Cmind’s AI-based research reports, SaaS platform, and data feed APIs analyze management commentary from various sources and company financials. Its offerings provide predictive intelligence on company performance, public image, and equity and bond prices.
Sector Earnings Outlook Reports
The Cmind Sector Earnings Outlook Reports offer sector-level (11 sectors) and company-level outlook of EPS and Revenue Beats/Misses prior to an earnings season. Click below for free sample reports. For inquires to specific sectors and/or company-level analytics, contact us.
SaaS and Datafeed APIs
The Cmind SaaS and Datafeed APIs provide timely and daily analytics for investors in the areas of EPS beats, Revenue beats, Financial Reporting risk scores, and news trending.
Click here to take a look at our white paper that speaks about the vision, philosophy and methodology that we implemented in our EPS and Revenue beats predictors.
Click here for more information on our data feed APIs.
Visit our linkedin posts for our latest progresses.
Click here to request the most recent two-year performance summary.
EPS Beats Predictor
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. Using an interactive process, the EPS Predictor model is continually being fine-tuned to produce better results over time.
Revenue Beats Predictor
The Cmind Revenue Beats Predictor accurately predicts US company revenue beats and misses a full quarter ahead of the next release using frontier machine learning to extract signals from accounting statements, earnings transcripts, economic variables, and consensus revenue.
Financial Reporting Risk Score
The Cmind Financial Reporting Risk Score is an AI-based quarterly signal designed for the early detection of financial statement accounting issues or red flags. It is constructed using annotated financial ratios combined with semantic NLP, and can forecast accounting issues relative to the company- and/or industry-level benchmarks that may require restatements or cause legal issues.
News Trending
The Cmind News Trending uses contextual language to enable you to search for relevant topics and events for a specific company or group of companies and cross-compare them against industry peers and peer groups. It gathers information from 20+ news sources, 10Ks, 10Qs, MDAs, as well as earnings calls. Its purpose is to drill down on keywords and other trending terms to provide insights for investors.
Our Differentiators
Unique Forecasting Capabilities
Best predicting accuracy in the industry
High correlation with equity prices
Sector, industry, and peer group benchmarking
Accounting Expertise
Accounting knowledge built into algorithms/models
Comparisons with competitor companies
Causal-effect relationships in the accounting book
Comprehensive Inputs
Statements, regulatory textual filings, transcripts, news
All publicly-traded companies
Long history coverage
Structured and unstructured data
Easy-to-use
Accelerates research and investigation process
Intuitive user interface
Clean data feeds
Transparent and explainable AI