Multi-sequential Neural Network Models for Stock Price Forecasting

Authors

Jobish Vallikavungal (ORCID: https://orcid.org/0000-0003-4238-5829)
Nevin Selby
Rhett T. George
Aditya Taparia (ORCID: https://orcid.org/0009-0004-4603-0085)
Sheba Elizabeth Thomas (ORCID: https://orcid.org/0000-0002-0854-7102)

Institutions

Indian Institute of Information Technology Allahabad (IN)
Tecnológico de Monterrey (MX)

Publication Details

Journal: Journal of Computational and Cognitive Engineering
Published: 2025-08-29
DOI: https://doi.org/10.47852/bonviewjcce52025731
Primary Topic: Stock Market Forecasting Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

Multi-sequential Neural Network Models for Stock Price Forecasting

Jobish Vallikavungal, Nevin Selby, Rhett T. George, Aditya Taparia et al.

Aug 29, 2025

Journal of Computational and Cognitive Engineering

Stock Market Forecasting Methods

article

Multi-sequential Neural Network Models for Stock Price Forecasting

Jobish Vallikavungal, Nevin Selby, Rhett T. George, Aditya Taparia, Sheba Elizabeth Thomas

August 29, 2025article en

Abstract

No abstract available for this paper.

Journal of Computational and Cognitive Engineering

Indian Institute of Information Technology Allahabad (IN), Tecnológico de Monterrey (MX)

Openalex Percentile: Top 73%

Stock Market Forecasting Methods

DOI Open Access PDF OpenAlex

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Multi-sequential Neural Network Models for Stock Price Forecasting — Jobish Vallikavungal, Nevin Selby, et al. · Journal of Computational and Cognitive Engineering (2025) | TGRS Research Map | TGRS