Data Mining Application In Stock Analysis

As the development of securities industry, now we produce mass data every day. But most of the securities companies are only pay attention to the development of business expansion, but not attach importance to it. Now the industry has close to capacity, competition is intense; Securities companies also gradually the focus from attracting new customers to maintaining existing customers. In order to provide higher better service, expand volume and improve performance. Investment advisory services began to develop fatly. The purpose is to provide high quality securities investment service. The stock market subject to political, economic and investor psychology and so on many kinds of complex factors influence. Although it is complex, but if we analysis the mass data deeply, we can still get the rule model what we want. The data mining technology is able to realize useful information from mass data mining with emerging technology. In those financial developed area, such as America and Europe. Data mining has been widely used in building investment model. They use data mining technology to establish an effective investment models, from all kinds of trading in the data, and concludes that the effective investment information, its offer to the customer as the reference, so as to improve the service quality.This paper elaborates the analysis of the data mining, and to generate about strategy stock selection, portfolio risk assessment and stock movements of useful information through MATLAB. According to the information, investors make their own investment decisions, increase the investment return rate.