In this project, we'll analyse data from italian stock market for bank stocks.
Again, we'll use Pandas to extract and analyse the information, visualise it, and look at different ways to analyse the risk of a stock, based on its performance history.
Here are the questions we'll try to answer:
What was the change in a stock's price over time? What was the daily return average of a stock? What was the moving average of various stocks? What was the correlation between daily returns of different stocks? How much value do we put at risk by investing in a particular stock? How can we attempt to predict future stock behaviour?