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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