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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)
  • 1wk
  • 1mo

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!

Project details


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