Construção de uma ferramenta para auxiliar na compreensão da estrutura do mercado futuro de ativos de protação na B3 usando inteligência artificial

Abstract

The B3 future market is mainly used for asset protection purposes. Today, this market moves billions of reais daily, making possible some investors to achieve a high profitability in a short period of time through of stock oscillation. These stocks are diverse and may have different volatility and trends evaluated in the same period of time. However, the high stock price fluctuation, which can generate profitability in a short time, also makes the market complex and difficult to predict, creating the need for planning and analysis to reduce investment risks. In this way, with the help of an LSTM recurrent neural network for the prediction of values and methods of technical analysis, this work proposes the construction of a prototype in dashboard format to help traders and investors in decision making in investments in the future market.