Research paper / RESOURCE PROFILE
InvestorBench evaluates LLM-based agents on financial decision-making tasks across multiple asset classes and markets
InvestorBench evaluates LLM-based agents on financial decision-making tasks across multiple asset classes and markets
Source: ACL Anthology citation metadata · observed Oct 11, 2026.
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
FinMTEB is a finance-specific massive text embedding benchmark with 64 datasets across seven financial NLP task types
StockBench runs LLM agents through multi-month real stock trading simulations to test profitability versus buy-and-hold
