Train neural prediction models using neural-trader's ML engine. Steps: 1. Ensure neural-trader is available: 2. Train the specified model: 3. Review training output: loss curves, validation metrics, prediction accuracy 4. Generate predictions with confidence intervals: 5. Compare model performance across types: 6. Store model results (canonical namespace per ADR-126 Phase 1 — was previously stored to undeclared ): 7. Train SONA on model outcomes: ---