pith:7RAPPF33
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
Adaptive prompt optimization lets LLM trading agents improve over time using noisy market feedback
arxiv:2510.15949 v5 · 2025-10-10 · q-fin.TR · cs.AI
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Claims
Adaptive-OPRO consistently outperforms fixed prompts, while reflection-based feedback fails to provide systematic gains across regime-specific equity studies and multiple LLM families.
That real-time stochastic feedback from trading outcomes, despite arriving late and being obscured by market noise, can be effectively incorporated into prompt adaptation to produce systematic performance gains over time.
ATLAS is a multi-agent LLM trading system that employs Adaptive-OPRO for real-time prompt optimization using stochastic feedback, outperforming fixed prompts in equity regime studies across multiple model families.
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| First computed | 2026-05-21T02:04:53.707645Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
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Canonical record JSON
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