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Market prices trend forecasting supported by Elliott Wave's theory

The forecasting of the stock markets' trends is one of the most frequently applied point of interests in machine learning (ML) industry from its beginning. The theory of Elliott waves' (EW) patterns based on Fibonacci's ratios is also heavily applied in several trading strategies and...

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Main Authors: Vantuch, T., Zelinka, I., Vasant, P.
Format: Article
Published: EAI 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032360090&partnerID=40&md5=b286c7a0f4cbe494f6ab140cf24e5cfd
http://eprints.utp.edu.my/20126/
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spelling my.utp.eprints.201262018-04-22T14:42:00Z Market prices trend forecasting supported by Elliott Wave's theory Vantuch, T. Zelinka, I. Vasant, P. The forecasting of the stock markets' trends is one of the most frequently applied point of interests in machine learning (ML) industry from its beginning. The theory of Elliott waves' (EW) patterns based on Fibonacci's ratios is also heavily applied in several trading strategies and tools which are available on the market and also there are many studies based on analysis and application of those patterns. This paper covers market's trend prediction by ML algorithms such as Random Forest and Support Vector Machine. The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. The combination of ML algorithms and EW pattern detector achieved significantly higher performance compare to the ML algorithms only. EAI 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032360090&partnerID=40&md5=b286c7a0f4cbe494f6ab140cf24e5cfd Vantuch, T. and Zelinka, I. and Vasant, P. (2017) Market prices trend forecasting supported by Elliott Wave's theory. COMPSE 2016 - 1st EAI International Conference on Computer Science and Engineering . http://eprints.utp.edu.my/20126/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The forecasting of the stock markets' trends is one of the most frequently applied point of interests in machine learning (ML) industry from its beginning. The theory of Elliott waves' (EW) patterns based on Fibonacci's ratios is also heavily applied in several trading strategies and tools which are available on the market and also there are many studies based on analysis and application of those patterns. This paper covers market's trend prediction by ML algorithms such as Random Forest and Support Vector Machine. The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. The combination of ML algorithms and EW pattern detector achieved significantly higher performance compare to the ML algorithms only.
format Article
author Vantuch, T.
Zelinka, I.
Vasant, P.
spellingShingle Vantuch, T.
Zelinka, I.
Vasant, P.
Market prices trend forecasting supported by Elliott Wave's theory
author_facet Vantuch, T.
Zelinka, I.
Vasant, P.
author_sort Vantuch, T.
title Market prices trend forecasting supported by Elliott Wave's theory
title_short Market prices trend forecasting supported by Elliott Wave's theory
title_full Market prices trend forecasting supported by Elliott Wave's theory
title_fullStr Market prices trend forecasting supported by Elliott Wave's theory
title_full_unstemmed Market prices trend forecasting supported by Elliott Wave's theory
title_sort market prices trend forecasting supported by elliott wave's theory
publisher EAI
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032360090&partnerID=40&md5=b286c7a0f4cbe494f6ab140cf24e5cfd
http://eprints.utp.edu.my/20126/
_version_ 1738656167337394176
score 13.211869

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