AI in markets

Research on language models, agent systems, alternative data and the limits of AI-assisted investment decisions.

Start here

• Can 100 AI Investors Beat the Market—or Just Agree With Each Other?

• The LLM Edge That Markets Haven’t Priced Yet

Language and information

• Reading Between the Lines: Using LLMs to Interpret Fed Signals

• Leveraging Alternative Data to Transform Financial Markets and Digital Assets

• Profiting from Information Asymmetry

Research workflows

• Five No-Code AI Workflows for Better Trading Research

• Revolutionising Financial Decision-Making with Adaptive Multi-Agent Frameworks

Model limits

• The Human Factor: Why Intelligence and Intuition Remain Crucial in Financial Machine Learning

• Building Effective Models in Real Markets

AI outputs require source verification, timing controls, benchmark comparison and human accountability.