Research Article

Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction

Table 1

Snapshots of daily stock market indices used as multiple financial time-series data.

DateShanghaiJapanSingaporeIndonesia
ActualNormActualNormActualNormActualNorm

02/01/2020252.350.808523204.861.02218.490.98016283.581.1971
03/01/2020258.360.827823575.721.03848.300.95806323.461.2047
06/01/2020260.300.834023204.761.02218.250.95246257.401.1921
07/01/2020261.460.837723739.871.04578.310.95916279.341.1963
08/01/2020259.910.832823850.571.05058.220.94916225.681.1861
09/01/2020266.310.853324025.171.05828.430.97356274.491.1954
10/01/2020266.500.853923916.581.05358.420.97236274.941.1955
13/01/2020271.540.870023933.131.05428.360.96576296.561.1996
14/01/2020269.020.861924041.261.05898.360.96576325.401.2051
15/01/2020271.150.868824083.511.06088.350.96466283.361.1971