Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review

Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review

Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine learning and statistical approaches in this context. Unfortunately, several of the...

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Bibliographic Details
Main Authors: Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2025-01-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
concept drift
finance
machine learning
metamodel
regime change
systematic review
Online Access:https://www.ijimai.org/journal/bibcite/reference/3331
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