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ELM-GA-ERWCA: A Tailored Forex Exchange Trading Model Combining Extreme Learning Machine with Genetic Algorithm and Evaporation Based Water Cycle Algorithm

Crossref DOI link: https://doi.org/10.1007/s44196-025-01048-3

Published Online: 2025-11-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Das, Smruti Rekha

Mohanty, Arup Kumar

Mishra, Debahuti

Panda, Jibitesh Kumar
Funding

Funding for this research was provided by:

Manipal Academy of Higher Education, Manipal
License Information

Text and Data Mining valid from 2025-11-17

Version of Record valid from 2025-11-17
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Article History

Received: 28 July 2025

Revised: 14 October 2025

Accepted: 21 October 2025

First Online: 17 November 2025

Declarations

:

: The authors declare that they have no competing interests.

: This study did not require ethics approval or participant consent.

: Consent for publication was not required.

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