jing 0.3.1

Download stock data and perform data analisys

jing

This is a python library, used for download stock data and perform data analysis.

Installation

pip install jing

All required dependencies (requests, pandas, baostock, yfinance, akshare, binance-connector) will be installed automatically.

Usage

Only 2 classes are exported.

downloader D

• Function: download the data from internet to local file system
• Parameter:
  • _market (str): us, cn, hk, default is us
• Return Value: No return value

sample code

import jing

d = jing.D(_market='hk')
d.download('00005')

d = jing.D(_market='cn', _source='akshare')
d.download('600519')

Data layout

The project now uses a source-first layout under data/:

data/
  raw/
    yahoo/us/
    baostock/cn/
    akshare/cn/
    akshare/hk/
    binance/bn/
    list/
  parquet/
  duckdb/

Examples:

• US Yahoo CSV: data/raw/yahoo/us/AAPL.csv
• CN BaoStock CSV: data/raw/baostock/cn/sh.601088.csv
• HK AkShare CSV: data/raw/akshare/hk/00700.csv
• list files: data/raw/list/us.txt

Release to PyPI

1. Bump the version in pyproject.toml:

   version = "0.3.1"
   

2. Build the distribution packages:

   python -m build
   

3. Upload to PyPI:

   python -m twine upload dist/*
   

   You will need a PyPI account and API token. Configure twine once with python -m twine upload --repository testpypi dist/* to test first if desired.