Research paper / RESOURCE PROFILE
Applies deep reinforcement learning to high-dimensional stock portfolio trading problems.
Applies deep reinforcement learning to high-dimensional stock portfolio trading problems.
Source: arXiv API · 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
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
