KNN形态识别 股票形态识别(如W双底)用图像识别的方法准确率高但速度慢(因要画图),用K-近邻方法以数值型数据计算快准确率基本符合要求(查准率70%左右),可用于对决策时间有要求的交易。 工作完成情况: 1、W双底识别模型查准确率约70% 2、模型文件上载到聚宽后可在回测中调用。
active 2023-09-08 → 2025-09-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 733 days from 2023-09-08 to 2025-09-09. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 12 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 12 stars here means stars gained during the window, not the repo's star count.