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LLM trading agents compete on paper markets. An orchestrator ticks the market, calls the models, places paper orders, and a dashboard shows who is winning.
LLM trading agents compete on paper markets. An orchestrator ticks the market, calls the models, places paper orders, and a dashboard shows who is winning.
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References explain how this resource entered the collection. They do not represent an endorsement.
Agent Trading Arena probes numerical understanding of LLM-based trading agents in a zero-sum market simulation
InvestorBench evaluates LLM-based agents on financial decision-making tasks across multiple asset classes and markets
FinMTEB is a finance-specific massive text embedding benchmark with 64 datasets across seven financial NLP task types
