3. 7 Enhance chart functionality with time range controls and stability improvements

- Updated `app_new.py` to run the application in debug mode for stability.
- Introduced a new time range control panel in `dashboard/components/chart_controls.py`, allowing users to select predefined time ranges and custom date ranges.
- Enhanced chart callbacks in `dashboard/callbacks/charts.py` to handle time range inputs, ensuring accurate market statistics and analysis based on user selections.
- Implemented logic to preserve chart state during updates, preventing resets of zoom/pan settings.
- Updated market statistics display to reflect the selected time range, improving user experience and data relevance.
- Added a clear button for custom date ranges to reset selections easily.
- Enhanced documentation to reflect the new time range features and usage guidelines.

dashboard/layouts/market_data.py

@@ -10,7 +10,7 @@ from components.charts.indicator_manager import get_indicator_manager
 from components.charts.indicator_defaults import ensure_default_indicators
 from dashboard.components.chart_controls import (
     create_chart_config_panel, 
-    create_auto_update_control
+    create_time_range_controls
 )
 
 logger = get_logger("default_logger")
@@ -79,7 +79,7 @@ def get_market_data_layout():
     
     # Create components using the new modular functions
     chart_config_panel = create_chart_config_panel(strategy_options, overlay_options, subplot_options)
-    auto_update_control = create_auto_update_control()
+    time_range_controls = create_time_range_controls()
     
     return html.Div([
         # Title and basic controls
@@ -112,8 +112,8 @@ def get_market_data_layout():
         # Chart Configuration Panel
         chart_config_panel,
         
-        # Auto-update control
-        auto_update_control,
+        # Time Range Controls (positioned under indicators, next to chart)
+        time_range_controls,
         
         # Chart
         dcc.Graph(id='price-chart'),