sngyai

    sngyai/Sequoia-X

    A股自动选股系统 — 多种技术形态自动扫描,收盘后自动运行并推送飞书

    8.6K stars
    1.7K forks
    130 GitHub watchers
    Updated Nov 10, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 7 contributors on GitHub.

    Peaked at #24 in the weekly ranking the week of Sep 6, its best in the past year.

    Use Cases & Benefits

    • Implements an automated quantitative stock selection system for China's A-share market using multiple technical analysis strategies.
    • Provides fast, incremental data updates with local SQLite storage and automated daily notifications via Feishu webhook.
    • Use for automating end-of-day stock screening and push notifications to trading teams or individual investors.
    • Use for backfilling and maintaining a comprehensive historical A-share dataset with adjusted price data for research.
    • Use for applying diverse technical trading strategies like TurtleTrade and RPS breakout to identify potential stock opportunities.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A 股量化选股系统 V2 | A-Share Quantitative Stock Selection System V2

    Sequoia-X V2 是面向 A 股市场的量化选股系统,基于现代 Python 工程化标准从零重构。 系统以 OOP 架构、向量化计算和增量数据更新为核心设计原则,每日收盘后自动选股并推送至飞书群。

    数据层使用 baostock(免费、无需注册、无限流)拉取历史及增量日 K 数据(后复权), 存储于本地 SQLite,彻底规避东方财富反爬问题。

    Excerpt from the sngyai/Sequoia-X README on GitHub. © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 3: +481Sep 4: +139Sep 5: +99Sep 6: +85Sep 7: +43Sep 8: +78Sep 9: +78Sep 10: +65Sep 11: +63Sep 12: +28Sep 13: +41Sep 14: +46Sep 15: +34Sep 16: +10Nov 1: +37

    +2,608 stars over 70 days across 20 snapshot days; best day +481 on Sep 3.

    Forks

    1.7K+466

    Open issues

    44+22

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    sngyai/Sequoia-X8.6K—75—
    Category median94.7K+2.0K75—

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