3,7 KiB
Automate data generation and AI model training through a simple, easy-to-use GUI.
Features
- Main tab — choose timeframe, symbol, date range and add tasks to the queue.
- Tasks tab — view and manage all pending, running and completed tasks.
- Settings tab — choose the interface language.
- AI tab — configure the LLM model and control the panel via Telegram in natural language.
Currently supported via Telegram:
- 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.
Under active development:
- Python training tab integration
- Full pipeline automation — generate data, train models, deploy to bot
Quick Start
1. Install (3) EAs
Download the 3 most recent executables from the release section and place them in your Experts\ folder.
2. Run the bots in your MT5 terminal
Run the Runner.ex5 bot on any chart, wait a couple of seconds, and then run AiDataTaskRunnerByLeo.ex5
Repository Structure
AiDataTaskRuner/
├── Backend/ # The backend of the panel is where the code that the tester executes for data generation is located.
├── FileInstaler/ # Frontend code for the panel (tabs and main window)
├── UI/ # Frontend code for the panel (tabs and main window)
└── Images/ # Repository banner
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.
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.
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.