# yutiansut/QUANTAXIS

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权  数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

Repository: https://github.com/yutiansut/QUANTAXIS
Canonical: https://ross.abutalabs.com/products/quantaxis
Homepage: https://yutiansut.github.io/QUANTAXIS/
Language: Python
License: MIT
License Family: permissive
Topics: quant
Last push: 2026-02-28T02:59:12+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 69, release rhythm 8, longevity 100
- inputs: {"age_days": 3809, "days_push": 186, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11045, forks 3445 (observed 2026-08-28T04:10:45.952134+00:00)

## What it is
QUANTAXIS is a Python quantitative finance framework providing local data fetching, backtesting, simulated and live trading, visualization, and multi-account management for stocks, futures, and options. Version 2.1 integrates a Rust core (QARS2) via a bridge layer for large performance gains and supports task scheduling and distributed deployment.

## Use cases
- backtest stock trading strategies in python
- fetch and store historical market data for stocks and futures
- run simulated trading with multiple accounts
- build a local quantitative trading pipeline
- speed up backtesting with a rust-backed engine
- deploy a quant research environment with docker and kubernetes

## When to choose
- you need an all-in-one local quant stack covering data, backtest, simulation, and trading
- you trade Chinese stocks, futures, or options and want QIFI-compatible accounts
- you want distributed deployment and task scheduling for quant workflows

## When to avoid
- you need a lightweight single-purpose backtester with minimal dependencies
- you require guaranteed production-grade live trading support
- you mainly work with non-Chinese markets or crypto assets

## Facets
- artifact type: framework
- maturity: active
- function: data-science, etl, data-visualization, workflow-automation, scheduling, trading, charts
- domain: fintech, data-science, analytics, developer-tools
- platform: python, windows, self-hosted, cross-platform
- tags: quantitative-finance, backtesting, stock-market, futures, options, algorithmic-trading, paper-trading, multi-account, rust-core, distributed-deployment, market-data, automation, docker, kubernetes, linux, macos

## Member repositories
- yutiansut/QUANTAXIS (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:45.952134+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 2026-08-29T17:16:50.937181+00:00, confidence not recorded.
  - readme: https://github.com/yutiansut/QUANTAXIS (fetched 2026-08-28T04:10:45.952134+00:00, sha bb5657bd4a98)
  - homepage: https://yutiansut.github.io/QUANTAXIS/ (fetched 2026-08-29T08:15:34.989605+00:00, sha 1f08d0d79d26)
- Data as of 2026-08-30T08:39:29.467469+00:00.