Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
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Updated
Jan 12, 2022 - Python
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
C++ interfaces used to communicate with Roq's market gateways.
✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨
duka - Dukascopy historical data downloader
Databento Binary Encoding (DBN) - Fast message encoding and storage format for market data
The official Rust client library for Databento
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Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
Jupyter notebooks, accompanying the FinDS Python repo: contains code examples and results for 30+ financial data science projects
Python API for accessing Lake high frequency tick trades & order book data
The official C++ client library for Databento
Generate candlesticks from your tick data in realtime.
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In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.
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Download, convert and export Dukascopy tick data. Package converts tick data from proprietary Bi5 format to standard CSV file with raw tick data or OHLCV data resampled to custom time frame resolution.
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