("--debug-level", "--verbosity", "-v", type=int, default=20, help="Option: showing STDOUT messages of minimal debug level, e.g. 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 = ERROR, 50 = CRITICAL. INFO (20) by default.") @@ -3047,12 +3134,17 @@ def ParseArgs(): parser.add_argument("--list", "-l", action="store_true", help="Action: get and print all available instruments and some information from broker server. Also, you can define `--output` key to save list of instruments to file, default: `instruments.md`.") parser.add_argument("--search", "-s", type=str, nargs=1, help="Action: search for an instruments by part of the name, ticker or FIGI. Also, you can define `--output` key to save results to file, default: `search-results.md`.") parser.add_argument("--info", "-i", action="store_true", help="Action: get information from broker server about instrument by it's ticker or FIGI. `--ticker` key or `--figi` key must be defined!") - parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use --depth key. `--ticker` key or `--figi` key must be defined!") + parser.add_argument("--price", action="store_true", help="Action: show actual price list for current instrument. Also, you can use `--depth` key. `--ticker` key or `--figi` key must be defined!") parser.add_argument("--prices", "-p", type=str, nargs="+", help="Action: get and print current prices for list of given instruments (by it's tickers or by FIGIs). WARNING! This is too long operation if you request a lot of instruments! Also, you can define `--output` key to save list of prices to file, default: `prices.md`.") - parser.add_argument("--overview", "-o", action="store_true", help="Action: show all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") + parser.add_argument("--overview", "-o", action="store_true", help="Action: shows all open positions, orders and some statistics. Also, you can define `--output` key to save this information to file, default: `overview.md`.") + parser.add_argument("--overview-digest", action="store_true", help="Action: shows a short digest of the portfolio status. Also, you can define `--output` key to save this information to file, default: `overview-digest.md`.") + parser.add_argument("--overview-positions", action="store_true", help="Action: shows only open positions. Also, you can define `--output` key to save this information to file, default: `overview-positions.md`.") + parser.add_argument("--overview-orders", action="store_true", help="Action: shows only sections of open limits and stop orders. Also, you can define `--output` key to save this information to file, default: `overview-orders.md`.") + parser.add_argument("--overview-analytics", action="store_true", help="Action: shows only the analytics section and the distribution of the portfolio by various categories. Also, you can define `--output` key to save this information to file, default: `overview-analytics.md`.") + parser.add_argument("--deals", "-d", type=str, nargs="*", help="Action: show all deals between two given dates. Start day may be an integer number: -1, -2, -3 days ago. Also, you can use keywords: `today`, `yesterday` (-1), `week` (-7), `month` (-30) and `year` (-365). Dates format must be: `%%Y-%%m-%%d`, e.g. 2020-02-03. With `--no-cancelled` key information about cancelled operations will be removed from the deals report. Also, you can define `--output` key to save all deals to file, default: `deals.md`.") - # parser.add_argument("--history", action="store_true", help="Action: get last (--length) history candles from past to current time with (--interval) values. Also, you can define `--output` key to save history candles to .csv-file.") + parser.add_argument("--history", type=str, nargs="*", help="Action: get last history candles of the current instrument defined by `--ticker` or `--figi` (FIGI id) keys. History returned between two given dates: `start` and `end`. Minimum requested date in the past is `1970-01-01`. Also, you can define `--output` key to save history