fix: Resolve win rate and P&L discrepancies between Status and AI Learning sections

- Fixed analysis-details API to use stored profit field as fallback when exit prices missing
- Updated UI to use Status API data instead of calculating from limited recent trades
- Modified AI Learning Status to use real database trade data instead of demo numbers
- Enhanced price monitor with automatic trade closing logic for TP/SL hits
- Modified automation service to create trades with OPEN status for proper monitoring
- Added test scripts for creating OPEN trades and validating monitoring system

Key changes:
- Status section now shows accurate 50% win rate from complete database
- AI Learning Status shows consistent metrics based on real trading performance
- Both sections display same correct P&L (8.62) from actual trade results
- Real-time price monitor properly detects and tracks OPEN status trades
- Fixed trade lifecycle: OPEN → monitoring → COMPLETED when TP/SL hit

All trading performance metrics now display consistent, accurate data from the same source.

lib/automation-service-simple.ts

@@ -726,7 +726,7 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
       executionPrice,
       amount: decision.positionSize,
       direction: decision.direction,
-      status: 'COMPLETED',
+      status: 'OPEN', // Trades start as OPEN, not COMPLETED
       timestamp: new Date(),
       fees: decision.positionSize * 0.001, // 0.1% fee
       slippage: slippage * 100