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Download and store historical stock data to a Pandas dataframe using the 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.
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)
Accepted values for interval
are:
1d
(default)1wk
1mo
If no end_date
is provided, the current date will be used.
git clone https://github.com/lucaionescu/mini-yahoo-finance-api.git
cd mini-yahoo-finance-api/
pip install .
Suggestions or problems? Don't hesitate to contact me or open a pull request!
FAQs
Download and store historical stock data to a Pandas dataframe using the Yahoo! Finance API.
We found that mini-yahoo-finance demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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