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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)

Read from GitHub, as of October 1, 2026.

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

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README badge

trend.ondo.sh · GitHub daily trending #5 · September 2, 2026

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