Quant Trading Is Becoming Agentic

How is agentic AI changing quantitative trading, and what could it mean for the future of institutional trading? In this episode of FinTech Focus TV, Toby Babb visits Talos in New York City to speak with Eliad Hoch, Head of Quant Execution Services, about the evolution of quant trading, digital assets and AI-powered trading technology. Eliad shares how his team at Talos is moving towards agentic AI workflows, shifting from traditional coding towards AI-assisted research, development and execution strategies. He also discusses a future where traders could use AI agents to analyse trading opportunities, evaluate execution algorithms and carry out trades with human oversight. Beyond AI, the conversation explores why Bitcoin's price doesn't tell the full story of the crypto industry, the growing role of tokenisation and real-world assets, and how institutional interest in event contracts is creating new opportunities for quantitative trading strategies. They also discuss the move towards 24/7 trading and settlement, the infrastructure challenges facing financial institutions, and why Eliad believes AI could create significant opportunities for the next generation of quant researchers and trading technology professionals. From crypto trading and algorithmic execution to agentic AI and institutional digital asset infrastructure, this episode examines how trading technology is evolving and what that means for the people building and using it. ----------------------------------------------------- Chapters: 00:00 Introduction 04:44 From crypto hedge fund to Talos 06:24 Why crypto is bigger than Bitcoin 07:44 Tokenisation and real-world assets 12:44 Prediction markets and institutional adoption 15:14 Arbitrage and algorithmic trading 20:14 The future of 24/7 trading 25:14 Agentic AI in quantitative trading 29:14 AI and the future of quant careers