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GitHub Project - TSLA Data Analysis & supervised regression


Nota : Please click on the Github image above in order to be redirected to the project.


Overview

In the supervised regression framework used for this data analysis case, the weekly return of TSLA stock is the predicted variable.

We will try to understand what affects TSLA stock price and incorporate as much information into the model. We will focus on correlated assets as features.

For this case study, other than the historical data of TSLA, the independent variables used

are the following correlated assets:

  • Stocks : GM and Ford

  • Currency : USD/JPY and GBP/ USD

  • US Indices and VIX


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