import Wind import MeanReversion import SZ import JQData from datetime import datetime if __name__ == '__main__': SZ.sz() a = Wind.data_to_csv_wande(Wind.data_gether_wande(90), 3) b = Wind.data_to_csv_wande(Wind.data_gether_wande(30), 1) c = Wind.data_to_csv_wande(Wind.data_gether_wande(60), 2) try: d = MeanReversion.select( 'Data/Stock_Data/Wande_Data_' + str(3) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') e = MeanReversion.select( 'Data/Stock_Data/Wande_Data_' + str(1) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') f = MeanReversion.select( 'Data/Stock_Data/Wande_Data_' + str(2) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') except: d = MeanReversion.select( 'Data/Stock_Data/Wande_Data_' + str(3) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') e = MeanReversion.select( 'Data/Stock_Data/Wande_Data_' + str(1) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') try: g = MeanReversion.combine('Data/Stock_Data/Good_' + str(3) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv', 'Data/Stock_Data/Good_' + str(2) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv', 'Data/Stock_Data/Good_' + str(1) + 'Y_' + datetime.now().strftime("%Y%m%d") + '.csv') except: