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Designing an LSTM-Based Model for Financial Asset Forecasting Using Machine Learning Cover

Designing an LSTM-Based Model for Financial Asset Forecasting Using Machine Learning

Central European Economic Journal
Volume 13 (2026): Issue 60 (January 2026)
By: Najlae Yachou,  Omar Abahman and  Khalid Hakimi  
Open Access
|Feb 2026

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DOI: https://doi.org/10.2478/ceej-2026-0001 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
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Language: English
Page range: 1 - 23
Submitted on: Jun 17, 2025
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Accepted on: Nov 20, 2025
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Published on: Feb 2, 2026
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
financial forecasting,
LSTM,
financial markets,
Apple stock,
prediction accuracy
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Microeconomics,
Macroeconomics,
Economic policy

© 2026 Najlae Yachou, Omar Abahman, Khalid Hakimi, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 13 (2026): Issue 60 (January 2026)