Generating future price movements of different stocks and their return distributions.
-> yfinance is used to import stock prices
-> The σ and μ Log Change of the stock price is captured using numpy
-> A t-distribution is used to account for fat tails in financial markets using scipy and statsmodels
-> Price paths are drawn using log changes grabbed from the t-distribution with df = 5
-> Returns of each path are plotted to infer an expected value of longing the stock
-> Visual plots are generated using seaborn and matplotlib methods