Intelligent Trading

Intelligent trading leverages artificial intelligence to automate and optimize financial market decisions, aiming to improve profitability and risk management. Current research focuses on integrating reinforcement learning algorithms, often within agent-based models, with techniques like causal analysis and sentiment analysis to enhance trading strategies and address issues like market manipulation. This field is significant for its potential to reshape financial markets, impacting both investment strategies and regulatory frameworks, while also advancing the development and application of AI in complex, dynamic systems.