A machine learning approach for trading in financial markets using dynamic threshold breakout labeling
Crossref DOI link: https://doi.org/10.1007/s11227-024-06403-3
Published Online: 2024-08-07
Published Print: 2024-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Saberi, Erfan
Pirgazi, Jamshid
Ghanbari sorkhi, Ali
Text and Data Mining valid from 2024-08-07
Version of Record valid from 2024-08-07
Article History
Accepted: 30 July 2024
First Online: 7 August 2024
Declarations
:
: The authors declare no competing interests.