Simulated Stock Trading Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/MingyuJ666/Stockagent
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资源简介：
该数据集记录了在10个交易日里，不同大型语言模型（LLM）控制的人工智能代理商进行的模拟股票交易决策。该数据集使得我们能够评估外部因素及不同LLM对交易行为的影响，从而可以分析交易偏好和模式。数据规模涵盖了30轮多次模拟，任务是对股票交易进行模拟。
This dataset records simulated stock trading decisions made by AI Agents controlled by various Large Language Models (LLMs) over 10 trading days. It enables the assessment of the impacts of external factors and different LLMs on trading behaviors, thereby facilitating the analysis of trading preferences and patterns. The dataset includes 30 rounds of repeated simulations, where the assigned task is stock trading simulation.
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