Author(s)

ZhuoHan Liu, YuHan Li, MingLei Han, YuXin Li, KaiYue Wu

Corresponding Author

MingLei Han

ABSTRACT

Under the background of economic and financial globalization, the economic and financial risks faced by countries will continue to intensify, resulting in more violent and changeable foreign exchange fluctuations. The financial market is easily influenced by information, and the Internet, with its real-time, richness and coverage, has gradually replaced the traditional media as the main channel for people to obtain information. How to deal with financial data quickly and effectively has become a hot issue that people urgently need to pay attention to. Therefore, this paper studies the financial data processing method based on SVM, and uses certain data mining methods. In the experiment, we use SVM to mine the financial information on the Internet and the fluctuation of the financial market to find out the quantitative nonlinear relationship between them, thus providing some help for the prediction of the financial market. Using a certain data mining method, we use SVM in the experiment to mine the fluctuation of financial information and financial market on the Internet to find out the nonlinear relationship between them, thus providing some help to the prediction of financial market.

KEYWORDS

SVM, Financial data, Processing method