ANALYSIS OF ELLIOTT WAVE THEORY ON TIME-SERIES DATA FROM FOREX
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Date
2023
Authors
Zhalgasbek, Ayaz
Journal Title
Journal ISSN
Volume Title
Publisher
School of Sciences and Humanities
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
Description
Keywords
Type of access: Restricted, Elliott wave theory
Citation
Zhalgasbek, Aю (2023). Analysis of Elliott Wave theory on time-series data from Forex. School of Sciences and Humanities