- Introduced `config_utils.py` to provide utility functions for loading and managing indicator templates, enhancing modularity and maintainability.
- Implemented functions to load templates, generate dropdown options, and retrieve parameter schemas, default parameters, and styling for various indicators.
- Updated the indicator modal to dynamically create parameter fields based on the loaded configurations, improving user experience and reducing redundancy.
- Refactored existing parameter field creation logic to utilize the new utility functions, streamlining the codebase and adhering to project standards for clarity and maintainability.
These changes significantly enhance the configuration management for indicators, aligning with project goals for modularity and performance.
- 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.
