# shidenggui/easyquotation

实时获取免费股票行情，支持新浪 / 腾讯(港股) / 集思录

Repository: https://github.com/shidenggui/easyquotation
Canonical: https://ross.abutalabs.com/products/easyquotation
Language: Python
License: MIT
License Family: permissive
Last push: 2026-02-28T07:19:23+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 69, release rhythm 35, longevity 100
- inputs: {"age_days": 3906, "days_push": 186, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5372, forks 1512 (observed 2026-08-28T04:09:16.157576+00:00)

## What it is
A Python library for fetching free real-time stock quotes from Sina, Tencent (including Hong Kong stocks), and Jisilu. It retrieves full-market snapshots in ~200ms and supports single or multiple stock queries with detailed bid/ask data.

## Use cases
- fetch real-time china stock quotes in python
- get full market snapshot of all a-share stocks
- get hong kong stock realtime quotes
- download stock price data for quantitative trading
- fetch stock bid ask order book data
- get hk stock daily kline data
- free alternative to paid stock data api

## When to choose
- you need fast free real-time quotes for China A-shares or HK stocks in Python
- you want full-market snapshots for screening or quant strategies
- you're building tooling alongside easytrader/easyquant

## When to avoid
- you need guaranteed SLA or official licensed market data
- you need historical data beyond daily klines
- you're outside Python or need US/European markets

## Facets
- artifact type: library
- maturity: active
- function: http-client, data-science, sdk
- domain: fintech, data-science, apis
- platform: python, cross-platform
- tags: stock-quotes, china-stock-market, hong-kong-stocks, real-time-data, quantitative-finance, sina, tencent-finance, jisilu

## Member repositories
- shidenggui/easyquotation (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:16.157576+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 2026-08-29T17:58:42.327855+00:00, confidence not recorded.
  - readme: https://github.com/shidenggui/easyquotation (fetched 2026-08-28T04:09:16.157576+00:00, sha 327f77715a08)
  - registry_pypi: https://pypi.org/pypi/easyquotation/json (fetched 2026-08-29T08:52:51.292863+00:00, sha 228116ed1a49)
- Data as of 2026-08-30T08:39:29.467469+00:00.