Application of least squares support vector machine in futures price forecasting

Futures price forecasting based on least squares support vector machine is presented in the paper. In order to improve the prediction performance of least squares support vector machine, the experimental data can be normalized and appropriate parameters are selected by genetic algorithm. Least squares support vector machine is used to create the prediction model for futures price, and BP neural network is used to compare with least squares support vector machine. The experimental data of futures price are given. The prediction error of futures price by least squares support vector machine and BP neural network respectively are obtained. The analysis results show that futures price forecasting based on least squares support vector machine has excellent prediction results of futures price.