Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
technical_indicators_df = dataset_ex_df[['ema_20', 'ema_50', 'ema_100', 'rsi', 'macd', 'obv', 'Close']] # Merge DF merged_df = pd.concat([arima_df, fft_df_real, fft_df_imag, technical_indicators_df], axis=1) merged_df = merged_df.dropna() merged_df Splitting data into train and test (80:20): #