Trading robot · MT5

Native Trading Genetic Algorithm

by edouardkombo

This expert advisor for MetaTrader 5 utilizes a genetic algorithm and neural network to make autonomous trading decisions without relying on traditional technical indicators.

GitHub stars18
Forks15
Last update5 years ago31 Jan 2021
LicenceNone stated

Overview

Native Trading Genetic Algorithm implements a self-learning mechanism that evaluates a population of species to determine entry, exit, and lot sizing across multiple currency pairs simultaneously. The robot incorporates hedging strategies and manages risk through evolution-based optimization parameters such as mutation, tournament size, and elitism. The system processes historical price data to optimize its internal weights, aiming to adapt to market conditions through a native implementation within MQL5.

Details

Author

edouardkombo on GitHub

Type

Trading robot

Markets

Forex

Timeframes

Any timeframe

Risk Profile

  • Holds opposite positions at once

Topics

self-learningtradingmt5mt4neural-networkgenetic-algorithm

Input Parameters

Read from GA_Manager.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
numpopulationint75
i_tournamentSizedouble5
i_elitismbooltrue
i_uniformRatedouble0.5
i_mutationRatedouble0.015

How to Install It

  1. 1Download the sourceUse "Download source (.zip)" above, or clone edouardkombo/Native-trading-genetic-algorithm from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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