Sistemas inteligentes para auxiliar na tomada de decisões em mercado de capitais

Abstract

The ability of computational intelligence in mapping complex systems has become an attractive tool, because it is applicable in processes related to the behavior of financial market assets. The use of computational intelligence techniques is one of the strategies to predict this behavior by using non-linear systems, since it is influenced by various political and economic factors. The goal is to present a comparative analysis and modeling of computer systems in support of intelligent decision making in capital markets, using two computational intelligence techniques: fuzzy logic and artificial neural networks (ANN). These modeling to help predict market movement of capital and important information for decision making by the investor, enabling greater gain in liquidity in the negotiations. In short, this system provides decision support for investors who wish to track their investments.