Datareader package can be used to access data from multiple sources such as yahoo and google finance...
To install the package, use pip
!pip install pandas_datareader
importnumpyasnpimportpandasaspdfrompandas_datareaderimportdataaswbaapl=wb.DataReader('AAPL',data_source='yahoo',start='1995-1-1')At the time of writing this notebook, there is a bug in DataReader because of which You might run in to following error
TypeError: string indices must be integers
Use the following snippet to work around the above error.
importnumpyasnpimportpandasaspdimportyfinanceasyfyf.pdr_override()frompandas_datareaderimportdataaswb[*********************100%***********************] 1 of 1 completed
aapl=wb.DataReader('AAPL',data_source='yahoo',start='1995-1-1')[*********************100%***********************] 1 of 1 completed
aapl| Open | High | Low | Close | Adj Close | Volume | |
|---|---|---|---|---|---|---|
| Date | ||||||
| 1995-01-03 | 0.347098 | 0.347098 | 0.338170 | 0.342634 | 0.288771 | 103868800 |
| 1995-01-04 | 0.344866 | 0.353795 | 0.344866 | 0.351563 | 0.296296 | 158681600 |
| 1995-01-05 | 0.350446 | 0.351563 | 0.345982 | 0.347098 | 0.292533 | 73640000 |
| 1995-01-06 | 0.371652 | 0.385045 | 0.367188 | 0.375000 | 0.316049 | 1076622400 |
| 1995-01-09 | 0.371652 | 0.373884 | 0.366071 | 0.367885 | 0.310052 | 274086400 |
| ... | ... | ... | ... | ... | ... | ... |
| 2023-01-09 | 130.470001 | 133.410004 | 129.889999 | 130.149994 | 130.149994 | 70790800 |
| 2023-01-10 | 130.259995 | 131.259995 | 128.119995 | 130.729996 | 130.729996 | 63896200 |
| 2023-01-11 | 131.250000 | 133.509995 | 130.460007 | 133.490005 | 133.490005 | 69458900 |
| 2023-01-12 | 133.880005 | 134.259995 | 131.440002 | 133.410004 | 133.410004 | 71379600 |
| 2023-01-13 | 132.029999 | 134.919998 | 131.660004 | 134.759995 | 134.759995 | 57758000 |
7059 rows × 6 columns
googl=wb.DataReader('GOOGL',data_source='googl',start='1995-1-1')[*********************100%***********************] 1 of 1 completed
googl| Open | High | Low | Close | Adj Close | Volume | |
|---|---|---|---|---|---|---|
| Date | ||||||
| 2004-08-19 | 2.502503 | 2.604104 | 2.401401 | 2.511011 | 2.511011 | 893181924 |
| 2004-08-20 | 2.527778 | 2.729730 | 2.515015 | 2.710460 | 2.710460 | 456686856 |
| 2004-08-23 | 2.771522 | 2.839840 | 2.728979 | 2.737738 | 2.737738 | 365122512 |
| 2004-08-24 | 2.783784 | 2.792793 | 2.591842 | 2.624374 | 2.624374 | 304946748 |
| 2004-08-25 | 2.626627 | 2.702703 | 2.599600 | 2.652653 | 2.652653 | 183772044 |
| ... | ... | ... | ... | ... | ... | ... |
| 2023-01-09 | 88.360001 | 90.050003 | 87.860001 | 88.019997 | 88.019997 | 29003900 |
| 2023-01-10 | 85.980003 | 88.669998 | 85.830002 | 88.419998 | 88.419998 | 30467800 |
| 2023-01-11 | 89.180000 | 91.599998 | 89.010002 | 91.519997 | 91.519997 | 26862000 |
| 2023-01-12 | 91.480003 | 91.870003 | 89.750000 | 91.129997 | 91.129997 | 30258100 |
| 2023-01-13 | 90.849998 | 92.190002 | 90.129997 | 92.120003 | 92.120003 | 26309900 |
4634 rows × 6 columns
Note - The pandas_datareader library does not have a built-in function for retrieving options data. However, there are other libraries and APIs you can use to obtain options data, such as yfinance or alpha_vantage for Yahoo Finance and Alpha Vantage, iex for IEX Cloud API.
Check out following tutorial if you want to use yfinance
How To Use yfinance Package