3 Commits

Author	SHA1	Message	Date
褚宏光	3538b214ba	Enhance stock analysis features with K线图 and daily best reporting ... - Upgraded charting functionality from line graphs to K线图 for improved technical analysis. - Introduced a new daily best stocks report, outputting the top-performing stocks over the last 500 days. - Implemented automatic logging of execution details for better traceability. - Updated the .gitignore to include new output files related to the K线图 and logs. Files modified: - scripts/plot_converging_triangles.py: Enhanced to support K线图 rendering. - scripts/run_converging_triangle.py: Added logging and daily best reporting features. - README.md: Updated to reflect new features and usage instructions. - New files: docs/K线图说明.md for detailed K线图 usage and features.	2026-01-29 09:09:29 +08:00
褚宏光	09ac66caa1	Enhance converging triangle detection with new features and performance improvements ... - 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.	2026-01-28 18:43:46 +08:00
褚宏光	759042c5bd	性能优化：集成Numba加速，实现300+倍性能提升 ... 核心改进： - 新增 converging_triangle_optimized.py，使用Numba JIT编译优化7个核心函数 - 在 converging_triangle.py 末尾自动导入优化版本，无需手动配置 - 全量检测耗时从30秒降至<1秒（首次需3-5秒编译） 性能提升明细： - pivots_fractal: 460x 加速 - pivots_fractal_hybrid: 511x 加速 - fit_boundary_anchor: 138x 加速 - calc_boundary_utilization: 195x 加速 - calc_fitting_adherence: 7x 加速 - calc_breakout_strength: 3x 加速 绘图功能增强： - 添加 --plot-boundary-source 参数，支持选择高低价或收盘价拟合边界线 - 默认改为使用收盘价拟合（更平滑、更符合实际交易） - 添加 --show-high-low 参数，可选显示日内高低价范围 技术特性： - 自动检测并启用Numba加速，无numba时自动降级 - 结果与原版100%一致（误差<1e-6） - 完整的性能测试和对比验证 - 零侵入性，原版函数作为备用 新增文件： - src/converging_triangle_optimized.py - Numba优化版核心函数 - docs/README_性能优化.md - 性能优化文档索引 - docs/性能优化执行总结.md - 快速参考 - docs/性能优化完整报告.md - 完整技术报告 - docs/性能优化方案.md - 详细技术方案 - scripts/test_performance.py - 性能基线测试 - scripts/test_optimization_comparison.py - 优化对比测试 - scripts/test_full_pipeline.py - 完整流水线测试 - scripts/README_performance_tests.md - 测试脚本使用说明 修改文件： - README.md - 添加性能优化说明和依赖 - src/converging_triangle.py - 集成优化版本导入 - scripts/pipeline_converging_triangle.py - 默认使用收盘价拟合 - scripts/plot_converging_triangles.py - 默认使用收盘价拟合	2026-01-28 17:22:13 +08:00