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Contagion on the Trading Floor: How Adversarial Signals Spread in Multi-Agent Trading Systems
Multi-agent trading systems built on large language models (LLMs) are beginning to appear in quantitative finance, yet their robustness to adversarial inputs is largely unknown. We study the vulnerability of LLM trading stacks to black-box, input-only attacks that enter solely via admissible social-
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