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Major improvements to the AI trading decision engine: **Core Changes in decision/engine.go** (175 lines modified): 1. **Sharpe Ratio Optimization Focus** - Restructured system prompt to emphasize Sharpe ratio maximization - Added clear guidance: high-quality trades over frequent trading - Explained that 3-minute scan interval ≠ trade every cycle 2. **Trading Frequency Controls** - Defined optimal frequency: 2-4 trades/day (0.1-0.2 trades/hour) - Over-trading threshold: >2 trades/hour indicates issues - Minimum holding period: 30-60 minutes per position 3. **Long/Short Balance Incentives** - Emphasized equal profit potential for long and short positions - Removed long-bias with explicit short trading encouragement - Clear guidance: uptrend→long, downtrend→short, sideways→wait 4. **Stricter Entry Signal Standards** - Strong signals only: confidence ≥75, multi-indicator confirmation - Weak signals explicitly discouraged (single indicator, unclear trend) - Self-check mechanism to prevent premature re-entry (<30min) 5. **Enhanced Sharpe Ratio Feedback Loop** - Sharpe < -0.5: Stop trading for 6+ cycles (18min), deep reflection - Sharpe -0.5~0: Strict control, confidence >80 only - Sharpe 0~0.7: Maintain current strategy - Sharpe >0.7: Consider position size increase 6. **Risk-Reward Ratio Validation** - Added hard constraint: R:R must be ≥ 3.0:1 - Automatic calculation and validation in `validateDecision()` - Rejects trades with insufficient risk-reward ratio 7. **Improved Prompt Structure** - More organized sections with clear headers - Actionable guidance instead of abstract principles - Better examples for JSON output format **Impact**: These changes should significantly improve trading quality, reduce over-trading, and increase Sharpe ratio through better risk management and trade selection discipline. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>