{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:22:52Z","timestamp":1772252572491,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T00:00:00Z","timestamp":1666656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Portuguese Foundation for Science and Technology","award":["UIDB\/05064\/2020"],"award-info":[{"award-number":["UIDB\/05064\/2020"]}]},{"name":"Portuguese Foundation for Science and Technology","award":["UIDB\/04111\/2020"],"award-info":[{"award-number":["UIDB\/04111\/2020"]}]},{"name":"Portuguese Foundation for Science and Technology","award":["COFAC\/ILIND\/COPELABS\/3\/2020"],"award-info":[{"award-number":["COFAC\/ILIND\/COPELABS\/3\/2020"]}]},{"name":"Lusophone Institute of Investigation and Development","award":["UIDB\/05064\/2020"],"award-info":[{"award-number":["UIDB\/05064\/2020"]}]},{"name":"Lusophone Institute of Investigation and Development","award":["UIDB\/04111\/2020"],"award-info":[{"award-number":["UIDB\/04111\/2020"]}]},{"name":"Lusophone Institute of Investigation and Development","award":["COFAC\/ILIND\/COPELABS\/3\/2020"],"award-info":[{"award-number":["COFAC\/ILIND\/COPELABS\/3\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>To support the decision-making process of new investors, this paper aims to implement Machine Learning algorithms to generate investment indications, considering the Brazilian scenario. Three artificial intelligence techniques were implemented, namely: Multilayer Perceptron, Logistic Regression and Decision Tree, which performed the classification of investments. The database used was the one provided by the website Oceans14, containing the history of Fundamental Indicators and the history of Quotations, considering BOVESPA (S\u00e3o Paulo State Stock Exchange). The results of the different algorithms were compared to each other using the following metrics: accuracy, precision, recall, and F1-score. The Decision Tree was the algorithm that obtained the best classification metrics and an accuracy of 77%.<\/jats:p>","DOI":"10.3390\/fi14110304","type":"journal-article","created":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T22:00:27Z","timestamp":1666735227000},"page":"304","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Decision Support Using Machine Learning Indication for Financial Investment"],"prefix":"10.3390","volume":"14","author":[{"given":"Ariel Vieira de","family":"Oliveira","sequence":"first","affiliation":[{"name":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u00e1rcia Cristina Schiavi","family":"Dazzi","sequence":"additional","affiliation":[{"name":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2986-5353","authenticated-orcid":false,"given":"Anita Maria da Rocha","family":"Fernandes","sequence":"additional","affiliation":[{"name":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. Uruguai, 458, Itaja\u00ed 88302-901, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rudimar Luis Scaranto","family":"Dazzi","sequence":"additional","affiliation":[{"name":"School of Sea, Science, and Technology, University of Vale do Itaja\u00ed, R. 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