feat: Add Signal Cache for ML training data collection

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- Add signal_cache.py module to persist signal data between trade open/close
- Modify execute_trade_v2_adaptive to cache signal info when trade opens
- Update sync_closed_trades_to_tracker to retrieve cached ML features
- Update scheduled_demo_tracker_sync with same ML feature retrieval

This enables proper ML training by capturing:
- base_confidence, enhanced_score, hybrid_score
- signal_quality, market_regime, regime_strength
- session and lot_multiplier

Previously all trades were logged with 0 values for ML features.
After ~50-100 new trades, the ML model can be properly trained.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

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This commit is contained in:

cbazza

2026-02-16 12:50:55 +01:00

co-authored by Claude Opus 4.5

parent 7f2de4d227

commit d25727839a

2 changed files with 374 additions and 464 deletions

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TradingBot_V1.6_Adaptive_Complete_CORRECTED.ipynb

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