candlesticks to file.") parser.add_argument("--trade", nargs="*", help="Action: universal action to open market position for defined ticker or FIGI. You must specify 1-5 parameters: [direction `Buy` or `Sell`] [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`]. See examples in readme.") parser.add_argument("--buy", nargs="*", help="Action: immediately open BUY market position at the current price for defined ticker or FIGI. You must specify 0-4 parameters: [lots, >= 1] [take profit, >= 0] [stop loss, >= 0] [expiration date for TP/SL orders, Undefined|`%%Y-%%m-%%d %%H:%%M:%%S`].") @@ -3165,7 +3257,31 @@ def Main(**kwargs): if args.output is not None: server.overviewFile = args.output - server.Overview(showStatistics=True) + server.Overview(showStatistics=True, details="full") + + elif args.overview_digest: + if args.output is not None: + server.overviewDigestFile = args.output + + server.Overview(showStatistics=True, details="digest") + + elif args.overview_positions: + if args.output is not None: + server.overviewPositionsFile = args.output + + server.Overview(showStatistics=True, details="positions") + + elif args.overview_orders: + if args.output is not None: + server.overviewOrdersFile = args.output + + server.Overview(showStatistics=True, details="orders") + + elif args.overview_analytics: + if args.output is not None: + server.overviewAnalyticsFile = args.output + + server.Overview(showStatistics=True, details="analytics") elif args.deals is not None: if args.output is not None: @@ -3182,12 +3298,22 @@ def Main(**kwargs): else: raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") - # TODO: implement history download and view - # elif args.history: - # if args.output is not None: - # server.historyFile = args.output - # - # server.History(onlyMissing=args.only_missing) + elif args.history is not None: + if args.output is not None: + server.historyFile = args.output + + if 0 <= len(args.history) < 3: + server.History( + start=args.history[0] if len(args.history) >= 1 else None, + end=args.history[1] if len(args.history) == 2 else None, + interval="hour" if args.interval is None or not args.interval else args.interval, + onlyMissing=False if args.only_missing is None or not args.only_missing else args.only_missing, + csvSep="," if args.csv_sep is None or not args.csv_sep else args.csv_sep, + printCandles=True, # shows all downloaded candles in console + ) + + else: + raise Exception("You must specify 0-2 parameters: [DATE_START] [DATE_END]") elif args.trade is not None: if 1 <= len(args.trade) <= 5: @@ -3318,14 +3444,15 @@ def Main(**kwargs): raise Exception("There is no command to execute!") except Exception: - exc = tb.format_exc().split("\n") - - for line in exc: - if line: - uLogger.debug(line) + trace = tb.format_exc() + for e in ["socket.gaierror", "nodename nor servname provided", "or not known", "NewConnectionError", "[Errno 8]", "Failed to establish a new connection"]: + if e in trace: + uLogger.error("Check your Internet connection! Failed to establish connection to broker server!") + break - uLogger.debug("Unknown error occurred, open a ticket for this issue, please! https://github.com/Tim55667757/TKSBrokerAPI/issues") - exitCode = 255 # unknown error occurred, must be open a ticket for this issue + uLogger.debug(trace) + uLogger.debug("Please, checks troubleshooting or open a ticket for this issue at https://github.com/Tim55667757/TKSBrokerAPI/issues") + exitCode = 255 # an error occurred, must be open a ticket for this issue finally: finish = datetime.now(tzutc()) @@ -3334,7 +3461,9 @@ def Main(**kwargs): uLogger.debug("All operations with Tinkoff Server using Open API are finished success (summary code is 0).") else: - uLogger.error("TKSBrokerAPI module returns an error! See full debug log with key in run command `--debug-level 10`. Summary code: {}".format(exitCode)) + uLogger.error("An issue occurred with TKSBrokerAPI module! See full debug log in [{}] or run TKSBrokerAPI once again with the key `--debug-level 