A system based on genetic algorithms as a decision making support for the purchase and sale of assets at São Paulo Stock Exchange

This work aims the implementation of a system to support decision-making to buy and sells share on the São Paulo Stock Exchange. To do that it was used a genetic algorithm with the help of technical analysis indicators. The Indicators allow us to detect trends, being widely used in the prediction of prices. The prediction of high or low at the stock market is a complex problem that involves a wide range of factors, ranging from the feeling of each market participant to a natural disaster. Thus, this system is not intended to be a crucial tool for decision making, but rather a supporting tool that if in a combination with other methods of analysis (such as fundamental analysis for example) and privileged information, can provide a higher accuracy for a solution of this problem.