2 papers
cs.AI2026
Optimal Stop-Loss and Take-Profit Parameterization for Autonomous Trading Agent Swarm
Nathan Li, Aikins Laryea, Yigit Ihlamur
Autonomous crypto trading systems often spend most of their design effort on finding entries, while exits are left to fixed rules that are rarely tested in a systematic way. This p…
cs.LG2026
From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code
Anirudh Jaidev Mahesh, Ben Griffin, Fuat Alican +8
Large language models (LLMs) are increasingly used for high-stakes decision-making, yet existing approaches struggle to reconcile scalability, interpretability, and reproducibility…