= 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

{{{#!highlight python
import yfinance
from pandas._libs.tslibs.timestamps import Timestamp
data = yfinance.download("AMZN",start="2019-01-01",end="2020-02-12")
d = data.to_dict()
d['Close'].key
# for k in d['Close'].iterkeys(): print (k)
d['Close'][Timestamp('2019-11-22 00:00:00')]
d['Close'][Timestamp('2020-02-10 00:00:00')]
}}}