fix prediction report

src/services/stock_predictor.py

@@ -358,6 +358,7 @@ class AsyncStockPredictor:
                 max_pred = np.max(predictions)
                 price_change = ((mean_pred - last_close) / last_close) * 100
 
+                '''
                 message_parts.extend([
                     "🎲 **Price Predictions:**",
                     f"• Expected Price: ${mean_pred:.2f} ({price_change:+.2f}%)",
@@ -365,6 +366,13 @@ class AsyncStockPredictor:
                     f"• Prediction Samples: {len(predictions)}",
                     ""
                 ])
+                '''
+                message_parts.extend([
+                    "🎲 **Price Predictions:**",
+                    f"• Expected Price: ${mean_pred:.2f} ({price_change:+.2f}%)",
+                    f"• Price Range: ${min_pred:.2f} - ${max_pred:.2f}",
+                    ""
+                ])
 
             # Add technical indicators if available
             if indicators: