zhutoutoutousan
605faf5310
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>
XAUUSD H1 — ONNX action model
Same pipeline as ../xauusd_m15, but H1 bars, H1-scaled label windows (~wall-clock parity with M15 defaults), and XAUUSD_H1_ActionEA.mq5.
Label scaling (vs M15)
| M15 (bars) | Wall time | H1 (bars) |
|---|---|---|
| horizon 32 | ~8 h | 8 |
| local 24 | ~6 h | 6 |
| pullback 20 | ~5 h | 5 |
Setup
- MT5: XAUUSD visible; download H1 history.
- Python:
cd ai/xauusd_h1
pip install -r requirements.txt
python main.py
Env: XAU_SYMBOL, XAU_H1_LOOKBACK (default 48, must match EA InpLookback), XAU_EPOCHS, XAU_BATCH, SESSION_HOUR_OFFSET.
- Copy
models/XAUUSD_H1_action.onnxnext toXAUUSD_H1_ActionEA.mq5(for#resourceembed) or adjust include path per your workflow. - Compile EA on H1 chart; paste 24 floats into InpFeatMinStr / InpFeatMaxStr from training stdout.
Files
| File | Role |
|---|---|
main.py |
MT5 H1 fetch, train, XAUUSD_H1_action.onnx + meta |
labeling.py |
compute_action_labels (H1 default horizons) |
features.py |
24-dim features (same order as M15 EA) |
XAUUSD_H1_ActionEA.mq5 |
Inference + trading |
XAUUSD_H1_ActionEA_optimize.set |
Tester optimization skeleton |
Feature semantics: ../xauusd_m15/FRONTLINE_RSI_INTEGRATION.md.
ONNX
- Input:
[1, lookback, 24]float32, row 0 = newest bar. - Output:
[1, 5]softmax.
Research tooling — not investment advice.