AI's Impact on Quant Strategies - Beyond Feature Engineering
We've seen basic applications of ML in quant for feature engineering and signal generation. What's the next frontier for AI in quantitative finance? Are we looking at fully autonomous trading agents making real-time decisions, or more sophisticated risk management and portfolio construction tools that adapt to market regimes in ways traditional models cannot? I'm particularly interested in how explainable AI (XAI) is being integrated into these processes to maintain regulatory compliance and internal auditability.