Options Trading, Call, Put, Monte Carlo, Tejapi Quant.
daily return stocks['daily return'] = np.log(stocks['close_d']) - np.log(stocks['close_d'].shift(1)) stocks['moving volatility'] = stocks['daily return'].rolling(252).std() Stock price prediction We utilize Monte Carlo simulation to simulate stock price paths. The concept of Monte Carlo simulation