Aurum79 is a connectivity bridge that links MetaTrader 5 to external JavaScript environments via a local socket server. The expert advisor transmits live price ticks and historical candle data to a Node.js client, which can then process the information using external libraries such as TensorFlow.js. It receives and exe
Copier & bridge · MT5
MetaTrader Python Integration
This MetaTrader 5 expert advisor serves as a technical bridge to integrate Python-based trading models into the platform.
GitHub stars2
Forks1
Last update3 years ago3 Sep 2023
LicenceNone stated
Overview
MetaTrader Python Integration facilitates the testing and validation of external models within the MetaTrader Strategy Tester by utilizing the ONNX format for cross-platform compatibility. The system allows developers to leverage Python's flexibility for model creation while maintaining native validation processes inside MQL5. The repository includes supporting libraries for symbol monitoring, data logging, and file handling. As an integration framework, specific entry and exit logic depends on the user-provided Python model.
- Python and MQL5 integration bridge
- ONNX model export and validation
- Strategy Tester compatibility
- Custom symbol monitoring libraries
Details
Author
jowpereira on GitHub
Type
Copier & bridge
Platform
MetaTrader 5 (MQL5)
Strategy
AI / machine learning
Markets
Any symbol
Timeframes
Any timeframe
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.
EA files
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone jowpereira/MetaTrader-Python-Integration from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
- 3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 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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