Implement signal quality scoring system

- Updated execute endpoint to store context metrics in database
- Updated CreateTradeParams interface with 5 context metrics
- Updated Prisma schema with rsiAtEntry and pricePositionAtEntry
- Ran migration: add_rsi_and_price_position_metrics
- Complete flow: TradingView → n8n → check-risk (scores) → execute (stores)

app/api/trading/execute/route.ts

@@ -19,6 +19,12 @@ export interface ExecuteTradeRequest {
   timeframe: string // e.g., '5'
   signalStrength?: 'strong' | 'moderate' | 'weak'
   signalPrice?: number
+  // Context metrics from TradingView
+  atr?: number
+  adx?: number
+  rsi?: number
+  volumeRatio?: number
+  pricePosition?: number
 }
 
 export interface ExecuteTradeResponse {
@@ -360,6 +366,12 @@ export async function POST(request: NextRequest): Promise<NextResponse<ExecuteTr
         // Market context
         expectedEntryPrice,
         fundingRateAtEntry,
+        // Context metrics from TradingView
+        atrAtEntry: body.atr,
+        adxAtEntry: body.adx,
+        rsiAtEntry: body.rsi,
+        volumeAtEntry: body.volumeRatio,
+        pricePositionAtEntry: body.pricePosition,
       })
       
       console.log('💾 Trade saved to database')