[Retracted] Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning

Algorithm 1

Framework of the gold price prediction.

	Input: the gold price at multiple times, parameters of the SVM and LSTM; output: the gold price at a test time.
(1)	Project the gold price at different times onto the quotient space.
(2)	Determine an SVM classifier from the training samples, and use it for gold price prediction at a test time.
(3)	Determine LSTM from the training samples, and then leverage it for predicting gold price at a test time.
(4)	Combine the predicted results from SVM and LSTM to obtain the final results.