- Enhanced the `UserIndicator` class to include an optional `timeframe` attribute for custom indicator timeframes.
- Updated the `get_indicator_data` method in `MarketDataIntegrator` to fetch and calculate indicators based on the specified timeframe, ensuring proper data alignment and handling.
- Modified the `ChartBuilder` to pass the correct DataFrame for plotting indicators with different timeframes.
- Added UI elements in the indicator modal for selecting timeframes, improving user experience.
- Updated relevant JSON templates to include the new `timeframe` field for all indicators.
- Refactored the `prepare_chart_data` function to ensure it returns a DataFrame with a `DatetimeIndex` for consistent calculations.
This commit enhances the flexibility and usability of the indicator system, allowing users to analyze data across various timeframes.
- 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.
- Introduced a comprehensive user indicator management system in `components/charts/indicator_manager.py`, allowing users to create, edit, and manage custom indicators with JSON persistence.
- Added new default indicators in `components/charts/indicator_defaults.py` to provide users with immediate options for technical analysis.
- Enhanced the chart rendering capabilities by implementing the `create_chart_with_indicators` function in `components/charts/builder.py`, supporting both overlay and subplot indicators.
- Updated the main application layout in `app.py` to include a modal for adding and editing indicators, improving user interaction.
- Enhanced documentation to cover the new indicator system, including a quick guide for adding new indicators and detailed usage examples.
- Added unit tests to ensure the reliability and functionality of the new indicator management features.
