- Added pipeline_converging_triangle.py for streamlined execution of detection, reporting, and chart generation.
- Introduced triangle_config.py for centralized parameter management across scripts.
- Updated plot_converging_triangles.py to utilize parameters from the new config file.
- Revised report_converging_triangles.py to reflect dynamic detection window based on configuration.
- Enhanced existing scripts for improved error handling and output consistency.
- Added new documentation files for usage instructions and parameter configurations.
- Created README.md and USAGE.md for project overview and usage instructions.
- Added core algorithm in src/converging_triangle.py for batch processing of stock data.
- Introduced data files (open.pkl, high.pkl, low.pkl, close.pkl, volume.pkl) for OHLCV data.
- Developed output documentation for results and breakout strength calculations.
- Implemented scripts for running the detection and generating reports.
- Added SVG visualizations and markdown documentation for algorithm details and usage examples.
