Stock Market, Time Series Analysis, Time Series Forecasting, Python, Monte Carlo.
print(f"Extracted {len(dfprices)} days worth of data for {len(symbols)} counters with {dfprices.isnull().sum().sum()} missing data") return dfprices After which , another function converts the prices into Log Returns def calc_returns(dfprices,symbols): dfreturns=pd.DataFrame() columns =