Optimal Stop-Loss and Take-Profit Parameterization for Autonomous Trading Agent Swarm

This paper investigates the impact of stop-loss and take-profit settings on the performance of autonomous crypto trading agent swarms. It finds that optimal exit strategies significantly improve risk-adjusted returns, favoring tighter loss limits and earlier profit capture.