Elliott Wave Theory and neuro-fuzzy systems, in stock market prediction: The WASP system

Autor:	Emmanouil Dimitrakakis, Constantinos Zopounidis, George S. Atsalakis
Rok vydání:	2011
Předmět:	Stock market prediction Adaptive neuro fuzzy inference system Neuro-fuzzy Operations research Artificial Intelligence Computer science Technical analysis General Engineering Econometrics Stock (geology) Computer Science Applications
Zdroj:	Expert Systems with Applications. 38:9196-9206
ISSN:	0957-4174
DOI:	10.1016/j.eswa.2011.01.068
Popis:	This paper presents the WASP (Wave Analysis Stock Prediction) system, a system based on the neuro-fuzzy architecture, which utilizes aspects from the Elliott Wave Theory, presented by Ralph Nelson Elliott. This theory has been found to be extremely useful and accurate, particularly in problems of forecasting. A neuro-fuzzy logic technique has been used to forecast the trend of the stock prices and the results derived are very encouraging.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6a0f8a785f5deeb14c6bea5e06a8e860 https://doi.org/10.1016/j.eswa.2011.01.068 Zobrazit plný text záznamu Full Text from ScienceDirect