- Introduced a new `system_health_constants.py` file to define thresholds and constants for system health metrics.
- Refactored existing system health callbacks into modular components, enhancing maintainability and clarity.
- Implemented dynamic loading of time range options in `charts.py`, improving flexibility in time range selection.
- Added detailed documentation for new callback functions, ensuring clarity on their purpose and usage.
- Enhanced error handling and logging practices across the new modules to ensure robust monitoring and debugging capabilities.
These changes significantly improve the architecture and maintainability of the system health monitoring features, aligning with project standards for modularity and performance.
- Updated `ChartBuilder` to support dynamic indicator integration, allowing users to specify overlay and subplot indicators for enhanced chart analysis.
- Implemented a new `get_indicator_data` method in `MarketDataIntegrator` for fetching indicator data based on user configurations.
- Added `create_export_controls` in `chart_controls.py` to facilitate data export options (CSV/JSON) for user analysis.
- Enhanced error handling and logging throughout the chart and data analysis processes to improve reliability and user feedback.
- Updated documentation to reflect new features and usage guidelines for indicator management and data export functionalities.
- 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.
- Updated `register_chart_callbacks` to include enhanced market statistics.
- Implemented new data analysis callbacks in `dashboard/callbacks/data_analysis.py` for volume and price movement analysis.
- Created `VolumeAnalyzer` and `PriceMovementAnalyzer` classes for detailed statistical calculations.
- Integrated data analysis components into the market statistics layout, providing users with insights on volume trends and price movements.
- Improved error handling and logging for data analysis operations.
- Updated documentation to reflect the new features and usage guidelines.
- 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.
