Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection

Aya Nabil, Sherif Barakat, Ahmed Aboelfetouh, Sara Elhishi

Open source

DOI
10.1038/s41598-026-67696-3
Published
2026-09-02
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-67696-3,
  title = {Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection},
  author = {Aya Nabil and Sherif Barakat and Ahmed Aboelfetouh and Sara Elhishi},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-67696-3},
  url = {https://doi.org/10.1038/s41598-026-67696-3}
}

RIS

TY  - JOUR
TI  - Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection
AU  - Aya Nabil
AU  - Sherif Barakat
AU  - Ahmed Aboelfetouh
AU  - Sara Elhishi
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-67696-3
UR  - https://doi.org/10.1038/s41598-026-67696-3
ER  - 

APA

Nabil, A., Barakat, S., Aboelfetouh, A., & Elhishi, S. (2026). Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection. Scientific Reports. https://doi.org/10.1038/s41598-026-67696-3

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