Measurement principles, scope, and governance framework supporting the iEthereum Digital Commodity Index.
The methodology of the iEthereum Digital Commodity Index (DCI) exists to ensure consistency, neutrality, and analytical continuity across time.
Rather than optimizing for completeness or prediction, the DCI methodology is designed to preserve a stable measurement framework so that changes in structure, activity, and distribution can be observed without distortion from shifting definitions or retrospective adjustment.
This page outlines the doctrinal principles governing how the index is constructed, maintained, and evolved.
The iEthereum Digital Commodity Index (DCI) incorporates multiple measurement lenses to describe price behavior, supply activity, and market structure. In addition to nominal price and capitalization, the index includes inflation-adjusted price and market capitalization as purchasing-power normalization lenses. Supply behavior is observed through Active Supply versus Dormant Supply metrics, distinguishing circulating tokens from long-term held balances based on recent on-chain activity. Economic usage intensity is reflected through a Turnover Ratio, measuring activity relative to circulating supply. Market structure is further described through Liquidity Depth (±2% price impact), a structural trade-capacity metric derived from primary on-chain liquidity pools and presented without liquidity sufficiency or performance assumptions.
The DCI measures observable on-chain and market-level characteristics of iEthereum as a fixed-supply digital commodity.
Measurement scope includes, but is not limited to:
Supply distribution, active circulating supply vs dormant supply and holder concentration
Wallet participation and activity
Transfer frequency, turnover measures and velocity
Market capitalization, inflation -adjusted price, price behavior & purchasing-power normalization lenses.
Liquidity structure & depth, market access and settlement architecture
Longitudinal changes in dispersion and usage
Measurements are derived from publicly observable data and are applied consistently across reporting periods.
The DCI treats iEthereum as a digital commodity, not as a protocol equity or governance token. As such:
Metrics are interpreted using commodity and monetary frameworks
Issuance, yield, and governance-based models are not applied
Network activity is evaluated as usage behavior, not revenue generation
This framing avoids equity-style assumptions that are incompatible with fixed-supply, non-yielding digital commodities.
To distinguish between economic ownership and market accessibility, the DCI applies multiple analytical lenses to wallet and supply data.
These lenses may include:
Inclusive views, reflecting total observable distribution
Ex-exchange views, excluding identified exchange-controlled wallets
Custodial context, where relevant, to distinguish access from ownership
No single lens is treated as definitive. Instead, multiple views are preserved to allow structural interpretation without collapsing nuance.
The DCI adheres to a strict continuity doctrine:
Published reports are never retroactively restated
Methodological refinements are applied prospectively only
Historical values remain valid within the context in which they were published
Changes to definitions or calculations are documented and disclosed
This approach preserves the integrity of the longitudinal record and prevents artificial smoothing or revisionism.
While stability is prioritized, methodological evolution is sometimes necessary to improve accuracy or clarity.
When refinements occur:
Changes are implemented going forward only
Prior reports are left unchanged
Disclosures are recorded in methodology documentation
Cross-period comparisons do not span methodology boundaries unless explicitly disclosed
This ensures transparency without undermining continuity.
Beginning with the January 2026 publication, the iEthereum Digital Commodity Index adopted a standardized institutional presentation framework and formal governance structure. Reports published prior to this date reflect the evolving metric set and presentation format in use at the time and are preserved in their original form as archival records. No historical reports have been revised or restated.
This page intentionally does not include:
Full formulas or calculation code
API endpoints or raw datasets
Exhaustive statistical definitions
Interpretive conclusions or forecasts
Detailed technical specifications are provided exclusively within licensed research materials and supporting documentation.
Licensed institutions receive access to expanded methodological documentation, including:
Detailed metric definitions
Calculation procedures
Scope clarifications and exclusions
Teacher’s Guide and interpretive notes
These materials are provided to support internal review, audit, and replication.
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Methodological descriptions are provided for transparency and do not constitute investment, legal, or financial advice.