Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation.
- DOI
- 10.1177/00368504241275370
- Published
- 2024 Jul-Sep
- Container
- Science progress
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/00368504241275370,
title = {Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation.},
author = {Nguyen PD and Thao NN and Kim Chi DT and Nguyen HC and Mach BN and Nguyen TQ},
year = {2024},
journal = {Science progress},
doi = {10.1177/00368504241275370},
url = {https://doi.org/10.1177/00368504241275370}
}RIS
TY - JOUR TI - Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation. AU - Nguyen PD AU - Thao NN AU - Kim Chi DT AU - Nguyen HC AU - Mach BN AU - Nguyen TQ PY - 2024 JO - Science progress DO - 10.1177/00368504241275370 UR - https://doi.org/10.1177/00368504241275370 ER -
APA
PD, N., NN, T., DT, K. C., HC, N., BN, M., & TQ, N. (2024). Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation.. Science progress. https://doi.org/10.1177/00368504241275370
Source records
- pubmed · retrieved 2026-09-26T07:27:28.440Z