dayquant
Token 鉴权的行情 / 财务数据 Python 客户端：本地缺失时自动从服务器增量拉取 parquet，再用 DuckDB 查询，返回 pandas DataFrame。
安装
pip install dayquant
快速开始
import dayquant as dq
cli = dq.create_client("YOUR_TOKEN", "/path/to/data_root")
df = cli.fetch_stock_daily(
stock_code="000001.SZ",
start_date="20240101",
end_date="20240131",
)
print(df.head())
本地没有对应数据时，会自动按查询范围从服务器下载后再返回结果。
也可主动下载：
cli.download_all() # 全量增量
cli.download("stock_daily", "stock_income") # 按接口名
环境变量（可选）
| 变量 | 说明 |
|---|---|
DAYQUANT_SERVER |
下载服务地址 |
DAYQUANT_DATA_ROOT |
默认数据根目录（仍建议在 create_client 中显式传入） |
DAYQUANT_MAX_ROWS |
单次查询最大行数，默认 500000 |
要求
- Python >= 3.10
- 依赖：duckdb、pandas、requests、tqdm、python-dotenv
更完整的接口说明见 usage/ 目录（每个接口一份独立文档），或包内 dayquant/README.md。
作者与联系
| 项目 | 信息 |
|---|---|
| 作者 | dayquant |
| 邮箱 | info@dayquant.com |
| 官网 | https://www.dayquant.com |
License
MIT
1 maintainer
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