In this tutorial we will learn how to estimate the Fama French Carhart four-factor risk model exposures for an arbitrary stock using live data in Python. We will cover the process and common pitfalls of pulling in live data from the Fama-French risk factor database and from Yahoo Finance, and running a factor sensitivity estimation using linear regression.
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Risk model details: https://en.wikipedia.org/wiki/Carhart_four-factor_model
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Python packages used
Pandas: https://pandas.pydata.org/
Pandas Datareader: https://pandas-datareader.readthedocs.io/en/latest/
YFinance: https://aroussi.com/post/python-yahoo-finance
Matplotlib: https://matplotlib.org/
Statsmodels: https://www.statsmodels.org/stable/index.html