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FinMem is an LLM trading agent with layered memory and character design that improves trading performance over time
FinMem is an LLM trading agent with layered memory and character design that improves trading performance over time
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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
