# 1nchaos/adata

免费开源A股量化交易数据库； 专注A股，专注量化，向阳而生； 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生，保卫3000点，珍惜底部机会......【股票数据，股票行情数据，股票量化数据，股票交易数据，k线行情数据，股票概念数据，股票数据接口，行情数据接口，量化交易数据】【多数据源融合，动态设置代理，保障数据高可用性】

Repository: https://github.com/1nchaos/adata
Canonical: https://ross.abutalabs.com/products/adata
Homepage: https://adata.30006124.xyz
Language: Python
License: Apache-2.0
License Family: permissive
Topics: stock, a, 3000, financial, china, quant, datasource, stock-data, stock-market-data, kline, market-data
Last push: 2025-12-26T11:09:57+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 59, release rhythm 28, longevity 85
- inputs: {"age_days": 1198, "days_push": 250, "days_rel": 518, "gap_med": 70, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5132, forks 685 (observed 2026-08-28T04:09:11.027747+00:00)

## What it is
AData is a free, open-source Python library providing market data for China's A-share stock market, including stock codes, K-line quotes, ETFs, bonds, and concept data. It fuses multiple public data sources with dynamic proxy support to keep data access highly available for individual quantitative traders.

## Use cases
- fetch historical kline data for chinese a-share stocks
- get all stock codes on the shanghai and shenzhen exchanges
- download free stock market data for quantitative trading in python
- query etf and bond market data for china
- build a personal quant trading data pipeline without paid data feeds
- switch between multiple data sources when one public api fails

## When to choose
- you need free access to China A-share market data in Python
- you want a lightweight pip-installable sdk for stock quotes and klines
- you need multi-source fallback and proxy support for data reliability
- you are an individual quant trader avoiding paid data subscriptions

## When to avoid
- you need global markets outside China's A-shares
- you require guaranteed SLA-grade data quality or tick-level data
- you need a full backtesting or trading execution framework rather than data access

## Facets
- artifact type: library
- maturity: active
- function: database, sdk, data-science, http-client
- domain: fintech, data-science, analytics, apis
- platform: python, cross-platform
- tags: stock-market-data, a-shares, quantitative-trading, kline, china-market, etf, bond, multi-datasource, proxy-support, free-data

## Member repositories
- 1nchaos/adata (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.027747+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 2026-08-29T18:02:02.222801+00:00, confidence not recorded.
  - readme: https://github.com/1nchaos/adata (fetched 2026-08-28T04:09:11.027747+00:00, sha be85e8107908)
  - homepage: https://adata.30006124.xyz (fetched 2026-08-29T08:56:34.789214+00:00, sha 653bc572dfed)
  - registry_pypi: https://pypi.org/pypi/adata/json (fetched 2026-08-29T08:56:34.799596+00:00, sha 5f848b33725d)
- Data as of 2026-08-30T08:39:29.467469+00:00.
