Trading robot · MT5

AI Enhanced Neural Network Trader

by Anaswar-ash

This MetaTrader 5 Expert Advisor implements a neural network-based trading strategy using the ONNX format for model deployment.

GitHub stars9
Forks5
Last update4 months ago10 May 2026
LicenceMIT

Overview

AI Enhanced Neural Network Trader bridges a Python-trained machine learning model with the MQL5 platform to automate trade execution based on price change predictions. The system includes integrated risk management controls such as fixed lot sizing, stop loss, and take profit parameters defined in points. Users can train models using TensorFlow or Scikit-learn and export them to MetaTrader. The repository includes both a primary neural network model and a benchmark logistic regression version for comparison.

Details

Author

Anaswar-ash on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

AI / machine learning

Markets

Any symbol

Timeframes

H4 and above

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

Input parameters

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

NameTypeDefaultDescription
InpLotsdouble0.1Lot size for trades
InpStopLossint50Stop loss in points
InpTakeProfitint100Take profit in points

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone Anaswar-ash/MT5-PY-AI-Tbot 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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