# shidenggui/easyquant

股票量化框架，支持行情获取以及交易

Repository: https://github.com/shidenggui/easyquant
Canonical: https://ross.abutalabs.com/products/easyquant
Language: Python
License Family: other
Last push: 2025-03-27T11:10:50+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 35, longevity 100
- inputs: {"age_days": 3909, "days_push": 524, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3668, forks 1261 (observed 2026-08-28T04:08:13.453720+00:00)

## What it is
Easyquant is a Python quantitative trading framework for Chinese stock markets, built on easytrader and easyquotation with an event engine borrowed from vnpy. It supports real-time market data feeds from Sina and other sources, and automated trading through brokers like Huatai, Galaxy, and Xueqiu simulation accounts.

## Use cases
- build automated stock trading strategies in Python
- get free real-time Chinese stock market quotes
- automatically place trades through a brokerage account
- run event-driven strategies that react to live price pushes
- paper trade with a Xueqiu simulation account
- monitor portfolio balance and positions from a bot

## When to choose
- you trade Chinese A-share markets and want a lightweight Python quant framework
- you need free real-time quotes combined with broker account automation
- you want a simple event-driven strategy template similar to vnpy but easier to start with

## When to avoid
- you need institutional-grade backtesting, risk management, or multi-asset support
- you trade non-Chinese markets or need official broker APIs
- you require a maintained project with active support and a formal license guarantee

## Facets
- artifact type: framework
- maturity: maintenance
- function: trading, streaming, workflow-automation
- domain: fintech
- platform: python, cross-platform
- tags: quantitative-trading, stock-market, china-markets, event-driven, realtime-quotes, algorithmic-trading, automation

## Member repositories
- shidenggui/easyquant (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.453720+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 2026-08-29T18:31:21.779403+00:00, confidence not recorded.
  - readme: https://github.com/shidenggui/easyquant (fetched 2026-08-28T04:08:13.453720+00:00, sha b339b6f1582d)
- Data as of 2026-08-30T08:39:29.467469+00:00.