Forecasting Earnings a Full Quarter Out

With a focus on management commentary, Cmind applies NLP, ML and AI to identify earnings beats and misses a full quarter ahead of earnings season. Cmind's data heterogeneity is built upon 6 modalities and 150+ targeted input variables. Cmind's data is updated daily. And, "Very Likely" beats and misses are not just 80%-97% accurate, Cmind provides an explanation of how we arrived at these forecasts.

搜集汇总

背景与挑战

背景概述

该数据集名为'Forecasting Earnings a Full Quarter Out'，由Cmind平台通过自然语言处理、机器学习和人工智能技术，结合管理层评论等六种模态及150多个输入变量，提前一个季度预测公司收益是否超出或低于预期。数据每日更新，预测准确率高达80%-97%，并附带详细的预测解释。