Data Coverage is the share of required inputs the providers actually supplied. It measures evidence completeness, not token quality.
Created from deterministic market calculations and editorial review. AI may summarize evidence but cannot invent prices, levels or results.
Primary-source policy: exchange data and documentation, broker contract terms, and official regulator or market-education materials.
Alpha Radar evidence guide · reviewed 2026-09-03.Read the full methodology →What to remember
- Unknown is different from false.
- Provider failure must not create optimistic defaults.
- Compare score, coverage and algorithm version together.
How the evidence is formed
Data Coverage is the share of required inputs the providers actually supplied. It measures evidence completeness, not token quality.
HyperFX records a timestamped observation from named providers and applies a versioned deterministic rule. The result describes known inputs at that moment; it is not a prediction or certificate.
Unknown data and limits
Missing evidence stays Unknown. It does not reduce detected risk, increase confidence or become a favourable assumption. Read Data Coverage beside every score.
Unknown is different from false.
Practical verification workflow
Confirm chain and canonical contract, compare multiple observations, open the cited source and define acceptable risk before any external action.
Provider failure must not create optimistic defaults. Compare score, coverage and algorithm version together.