Portfolio Risk Assessment
SkillDev toolsEvaluate overall portfolio risk by analyzing concentration, correlation, volatility exposure, leverage, and protocol dependencies to build a comprehensive risk profile.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Portfolio Risk Assessment skill
What this skill tells your AI
The instructions your AI receives, as published by nirholas/three.ws in data/skills/portfolio/risk-assessment/SKILL.md and read by ahel’s review.
When to use this skill
Use when the user asks about:
- Understanding their portfolio's overall risk level
- Identifying hidden risks or correlations
- Stress-testing their portfolio against market scenarios
- Reducing portfolio risk without sacrificing too much upside
- Evaluating whether their risk exposure matches their tolerance
Risk Assessment Framework
1. Concentration Risk
Analyze portfolio distribution:
- Single-asset concentration: Any position > 25% of portfolio is high concentration risk
- Sector concentration: Total exposure to a single sector (e.g., all DeFi tokens) shouldn't exceed 40%
- Chain concentration: Everything on one chain means single-point-of-failure risk (bridge hack, chain halt)
- Herfindahl Index: Calculate HHI = sum of squared weights. Below 0.15 = diversified, above 0.25 = concentrated
| Risk Level | Characteristic |
|---|---|
| Low | No single asset > 15%, no sector > 30%, 3+ chains |
| Medium | One asset 15-25%, sector up to 40%, 2+ chains |
| High | One asset > 25%, sector > 40%, single chain |
| Critical | One asset > 50%, or all in one protocol |
2. Correlation Analysis
Assess how positions move together:
- High correlation cluster: BTC, ETH, and most alts are highly correlated in drawdowns (correlation 0.7-0.95 during crashes)
- Diversification reality: Holding 10 different altcoins does NOT provide meaningful diversification if they all drop 60% together
- True diversification assets: Stablecoins, potentially BTC (lower beta during moderate corrections)
- Negative correlation: Stablecoins and short positions provide true hedge, but at a carry cost
- Correlation increases in crisis: Diversification benefits shrink exactly when you need them most
3. Volatility Risk Profile
Quantify the portfolio's volatility exposure:
- Weighted average volatility: Sum of (position weight * asset 30d annualized volatility)
- Maximum drawdown exposure: Estimate worst-case based on historical max drawdowns of each asset
- $Value at Risk: At 95% confidence over 24h, how much could the portfolio lose?
- Beta to BTC: How much does the portfolio move per 1% BTC move? Beta > 1.5 is aggressive
4. Leverage and Liquidation Risk
If the portfolio includes leveraged positions:
- Total leverage ratio: Sum of all positions / actual equity deployed
- Liquidation prices: For each leveraged position, what price triggers liquidation?
- Aggregate liquidation buffer: Minimum percentage drop across all positions before any liquidation fires
- Cross-margin risk: If positions share collateral, one liquidation can cascade
- Funding rate exposure: Net funding costs or earnings across perpetual positions
5. Protocol and Smart Contract Risk
Assess DeFi-specific risks:
- Protocol diversification: Don't put > 20% in any single protocol
- Audit status: List protocols used and their audit history
- Composability risk: Complex strategies stacking multiple protocols multiply risk (a bug in any layer fails the whole stack)
- Oracle dependency: Which oracle do your DeFi positions rely on? Single oracle failure cascades
- Bridge exposure: Funds currently on bridges or bridged chains
6. Stress Test Scenarios
Model portfolio impact under specific scenarios:
| Scenario | BTC Impact | ETH Impact | Alt Impact | Portfolio |
|---|---|---|---|---|
| 2022-style bear (gradual) | -65% | -70% | -85% | ? |
| Flash crash (24h) | -30% | -35% | -50% | ? |
| Stablecoin depeg | 0% | -10% | -15% | ? |
| Smart contract exploit | 0% | 0% | -100% (affected) | ? |
| Regulatory crackdown | -20% | -25% | -40% | ? |
Calculate the dollar impact for each scenario using actual portfolio weights.
7. Risk Score Card
| Risk Category | Score (1-10) | Weight | Weighted Score |
|---|---|---|---|
| Concentration | 25% | ||
| Correlation | 20% | ||
| Volatility | 20% | ||
| Leverage | 15% | ||
| Protocol/Smart contract | 10% | ||
| Liquidity | 10% | ||
| Overall Risk Score | X / 10 |
8. Output Format
- Overall risk level: Conservative / Moderate / Aggressive / Reckless
- Risk score: X / 10 (higher = more risk)
- Top 3 risks: Most critical vulnerabilities in the portfolio
- Worst-case scenario: Dollar loss in a severe downturn
- Risk-adjusted improvements: 3 specific changes to reduce risk while maintaining exposure
- Diversification grade: A through F
- Leverage assessment: None / Modest / Elevated / Dangerous
- Action items: Prioritized risk reduction steps
Signals
- GitHub stars
- 114
- Forks
- 29
- Last commit
- Sep 2026
Advanced
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- skill
- Gateway key
risk-assessment-nirholas- Source
- github.com/nirholas/three.ws