Skip to main content

stockdata-hub

统一的多源股票数据接口库:可插拔、按优先级兜底,把 akshare / mootdx / 腾讯 / 新浪 / 东财 / openstockdata / iTick 收敛为一套统一契约。

你只管 fetch("600519"),底层用哪个源、怎么 fallback、返回什么格式,全部透明。


特性

  • 统一契约:所有源返回结构一致的 DataFrame(date/open/high/low/close/volume,可选 amount、ma5/ma10/ma20),volume 统一为「手」。
  • 多源兜底:内置 11 个数据源,按 priority 顺序尝试,命中第一个成功的源。
  • 缺依赖降级:akshare / mootdx / openstockdata / itick-sdk 都是可选依赖;缺失时对应源自动跳过,不影响其它源。
  • 可插拔:想加自己的源?继承 DataProvider 两个方法即可(见 docs/add_provider.md)。
  • 零强制网络依赖:核心只依赖 pandas + requests,其余按需安装。
  • 分钟级数据:fetch_minute / fetch_intraday 提供 1m~60m K 线,独立于日线兜底链、内置盘中轮询缓存(设计 §6.4)。

安装

# 仅核心(用默认兜底链路,但多数源需要下面 extra)
pip install stockdata-hub

# 安装全部数据源支持(推荐)
pip install stockdata-hub[all]

# 或按需安装单个源
pip install stockdata-hub[akshare]        # A股/ETF/港股
pip install stockdata-hub[mootdx]         # 通达信 TCP 高速 K线
pip install stockdata-hub[openstockdata]  # 百度/腾讯 K线(alpha)
pip install stockdata-hub[itick]          # 全球行情(需 Token)

30 秒上手

from stockdata_hub import StockDataFetcher

fetcher = StockDataFetcher()
df, reason, code = fetcher.fetch_daily_kline("600519", days=30)  # 日 K 线(fetch_stock_data 为其兼容别名)

if df is not None:
    print(df.tail())
    print("实际命中源:", fetcher.get_last_used_provider())
else:
    print("失败原因:", reason)

返回三元组:(DataFrame, 失败原因, 实际代码)。成功时 reason=None。

日 K 线接口的完整参数、统一契约、多源兜底优先级、以及"如何取前复权(qfq)"专题,见 👉 docs/daily_kline_api.md。


分钟数据(Intraday)

除日线外,本库提供与 fetch_stock_data 平行的分钟级 K 线入口,沿用同一套「多源兜底 + 统一格式 + 限流防封」范式。

from stockdata_hub import fetch_minute

# 当日 1 分钟;symbol 支持代码 / 名称(如 "贵州茅台")
df, reason, code = fetch_minute("600519", period="1m", days=1)
if df is not None:
    # 600519 240 ['datetime','open','high','low','close','volume']
    print(code, len(df), list(df.columns))
    print(df[["datetime", "close", "volume"]].tail())
  • 支持的 period:"1m" / "5m" / "15m" / "30m" / "60m"(默认 "1m")。
  • 返回统一分钟契约:datetime + OHLCV(volume 单位 = 手,与日线一致),可选 amount。
  • 多源兜底链(优先级 1→4):mootdx 分钟 → 东财分钟 → 新浪分钟 → openstockdata分钟(可选,百度,后置兜底)。
  • 盘中轮询内置缓存(use_cache=True):TTL 随周期(1m/5m=60s),跨 TTL 去重合并、不丢中间 bar。

与日线接口向后兼容:日线用 fetch_stock_data(返回 date),分钟用 fetch_intraday / fetch_minute(返回 datetime),下游消费代码可共享 OHLCV 处理。

完整 API / 参数 / 错误码 / 契约字段见 👉 docs/intraday_api.md; 可运行示例见 👉 examples/intraday_example.py。


统一契约

所有 Provider 最终返回的 DataFrame 满足:

列 类型 说明
date datetime64 交易日期
open / high / low / close float OHLC
volume float 成交量,单位 = 手 (lot)(A股/ETF 1 手 = 100 股)
amount float(可选) 成交额
ma5 / ma10 / ma20 float(可选) 均线(源提供时保留)

⚠️ 新增 Provider 的硬规则:返回的 volume 必须是「手」。返回「股」的源(如 openstockdata)必须在 fetch_data 内先 ÷ VOLUME_SHARE_TO_LOT(100)。管理器会 再做一次统一规范化(列别名、数值化、日期、排序、截取、去多余列)。


内置数据源与优先级(越小越优先)

