O uso de robôs no mercado financeiro

Abstract

This undergraduate thesis provides an overview of the development of trading algorithms in the stock market, followed by a timeline highlighting significant historical moments. It also explores the psychological factors that influence investors when making trading decisions. Furthermore, it demonstrates an AI code that executes operations in the futures market, along with an expositional analysis of the results achieved in the backtest. The main objective was to demonstrate the functionality of using trading robots in the financial market and how it can further evolve with the popularization and advancement of the platform. In this study, the MetaTrader platform and its programming language, MQL5, were utilized for building and showcasing the results. By employing a moving average strategy, a positive result was achieved during the analyzed backtest period, concluding that investment algorithms can indeed be satisfactory when well-programmed and calibrated. However, like any investment, there are pros and cons, and it is up to each investor to decide if this approach aligns with their investment style.