Machine Learning, Deep Learning, Trading, Finance, Stock Market.
volatility.append(np.std(window)) The plot of these “monthly volatilities” for our GOOGL stock will look like this: GOOGL returns voaltility And let’s check, how we can forecast this quantity! Volatility forecasting The data preparation process can look like: for i in range(0, len(data_original),