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zhutoutoutousan 605faf5310 Prepare source-only public release for develop.

Add cluster audit pipeline, united EA updates, brochure generators, and publication hygiene (gitignore, MT5 path desensitization, pre-upload scan). Remove tracked reports, models, and binary artifacts from the repo.

Co-authored-by: Cursor <cursoragent@cursor.com>

2026-07-02 15:03:43 +02:00

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AI / Machine Learning

ONNX-based price-action models for MetaTrader 5.

Projects

Directory	Symbol / TF	Notes
`xauusd_h1/`	XAUUSD H1	Action classification EA
`xauusd_m15/`	XAUUSD M15	Shorter horizon
`eurusd1h/`	EURUSD H1
`eurusd1min/`	EURUSD M15 model
`btcusd1min/`	BTCUSD M1
`rsi-divergence/`	Divergence detector + EA
`dummy/`	XAUUSD sandbox	Full train → ONNX → backtest walkthrough

Quick start (sandbox)

cd ai/dummy
pip install -r requirements.txt
python train_onnx_model.py
python quick_backtest.py

Trained artifacts (models/*.onnx, *.pkl) are gitignored — generate locally after clone.

MQL5 integration

Each project includes an .mq5 EA that loads ONNX via #resource or file path. See per-folder README.md and MT5_SETUP.md (dummy).

Requirements

Python 3.10+
MetaTrader5, onnxruntime, scikit-learn, pandas, numpy
Local MT5 terminal with history for your symbol

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