Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Machine Learning for Financial Investment Indication

Version 1 : Received: 19 September 2022 / Approved: 20 September 2022 / Online: 20 September 2022 (05:45:26 CEST)

A peer-reviewed article of this Preprint also exists.

Oliveira, A.V.; Dazzi, M.C.S.; Fernandes, A.M.R.; Dazzi, R.L.S.; Ferreira, P.; Leithardt, V.R.Q. Decision Support Using Machine Learning Indication for Financial Investment. Future Internet 2022, 14, 304. Oliveira, A.V.; Dazzi, M.C.S.; Fernandes, A.M.R.; Dazzi, R.L.S.; Ferreira, P.; Leithardt, V.R.Q. Decision Support Using Machine Learning Indication for Financial Investment. Future Internet 2022, 14, 304.

Abstract

To support the decision making process of new investors, this paper aims to implement Machine Learning algorithms to generate investment indications. Three artificial intelligence techniques were implemented, namely: Multilayer Perceptron, Logistic Regression and Decision Tree, which performed the classification of investments. The results of the different algorithms were compared to each other using the metrics: accuracy, precision, recall, and F1-score. The Decision Tree was the algorithm that obtained the best classification metrics and an accuracy of 77%.

Keywords

Financial Investment; Machine Learning; Artificial Intelligence.

Subject

Computer Science and Mathematics, Computational Mathematics

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