[JPMorgan Tests AI Investment Agents Capable of Autonomous Stock-Bond Allocation Adjustments] BlockBeats News, July 11 — JPMorgan is testing AI agents capable of autonomously adjusting stock and bond investment ratios to dynamically adapt portfolios based on market conditions. Test results show that, in a 20-year historical backtest, the best-performing AI model achieved an annualized return 0.7 percentage points higher than the traditional '60/40' stock-bond portfolio, while exhibiting lower volatility. All eight AI agents tested by JPMorgan delivered higher risk-adjusted returns. However, JPMorgan stated that these results are based on simulated tests and do not reflect actual investment performance. The bank also warned that large-scale AI adoption could lead to converging trading strategies, increasing market crowding and amplifying volatility under stress conditions. [Original Link]