Download and store historical stock data to a Pandas dataframe using the Yahoo! Finance API.
Project description
Minimal Yahoo! Finance API
A minimal library for downloading stock data from Yahoo! Finance into a Pandas DataFrame.
Since I am using this functionality for some time now, I thought I might as well write up this code nicely into a library and make it available.
Example
from mini_yahoo_finance import get_stock_df df = get_stock_df('ADS.DE', '01-01-2018', end_date='31-01-2018', interval='1d', max_retries=3)
Usage
Accepted values for interval are:
1d(default)1wk1mo
If no end_date is provided, the current date will be used.
Installation
git clone https://github.com/lucaionescu/mini-yahoo-finance-api.git
cd mini-yahoo-finance-api/
pip install .
Requirements
- BeautifulSoup
- Pandas
- Requests
Possible future to-dos
- remove BeautifulSoup dependency
- bulk download of multiple stocks using multithreading
Suggestions or problems? Don't hesitate to contact me or open a pull request!
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