The Application of SVMs Method on Exchange Rates Fluctuation

Joint Authors

Zhang, Zuoquan
Zhao, Qin

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-02-08

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

Technical indicators are very important tools in the analysis of securities investment.

In this paper, considering several main technical indicators prevailed in China security market, we predict whether the price of a stock rises or falls with the support vector machines (SVMs).

We represent the technical indicators of current four days as input vector.

If the price of next day rises, we say that the vector belongs to opposite set, if it falls, we say it belongs to negative set.

Studying the samples, the SVMs construct a classification model.

Then, based on the data of today and three days before, the SVMs give a prediction of tomorrow price.

The experiment shows that the predicting accuracy is all greater than 60%.

American Psychological Association (APA)

Zhang, Zuoquan& Zhao, Qin. 2010. The Application of SVMs Method on Exchange Rates Fluctuation. Discrete Dynamics in Nature and Society،Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-457361

Modern Language Association (MLA)

Zhang, Zuoquan& Zhao, Qin. The Application of SVMs Method on Exchange Rates Fluctuation. Discrete Dynamics in Nature and Society No. 2009 (2009), pp.1-8.
https://search.emarefa.net/detail/BIM-457361

American Medical Association (AMA)

Zhang, Zuoquan& Zhao, Qin. The Application of SVMs Method on Exchange Rates Fluctuation. Discrete Dynamics in Nature and Society. 2010. Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-457361

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-457361