Bin Ren – text2quant (S7E2)

Corey Hoffstein and Bin Ren explore the intersection of AI and finance, focusing on the integration of large language models into systematic trading. They discuss Bin's transition from Brevin Howard to developing advanced backtesting engines and the importance of coupling these with data models. The episode delves into the flexibility of trading timing, incorporating alternative data, and integrating AI models like ChatGPT. They address the challenges of API design, handling queries, and understanding context in language models. The conversation covers the shift from code-centric to text-based strategies and the evolving role of quant researchers with AI. Cultural perspectives on AI in finance and future implications are also explored.