Decision Support Using Machine Learning Indication for Financial Investment
نویسندگان
چکیده
To support the decision-making process of new investors, this paper aims to implement Machine Learning algorithms generate investment indications, considering Brazilian scenario. Three artificial intelligence techniques were implemented, namely: Multilayer Perceptron, Logistic Regression and Decision Tree, which performed classification investments. The database used was one provided by website Oceans14, containing history Fundamental Indicators Quotations, BOVESPA (São Paulo State Stock Exchange). results different compared each other using following metrics: accuracy, precision, recall, F1-score. Tree algorithm that obtained best metrics an accuracy 77%.
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ژورنال
عنوان ژورنال: Future Internet
سال: 2022
ISSN: ['1999-5903']
DOI: https://doi.org/10.3390/fi14110304