Ross ROSS = Recommend OSS · open-source software intelligence for agents

khscience/OSkhQuant

看海量化回测系统(看海量化交易系统)开源代码,khQuant框架,实现A股可视化回测,全部开源。 observed · 2026-08-28

github.com/khscience/OSkhQuant · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 78
  • Release rhythm 48
  • Longevity 43

Flags: 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: 602
  • days_rel: 137
  • days_push: 137
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1538 stars · 417 forks observed · 2026-08-28

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

KHQuant (看海量化交易系统) is a free, open-source quantitative backtesting and trading system for China's A-share market, built on MiniQMT with a graphical interface. It lets strategies run locally in Python with full access to third-party libraries, supporting backtesting, simulation, and live trading from a unified strategy file.

Use cases

  • backtest A-share stock trading strategies visually
  • run quantitative strategies locally with Python libraries
  • simulate and paper-trade strategies before going live
  • apply machine learning and signal processing models to stock trading
  • switch a strategy between backtest, simulation, and live trading
  • avoid cloud quant platforms and keep strategy code private

When to choose

  • you trade China A-shares and use MiniQMT with a broker account
  • you want a free, open-source, GUI-driven backtesting platform
  • you need unrestricted access to Python libraries like AI/ML frameworks in strategies
  • you want strategy code and data to stay on your local machine

When to avoid

  • you trade non-Chinese markets (US stocks, crypto, forex)
  • you need a headless or purely programmatic backtesting library like Backtrader
  • you require a fully audited, professionally signed production trading system
  • you need multi-asset or futures/options support out of the box

Facets

application · maturity active

trading data-visualization gui machine-learning developer-tools fintech analytics data-visualization windows python quantitative-trading backtesting a-shares miniqmt stock-market algorithmic-trading chinese-market automation desktop

1 source

Member repositories

RepositoryRoleHealth v2
khscience/OSkhQuantmain60

For agents

markdown · JSON · MCP: product_card(name="khscience/OSkhQuant")

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