Novel way to predict stock movements using multiple models and comprehensive analysis: leveraging voting meta-ensemble techniques

The research introduces a method for anticipating stock market patterns by combining machine learning techniques with analysis methods. Multiple machine learning algorithms were integrated to address the limitations of stock market forecasting models. Using web scraping techniques, data were gather...

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Hlavní autoři:	Akila Dabara Kayit, Mohd Ismail Tahir
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nigerian Society of Physical Sciences 2024-07-01
Edice:	Journal of Nigerian Society of Physical Sciences
Témata:	Stock prediction Machine learning Voting Meta-ensemble Predictive modeling
On-line přístup:	https://www.journal.nsps.org.ng/index.php/jnsps/article/view/2039
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