Add Deep Learning (LSTM) + Quick Wins automation features

Major improvements:
- Deep Learning integration with PyTorch LSTM (Bidirectional, 128→64 units)
- Hybrid predictor: 40% RandomForest + 60% Deep Learning
- LaunchAgent for automatic weekly tip generation (Tue/Fri 21:00)
- Health-Check system with auto-recovery and Telegram alerts
- Model caching and intelligent retraining logic
- Updated CSV data and generated tips
- Performance reports for recent draws

Technical details:
- PyTorch used instead of TensorFlow (Python 3.14 compatibility)
- Apple Silicon MPS acceleration support
- Sequence learning with 20-draw history
- Early stopping and learning rate scheduling

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -0,0 +1,9 @@
+{
+  "trained_at": "2026-01-05T14:26:53.036260",
+  "num_samples": 4954,
+  "num_features": 20,
+  "final_loss": 0.3721399052489188,
+  "final_val_loss": 0.3729977588499746,
+  "best_val_loss": 0.37259673303173435,
+  "epochs_trained": 30
+}