MetricUpdated: 2026-07-09
What is data coverage?
Data coverage describes whether key fields and model inputs are available for the current IPO stage.
Plain meaning
Available data changes by stage. Early subscription may only have prospectus and margin data; grey market and first-day outcomes arrive later.
Why it matters
More complete data gives the model more inputs. Low coverage does not make an output useless, but it should be read more conservatively.
How to read it
Read it with IPO stage, missing fields and update cadence. Subscription, grey market and listed stages have different reliability boundaries.
How it appears here
IPO scoring and allotment prediction pages can show coverage or stage notices to separate early priors from judgments with more market feedback.
Common mistakes
- Comparing scores across stages without checking missing data.
- Assuming high coverage guarantees prediction accuracy.
- Treating early priors as final conclusions.