The stock price index may be prepared through the calculation of trading price of sampled stock and thus reversely, the ups and downs of stock price index may be used for analysis on and investment into individual stock. In this paper, the hypothesis is made as the daily opening index, maximum index, minimum index, closing index, trading volume and turnover of stock price index is related to its opening index of next day. Based on such hypothesis, the daily opening index is forecasted by virtue of regression algorithm of vector machine. The experiments show that there is higher correlation line between the real opening index and the forecasted one, while for certain opening index, there are still errors between the real one and the forecasted one.
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