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Paper artifacts, figures, aggregate data, and share cards for the DXRG paper: What LLM Trading Agents Actually Do in Production (six months, two fleets,…
Paper artifacts, figures, aggregate data, and share cards for the DXRG paper: What LLM Trading Agents Actually Do in Production (six months, two fleets,…
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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
