- Added `realtime_execution.py` for real-time strategy execution, enabling live signal generation and integration with the dashboard's chart refresh cycle.
- Introduced `data_integration.py` to manage market data orchestration, caching, and technical indicator calculations for strategy signal generation.
- Implemented `validation.py` for comprehensive validation and quality assessment of strategy-generated signals, ensuring reliability and consistency.
- Developed `batch_processing.py` to facilitate efficient backtesting of multiple strategies across large datasets with memory management and performance optimization.
- Updated `__init__.py` files to include new modules and ensure proper exports, enhancing modularity and maintainability.
- Enhanced unit tests for the new features, ensuring robust functionality and adherence to project standards.
These changes establish a solid foundation for real-time strategy execution and data integration, aligning with project goals for modularity, performance, and maintainability.