AiDataTaskRuner is a bot with a complex GUI that facilitates data generation and training of ML models based on the AiDataGenByLeo library.
  • MQL5 97.5%
  • MQL4 1.9%
  • C++ 0.4%
  • C 0.2%
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AiDataTaskRunerByLeo. Logo

Automate data generation and AI model training through a simple, easy-to-use GUI.


Features

  • Data generation | Main tab — choose timeframe, symbol, date range and add tasks to the queue.

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  • Data generation | Tasks tab — view and manage all pending, running and completed tasks.

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  • Settings tab — choose the interface language.

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  • Training tab | Run — Choose the py trainer settings and run it

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  • Training tab | Results — View the results of the py training in real time

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  • Feature editor — Modify\Compile (csv)\Save\Load\etc the features that your AI model will use through a simple editor for the FGBLC DSL

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  • Utils tab — Encrypt/Decrypt/Clean folders Useful if you want to distribute the onnx files, etc., generated by the panel

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  • Workflows tab — Run workflows without touching the panel Useful for the mass automation of data generation/training of ML models

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  • AI tab — configure the LLM model and control the panel via Telegram in natural language Or use MCP.

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Currently supported via Telegram and MCP:

  • Query task status and count
  • Add, save and load tasks
  • Execute and clean all tasks
  • Load and save panel configuration
  • Query panel folders and settings
  • Query MT5 logs, manage files, check system time
  • Results from panel operations are delivered asynchronously directly to the chat.
  • A subtab has now also been added to allow the use of MCP with the panel.

Repository Structure

AiDataTaskRuner/
├── Backend/       # The backend of the panel is where the code that the tester executes for data generation is located.
├── FileInstaler/  # This is where the panel's file installer is located... such as ini files, etc.
├── DllFilseSelctDialog/ # C++ code for the DLL (this allows the use of a custom file select dialog without sandbox limitations)
├── UI/            # Frontend code for the panel (tabs and main window)
├── Images/        # Repository banner
└── Utils/         # Utility scripts for working with .set

Requirements

  • For final users:
  • For devs:

Installation of repo code

cd "C:\Users\YOUR USER\AppData\Roaming\MetaQuotes\Terminal\YOUR ID\MQL5\Shared Projects"
tsndep install "https://forge.mql5.io/nique_372/AiDataTaskRuner.git"
  • For use tsndep command requerid tsndep pacakage (avaible in pypi).. This command automatically downloads all dependencies and installs all requirements from the repositories.
  • If any part of the system is private, then it will fail... contact me so I can give you access (if it's a product, you can buy it; if you have any questions, don't hesitate to contact me).

Quick Start for final users

1. Install

Install the 6 files located in the releases section (most recent ones preferred).

  • Place all EAs (5) .ex5 files in your MQL5\Experts\ folder
  • Place the DLL DllFileSelctDialog.dll in your MQL5\Libraries\ folder
  • Place the executable file py_trainer.exe in a folder relative to your terminal path or a custom location.

2. Check the wiki's quick start

Visit the wiki: https://forge.mql5.io/nique_372/AiDataTaskRuner/wiki/QuickStartPanelUse


Documentation

Full documentation including tab-by-tab guides, parameter reference and configuration examples is available in the Wiki.


Disclaimer

Trading involves substantial risk of loss.

  • This software is a technical tool, not financial advice
  • Past performance does not guarantee future results
  • You are solely responsible for your trading decisions
  • Always test thoroughly before deploying with real capital
  • Apply appropriate risk management at all times

The authors assume no liability for trading losses, system failures, or any damages arising from the use of this software.


License

Read Full License


Copyright © 2026 Nique-Leo.