ORI Methodology v1.0

ORI Methodology

A transparent framework for measuring digital-asset risk across structural and dynamic dimensions.

The Omega Risk Index converts fragmented market, liquidity, on-chain, governance, ownership, tokenomics and protocol evidence into a comparable 0–100 risk intelligence score.

Higher ORI = stronger observable risk characteristics / lower measured risk.

ORI measures observable risk conditions—not expected returns or investment merit.

How ORI Works

01Raw Evidence
02Metric Normalization
03Category Scores
04Structural + Dynamic Risk
05Base ORI
06Event Overlay
07Final ORI

Confidence sits beside this pipeline. It describes evidence quality, not asset risk, and is never added into the ORI number.

Two Dimensions of Risk

Structural Risk — 40%

Longer-horizon characteristics of the asset and protocol.

Tokenomics25%
Ownership & Concentration20%
Governance & Control20%
Protocol / Network Resilience25%
Institutional & Market Structure10%

Dynamic Risk — 60%

Changing conditions in markets, liquidity, networks and on-chain activity.

Market Risk30%
Liquidity Risk30%
On-Chain Risk20%
Protocol / Network Risk20%
Base ORI = 40% Structural + 60% Dynamic

From Metrics to Category Scores

Individual metrics are collected, classified as available / unavailable / not applicable, normalized, converted to 0–100 risk scores, then weighted inside their category. Missing applicable weights are renormalized — they are never treated as zero.

Normalization modes: ABS (absolute thresholds), XSEC (peer comparison), HIST (historical window), RUBRIC (documented qualitative rubric), and Robust Z ((x − median) / (1.4826 × MAD)). Each metric declares its mode.

Missing Data

OASIS does not treat missing data as zero. Available applicable metric weights are renormalized. Unavailable applicable evidence reduces Confidence. Non-applicable metrics do not reduce coverage. Below 60% weighted coverage the result is Insufficient Data — not a fabricated score.

Confidence

ORI answers: how strong are the observable risk characteristics? Confidence answers: how strongly does the available evidence support that assessment?

Confidence = 40% Coverage

+ 25% Freshness

+ 25% Source Quality

+ 10% Source Agreement

Event Overlay

Extraordinary events can move faster than rolling quantitative indicators. Overlays are rules-based, documented, time-aware and auditable. Values below are an illustrative example only.

82
Base ORI (example)
−10
Critical event (example)
72
Final ORI (example)

Data & Evidence

Evidence modes: Automated, Provider, Hybrid, Analyst Reviewed. Methodology requirements are separate from current provider availability. A metric is not silently approximated because data is unavailable. Future metrics stay in configuration until reliable evidence exists.

ORI Methodology v1.0

ORI methodology is versioned so changes to metric definitions, calibration, weighting or data treatment remain auditable over time. Historical records retain the version used at calculation time.

OASIS provides informational analytics only and does not provide financial, investment, legal, or tax advice. OASIS is non-custodial and does not hold user assets.