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ANALYSIS OF ELLIOTT WAVE THEORY ON TIME-SERIES DATA FROM FOREX

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dc.contributor.author Zhalgasbek, Ayaz
dc.date.accessioned 2023-06-16T09:10:12Z
dc.date.available 2023-06-16T09:10:12Z
dc.date.issued 2023
dc.identifier.citation Zhalgasbek, Aю (2023). Analysis of Elliott Wave theory on time-series data from Forex. School of Sciences and Humanities en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/7226
dc.description.abstract This capstone project analyzes the application of the Elliott wave theory on time-series data from the Forex market. The project uses patternbased probabilistic models to test the validity of the Elliott wave theory and to evaluate its predictive power. The results of our analysis indicate that the pattern-based probabilistic models do not completely support the Elliott wave theory. Specifically, we found that the patterns identified by the Elliott wave theory did not have statistically significant predictive power for daily exchange rates of currencies. This study encourages further research on this topic with different criteria and larger data sets en_US
dc.language.iso en en_US
dc.publisher School of Sciences and Humanities en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Restricted en_US
dc.subject Elliott wave theory en_US
dc.title ANALYSIS OF ELLIOTT WAVE THEORY ON TIME-SERIES DATA FROM FOREX en_US
dc.type Master's thesis en_US
workflow.import.source science


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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States