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

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Features

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

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

• Settings tab — choose the interface language.

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

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

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

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

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

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

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.

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Quick Start

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.

You must have the following products purchased:

• ICTLibrary (https://www.thebotplace.com/bot/ict-fastlibrary)
• FastNL (https://www.thebotplace.com/bot/fast-newslibrary)

2. Check the wiki's quick start

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

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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

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Requirements

• If you only want to use the bot, you don't need to download anything else besides the ex5 files. Otherwise, if you want the code, you should check the file:

• dependencies.json file.

• In addition, review the following requirements.txt file for the necessary requirements for Python (using the MCP server).

• requirements.txt file.

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Installation of repo code

• Clone the git repository into shared projects via cmd.
• Contact me privately on MQL5 chats (user: nique_372) to be added as a collaborator with your MQL5 nickname (read-only access), which will make the repository automatically appear in your Shared Projects folder.
• Fork the repository.

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Documentation

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

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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.

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License

Read Full License

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Copyright © 2026 Nique-Leo.