This paper uses the wavelet kernel support vector machine regression( W-SVR) to predict the futures price since the factors affecting the futures price are various and nonlinear. Such index data of the futures from the Shanghai Futures Exchange are selected as the opening price,highest and lowest prices,closing price,volume,turnover and inventories to predict the futures prices in the support of using nuclear alignment techniques to calculate and optimize self-defined parameters and practicing and verifying...
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