Ernest Chan
Ernest Chan is a long-time educator and practitioner in algorithmic trading and machine learning, whose books and commentary serve as fundamental entry points for systematic strategy design.
Ernest Chan's voice is distinctive in its focus on the practical application of machine learning and AI in finance, particularly in portfolio optimization and market regime adaptation. He pushes the angle of using advanced techniques like Deep Reinforcement Learning and Generative AI to improve investment outcomes. For example, his post on 'The Amazing Efficacy of Cluster-based Feature Selection' showcases his ability to dive into technical details and provide concrete examples of how these techniques can be used in finance.
We use cookies
CiteGist uses essential cookies to keep you signed in. With your consent we'd also use analytics cookies to understand which pages help most. Learn more.