褚宏光
6d545eb231
- 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 - Cleaned up and archived outdated scripts to streamline the project structure.
18 lines
851 B
Markdown
18 lines
851 B
Markdown
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。
|