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Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Mathematics
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format Online Article
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genre Journal Article
id rss_article:62727
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
last_indexed 2026-06-20T21:27:34.457Z
publishDate 2026
publishDateSort 2026
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spellingShingle Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_alt Revelando la estacionalidad compleja en la predicción del precio de acciones mediante un enfoque híbrido de aprendizaje automático ajustado estacionalmente
Dévoilement de la saisonnalité complexe dans la prévision des cours boursiers à l'aide d'une approche hybride d'apprentissage automatique ajustée saisonnièrement
Revelando Sazonalidade Complexa na Previsão de Preços de Ações Usando uma Abordagem Híbrida de Aprendizado de Máquina com Ajuste Sazonal
title_auth Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_es_txt Revelando la estacionalidad compleja en la predicción del precio de acciones mediante un enfoque híbrido de aprendizaje automático ajustado estacionalmente
title_fr_txt Dévoilement de la saisonnalité complexe dans la prévision des cours boursiers à l'aide d'une approche hybride d'apprentissage automatique ajustée saisonnièrement
title_full Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_fullStr Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_full_unstemmed Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_pt_txt Revelando Sazonalidade Complexa na Previsão de Preços de Ações Usando uma Abordagem Híbrida de Aprendizado de Máquina com Ajuste Sazonal
title_short Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_sort unveiling complex seasonality in stock price forecasting using a seasonal-adjusted hybrid machine learning approach
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/acisc/2026/1373188/