The article expects to solve the traditional econometric statistical model, shallow machine learning algorithm, and many limitations in nonlinear relationship of related indicators affecting commodity futures price trend. This proposes a neural network prediction model by mixture convolutional networks (CNN) gated recurrent unit (GRU). Firstly, dimension reduction algorithm multidimensional dat...
