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

QuantFans/quantdigger

基于python的量化交易平台 observed · 2026-08-28

github.com/QuantFans/quantdigger · Python observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • 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 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4295
  • days_rel: n/a
  • days_push: 2314
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1811 stars · 653 forks observed · 2026-08-28

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

QuantDigger is a Python-based quantitative trading backtesting framework for stocks and futures, with strategy syntax inspired by commercial platforms like TB and Pyramid. It includes a matplotlib-based candlestick charting interface and supports stock selection, arbitrage, timing, and portfolio strategies.

Use cases

  • backtest stock trading strategies in python
  • backtest futures strategies
  • run portfolio trading strategy backtests
  • plot candlestick charts with strategy signals
  • backtest arbitrage and stock-picking strategies

When to choose

  • you want a python backtesting framework with trader-friendly strategy syntax
  • you need simple stock or futures backtesting with built-in charting
  • you prefer python over proprietary scripting languages of commercial platforms

When to avoid

  • you need live trading or broker connectivity - trading interfaces were never added
  • you need an actively maintained project - it is explicitly unmaintained since 2020
  • you need production-grade performance or modern python version support

Facets

library · maturity abandoned

trading data-visualization analytics fintech data-science python cross-platform quantitative-finance backtesting algorithmic-trading stocks futures kline-charting unmaintained algorithms

2 sources

Member repositories

RepositoryRoleHealth v2
QuantFans/quantdiggermain32

For agents

markdown · JSON · MCP: product_card(name="QuantFans/quantdigger")

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