优先级 Provider 依赖 能力
0 腾讯批量实时 (零额外依赖) 当日快照(批量,days=1)
1 通达信TCP(mootdx) mootdx A股/ETF 日线(<50ms)
2 openstockdata cn-a-stock-data 百度/腾讯 K线(alpha)
3 iTick 全球行情 itick-sdk + Token 全球多市场
3 新浪A股 akshare A股日线
4 腾讯A股 / ETF(akshare) akshare A股/ETF 日线
5 港股(akshare) akshare 港股日线
6 A股(akshare) / 东财A股 akshare A股日线
7 东财替代 (零额外依赖) 直连东财 K线
10 通用(akshare) akshare 最后兜底

分钟源优先级(仅处理 period ∈ 1m/5m/15m/30m/60m)

优先级 Provider 依赖 源
1 通达信TCP(mootdx)分钟 mootdx 通达信 TCP,实时、最快
2 东财分钟 (零额外依赖) 东财 HTTP,历史深、需限流
3 新浪分钟 (零额外依赖) 新浪 HTTP,兜底
4(可选) openstockdata分钟 cn-a-stock-data 百度 K线,后置兜底

未安装 mootdx / cn-a-stock-data 时对应源自动跳过,不影响其余源(见 docs/intraday_api.md §4)。


自定义:管理器 / 新增源

from stockdata_hub import DataProviderManager, StockDataFetcher

# 只看 Provider 列表
mgr = DataProviderManager.build_default()
for info in mgr.get_provider_list():
    print(info["name"], info["priority"])

# 调整优先级 / 移除 / 新增
mgr.set_provider_priority("openstockdata", 0)
mgr.remove_provider("东财替代")

fetcher = StockDataFetcher(manager=mgr)

如何新增一个数据源? 见 👉 docs/add_provider.md(含完整可运行示例)。


项目结构

stockdata-hub/
├── pyproject.toml
├── README.md
├── LICENSE
├── CONTRIBUTING.md
├── docs/
│   ├── add_provider.md         # 如何新增 Provider
│   ├── daily_kline_api.md      # 日 K 线 API 参考(参数/契约/兜底/前复权专题)
│   ├── intraday_api.md         # 分钟数据 API 参考(参数/契约/错误码)
│   ├── intraday_design.md      # 分钟数据设计文档
│   └── intraday_requirements.md
├── examples/
│   └── intraday_example.py     # 分钟数据可运行示例
├── src/stockdata_hub/
│   ├── __init__.py             # 公共 API(含 fetch_minute 顶层函数)
│   ├── core.py                 # DataProvider / DataProviderManager / 重试
│   ├── code_utils.py           # 股票代码标准化
│   ├── normalization.py        # 统一契约规范化
│   ├── cache.py                # 可选缓存 + 分钟轮询缓存
│   ├── fetcher.py              # StockDataFetcher 门面
│   ├── name_provider.py        # 名称->代码(可选)
│   └── providers/              # 各数据源实现
│       ├── akshare_provider.py
│       ├── mootdx_provider.py
│       ├── mootdx_minute_provider.py
│       ├── eastmoney_minute_provider.py
│       ├── sina_minute_provider.py
│       ├── http_provider.py    # 新浪/腾讯/东财
│       ├── fast_tencent_provider.py
│       ├── openstockdata_provider.py
│       ├── openstockdata_minute_provider.py
│       └── itick_provider.py
└── tests/

开发 / 测试

git clone https://github.com/stockdata-hub/stockdata-hub
cd stockdata-hub
pip install -e .[all]
pip install pytest

python -m pytest tests/ -q

许可证

MIT

Metadata

Release files for stockdata-hub 0.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for stockdata-hub 0.1.8
File Size Uploaded Provenance Actions
stockdata_hub-0.1.8.tar.gz 55.0 kB With provenance Details for stockdata_hub-0.1.8.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for stockdata-hub 0.1.8
File Interpreter ABI Platform Actions
stockdata_hub-0.1.8-py3-none-any.whl Python 3 none any Details for stockdata_hub-0.1.8-py3-none-any.whl

Total release size: 119.0 kB

Release files / stockdata_hub-0.1.8.tar.gz

Download URL stockdata_hub-0.1.8.tar.gz
Size 55.0 kB
Tags Source
SHA-256 checksum
How to use checksums
41428de5e55d9165c6a598befa0b07bca6bcbe2af3e3857f7d71d40aadb05cb3
BLAKE2b-256 checksum
How to use checksums
1095ac7b9d733c4c37e9cf9988fd4110d2938ee85336bca6f5c46fcc49d653fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Release files / stockdata_hub-0.1.8-py3-none-any.whl

Download URL stockdata_hub-0.1.8-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
688dcea8195eb7608d712a038226c1112f4330fbac15ec442926d220c03e87f4
BLAKE2b-256 checksum
How to use checksums
b3ed246c0c4d604fc3d97c54806ea3db32837a428dbe3881e69fef8c8bb36a2d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Security for stockdata-hub 0.1.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for stockdata_hub-0.1.8.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page