How to balance financial returns with metalearning for trend prediction (2024)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; BANDEIRA, ÁLVARO VALENTIM PEREIRA DE MENEZES - ICMC ; FERRACIOLI, GABRIEL MONTEIRO - ICMC ; SANTOS, MOISÉS ROCHA DOS - ICMC
- Unidade: ICMC
- DOI: 10.5753/jidm.2024.3371
- Subjects: APRENDIZADO COMPUTACIONAL; ALGORITMOS ÚTEIS E ESPECÍFICOS; PREÇOS
- Keywords: market movement; metalearning; stock market
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Porto Alegre
- Date published: 2024
- Source:
- Título do periódico: Journal of Information and Data Management - JIDM
- ISSN: 2178-7107
- Volume/Número/Paginação/Ano: v. 15, n. 1, p. 142-151, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BANDEIRA, Alvaro Valentim Pereira de Menezes et al. How to balance financial returns with metalearning for trend prediction. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 142-151, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3371. Acesso em: 24 maio 2024. -
APA
Bandeira, A. V. P. de M., Ferracioli, G. M., Santos, M. R. dos, & Carvalho, A. C. P. de L. F. de. (2024). How to balance financial returns with metalearning for trend prediction. Journal of Information and Data Management - JIDM, 15( 1), 142-151. doi:10.5753/jidm.2024.3371 -
NLM
Bandeira AVP de M, Ferracioli GM, Santos MR dos, Carvalho ACP de LF de. How to balance financial returns with metalearning for trend prediction [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 142-151.[citado 2024 maio 24 ] Available from: https://doi.org/10.5753/jidm.2024.3371 -
Vancouver
Bandeira AVP de M, Ferracioli GM, Santos MR dos, Carvalho ACP de LF de. How to balance financial returns with metalearning for trend prediction [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 142-151.[citado 2024 maio 24 ] Available from: https://doi.org/10.5753/jidm.2024.3371 - Market movement prediction algorithm selection by metalearning
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Informações sobre o DOI: 10.5753/jidm.2024.3371 (Fonte: oaDOI API)
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