Data Methodology

What is it?

Data Methodology defines the sources, timing, valuation, cost recognition, and reconciliation rules behind displayed metrics.

Why does it exist?

A precise number without provenance can mislead. Stale, missing, and estimated states require explicit labels.

How does it work economically?

Reserve metrics must reconcile asset marks, liabilities, strategy P&L, fees, revenue allocation, and onchain transactions at a stated timestamp.

What does the user see?

Every dashboard exposes a timestamp, status, source class, methodology version, and definition for each material field.

What can go wrong?

Oracle delay, venue downtime, assumptions, chain reorganization, and reconciliation errors can make published data incomplete or wrong.

Metrics that prove it