Remove deprecated app_new.py and consolidate main application logic into main.py

- Deleted `app_new.py`, which was previously the main entry point for the dashboard application, to streamline the codebase.
- Consolidated the application initialization and callback registration logic into `main.py`, enhancing modularity and maintainability.
- Updated the logging and error handling practices in `main.py` to ensure consistent application behavior and improved debugging capabilities.

These changes simplify the application structure, aligning with project standards for modularity and maintainability.

dashboard/callbacks/data_analysis.py

@@ -6,13 +6,14 @@ from dash import Output, Input, html, dcc
 import dash_bootstrap_components as dbc
 from utils.logger import get_logger
 from dashboard.components.data_analysis import (
-    VolumeAnalyzer,
-    PriceMovementAnalyzer,
-    create_volume_analysis_chart,
-    create_price_movement_chart,
     create_volume_stats_display,
-    create_price_stats_display
+    create_price_stats_display,
+    get_market_statistics,
+    VolumeAnalyzer,
+    PriceMovementAnalyzer
 )
+from database.operations import get_database_operations
+from datetime import datetime, timezone, timedelta
 
 logger = get_logger("data_analysis_callbacks")
 
@@ -24,26 +25,38 @@ def register_data_analysis_callbacks(app):
     
     # Initial callback to populate charts on load
     @app.callback(
-        [Output('analysis-chart-container', 'children'),
-         Output('analysis-stats-container', 'children')],
-        [Input('analysis-type-selector', 'value'),
-         Input('analysis-period-selector', 'value')],
+        [Output('volume-analysis-chart', 'figure'),
+         Output('price-movement-chart', 'figure'),
+         Output('volume-stats-output', 'children'),
+         Output('price-stats-output', 'children'),
+         Output('market-statistics-output', 'children')],
+        [Input('data-analysis-symbol-dropdown', 'value'),
+         Input('data-analysis-timeframe-dropdown', 'value'),
+         Input('data-analysis-days-back-dropdown', 'value')],
         prevent_initial_call=False
     )
-    def update_data_analysis(analysis_type, period):
+    def update_data_analysis(symbol, timeframe, days_back):
         """Update data analysis with statistical cards only (no duplicate charts)."""
-        logger.info(f"🎯 DATA ANALYSIS CALLBACK TRIGGERED! Type: {analysis_type}, Period: {period}")
+        logger.info(f"🎯 DATA ANALYSIS CALLBACK TRIGGERED! Symbol: {symbol}, Timeframe: {timeframe}, Days Back: {days_back}")
+
+        db_ops = get_database_operations(logger)
+        end_time = datetime.now(timezone.utc)
+        start_time = end_time - timedelta(days=days_back)
         
-        # Return placeholder message since we're moving to enhanced market stats
-        info_msg = dbc.Alert([
-            html.H4("📊 Statistical Analysis", className="alert-heading"),
-            html.P("Data analysis has been integrated into the Market Statistics section above."),
-            html.P("The enhanced statistics now include volume analysis, price movement analysis, and trend indicators."),
-            html.P("Change the symbol and timeframe in the main chart to see updated analysis."),
-            html.Hr(),
-            html.P("This section will be updated with additional analytical tools in future versions.", className="mb-0")
-        ], color="info")
+        df = db_ops.market_data.get_candles_df(symbol, timeframe, start_time, end_time)
+
+        volume_analyzer = VolumeAnalyzer()
+        price_analyzer = PriceMovementAnalyzer()
         
-        return info_msg, html.Div()
+        volume_stats = volume_analyzer.get_volume_statistics(df)
+        price_stats = price_analyzer.get_price_movement_statistics(df)
+
+        volume_stats_display = create_volume_stats_display(volume_stats)
+        price_stats_display = create_price_stats_display(price_stats)
+        market_stats_display = get_market_statistics(df, symbol, timeframe)
+        
+        # Return empty figures for charts, as they are no longer the primary display
+        # And the stats displays
+        return {}, {}, volume_stats_display, price_stats_display, market_stats_display
 
     logger.info("✅ Data analysis callbacks registered successfully")