Features built for disciplined crypto portfolio oversight
From risk scoring to rebalancing signals, every capability in Kellavorn is designed to give you clear, defensible reasoning behind each position — not black-box predictions.
A structured toolkit, not a signal feed
Kellavorn combines quantitative screening, scenario modelling, and portfolio construction logic into a single workflow. Each feature below addresses a distinct stage of the decision process — from identifying exposure to monitoring it over time.
What's inside the platform
Multi-factor risk assessment
Every asset is evaluated against volatility history, liquidity depth, and concentration risk, producing a composite score that updates as market conditions shift — so exposure is never assessed on price alone.
Stress testing across market regimes
Run portfolios through drawdown, correlation-breakdown, and liquidity-shock scenarios to understand how a given allocation might behave before conditions change, rather than after.
Rule-based rebalancing guidance
Rebalancing suggestions are generated from predefined thresholds and risk bands you set — keeping discretionary drift in check without removing your control over final decisions.
Readable, exportable analysis
Every output — from risk breakdowns to scenario results — is presented in plain language with supporting data, structured for review by you, an advisor, or a committee.
Continuous tracking, not one-off reports
Portfolios are reassessed on an ongoing basis as underlying data changes. You receive structured updates when risk scores move beyond the bands you've configured, rather than needing to re-run analysis manually.
- Automated re-scoring as volatility and liquidity data refresh
- Threshold alerts tied to your own risk tolerance settings
- Historical comparison views to track how exposure has evolved
- Audit trail of inputs behind every scoring change
Illustrative risk-band distribution across a sample multi-asset portfolio.
How the features fit together
Intake
Portfolio holdings and risk parameters are entered or imported as a starting baseline.
Scoring
Each asset is scored against volatility, liquidity, and concentration factors.
Modelling
Scenarios are run to test how the portfolio responds under stress conditions.
Review
Structured output is delivered for your own review or discussion with an advisor.
Built around judgement, not automation alone
Kellavorn doesn't aim to replace decision-making — it aims to make the inputs to that decision clearer. Every feature exists to surface the reasoning behind a number, not just the number itself.
That means scoring methodologies are documented, scenario assumptions are visible, and rebalancing rules are ones you define and can adjust. The platform supports the process; it doesn't obscure it.
See how these features apply to your own portfolio
Request a strategy overview and we'll walk through how risk scoring, scenario modelling, and reporting would apply to a portfolio like yours.