Python, Technology, Stock Market, Data Science, Machine Learning.
np.sqrt(252) stock_data = pd.DataFrame({'Returns': annualized_returns, 'Volatility': annualized_volatility}) stock_data.dropna(inplace=True) # Drop rows with missing values return stock_data In this method, we calculate the daily returns by applying the pct_change function to the data. We then drop