Dataset Name: cmind_dashboard
Symbol Set: US Equities
Asset Class: Equity,ADRs,ETFs,Fixed Income,Options,FX,Futures,Crypto,Bonds
Data Update Frequency: intraday
Cmind's AI-based SaaS platform analyzes management commentary from various sources and company financials. It provides predictive intelligence on company performance, public image, and equity and bond prices.
The Cmind Earnings-Per-Share (EPS) 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.
The Cmind Revenue 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.
The Cmind Revenue Predictor is unique, accurate, and consistent.
The Equity C-score is a unique composite score that uses frontier machine learning to extract signals from accounting statements, earnings transcripts, corporate governance, and economic variables.The Equity C-score identifies short-term high-growth companies that will generate a significant average return over the underlying benchmark.
The C-Anomaly, is an AI-based quarterly signal designed for the early detection of financial statement accounting issues or red flags.Constructed using annotated financial ratios combined with semantic NLP, the C-Anomaly can forecast accounting issues relative to the company- and/or industry-level benchmarks that may require restatements or cause legal issues.
C-Trends 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.
Unique Forecasting Capabilities
- Best predicting accuracy in the industry
- High correlation with equity prices
- Sector, industry, and peer group benchmarking
- Accounting knowledge built into algorithms/models
- Comparisons with competitor companies
- Causal-effect relationships in the accounting book
- Statements, regulatory textual filings, transcripts, news
- All publicly-traded companies
- Long history coverage
- Structured and unstructured data
- Accelerates research and investigation process
- Intuitive user interface
- Clean data feeds
- Transparent and explainable AI