In this session, the story will be shared behind developing and deploying the first fully AI-managed ETF on the New York Stock Exchange—where every trade, rebalance, and decision was autonomously driven by AI. From ingesting every market tick across US large-cap equities to constructing and rebalancing a highly active, cost-sensitive portfolio, the presentation offers a rare, transparent look at how AI can fully automate public investment vehicles.

Understand the technical architecture required to automate ETF management using AI, from ingesting high-frequency market data to portfolio rebalancing and execution.

Explore real-world challenges in data quality, cost optimisation, and regulatory compliance when deploying an AI-driven strategy to a public exchange.

Gain insights into lessons learned from the launch, management, and sale of a fully autonomous ETF—highlighting what it takes to bridge quant innovation and public market accountability.