AI agents beat classic '60/40' investment strategy in JPMorgan backtests

JPMorgan has developed AI agents that beat the classic 60/40 stock-and-bond investing formula in backtests. Backtesting is the process of testing a predictive model or trading strategy against historical data. Powered by OpenAI and Anthropic's models, the agents outperformed the traditional portfolio on a risk-adjusted basis and also beat JPMorgan's existing rules-based market regime model.