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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 Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16750
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
title_auth Unveiling Complex Seasonality in Stock Price Forecasting Using a Seasonal-Adjusted Hybrid Machine Learning Approach
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_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
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.hindawi.com/journals/acisc/2026/1373188/