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Revista de Engenharia e Pesquisa Aplicada
Article . 2021 . Peer-reviewed
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Aplicação de Mineração de Dados para Avaliação de Indicadores Financeiros

Authors: Guilherme Teixeira Ribeiro de Albuquerque; Diogo Tavares Cavalcanti de Moraes; Gabriela De Vasconcelos; Kelly Bezerra da Mota; Leonardo Leon Dias;

Aplicação de Mineração de Dados para Avaliação de Indicadores Financeiros

Abstract

A identificação de tendências de modificação nos valores de ativos do mercado financeiro é uma forma eficaz de auxiliar a tomada de decisão e de melhorar o desempenho de investidores. Essa tarefa é bastante complexa até mesmo para profissionais e pesquisadores experientes, para enfrentar esse desafio, normalmente busca-se amparo em informações obtidas através da análise de indicadores técnicos e fundamentalistas. Dito isso, este trabalho buscou avaliar o desempenho de diferentes indicadores técnicos aplicados, individualmente ou em conjunto, a diferentes séries históricas de abertura e fechamento de mercado avaliando-os de modo a identificar aqueles que forneceram os melhores resultados de forma direta ou categorizada, sendo esta categorização feita por período, setor da atuação da empresa ou observando outras características compartilhadas advindas de análise fundamentalista. Por fim, foi possível obter bons insights capazes de contribuir para a identificação de indicadores técnicos que melhor se aplicam a cada grupo de ativos analisados.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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hybrid
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