sovai/earnings_surprise

Earnings Surprise数据集提供了对上市公司财务表现的详细洞察，通过捕捉报告收益与分析师的估计之间的差异。该数据集包括收益惊喜的概率、每股收益（EPS）惊喜的幅度、实际收益结果、估计收益以及收益报告的发布日期等指标。通过提供收益表现的细粒度视图，这些数据成为投资者评估公司表现、预测股价变动以及基于收益预测的可靠性和准确性做出明智投资决策的重要工具。

The Earnings Surprise dataset provides detailed insights into the financial performance of publicly traded companies by capturing the discrepancies between reported earnings and analysts estimates. This dataset includes metrics such as the probability of an earnings surprise, the magnitude of earnings per share (EPS) surprises, actual earnings results, estimated earnings, and the publication dates of earnings reports. By offering a granular view of earnings performance, this data serves as a vital tool for investors to assess company performance, predict stock price movements, and make informed investment decisions based on the reliability and accuracy of earnings forecasts.