61877480b3
feat: add full dashboard monitoring + FEATURES.md documentation
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- Create docs/FEATURES.md with complete feature reference (14 entry
filters, 12 exit conditions, backtest history, risk modes, session
rules, auto-trainer, active components table, architecture diagram)
- Extend main_live.py _write_dashboard_status() with 10 new data
sections: entryFilters, riskMode, cooldown, timeFilter,
sessionMultiplier, positionDetails, autoTrainer, performance,
marketClose, h1BiasDetails. Add filter tracking at each checkpoint
in _trading_iteration() and 7 helper methods.
- Add 9 TypeScript interfaces and extend TradingStatus in trading.ts
- Create BotStatusCard (risk mode, cooldown bar, AUC, uptime, market
close) and EntryFilterCard (14 filters with pass/block/skip icons)
- Enhance SessionCard (lot multiplier badge + time filter status),
RiskCard (risk mode badge + total loss progress bar), PositionsCard
(expandable per-position details with momentum, TP probability)
- Update page.tsx layout: BotStatusCard replaces SettingsCard in Row 2,
EntryFilterCard added to Row 3 sidebar
- Add API defaults for all new fields
Dashboard now monitors 100% of bot features. Verified: Next.js build
0 errors, bot + API + dashboard all run clean, Docker rebuilt OK.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-08 13:45:31 +07:00
214b64945d
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
7af9183af3
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
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