2 Commits

Author	SHA1	Message	Date
GifariKemal	b9e283878a	refactor: separate all Telegram code from main_live.py into dedicated modules ... - telegram_notifier.py: low-level API (send, format, poll, command system) - telegram_commands.py: command handlers (/status /market /risk /positions /daily /filters /help) - telegram_notifications.py: notification helpers (startup, shutdown, trade open/close, hourly, alerts) - main_live.py reduced by ~400 lines — only 4 infrastructure calls remain (set_balance, close, poll) - Auto-send limited to: startup, hourly report, trade open, trade close - Market update & daily summary available on-demand via Telegram commands - Win rate tracking added to trade close notifications Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-09 07:07:04 +07:00
GifariKemal	7af9183af3	feat: Smart AI Trading Bot for XAUUSD with ML and SMC ... - 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