Critical bug fix in Sharpe Ratio calculation logic:
Problem:
- Previously calculated equity as TotalBalance + TotalUnrealizedProfit
- This was incorrect because TotalBalance already stores TotalEquity
- TotalUnrealizedProfit actually stores TotalPnL (not unrealized profit)
- This caused: equity = 2 * TotalEquity - InitialBalance (wrong!)
Root cause:
- Field naming mismatch between AccountSnapshot and actual stored values
- TotalBalance field actually contains TotalEquity (wallet + unrealized)
- TotalUnrealizedProfit field actually contains TotalPnL (equity - initial)
Solution:
- Use TotalBalance directly as it already represents complete account equity
- Added clear comments explaining the field name vs content mismatch
- Sharpe Ratio now correctly calculates risk-adjusted returns
Impact:
- Sharpe Ratio values are now mathematically accurate
- AI performance assessment is now reliable
- No changes needed to data storage or API layer
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Backend changes (logger/decision_logger.go):
- Fixed Profit Factor to use standard formula (total profit / total loss)
- Previously used average values which was incorrect when win/loss counts differ
- Now saves total amounts before calculating averages for accurate ratio
Frontend changes (web/src/components/AILearning.tsx):
- Fixed display units: changed USDT amounts from "%" to "USDT"
- Updated avg_win and avg_loss to show "USDT Average" instead of "%"
- Updated best/worst performer displays to show "USDT" instead of "%"
- Added "(USDT)" labels to table headers for clarity
- Removed "%" from all table data cells showing monetary amounts
This ensures accurate performance metrics and eliminates user confusion
between percentage values and absolute USDT amounts.
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Fixed critical issues in historical trade record and performance analysis:
1. PnL Calculation: Changed from percentage-only to actual USDT amount
- Now correctly calculates: positionValue × priceChange% × leverage
- Previously: 100U@5% and 1000U@5% both showed 5.0
- Now: Properly reflects different position sizes and leverage
2. Position Tracking: Added quantity and leverage to open position records
- Store complete trade data for accurate PnL calculation
- Previously only stored: side, openPrice, openTime
- Now includes: quantity, leverage for proper accounting
3. Position Key: Fixed to distinguish long/short positions
- Changed from symbol to symbol_side (e.g., BTCUSDT_long)
- Prevents conflicts when holding both long and short positions
4. Sharpe Ratio: Replaced custom Newton's method with math.Sqrt
- Simplified standard deviation calculation
- More reliable and maintainable
Impact: Win rate, profit factor, and Sharpe ratio now based on accurate USDT amounts
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Major improvements:
- Use period-level Sharpe ratio (range -2 to +2) instead of annualized
- Save full user prompt in decision logs for debugging
- Format complete market data (3m + 4h candles) for AI analysis
- Prevent position stacking with duplicate position checks
- Update Sharpe ratio interpretation thresholds
Market data enhancements:
- Display full technical indicators in user prompt
- Include 3-minute and 4-hour timeframe data
- Add OI (Open Interest) change and funding rate signals
Risk control:
- Block opening duplicate positions (same symbol + direction)
- Suggest close action first before opening new position
- Prevent margin usage from exceeding limits
UI improvements:
- Update multi-language translations
- Refine AI learning dashboard display
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
- Implement Sharpe ratio calculation in decision logger
- Add adaptive behavior recommendations based on Sharpe ratio
- Display Sharpe ratio in AI learning dashboard with visual indicators
- Enable AI to adjust trading strategy based on risk-adjusted returns
- Color-coded performance levels (red/yellow/green) for easy monitoring
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
- Frontend trading records and UI enhancements
- Optimized AI prompts and decision engine
- Performance analysis and comparison features
- Binance-style UI improvements
- Multi-AI competition mode (Qwen vs DeepSeek)
- Binance Futures integration
- AI self-learning mechanism
- Professional web dashboard
- Complete risk management system
