4.0 - 4.0 Implement real-time strategy execution and data integration features

- 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.

database/repositories/strategy_repository.py

@@ -181,6 +181,43 @@ class StrategyRepository(BaseRepository):
             self.log_error(f"Error retrieving strategy signals: {e}")
             raise DatabaseOperationError(f"Failed to retrieve strategy signals: {e}")
     
+    def store_signals_batch(self, signal_data_list: List[Dict[str, Any]]) -> int:
+        """
+        Store a batch of real-time strategy signals.
+        
+        Args:
+            signal_data_list: List of signal data dictionaries
+            
+        Returns:
+            Number of signals stored
+        """
+        try:
+            signals_stored = 0
+            with self.get_session() as session:
+                for signal_data in signal_data_list:
+                    strategy_signal = StrategySignal(
+                        run_id=None,  # Real-time signals don't have a run_id
+                        strategy_name=signal_data.get('strategy_name'),
+                        strategy_config=signal_data.get('strategy_config'),
+                        symbol=signal_data.get('symbol'),
+                        timeframe=signal_data.get('timeframe'),
+                        timestamp=signal_data.get('timestamp'),
+                        signal_type=signal_data.get('signal_type', 'HOLD'),
+                        price=Decimal(str(signal_data.get('price'))) if signal_data.get('price') else None,
+                        confidence=Decimal(str(signal_data.get('confidence', 0.0))),
+                        signal_metadata=signal_data.get('signal_metadata', {})
+                    )
+                    session.add(strategy_signal)
+                    signals_stored += 1
+                
+                session.commit()
+                self.log_info(f"Stored batch of {signals_stored} real-time strategy signals")
+                return signals_stored
+                
+        except Exception as e:
+            self.log_error(f"Error storing signals batch: {e}")
+            raise DatabaseOperationError(f"Failed to store signals batch: {e}")
+
     def get_strategy_signal_stats(self, run_id: Optional[int] = None) -> Dict[str, Any]:
         """Get statistics about strategy signals."""
         try: