Market prices trend forecasting supported by Elliott Wave's theory

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237667" target="_blank" >RIV/61989100:27240/17:10237667 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Market prices trend forecasting supported by Elliott Wave's theory

Original language description

The forecasting of the stock markets&apos; trends is one of the most frequently applied point of interests in machine learning (ML) industry from its beginning. The theory of Elliott waves&apos; (EW) patterns based on Fibonacci&apos;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&apos;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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

1st EAI International Conference on Computer Science and Engineering (COMPSE 2016) : conference proceedings : November 11 - 12, 2016, Penang, Malaysia

ISBN

978-1-63190-136-2

ISSN

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e-ISSN

neuvedeno

Number of pages

11

Pages from-to

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Publisher name

European Alliance for Innovation

Place of publication

Gent

Event location

Penang

Event date

Nov 11, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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