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README.md

@@ -28,10 +28,10 @@ The system employs a sophisticated ensemble architecture:
 - **Ensemble Heads**: Specialized prediction heads inspired by XGBoost, LightGBM, Random Forest, and Gradient Boosting
 - **Dynamic Weighting**: Softmax-based attention weights for weighted prediction averaging
 
-## Latest Training Stats (2026-01-12 06:23:49)
-- **Last Trained Symbol**: MRVI
+## Latest Training Stats (2026-01-12 06:24:07)
+- **Last Trained Symbol**: TGEN
 - **Validation Accuracy**: 98.5%
-- **Validation Loss (MSE)**: 0.0016341502778232098
+- **Validation Loss (MSE)**: 0.003834271337836981
 - **Total Unique Symbols in Training History**: N/A
 
 ## Continuous Training