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Gündüz et al., 2017 - Google Patents

Stock daily return prediction using expanded features and feature selection

Gündüz et al., 2017

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Document ID
3251001620399769016
Author
Gündüz H
Çataltepe Z
Yaslan Y
Publication year
Publication venue
Turkish Journal of Electrical Engineering and Computer Sciences

External Links

Snippet

Stock market prediction is a very noisy problem and the use of any additional information to increase accuracy is necessary. In this paper, for the stock daily return prediction problem, the set of features is expanded to include indicators not only for the stock to be predicted …
Continue reading at journals.tubitak.gov.tr (PDF) (other versions)

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