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 observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 91
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2966
- days_rel: n/a
- days_push: 54
- n_releases_24m: 0
Adoption not part of the score
5529 stars · 1183 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Sequoia-X is a Python-based quantitative stock screening system for China's A-share market that scans ~5200 stocks daily for technical patterns like turtle breakouts, RPS strength breakouts, and limit-up shakeouts. It stores historical daily K-line data in local SQLite via baostock and pushes selected picks to a Feishu group after each trading day's close.
Use cases
- automatically screen A-share stocks for technical breakout patterns each trading day
- backfill historical daily K-line data for the entire Chinese stock market
- get daily stock picks pushed to a Feishu group via webhook
- run turtle trading or O'Neil RPS relative strength strategies on A-shares
- avoid anti-scraping issues by using free baostock data with local SQLite storage
- schedule automated end-of-day stock selection with crontab
When to choose
- you trade Chinese A-shares and want automated end-of-day technical screening
- you want free, registration-free market data without fighting Eastmoney anti-crawler measures
- you prefer a self-hosted Python pipeline with local SQLite storage and Feishu notifications
When to avoid
- you need US, Hong Kong, or crypto markets rather than A-shares
- you need intraday or real-time screening rather than end-of-day signals
- you want a GUI or hosted service instead of a command-line Python tool
- you require backtesting or order execution - this only screens and notifies
Facets
application · maturity active
trading data-science scheduling webhook analytics fintech python cli self-hosted a-shares stock-screening quantitative-finance ta-lib baostock feishu turtle-trading technical-analysis automation data-engineering linux
1 source
- readme: https://github.com/sngyai/Sequoia-X · fetched 2026-08-28 · 4fbcb717a9db
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sngyai/Sequoia-X | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="sngyai/Sequoia-X")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem