Cmind
Cmind provides advanced AI-driven solutions to empower traders and investment managers in forecasting more accurate earnings, revenue, financial restatements, and credit valuations for achieving greater edge.
The Cmind Earnings-Per-Share (EPS) Beats Predictor accurately predicts US company earnings beats and misses a full quarter ahead of the next release. The EPS Predictor uses frontier machine learning and context-conscious semantic natural language processing (NLP) to extract signals from accounting statements, earnings transcripts, MD&A, footnotes, economic variables, and consensus EPS. The EPS Predictor model is continually fine-tuned using an interactive process to produce better results over time. It features high accuracy, high-frequency updates, and explainability.
Key Benefits
- Unbiased, accurate predictions: accuracy ratings range up to 90%
- Compare the earnings insights, risks, movers, outlook, and change dynamics at ticker, portfolio, watchlist, competitor, sector, cap and total market levels
- Stay ahead of the market - predictions updated daily and released up to 90 days prior to earnings announcements
- Continuous adaption and improvement - model is continuously fine-tuned through an interactive process to refine results over time
- Model and data automation reduce research time for investment teams from 30%+
Key Features
- Heat map that illustrates predictions for upcoming period
- Data available for 150+ variables, including key drivers, insights on financial, linguistic, and macro insights
- Research commentary on dynamic trends distributed to users
- Visualizations show historical trends for 6+ years
- Coverage for 4400+ U.S. publicly traded equities
- Saas and API versions available
- Easily accessible user-portfolio creation tools
