TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
arXiv:2603.00285v1 Announce Type: new Abstract: Evaluating AI agents in finance faces two key challenges: static benchmarks require costly expert annotation yet miss the dynamic decisionmaking central to realworld trading, while LLMbased judges introduce uncontrolled variance on domainspecific...
arXiv:2603.00285v1 Announce Type: new Abstract: Evaluating AI agents in finance faces two key challenges: static benchmarks require costly expert annotation yet miss the dynamic decisionmaking central to realworld trading, while LLMbased judges introduce uncontrolled variance on domainspecific tasks. We introduce TraderBench, a benchmark that addresses both issues.
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