Implement modular architecture for Crypto Trading Bot Dashboard

- Introduced a new modular structure for the dashboard, enhancing maintainability and scalability.
- Created main application entry point in `app_new.py`, integrating all components and callbacks.
- Developed layout modules for market data, bot management, performance analytics, and system health in the `layouts` directory.
- Implemented callback modules for navigation, charts, indicators, and system health in the `callbacks` directory.
- Established reusable UI components in the `components` directory, including chart controls and indicator modals.
- Enhanced documentation to reflect the new modular structure and provide clear usage guidelines.
- Ensured all components are under 300-400 lines for better readability and maintainability.

docs/components/charts/README.md

@@ -63,6 +63,13 @@ components/charts/
 ├── builder.py               # Main chart builder
 └── utils.py                 # Chart utilities
 
+dashboard/                    # Modular dashboard integration
+├── layouts/market_data.py    # Chart layout with controls
+├── callbacks/charts.py      # Chart update callbacks
+├── components/
+│   ├── chart_controls.py    # Reusable chart controls
+│   └── indicator_modal.py   # Indicator management UI
+
 config/indicators/
 └── user_indicators/         # User-created indicators (JSON files)
     ├── sma_abc123.json
@@ -70,6 +77,44 @@ config/indicators/
     └── ...
 ```
 
+## Dashboard Integration
+
+The chart system is fully integrated with the modular dashboard structure:
+
+### Modular Components
+
+- **`dashboard/layouts/market_data.py`** - Chart layout with strategy selection and indicator controls
+- **`dashboard/callbacks/charts.py`** - Chart update callbacks with strategy handling
+- **`dashboard/components/chart_controls.py`** - Reusable chart configuration panel
+- **`dashboard/components/indicator_modal.py`** - Complete indicator management interface
+
+### Key Features
+
+- **Strategy Dropdown**: Auto-loads predefined indicator combinations
+- **Real-time Updates**: Charts update immediately with indicator changes
+- **Modular Architecture**: Each component under 300 lines for maintainability
+- **Separated Concerns**: Layouts, callbacks, and components in dedicated modules
+
+### Usage in Dashboard
+
+```python
+# From dashboard/layouts/market_data.py
+from components.charts.config import get_available_strategy_names
+from components.charts.indicator_manager import get_indicator_manager
+
+# Get available strategies for dropdown
+strategy_names = get_available_strategy_names()
+strategy_options = [{'label': name.replace('_', ' ').title(), 'value': name} 
+                   for name in strategy_names]
+
+# Get user indicators for checklists
+indicator_manager = get_indicator_manager()
+overlay_indicators = indicator_manager.get_indicators_by_type('overlay')
+subplot_indicators = indicator_manager.get_indicators_by_type('subplot')
+```
+
+For complete dashboard documentation, see [Dashboard Modular Structure](../../dashboard-modular-structure.md).
+
 ## User Indicator Management
 
 The system includes a comprehensive user indicator management system that allows creating, editing, and managing custom technical indicators.