# SebastienZh/StockTradebyZ

Repository: https://github.com/SebastienZh/StockTradebyZ
Canonical: https://ross.abutalabs.com/products/stocktradebyz
Language: Python
License Family: other
Last push: 2026-03-14T12:19:32+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 31
- inputs: {"age_days": 443, "days_push": 172, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1390, forks 509 (observed 2026-08-28T04:04:35.525632+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: machine-learning, data-science, etl, data-visualization, llm-inference, prompt-engineering, trading, charts
- domain: fintech, artificial-intelligence, data-science, large-language-models, analytics
- platform: python, cli, cross-platform
- tags: a-share, stock-screening, gemini, tushare, kline-charts, quantitative-trading, semi-automated, chinese-stock-market

## Member repositories
- SebastienZh/StockTradebyZ (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.525632+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:38.089596+00:00, confidence not recorded.
  - readme: https://github.com/SebastienZh/StockTradebyZ (fetched 2026-08-28T04:04:35.525632+00:00, sha c1843f8dd99e)
- Data as of 2026-08-30T08:39:29.467469+00:00.