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.

lib/database/trades.ts

@@ -52,7 +52,6 @@ export interface CreateTradeParams {
   volumeAtEntry?: number
   pricePositionAtEntry?: number
   signalQualityScore?: number
-  signalQualityVersion?: string // Track which scoring logic version was used
   // Phantom trade fields
   status?: string
   isPhantom?: boolean
@@ -76,7 +75,6 @@ export interface UpdateTradeStateParams {
   maxAdverseExcursion?: number
   maxFavorablePrice?: number
   maxAdversePrice?: number
-  runnerTrailingPercent?: number
 }
 
 export interface UpdateTradeExitParams {
@@ -237,7 +235,6 @@ export async function updateTradeState(params: UpdateTradeStateParams) {
             maxAdverseExcursion: params.maxAdverseExcursion,
             maxFavorablePrice: params.maxFavorablePrice,
             maxAdversePrice: params.maxAdversePrice,
-            runnerTrailingPercent: params.runnerTrailingPercent,
             lastUpdate: new Date().toISOString(),
           }
         }