From 89302eca328a4e7122d412c0f8cee406d618b5be Mon Sep 17 00:00:00 2001 From: Joshuajee <36106199+Joshuajee@users.noreply.github.com> Date: Wed, 7 Apr 2021 11:44:58 +0100 Subject: [PATCH] added 15 minutes timeframe --- ...rusd_m15_ohlc_binary_stat-checkpoint.ipynb | 16121 ++++++++++ EURUSD_M15_202001020600_202012310000.csv | 24814 ++++++++++++++++ README.md | 10 + forex_stat_eurusd_m15_ohlc_binary_stat.ipynb | 16136 ++++++++++ forex_stat_eurusd_m1_ohlc_binary_stat.ipynb | 11563 ++++++- forex_stat_eurusd_m5_ohlc_binary_stat.ipynb | 11538 ++++++- 6 files changed, 79164 insertions(+), 1018 deletions(-) create mode 100644 .ipynb_checkpoints/forex_stat_eurusd_m15_ohlc_binary_stat-checkpoint.ipynb create mode 100644 EURUSD_M15_202001020600_202012310000.csv create mode 100644 forex_stat_eurusd_m15_ohlc_binary_stat.ipynb diff --git a/.ipynb_checkpoints/forex_stat_eurusd_m15_ohlc_binary_stat-checkpoint.ipynb b/.ipynb_checkpoints/forex_stat_eurusd_m15_ohlc_binary_stat-checkpoint.ipynb new file mode 100644 index 0000000..cd14cd6 --- /dev/null +++ b/.ipynb_checkpoints/forex_stat_eurusd_m15_ohlc_binary_stat-checkpoint.ipynb @@ -0,0 +1,16121 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Binary options put, call statistical research " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This Notebook analyse forex data from EURUSD pair M5 timeframe for the binary options market \n", + "the data is from the duration of january 1st 2020 to december 31st 2020, the aim of this research is to find a pattern \n", + "the placing trades in the binary options markert, in other to accurately predict where a market will close, from \n", + "the previous candles, if it closes above the open price of the candle in question it is a call option, if it closes below it is a put option, when the open price and the close price is the same this is a no trade option which is statistically rare, so this won't be a focal point in this study" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#import the relevant packages\n", + "import plotly.graph_objects as go\n", + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "sns.set(color_codes=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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<DATE><TIME><OPEN><HIGH><LOW><CLOSE><TICKVOL><VOL><SPREAD>
02020.01.0206:00:001.121321.121341.121281.121326103
12020.01.0206:05:001.121321.121341.121241.121335502
22020.01.0206:10:001.121331.121421.121321.121425602
32020.01.0206:15:001.121421.121431.121371.121428703
42020.01.0206:20:001.121431.121431.121221.121266803
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689382020.12.0223:40:001.211661.211811.211471.2117815101
689392020.12.0223:45:001.211761.211771.211531.2116615401
689402020.12.0223:50:001.211681.211841.211641.2117214301
689412020.12.0223:55:001.211721.211751.211341.2113615801
689422020.12.0300:00:001.211371.211571.211021.211515601
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