technical-patterns-lab/docs/20260120-讨论下一步计划.md
褚宏光 543572667b Add initial implementation of converging triangle detection algorithm and related documentation
- 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.
2026-01-21 18:02:58 +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。