SebastienZh/StockTradebyZ
None observed · 2026-08-28
Health v2 · maintenance only
51/100
- Activity 72
- Release rhythm 35
- Longevity 31
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 443
- days_rel: n/a
- days_push: 172
- n_releases_24m: 0
Adoption not part of the score
1390 stars · 509 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A semi-automated stock screening application for China's A-share market that fetches daily K-line data via Tushare, applies quantitative pre-selection rules, exports candidate candlestick charts, and uses Google Gemini to review and score the charts. It is orchestrated as a one-command pipeline (run_all.py) with configurable fetch, screening, and AI review stages.
Use cases
- screen A-share stocks with quantitative rules
- download daily stock kline data from Tushare
- use Gemini to score stock chart images
- generate candlestick charts for candidate stocks
- automate a stock picking pipeline
- get AI-assisted stock trade suggestions
- filter stocks by B1 strategy rules
When to choose
- you trade China A-shares and want a semi-automated screening workflow
- you want LLM-based chart review layered on top of rule-based preselection
- you already have Tushare and Gemini API keys and want a ready-made pipeline
When to avoid
- you need real-time trading or order execution
- you need markets outside China A-shares
- you require a maintained library with a license and formal API rather than a personal trading tool
- you cannot send chart images to a third-party LLM API
Facets
application · maturity active
machine-learning data-science etl data-visualization llm-inference prompt-engineering trading charts fintech artificial-intelligence data-science large-language-models analytics python cli cross-platform a-share stock-screening gemini tushare kline-charts quantitative-trading semi-automated chinese-stock-market
1 source
- readme: https://github.com/SebastienZh/StockTradebyZ · fetched 2026-08-28 · c1843f8dd99e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| SebastienZh/StockTradebyZ | main | 51 |
For agents
markdown · JSON · MCP: product_card(name="SebastienZh/StockTradebyZ")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem