- Added support for daily best stocks reporting, including a new CSV output for daily best triangles based on strength.
- Introduced a logging mechanism to capture detailed execution logs, improving traceability and debugging.
- Implemented a v2 optimization for batch detection, significantly reducing detection time from 92 seconds to under 2 seconds.
- Updated the .gitignore file to include new log files and outputs for better management.
- Enhanced the pipeline script to allow for flexible configuration of detection parameters and improved user experience.
Files modified:
- scripts/run_converging_triangle.py: Added logging and v2 optimization.
- scripts/pipeline_converging_triangle.py: Updated for new features and logging.
- scripts/plot_converging_triangles.py: Adjusted for new plotting options.
- New files: discuss/20260127-拟合线.md, discuss/20260128-拟合线.md, and several images for visual documentation.
- Revised README.md to enhance clarity on core functionalities and usage instructions.
- Updated USAGE.md to reflect the new pipeline script and its parameters.
- Modified .gitignore to include additional output files for better management.
- Removed outdated output files (all_results.csv, report.md, strong_breakout_up.csv, strong_breakout_down.csv) to streamline data handling.
- Improved structure and descriptions in documentation for better user guidance.
- 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.
