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Multi-Agent Debate for Explainable Trading: Reasoning, Consensus, and Performance in Simulated Markets
Large language models (LLMs) are increasingly used for financial decision-making, yet it remains unclear whether improvements in reasoning quality translate into better economic outcomes. We investigate this question using a multi-agent debate framework for portfolio allocation in historical market
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