A Quantitative Investment System Based On Text Mining

Quantitative Investment uses Modern Computer Technology, and a specific Mathe-matical model, to achieve the process with particular Investment philosophy and strate-gy. The Principle of Quantitative Investment is very different from any other Analysis Method, such as the fundamental analysis and Technical Analysis, which use to diag-nose the market. Armed with Historical data, Mathematical model, Investment experie-nce and an advanced computer power, a maximum possible prediction of Investment opportunities is given.With the rapid development of the Internet and Web technologies," Specialized Information "occupies a more and more territory of Internet day by day. In the fina-ncial sector, tons of variety of financial information is published by Web pages every millisecond. Thanks to Text Mining, a surgical acquisition of needed information and data through vast Internet Ocean, is no longer a dream, finally the original appearance of the Internet is reverted.This paper combines Philosophy of Quantitative Investment and Technology of Text Mining, accompany with Distributed deployment, Multi-threaded parallel and Web crawler crawling Technology in Computer Science, forged by them, A flexible Web information mining platform is constructed. With the help of the Web information mi-ning platform, financial information in the Internet is obtained initiatively, acquire the target Web information. It uses a web information analysis method to build a compre-hensive coverage, accurately acquiring Mechanism. Such that a Quantitative investment trading system Base on the above data, will be raise, to guild the exchange order.By Studying the Text Mining and Quantitative Investment, this paper gives a use-ful discussion on how to use the computer technology, combined with text mining methods to achieve quantitative investment, and design a quantitative investment tradi-ng system.