There's little disagreement that quantitative and algorithmic #trading is transforming the way the financial market operates.
Instead of relying on intuition or manual analysis, traders use algorithms and artificial intelligence to analyze vast amounts of data and execute trades autonomously, and sometimes assertively, based on well-collected information and analysis.
These algorithms are programmed to identify complex and highly relevant patterns, as well as #market inefficiencies, enabling high-speed trade execution. This is something impossible for a single human being. Currently, large #investment funds and institutional traders use this approach to gain competitive advantages and have been successful.
A significant innovation in this field focuses on machine learning models that adapt to market changes and continuously optimize strategies, making it one of the pillars of modern trading today and in the future.