GifariKemal
7af9183af3
- 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>
17 lines
512 B
Python
17 lines
512 B
Python
"""Test new risk settings."""
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from src.smart_risk_manager import create_smart_risk_manager
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# Test dengan modal $50
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print('=' * 50)
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print('PENGATURAN RISK MANAGEMENT BARU')
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print('=' * 50)
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manager = create_smart_risk_manager(50)
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print()
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print('Dengan modal $50:')
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print(f' Daily Loss Limit (5%): ${manager.max_daily_loss_usd:.2f}')
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print(f' Total Loss Limit (10%): ${manager.max_total_loss_usd:.2f}')
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print(f' S/L Per Trade (1%): ${manager.max_loss_per_trade:.2f}')
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print()
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print(manager.get_risk_summary())
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