feat: Implement re-entry analytics system with fresh TradingView data

- Add market data cache service (5min expiry) for storing TradingView metrics
- Create /api/trading/market-data webhook endpoint for continuous data updates
- Add /api/analytics/reentry-check endpoint for validating manual trades
- Update execute endpoint to auto-cache metrics from incoming signals
- Enhance Telegram bot with pre-execution analytics validation
- Support --force flag to override analytics blocks
- Use fresh ADX/ATR/RSI data when available, fallback to historical
- Apply performance modifiers: -20 for losing streaks, +10 for winning
- Minimum re-entry score 55 (vs 60 for new signals)
- Fail-open design: proceeds if analytics unavailable
- Show data freshness and source in Telegram responses
- Add comprehensive setup guide in docs/guides/REENTRY_ANALYTICS_QUICKSTART.md

Phase 1 implementation for smart manual trade validation.

prisma/schema.prisma

@@ -102,12 +102,6 @@ model Trade {
   signalStrength   String?  // "strong", "moderate", "weak"
   timeframe        String?  // "5", "15", "60"
   
-  // Signal quality logic version tracking
-  signalQualityVersion String? @default("v1") // Track which scoring logic was used
-  // v1: Original logic with price position < 5% threshold
-  // v2: Added volume compensation for low ADX (2025-11-07)
-  // v3: Stricter - price position < 15% requires ADX > 18 (2025-11-07)
-  
   // Status
   status           String   @default("open") // "open", "closed", "failed", "phantom"
   isTestTrade      Boolean  @default(false) // Flag test trades for exclusion from analytics