Add trading signal and execution layers with database integration

- Introduced `TradingSignalLayer` and `TradeExecutionLayer` for visualizing buy/sell signals and trade entries/exits on charts.
- Implemented signal validation and filtering mechanisms to ensure data integrity and user-configurable options.
- Enhanced market data layout to support new timeframes for improved user experience.
- Updated documentation to reflect the new signal layer architecture and its integration with the dashboard.
- Ensured compatibility with existing components while maintaining a modular structure for future enhancements.

dashboard/layouts/market_data.py

@@ -25,6 +25,10 @@ def get_market_data_layout():
     # Create dropdown options
     symbol_options = [{'label': symbol, 'value': symbol} for symbol in symbols]
     timeframe_options = [
+        {'label': "1 Second", 'value': '1s'},
+        {'label': "5 Seconds", 'value': '5s'},
+        {'label': "15 Seconds", 'value': '15s'},    
+        {'label': "30 Seconds", 'value': '30s'},
         {'label': '1 Minute', 'value': '1m'},
         {'label': '5 Minutes', 'value': '5m'},
         {'label': '15 Minutes', 'value': '15m'},
@@ -34,9 +38,9 @@ def get_market_data_layout():
     ]
     
     # Filter timeframe options to only show those available in database
-    available_timeframes = [tf for tf in ['1m', '5m', '15m', '1h', '4h', '1d'] if tf in timeframes]
+    available_timeframes = [tf for tf in ['1s', '5s', '15s', '30s', '1m', '5m', '15m', '1h', '4h', '1d'] if tf in timeframes]
     if not available_timeframes:
-        available_timeframes = ['1h']  # Default fallback
+        available_timeframes = ['5m']  # Default fallback
     
     timeframe_options = [opt for opt in timeframe_options if opt['value'] in available_timeframes]