Measuring the quality and efficiency of AI-generated codes for financial markets prediction with LSTM

Meryem Gharmili, Youssef Aatif, Alj Abdelkamel

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DOI: 10.3389/frai.2026.1861067
Published: 2026-07-16
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1861067,
  title = {Measuring the quality and efficiency of AI-generated codes for financial markets prediction with LSTM},
  author = {Meryem Gharmili and Youssef Aatif and Alj Abdelkamel},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1861067},
  url = {https://doi.org/10.3389/frai.2026.1861067}
}

RIS

TY  - JOUR
TI  - Measuring the quality and efficiency of AI-generated codes for financial markets prediction with LSTM
AU  - Meryem Gharmili
AU  - Youssef Aatif
AU  - Alj Abdelkamel
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1861067
UR  - https://doi.org/10.3389/frai.2026.1861067
ER  -

APA

Gharmili, M., Aatif, Y., & Abdelkamel, A. (2026). Measuring the quality and efficiency of AI-generated codes for financial markets prediction with LSTM. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1861067

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crossref · retrieved 2026-11-10T12:14:01.836Z