Plotting cumulative Returns

Sure, I can help you with that. Here's a simple way to plot line charts using the pandas library in Python. This example assumes that you have a pandas DataFrame history with historical price data.

First, you need to calculate the cumulative returns. You can do this using the pct_change() and cumprod() methods in pandas. Here's an example:

returns = history['close'].pct_change().dropna()
cumulative_returns = (1 + returns).cumprod()

Then, you can plot the cumulative returns using the plot() method:

cumulative_returns.plot(title="Cumulative Returns", figsize=(15, 10))

Finally, you can display the plot using plt.show():

plt.show()

This will create a line plot of the cumulative returns for your asset. You can repeat this process for each series of events you want to plot.

Please note that this is a simplified example and you might need to adjust the code to fit your specific needs. For example, you might need to filter your historical data to only include the 60 minutes following each event.

For more information on how to work with data and plot charts in the QuantConnect Research environment, you can refer to the QuantConnect documentation.

I hope this helps! Let me know if you have any other questions.