Dataset · Hugging Face

corelabel/agent-trading

Name: agent-trading
Creator: corelabel
License: apache-2.0
Keywords: task_categories:reinforcement-learning, task_categories:text-generation, language:en, license:apache-2.0, size_categories:1K<n<10K, modality:text, region:us, agents, tool-use, process-reward-model, reinforcement-learning, synthetic, trajectories

Synthetic Trading Agent Trajectories Step-annotated, tool-using agent trajectories for a discretionary news-driven trading workflow: scan the feed, form a thesis, size a position, place a stop, revise, exit. Built for SFT, process reward modelling (PRM) and RL against a deterministic simulator with verifiable rewards. Simulated only. Invented tickers, synthetic prices, synthetic news, a mock broker. No real market data. Rewards score process discipline against a simulator, not… See the full description on the dataset page: https://huggingface.co/datasets/corelabel/agent-trading.

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Author / organization	corelabel
License (as declared)	apache-2.0
Downloads	126 (as reported by Hugging Face)
Likes	0
Created	25 September 2026
Last updated at source	26 September 2026

agentstool-useprocess-reward-modelreinforcement-learningsynthetictrajectories

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