The Impact of Sentiment Integration on Algorithmic Trading Performance: A Systematic Review of Multi-Modal Machine Learning Architectures
Traditional algorithmic trading relies heavily on structured financial data, but in contemporary high-density information environments, this uni-modal approach is becoming insufficient. The purpose of this study is to evaluate the impact of integrating sentiment analysis from financial news and social media on algorith...