sngyai/Sequoia-X
A-share quantitative stock selection system
This repository provides a Python-based quantitative tool for automatically scanning and selecting A-share stocks using technical patterns like turtle breakouts and volume surges. It features an object-oriented architecture with vectorized calculations, utilizes baostock for data retrieval, and pushes daily results to Feishu after market close.
- GitHub trending history
- 1 day between Jun 19, when Trend began recording, and Oct 1, 2026 · first on Sep 2 · best daily rank #5 (Sep 2)
- Language
- Python
- Topics
- a-shares · akshare · baostock · pandas · python · stock-screening · ta-lib · trading
- Stars
- 7,700
- Stars gained in 7 days
- +100
- Contributors
- 9
- Forks
- 1,600
- Commits
- 202
- Last commit
- May 9, 2026
- Open issues
- 26
- Open pull requests
- 16
README badge
The badge above shows the highest this repository has ranked on GitHub's daily trending since June 19, 2026, and the day it did. Paste the Markdown below into your README. The badge opens this page, and it updates by itself when the repository climbs higher.
[](https://trend.ondo.sh/github/r/sngyai--Sequoia-X/en.html)