v0.1.6 - Complete Research Workflow with Synthetic Data Support

Added

Backtest Workflow Notebook

• Complete backtest execution notebook (notebooks/04_backtest.ipynb) with 48 cells
  • Strategy registry integration for catalog-driven backtesting
  • Multi-strategy batch execution with error handling
  • Comprehensive performance metrics visualization
  • Signal-strategy alignment validation
  • Metadata persistence for reproducibility
  • Production-ready workflow completing the 4-step research cycle

Synthetic Data Support

• Synthetic data generation utilities for development workflow (notebooks/generate_synthetic_data.py)
  • CDX, VIX, and ETF synthetic time series generation
  • Configurable market regimes and correlations
  • Documentation for synthetic data usage (notebooks/README_SYNTHETIC_DATA.md)
  • Enables full workflow execution without Bloomberg Terminal access

Changed

• Standardized product_id naming to lowercase format across all modules
  • Registry schema updated to use lowercase identifiers (e.g., cdx_ig_5y)
  • Strategy catalog updated with lowercase product references
  • All notebooks and examples updated for consistency
• Enhanced signal computation notebook with improved visualizations
  • Better subplot layouts and formatting
  • Clearer correlation heatmap presentation
• Refactored signal computation notebook to use fetch functions instead of hardcoded cache paths
• Updated documentation to reflect current codebase state and workflow completeness

Fixed

• Added missing imports to signal computation notebook
• Removed deprecated tenor field from DataRegistry schema
• Improved suitability evaluation workflow notebook organization