Updated Monthly
Live Measurement Model

Global Digital Asset
Risk Index

A real-time framework measuring systemic risk across the global digital asset ecosystem. Providing quantitative assessments for institutional risk modeling.

47
Elevated Risk
0-20 LOW
20-40 MODERATE
40-60 ELEVATED
60-80 HIGH
80-100 SYSTEMIC

The 5 Analytical Pillars

Index composition and current stress levels

Market Volatility
52/100
Measures realized and implied volatility aggregated across Tier-1 crypto assets (BTC, ETH) via derivatives data.
Current Driver: Options Expiry
Liquidity Stress
65/100
Analyzes order book depth, bid-ask spreads, and liquidations across major centralized and decentralized venues.
Current Driver: CEX Liquidity Contraction
Regulatory Pressure
38/100
Assesses the velocity and impact of global enforcement actions, new regulatory frameworks, and central bank guidance.
Primary Watch: SEC Enforcement (US)
Systemic Events
15/100
Real-time monitoring for catastrophic failures (e.g., major hacks, stablecoin de-pegs, critical protocol vulnerabilities).
Status: Stable / No Black Swan
Institutional Flows
58/100
Tracks net flows into ETFs, ETPs, and institutional custody movements. Negative flows increase the risk premium.
Direction: Moderate Net Outflows

Key Risk Drivers

Key factors pushing the index to Elevated level this month:

  • Post-Halving Liquidity Contraction
    Order book depth across major centralized exchanges has thinned by 15%, increasing sensitivity to large sell orders.
  • US Regulatory Scrutiny Escalating
    New Wells notices issued to major DeFi protocols signaling an expansion of SEC enforcement scope.
  • Institutional ETF Flows Stabilizing
    Continued, albeit tempered, inflows into Spot Bitcoin ETFs act as a structural anchor, preventing systemic sell-offs.

Research Notes

Research Note #01

Digital Asset Liquidity Conditions 2026

Analyzing market depth fragmentation and the role of OTC desks in mitigating slippage for systematic hedge funds.

 Research Note #02

Systemic Risk Contagion Models

Mapping vector equations for counterparty risk assessment of major stablecoin issuers against traditional banking rails.

Mathematical Methodology

DCM Core aggregates over 30 distinct data feeds across derivatives pricing, blockchain mempools, and regulatory news sentiment algorithms. The weighted model uses an EWMA (Exponentially Weighted Moving Average) to avoid lagging signals.

View full quantitative methodology framework