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English(EN) What Prediction-Market Contracts Reveal at Launch: Trading Volume and Dispute Risk

新研究利用上线数据预测预测市场成功率

一篇新的arXiv论文分析了Polymarket上2023年至2026年间的超过80万个预测市场,以预测上线时的交易量和争议风险。研究发现,市场主题和合约设计是交易量的有力预测因素,可解释特征的表现优于神经文本模型。然而,在平台列表格式更改后,准确性显著下降,凸显了数据变化对预测模型的影响。争议预测更稳定但精度较低,适用于对市场群体进行排名,而非预测个体争议。 AI

影响 提供了关于NLP模型如何应用于结构化金融数据的见解,尽管突出了数据漂移的局限性。

排序理由 学术论文,详细介绍了对预测市场数据的定量分析。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新研究利用上线数据预测预测市场成功率

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学术论文,详细介绍了对预测市场数据的定量分析。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Ahmed Mahrous, Roberto Di Pietro ·

    预测市场合约在启动时揭示了什么:交易量和争议风险

    arXiv:2610.29578v1 Announce Type: cross Abstract: Using a near-census of 802,863 resolved markets listed on Polymarket between January 2023 and May 2026, and only information available at listing (the market's title and description, named resolution source, and contract metadata)…