more acc stats and predictions storage. chart optimisation

ANNOTATE/web/app.py

@@ -2843,6 +2843,11 @@ class AnnotationDashboard:
                     metrics['loss'] = rt_metrics.get('last_loss', 0.0)
                     metrics['accuracy'] = rt_metrics.get('last_accuracy', 0.0)
                     metrics['steps'] = rt_metrics.get('total_steps', 0)
+                    # Add best checkpoint metrics
+                    metrics['best_loss'] = rt_metrics.get('best_loss', float('inf'))
+                    metrics['best_accuracy'] = rt_metrics.get('best_accuracy', 0.0)
+                    if metrics['best_loss'] == float('inf'):
+                        metrics['best_loss'] = None
                 
                 # Get incremental training metrics
                 if hasattr(self, '_incremental_training_steps'):
@@ -2877,6 +2882,8 @@ class AnnotationDashboard:
                     'error': str(e)
                 }), 500
         
+
+        
         @self.server.route('/api/realtime-inference/train-manual', methods=['POST'])
         def train_manual():
             """Manually trigger training on current candle with specified action"""