Analyzing the critical steps in deep learning-based stock forecasting: a literature review

Zinnet Duygu Akşehir, Erdal Kılıç

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DOI: 10.7717/peerj-cs.2312
Published: 2024-09-23
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.2312,
  title = {Analyzing the critical steps in deep learning-based stock forecasting: a literature review},
  author = {Zinnet Duygu Akşehir and Erdal Kılıç},
  year = {2024},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.2312},
  url = {https://doi.org/10.7717/peerj-cs.2312}
}

RIS

TY  - JOUR
TI  - Analyzing the critical steps in deep learning-based stock forecasting: a literature review
AU  - Zinnet Duygu Akşehir
AU  - Erdal Kılıç
PY  - 2024
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.2312
UR  - https://doi.org/10.7717/peerj-cs.2312
ER  -

APA

Akşehir, Z. D., & Kılıç, E. (2024). Analyzing the critical steps in deep learning-based stock forecasting: a literature review. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.2312

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crossref · retrieved 2026-09-25T00:55:42.501Z