AI × CryptoNeutralarXiv – CS AI · May 16/10
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Optimal Stop-Loss and Take-Profit Parameterization for Autonomous Trading Agent Swarm
A research paper demonstrates that exit strategy optimization—specifically tuning stop-loss and take-profit parameters—materially improves risk-adjusted returns for autonomous crypto trading systems. The study analyzed 900+ historical trades and found that tighter loss limits, earlier profit capture, and closer trailing stops outperform fixed exit rules, while acknowledging methodological challenges when backtesting on volatile market periods.