technical-patterns-lab/discuss/20260120-讨论下一步计划.md
褚宏光 6d545eb231 Enhance converging triangle detection with new features and documentation updates
- Added support for a detailed chart mode in plot_converging_triangles.py, allowing users to visualize all pivot points and fitting lines.
- Improved pivot fitting logic to utilize multiple representative points, enhancing detection accuracy and reducing false positives.
- Introduced a new real-time detection mode with flexible zone parameters for better responsiveness in stock analysis.
- Updated README.md and USAGE.md to reflect new features and usage instructions.
- Added multiple documentation files detailing recent improvements, including pivot point fitting and visualization enhancements.
- Cleaned up and archived outdated scripts to streamline the project structure.
2026-01-26 16:21:36 +08:00

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函数化:收敛三角形

控制参数:控制三角形的 目的参数:向上、向下

返回参数:可以给前端画图、突破强度指标(向上和向下的突破强度)

5000只个股-逐资产跑 每个个股,历史上所有交易日,每一天都要跑 收敛三角形。历史每一个点往过去滚动区间计算。基于过去数据的筛选。

LLM优化算法改迭代算法。

尽量复用已有函数。需要参考 data_server 的函数实现。

  1. 搭环境 (最高价、最低价、收盘价、成交价 -> 测试集 @永亮 A股里面先给100个万得全A等距取100个数据比如万得全A有5000个每隔50个取一个个股数据本地先跑。给我文件来处理。
  2. 落地函数(可以先取最近两年的窗口),筛选个股。
  3. 按照强度排序后,画曲线。