- Add 15-min grace period before early cut (wait 1 M15 candle to develop)
- Replace equity chart with AI Assistant card (real-time insights in Indonesian)
- Merge filter toggles into EntryFilterCard (remove separate FiltersConfigCard)
- Fix filter config API URL typo (8001 → 8000)
- Fix tooltip blocking switch clicks (move Switch outside TooltipTrigger)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
**H1 Bias Fix:**
- Fixed cache check to ensure loop_count=1 always calculates H1 bias
- Changed exception log from DEBUG to WARNING for visibility
- Added log on first calculation (loop==1) in addition to every 4 loops
- Result: H1 bias now correctly calculated from first candle
**Filter Config Infrastructure (WIP):**
- Added FilterConfigManager (src/filter_config.py) for dynamic filter control
- Added data/filter_config.json with 11 entry filters (flash_crash, regime, risk, session, spread, h1_bias, ml_confidence, signal_combination, cooldown, time_filter, market_close)
- Added API endpoints: GET/POST /api/filters/config
- Note: Bot integration pending — requires wrapper around all filter checks
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Dark mode: class-based theme toggle with localStorage persistence and flash prevention
- Trade History (/trades): paginated table, stats cards, equity curve chart with DB API endpoints
- Backtest Viewer (/backtests): log parser for 35 backtest results, sidebar + detail + comparison tabs
- Model Insights: dashboard card + dialog showing feature importance, regime distribution, training history
- Alert/Signal Log (/alerts): signal stats, filterable table with execution tracking
- API: 8 new endpoints with psycopg2 DB connection pool
- Dark mode sweep across books page, about dialog, and all dashboard components
- Architecture docs rewritten with Mermaid diagrams (23 docs)
- README and FEATURES.md rewritten bilingual (Indonesian + English)
- main_live.py: write model_metrics.json on startup and retrain
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
Vanszs