fix(ml): complete ML pipeline fixes and setup

- Fix CCI indicator to use HLC prices instead of close only
- Parse datetime column when loading enriched CSV
- Strip timezone from annotation timestamps
- Fix TA-Lib pattern names (CDL3WHITESOLDIERS, CDL3BLACKCROWS)
- Exclude programmatic label columns from training features
- Fix classification report to handle missing classes
- Update MLflow tracking to use localhost:5000
- Grant PostgreSQL permissions to ml_user

Pipeline now runs successfully end-to-end:
- Feature engineering: 2543 rows, 31 columns
- Annotation ingestion: 286 samples
- Training: 89.47% test accuracy with Random Forest

services/ml/config/pipeline.yaml

@@ -127,7 +127,7 @@ stages:
     
     # MLflow settings
     mlflow:
-      tracking_uri: "http://mlflow:5000"
+      tracking_uri: "http://localhost:5000"
       experiment_name: "candlestick_patterns"
       log_artifacts: true
       register_model: false  # Set to true to register in model registry