SMART|EARNINGS
Upcoming reports with AI-powered beat probability analysis
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Earnings Intelligence Methodology
The Probabilistic Model
Our Smart Earnings engine utilizes a proprietary multi-factor model to calculate the probability of a company beating consensus EPS estimates. Unlike standard calendars, we analyze the structural behavior of corporate reporting and analyst sentiment cycles.
The model weights historical "Surprise Alpha" heavily—identifying firms that systematically under-promise and over-deliver. We further cross-reference this with 14-day relative strength momentum to detect institutional "buying into the print," which often precedes positive surprises.
Key Intelligence Signals
- 01.Analyst Revisions: Tracking the second-derivative of consensus changes in the 7 days leading up to the report.
- 02.Implied Volatility (IV): Analyzing the options-implied move vs. historical actual moves to identify mispriced risk.
- 03.Sector Correlations: Factor-based adjustments based on peer-group performance during the same earnings cycle.
Institutional Research DisclaimerThe CondorEdge Smart Earnings model is an analytical tool provided for informational and educational research purposes only. It does not constitute financial, investment, legal, or tax advice, and does not represent a recommendation or solicitation to buy or sell any security or financial instrument. CondorEdge is not a registered investment advisor, broker-dealer, or financial analyst. The earnings beat probability calculations are probabilistic estimates based on historical consensus revision cycles, implied volatility ratios, and technical sentiment indexes. All calculations are estimates and do not guarantee future accuracy or actual trading outcomes. Past performance is not indicative of future results. Conduct your own independent due diligence before making any financial decisions.