Key facts for StarMine SmartEstimates
Coverage metric
Delivery metadata
Overview of StarMine SmartEstimates
Predictive Estimate Signal
• Proprietary SmartEstimate methodology
• Produces more accurate estimates than simple consensus
• Generates SmartEstimate across key financial measures
• Creates forward-looking Predicted Surprise signals
Anticipate Earnings Surprises
• Helps identify potential earnings surprises before reporting
• Signals future estimate revisions and changing expectations
• Provides an early view of market-moving information
• Supports more informed investment decisions
SmartEstimate Methodology
• Weights forecasts by analyst accuracy and estimate recency
• Excludes stale, clustered and outlier estimates
• Generates Predicted Surprise signals across key measures
• Identifies signals corroborated by analyst revisions
Description of the dataset
- StarMine SmartEstimates from LSEG provide a more intelligent alternative to simple average analyst consensus. We improve estimate aggregation by weighting analyst forecasts according to timeliness and historical accuracy rather than treating every estimate equally.
- LSEG evaluates how accurate an analyst has been and how recently an estimate was issued for the relevant company and fiscal period. We assign greater influence to the most timely forecasts from the most accurate analysts to produce a more predictive earnings, revenue or financial estimate signal.
- Our methodology also incorporates RevisionCluster detection when analysts revise estimates in a concentrated period. We help investors identify meaningful changes in expectations and integrate higher-quality forecast intelligence into equity research, screening and valuation workflows.
Accessing the dataset
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