2 Commits

Author	SHA1	Message	Date
GifariKemal	e8355b3f62	feat: add 5 dashboard features — dark mode, trade history, backtests, model insights, alerts ... - 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>	2026-02-09 05:46:54 +07:00
GifariKemal	214b64945d	feat: apply #28B smart breakeven + #31B H1 EMA20 filter, add backtests #26-#32 ... 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