Jul-31-2022, 08:20 PM
Hi,
See the code below.
See the code below.
import yfinance as yf ticker = "AAPL" date1 = '2010-01-01' # start and end date date2 = '2020-01-01' df=yf.download(ticker,date1, date2) def SMA(data, period=10): return data['Close'].rolling(window=period).mean() # df['SMA10']=SMA(df) df.head(11) Out[895]: Open High Low Close Adj Close Volume \ Date 2010-01-04 7.622500 7.660714 7.585000 7.643214 6.535085 493729600 2010-01-05 7.664286 7.699643 7.616071 7.656429 6.546385 601904800 2010-01-06 7.656429 7.686786 7.526786 7.534643 6.442255 552160000 2010-01-07 7.562500 7.571429 7.466071 7.520714 6.430344 477131200 2010-01-08 7.510714 7.571429 7.466429 7.570714 6.473095 447610800 2010-01-11 7.600000 7.607143 7.444643 7.503929 6.415992 462229600 2010-01-12 7.471071 7.491786 7.372143 7.418571 6.343011 594459600 2010-01-13 7.423929 7.533214 7.289286 7.523214 6.432483 605892000 2010-01-14 7.503929 7.516429 7.465000 7.479643 6.395229 432894000 2010-01-15 7.533214 7.557143 7.352500 7.354643 6.288351 594067600 2010-01-19 7.440357 7.685357 7.401429 7.680000 6.566539 730007600 SMA10 Date 2010-01-04 NaN 2010-01-05 NaN 2010-01-06 NaN 2010-01-07 NaN 2010-01-08 NaN 2010-01-11 NaN 2010-01-12 NaN 2010-01-13 NaN 2010-01-14 NaN 2010-01-15 7.520571 2010-01-19 7.524250 np.mean(df.Close[0:10]) Out[900]: 7.520571374893189