training on predictins - WIP?

ANNOTATE/web/static/js/chart_manager.js

@@ -2800,20 +2800,34 @@ class ChartManager {
             predicted: prediction.candle,  // [O, H, L, C, V]
             actual: prediction.accuracy.actualCandle,  // [O, H, L, C, V]
             errors: prediction.accuracy.errors,  // {open, high, low, close, volume}
-            pctErrors: prediction.accuracy.pctErrors,  // {open, high, low, close, volume}
-            directionCorrect: prediction.accuracy.directionCorrect,
+            direction_correct: prediction.accuracy.directionCorrect,
             accuracy: prediction.accuracy.accuracy
         };
         
-        console.log('[Prediction Metrics for Training]', metrics);
+        console.log('[Prediction Metrics] Triggering online learning:', metrics);
         
-        // Send to backend via WebSocket for incremental training
-        if (window.socket && window.socket.connected) {
-            window.socket.emit('prediction_accuracy', metrics);
-            console.log(`[${timeframe}] Sent prediction accuracy to backend for training`);
-        } else {
-            console.warn('[Training] WebSocket not connected - metrics not sent to backend');
-        }
+        // Send to backend for incremental training (online learning)
+        fetch('/api/train-validated-prediction', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify(metrics)
+        })
+        .then(response => response.json())
+        .then(data => {
+            if (data.success) {
+                console.log(`[${timeframe}] ✓ Online learning triggered - model updated from validated prediction`);
+                
+                // Update metrics display if available
+                if (window.updateMetricsDisplay) {
+                    window.updateMetricsDisplay(data.metrics);
+                }
+            } else {
+                console.warn(`[${timeframe}] Training failed:`, data.error);
+            }
+        })
+        .catch(error => {
+            console.warn('[Training] Error sending metrics:', error);
+        });
     }
 
     /**