Risk intelligence built for digital asset portfolios
Tervorynx combines predictive modelling, layered risk scoring, and continuous monitoring into a single framework designed for investors who need clarity before conviction.
A structured approach to an unstructured market
Each feature below addresses a specific gap in how digital asset risk is typically assessed — replacing fragmented, reactive tools with a single predictive layer.
Predictive Risk Scoring
Tervorynx's modelling engine evaluates asset-level risk continuously, rather than relying on static snapshots. Scores update as market conditions shift, giving teams an early view of deteriorating or improving positions.
- Dynamic scoring updated on a rolling basis
- Transparent weighting across model inputs
- Exportable scores for internal reporting workflows
Scenario Stress Testing
Model portfolio behaviour under defined stress scenarios before they occur in live markets. Tervorynx lets teams test sensitivity to liquidity shocks, volatility spikes, and correlated drawdowns without exposing capital.
- Configurable scenario parameters
- Side-by-side comparison of portfolio outcomes
- Historical pattern references for context
Stress test output is presented alongside baseline positioning, making it straightforward to compare modelled resilience across different portfolio configurations without switching tools.
Continuous Monitoring & Alerts
Risk conditions change faster than manual review cycles can track. Tervorynx monitors portfolio-relevant signals on an ongoing basis and surfaces changes that warrant attention, reducing reliance on scheduled check-ins alone.
- Threshold-based alerting configured per portfolio
- Consolidated view across multiple holdings
- Audit trail of flagged conditions over time
Monitoring is designed to reduce noise rather than add to it — alerts are tied to meaningful threshold changes, not routine price movement.
How the model is structured
Tervorynx's scoring framework is organised into distinct layers, each addressing a different dimension of digital asset risk.
Assesses liquidity depth, volatility behaviour, and trading venue concentration to establish a baseline risk profile for each asset.
Tracks network-level activity patterns relevant to asset behaviour, feeding into the predictive component of the overall score.
Identifies how assets within a portfolio move relative to one another, surfacing concentrated exposure that single-asset views miss.
Combines layer outputs into a single portfolio-level view, weighted according to position size and configured risk tolerance.
Model outputs are indicative risk assessments intended to inform decision-making, not guarantees of future performance. Methodology is reviewed on an ongoing basis.
Where the features fit into daily workflows
Pre-allocation risk screening
Before committing capital to a new position, teams run the asset through Tervorynx's scoring and stress testing features to understand downside behaviour under varied conditions.
- Faster screening of candidate assets
- Consistent evaluation criteria across the portfolio
- Documented rationale for allocation decisions
Standing portfolio monitoring
Once positions are established, continuous monitoring replaces manual spot checks, flagging meaningful shifts in risk conditions as they develop.
- Reduced manual review burden
- Earlier visibility into deteriorating positions
- Clearer record of risk events over time
Feature-specific FAQs
How frequently do risk scores update?
Scores update on a rolling basis as new inputs become available, rather than on a fixed daily or weekly schedule. Update frequency can vary depending on the specific asset and data source.
Can stress testing scenarios be customised?
Yes. Scenario parameters such as volatility magnitude and correlation assumptions can be configured to reflect the conditions a team wants to test against.
Does Tervorynx execute trades or manage custody?
No. Tervorynx is a risk modelling and analytics platform. It does not execute transactions, hold custody of assets, or provide financial advice.
How is portfolio-level risk calculated?
Portfolio-level risk aggregates individual asset scores, weighted by position size and adjusted for correlation effects identified in the framework's mapping layer.