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tkfy920/qstock

qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。 observed · 2026-08-28

github.com/tkfy920/qstock · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

37/100

  • Activity 11
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 1423
  • days_rel: n/a
  • days_push: 535
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1930 stars · 391 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

qstock is a Python library for personal quantitative investment research, providing modules for fetching financial market data (from Eastmoney, THS, Sina), interactive web-based visualization, stock screening (RPS, MM trend, financial indicators, fund flow), and backtesting (vectorized pandas-based and event-driven). It offers clean, normalized market data interfaces for Chinese A-shares, futures, ETFs, HK/US stocks, and more.

Use cases

  • fetch realtime Chinese A-share market quotes in python
  • backtest a trading strategy with pandas
  • screen stocks by RPS or fund flow
  • plot interactive candlestick charts of stock prices
  • get intraday tick data for a stock
  • monitor unusual order flow alerts during trading
  • download historical stock data from eastmoney

When to choose

  • you need a simple all-in-one Python toolkit for Chinese market data, screening, and backtesting
  • you want clean normalized financial data without writing scrapers
  • you are a retail quant doing personal investment research on A-shares

When to avoid

  • you need institutional-grade data reliability or official licensed data feeds
  • you require advanced event-driven backtesting with realistic execution modeling
  • you work primarily with non-Chinese markets or need guaranteed long-term maintenance

Facets

library · maturity active

data-science data-visualization etl charts fintech data-science data-visualization analytics python cross-platform quantitative-finance stock-analysis backtesting stock-screening market-data chinese-markets webscraping-data

2 sources

Member repositories

RepositoryRoleHealth v2
tkfy920/qstockmain37

For agents

markdown · JSON · MCP: product_card(name="tkfy920/qstock")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem