Introduction
In this project, I will be using pandas to analyze and compare the profitability and risk of different investments. I will be using stock data for Facebook and Amazon for the year 2016 and I will be also using the stock data for the S&P 500.
Importing Modules and Data
I imported all of the modules required for visualizations and data manipulation.
When I read the CSV files, I wanted the date columns to be datetime64 and the index is set as the date for accurate analysis.
I also dropped any missing values from the dataset.
Glancing Over The Data
As we can see, there are 252 observations and 2 columns.
Most of the datatypes are floats.
Visualizing Daily Prices For Amazon/Facebook Stock and S&P 500
We can see that Amazon's stock reached a maximum price of $844 while Facebook's stock reached a maximum of only $133.
Visualizing Daily Stock Returns For Facebook and Amazon/S&P 500
Amazon's max stock return has been 9.5% while Facebook's has been 15%.
The S&P 500's max stock return has been 2.5%.
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