Deep Learning, Stock Prediction, Python, Financial Analysis, Programming.
/ data['Close'] # Drop NaN values generated by moving averages and RSI data.dropna(inplace=True) return data # Apply feature engineering to all stocks for symbol in stocks_data: stocks_data[symbol] = calculate_features(stocks_data[symbol]) 4. Building the Deep Learning Model With our features