Exercise

Plot returns

Lastly, we'll plot the performance of our machine-learning-generated portfolio versus just holding the SPY. We can use this as an evaluation to see if our predictions are doing well or not.

Since we already have algo_cash and spy_cash created, all we need to do is provide them to plt.plot() to display. We'll also set the label for the datasets with legend in plt.plot().

Instructions

100 XP

Use plt.plot() to plot the algo_cash (with label 'algo') and spy_cash (with label 'SPY').
Use plt.legend() to display the legend.

Take Hint (-30 XP)