Control trading system by calculating profit factor and trading statistics or using Reinforcement Learning

This repository was created to help Algorithmic Trader to supervise Trading Robots automatically. Goal is to allow automatic selection of the most profitable systems only. Part of the so called Lazy Trading Courses with the main objective to learn Computer and Data Science by building an Automated Algorithmic Trading System.

_OT - code to automate trading system performance analysis _RL - code to deploy Reinforcement Learning to control trading strategy based on it's performance _RL_MT - code to deploy Reinforcement Learning to automatically control trading strategy within 6 market types _STAT_PF - code to control trading strategy based on profit factor _TEST_DATA - various log files, to play with

Add these User Environmental Variables:

PATH_T2 - path to Development Terminal MT4, folder *\MQL4\Files PATH_T1, PATH_T3, etc - paths to the Terminals where all other terminals are located PATH_DSS_Repo - path to the folder where this repository is stored on the local computer PATH_REXE - path to the Rscript.exe program (with quotes)

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Read my blog post about the motivation creating this project

Use on your own risk