Using Yahoo Finance Data in python , pandas and matplotlib ( Documentation Source: https://lnkd.in/gXnTCP3 )
1> create CSV data https://github.com/naashonomics/stockswithpython/blob/master/convert_yahoo_finnace_data_to_csv_with_pandas.ipynb
2> Plot charts https://github.com/naashonomics/stockswithpython/blob/master/csv_to_chart_plotter.ipynb
3> Compute MA(100) using Rolling concepts in pandas https://github.com/naashonomics/stockswithpython/blob/master/m100_compute.ipynb
4> OHLC (Open high low close) https://github.com/naashonomics/stockswithpython/blob/master/ohlc.ipynb
5> Parse sp 500 list using bs4 https://github.com/naashonomics/stockswithpython/blob/master/parsesp500list.ipynb
6> Pre compute Missing CSV data files for SP500 entries https://github.com/naashonomics/stockswithpython/blob/master/prepopulatemissing500csvdata.ipynb
7> Combine sp500 data https://github.com/naashonomics/stockswithpython/blob/master/combinesp500data.ipynb
8> Corelation Table
9> Pre Process Data for ML
10> Create Target for ML
11>ML against SP500 prices