What will we cover in this tutorial?
It is straight forward to achieve by using the new matplotlib finance API. The data can be collected by using Pandas-datareader with the open Yahoo! Finance API.
import pandas_datareader as pdr import datetime as dt import mplfinance as mpf df = pdr.get_data_yahoo("AAPL", dt.datetime(2020,6,1), dt.datetime.now()) mpf.plot(df, type='candle', style='charles', title='Apple', ylabel='Price', ylabel_lower='Volume', volume=True, mav=(1,3,6))
The mav-argument is the Moving Averages, I have also included the 1, which is the actual price.