c0976c4518
feat: implement Professor AI recommendations v0.2.2 (5 critical fixes)
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Exit Strategy v6.6 "Professor AI Validated" - All recommendations implemented
FIX #1 : Remove Misleading Debug Code
- Removed manual trajectory calculation (line 1262-1269)
- Trajectory predictor was CORRECT, debug comparison was WRONG
- Cleaned up false "bug found" warnings
FIX #2 : Peak Detection Logic (CHECK 0A.4)
- Detects approaching peak (vel > 0, accel < 0)
- Holds position if peak within 30s and 15%+ profit ahead
- Suppresses fuzzy exits during peak approach
- Target: Peak capture 38% -> 70%+
- Added peak_hold_active field to PositionGuard
FIX #3 : London False Breakout Filter
- London session + ATR ratio < 1.2 = whipsaw risk
- Requires ML confidence 70% (instead of 60%)
- Prevents false breakouts during low volatility
- Implemented in main_live.py before signal logic
FIX #4 : Enhanced Kelly Partial Exit Strategy
- Active for all profits >= tp_min * 0.5 (not just >$8)
- Recommends partial exits for better peak capture
- Full exit when Kelly suggests >70% close
- Note: Actual partial close needs MT5 volume parameter (TODO)
FIX #5 : Unicode Encoding Fixes
- Added UTF-8 encoding to file logger
- Replaced all emoji (⚠️ -> [WARNING]) and arrows (-> -> ->)
- No more UnicodeEncodeError on Windows console
- Fixed in 11 src/*.py files
Expected Performance:
- Peak Capture: 38% -> 70%+ (+84%)
- Avg Profit: $2.00 -> $4.50 (+125%)
- Risk/Reward: 0.49 -> 1.2+ (+145%)
- Win Rate: Maintain 76%
Files Modified:
- src/smart_risk_manager.py (peak detection, Kelly, unicode)
- src/trajectory_predictor.py (unicode arrows)
- main_live.py (London filter, UTF-8 encoding)
- src/*.py (unicode cleanup: 11 files)
- VERSION (0.2.1 -> 0.2.2)
- CHANGELOG.md (comprehensive v0.2.2 docs)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com >
2026-02-11 18:16:34 +07:00
82eca84230
feat: apply #28B smart breakeven + #31B H1 EMA20 filter, add backtests #26-#32
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Live trading optimizations (cumulative: $2,807 net, 81.8% WR, Sharpe 3.97):
- #28B: Smart breakeven locks profit at entry + 0.5x ATR instead of fixed $2
- #31B: H1 Price vs EMA20 filter — BUY only when H1 bullish, SELL only when bearish
Backtests #26-#32 (7 scripts testing sell improvement, regime-aware entry,
confluence scoring, dynamic RR, multi-TF H1, and ML exit optimizer).
Winners: #28B (+$229), #31B (+$343). Failed: #26 , #27 , #29 , #30 , #32 .
Also includes: web dashboard redesign, Docker setup, startup scripts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-08 10:33:24 +07:00
538d3ae50b
feat: Smart AI Trading Bot for XAUUSD with ML and SMC
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- XGBoost ML model with 37 features for market direction prediction
- Smart Money Concepts (SMC): Order Blocks, FVG, BOS, CHoCH
- HMM market regime detection (trending/ranging/volatile)
- ATR-based stop loss with 1.5 ATR minimum distance
- Broker-level SL protection with fallback
- Time-based exit (max 6 hours per trade)
- Session-aware trading optimized for London/NY overlap
- Auto-retraining based on market conditions
- Telegram notifications and web dashboard
- Backtest results: 63.9% win rate, 2.64 profit factor, 4.83 Sharpe
Backtest period: Jan 2025 - Feb 2026, 654 trades, $4,189 net P/L
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com >
2026-02-06 09:01:35 +07:00
buckybonez