Python, Monte Carlo Simulation, Trading, Probability, Investment.
generate results that will give us an insight into the situation. code : df = pd.DataFrame() for i in range(500): investment = 10000 expected_returns = 0.06 volatility = 0.14 duration = 20 sip = 10000 lst = [] # print(' \t Returns', '\t\tEnding Value'.rjust(18)) for year in range(duration): #