An Intelligent Decision Support System to Investment in the Stock Market

Stock market is a type of investment where with proper strategies and caution you can get good returns. However, its complex and stochastic behavior, the lack of knowledge and possibility of losses, can prevent a greater number of people availing themselves of this source of financial gain. The use of intelligent computational strategies can help the investor in this decision. From this viewpoint, this paper proposes an intelligent hybrid system that combines forecasting techniques with heuristic rules to give subsidies to the investor in the transaction in the stock market. To show functionality of the system we performed several studies in which we can close that the information provided by the system gave the investor possibility of higher gain ($) as well as an efficient capture trends of the stock market.