# ricequant/rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Repository: https://github.com/ricequant/rqalpha
Canonical: https://ross.abutalabs.com/products/rqalpha
Homepage: http://rqalpha.io
Language: Python
License: NOASSERTION
License Family: other
Topics: quant, python, backtest, finance, ricequant, ta-lib, rqalpha, trading, stock, futures
Last push: 2026-08-24T11:07:05+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 94, longevity 100
- inputs: {"age_days": 3696, "days_push": 9, "days_rel": 41, "gap_med": 25, "n_releases_24m": 22}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6722, forks 1787 (observed 2026-08-28T04:09:48.079693+00:00)

## What it is
RQAlpha is an extendable, replaceable Python algorithmic trading and backtesting framework supporting multiple security types such as stocks and futures. It provides a full pipeline from data acquisition and backtesting to paper trading, live trading, and performance analysis, extensible via a Mod hook system.

## Use cases
- backtest a stock trading strategy in python
- backtest futures strategies with historical data
- paper trade an algorithmic trading strategy
- build a custom quant trading system with plugins
- compute risk metrics and plot strategy performance
- run daily algorithmic trading simulations

## When to choose
- you want a Python-native backtesting engine for stocks or futures
- you need a modular framework you can extend with custom mods
- you want integration with the Ricequant community for backtests and paper trading

## When to avoid
- you need commercial use without a license agreement (non-commercial only)
- you need live trading for asset classes beyond its supported securities
- you prefer a GUI-first platform over a code/CLI framework

## Facets
- artifact type: framework
- maturity: active
- function: trading, simulation, analytics, cli
- domain: fintech, data-science
- platform: python, cli, cross-platform
- tags: quant, backtest, algorithmic-trading, stocks, futures, mod-system, automation

## Member repositories
- ricequant/rqalpha (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:48.079693+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 2026-08-29T17:42:54.432679+00:00, confidence not recorded.
  - readme: https://github.com/ricequant/rqalpha (fetched 2026-08-28T04:09:48.079693+00:00, sha ed6aea42dedb)
  - registry_pypi: https://pypi.org/pypi/rqalpha/json (fetched 2026-08-29T08:38:53.928478+00:00, sha 55f5c2b99602)
- Data as of 2026-08-30T08:39:29.467469+00:00.