Here is some of the recent projects I am currently working on.
Beta&HistoricalReturns.py takes a stock inputted by the user and can calculate the beta or show the value of $10,000 invested in this stock based on the period inputted.
ReturnsvsRiskRegression.py takes data from the stocks of the S&P 100 and runs a regression based on the expected return of each stock and the standard deviation
S&p500Sim.py calculates the historic returns and standard deviation of the weekly changes in the S&P 500 and then runs many simulations so show some possible directions the S&P 500 can go to. This assumes the returns are normally distributed.