10`. Summary code: {}".format( + os.path.abspath(uLog.defaultLogFile), exitCode, + )) uLogger.debug("TKSBrokerAPI module work duration: [{}]".format(finish - start)) uLogger.debug("TKSBrokerAPI module finished: [{}] UTC, it is [{}] local time".format( diff --git a/tksbrokerapi/TKSEnums.py b/tksbrokerapi/TKSEnums.py index 8b259b6..c51b957 100644 --- a/tksbrokerapi/TKSEnums.py +++ b/tksbrokerapi/TKSEnums.py @@ -24,6 +24,9 @@ # limitations under the License. +TKS_DATE_TIME_FORMAT = "%Y-%m-%dT%H:%M:%SZ" +"""Date and time string format used by Tinkoff Open API. Default: `"%Y-%m-%dT%H:%M:%SZ"`.""" + TKS_INSTRUMENTS = ["Currencies", "Shares", "Bonds", "Etfs", "Futures"] """Type of instrument for trade methods must be only one of supported types, listed in this constant. Default: `["Currencies", "Shares", "Bonds", "Etfs", "Futures"]`""" @@ -43,20 +46,15 @@ # "ISSUANCEBRUS", # now available ] -TKS_TIMEFRAMES = { - "1min": {"minutes": 1, "maxCandles": 1439}, # max count in block for this API request: 1 day (and -1 minute) - "2min": {"minutes": 2, "maxCandles": 719}, # max count in block for this API request: 1 day (and -2 minutes) - "3min": {"minutes": 3, "maxCandles": 479}, # max count in block for this API request: 1 day (and and -3 minutes) - "5min": {"minutes": 5, "maxCandles": 287}, # max count in block for this API request: 1 day (and -5 minutes) - "10min": {"minutes": 10, "maxCandles": 143}, # max count in block for this API request: 1 day (and -10 minutes) - "15min": {"minutes": 15, "maxCandles": 95}, # max count in block for this API request: 1 day (and -15 minutes) - "30min": {"minutes": 30, "maxCandles": 47}, # max count in block for this API request: 1 day (and -30 minutes) - "hour": {"minutes": 60, "maxCandles": 167}, # max count in block for this API request: 7 days (and -1 hour) - "day": {"minutes": 1440, "maxCandles": 365}, # max count in block for this API request: 1 year - "week": {"minutes": 10080, "maxCandles": 104}, # max count in block for this API request: 2 years - "month": {"minutes": 43200, "maxCandles": 119}, # max count in block for this API request: 10 years +TKS_CANDLE_INTERVALS = { # List values: 1st - Tinkoff API parameter, 2nd - minutes count, 3rd - max candles in block + "Undefined": ["CANDLE_INTERVAL_UNSPECIFIED", 0, 0], + "1min": ["CANDLE_INTERVAL_1_MIN", 1, 1438], # max count in API request block: 1 day (1440 min) and -2 minute + "5min": ["CANDLE_INTERVAL_5_MIN", 5, 287], # max count in API request block: 1 day (288 by 5 min) and -5 minute + "15min": ["CANDLE_INTERVAL_15_MIN", 15, 95], # max count in API request block: 1 day (96 by 15 min) and -15 minute + "hour": ["CANDLE_INTERVAL_HOUR", 60, 167], # max count in API request block: 1 week (168 hours) and -1 hour + "day": ["CANDLE_INTERVAL_DAY", 1440, 364], # max count in API request block: 1 year (365 days) and -1 day } -"""How many minutes in interval and maximum count of candles in one history block returns by Tinkoff API in one request. +"""Candles interval for requesting history data with Tinkoff API. Current available keys are `"1min"`, `"5min"`, `"15min"`, `"hour"`, `"day"`. See more: https://tinkoff.github.io/investAPI/swagger-ui/#/MarketDataService/MarketDataService_GetCandles """ diff --git a/tksbrokerapi/UniLogger.py b/tksbrokerapi/UniLogger.py index 3b8d26a..df7b492 100644 --- a/tksbrokerapi/UniLogger.py +++ b/tksbrokerapi/UniLogger.py @@ -110,7 +110,8 @@ def DisableLogger(handler, parentHandler=UniLogger): streamHandler.level = logging.INFO # set up INFO verbosity level by default for STDOUT UniLogger UniLogger.addHandler(streamHandler) # adding STDOUT UniLogger handler to Parent UniLogger -fileLogHandler = EnableLogger(logFile="TKSBrokerAPI.log", parentHandler=UniLogger, useFormat=formatter) # add logging to file +defaultLogFile = "TKSBrokerAPI.log" +fileLogHandler = EnableLogger(logFile=defaultLogFile, parentHandler=UniLogger, useFormat=formatter) # add logging to file sepWide = "-" * 120 # long-long log separator sepLong = "-" * 80 # long log separator