Inteligência artificial aplicada ao mercado financeiro para gestão de carteiras de ações

Abstract

This work addresses the integration of Artificial Intelligence (AI) in the context of managing stock portfolios in the financial market. The use of AI has become increasingly relevant in optimizing investment decisions and adapting to constant market changes. The objective of this work is to explore the contributions of these approaches to portfolio management, highlighting their benefits and challenges. To achieve this objective, a comprehensive literature review was conducted that addressed the main applications of this technology in the analysis of financial data, as well as the principles and practices in software development and project management environments. The literature review revealed that AI offers advanced capabilities for predictive analysis and task automation. Integrating this approach can significantly improve decision-making effectiveness, operational efficiency and responsiveness to market changes. In conclusion, the use of AI represents a promising evolution in stock portfolio management, allowing financial institutions to make more informed and agile decisions in a competitive and constantly changing environment. Working on this synergy is essential to achieve superior performance in investment operations.