Research paper / RESOURCE PROFILE
Publication: TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. Published Feb 16, 2021.
Publication: TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. Published Feb 16, 2021.
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
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FinMTEB is a finance-specific massive text embedding benchmark with 64 datasets across seven financial NLP task types
