Revision 5 as of 2020-02-13 14:41:24

yfinance

https://pypi.org/project/yfinance/

yfinance aimes to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance.

pip install yfinance --user

   1 import yfinance
   2 from pandas._libs.tslibs.timestamps import Timestamp
   3 data = yfinance.download("AMZN",start="2019-01-01",end="2020-02-12")
   4 d = data.to_dict()
   5 d['Close'].key
   6 # for k in d['Close'].iterkeys(): print (k)
   7 d['Close'][Timestamp('2019-11-22 00:00:00')]
   8 d['Close'][Timestamp('2020-02-10 00:00:00')]