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Using support vector machine in FoRex predicting

Thu T.N.T. ThuongMai University, Hanoi, Viet Nam|
Xuan V.D. SonLa Gifted High School, Sonla, Viet Nam|

2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018 Số , năm 2018 (Tập , trang 1-5)

ISSN: 137077

ISSN: 137077

DOI: 10.1109/ICIRD.2018.8376303

Tài liệu thuộc danh mục: Scopus

IEEE Int. Conf. Innov. Res. Dev., ICIRD

English

Từ khóa: Artificial intelligence; Commerce; Electronic trading; Forecasting; Learning systems; Supervised learning; Vectors; Currency rates; Exchange markets; Exchange rates; Machine learning techniques; Supervised machine learning; Transaction systems; Support vector machines
Tóm tắt tiếng anh
The trend of currency rates can be predicted with supporting from supervised machine learning in the transaction systems such as support vector machine. Not only representing models in use of machine learning techniques in learning, the support vector machine (SVM) model also is implemented with actual FoRex transactions. This might help automatically to make the transaction decisions of Bid/Ask in Foreign Exchange Market by using Expert Advisor (Robotics). The experimental results show the advantages of use SVM compared to the transactions without use SVM ones. � 2018 IEEE.

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