Análise de estratégias para operação em mercado financeiro

Abstract

The high risk financial market proves to be a very profitable market, but difficult to read. Research has been conducted for creating strategies to operate in the market and its results has shown that specific strategies are good for certain assets, suggesting that for this problem, one solution is not effective. For this proposal, it presents an comparative analysis among seven strategies: five of them using the machine learning, presenting the best strategies for each asset. Results show that most of the strategies presented showed relevant results for a problem, confirming the conclusion of the previously researches.