AI risk management for long-term portfolios
Nova Momentum ingests market data continuously and applies a predefined stop-loss overlay when downside risk rises, giving parents with significant savings a way to limit drawdowns without daily monitoring.
Risk models are reviewed on a defined schedule; the automated stop-loss layer itself runs continuously between reviews.
The problem, plainly stated
Between work, school runs and everything in between, most parents with significant savings simply don't have the hours to track daily market movements. A sharp downturn left unmanaged for even a few weeks can erode years of accumulated growth.
Nova Momentum addresses this with an AI-driven risk layer: it ingests market data continuously, models drawdown risk in real time, and executes stop-loss adjustments automatically, without requiring you to log in, react, or make a judgement call under pressure.
How it works
Each stage is designed to be inspected, not taken on faith. You set the thresholds; the system carries out the monitoring and execution.
Live market feeds, macroeconomic indicators and portfolio-specific signals are ingested continuously, rather than reviewed on a fixed weekly or monthly schedule.
Statistical and machine-learning models assess the likelihood and probable scale of a drawdown across each holding, updating their view as new data arrives.
When modelled risk crosses a threshold you've set in advance, the system executes a stop-loss adjustment automatically, without waiting on a manual approval step.
Capital released from at-risk positions is redeployed according to your existing strategy, so the portfolio stays positioned for growth rather than sitting idle in cash.
Data-forward, by design
These are structural differences in process, not a forecast of returns. Every metric here describes how decisions are made, not what a portfolio will do next.
| Dimension | Unmanaged portfolio | Nova Momentum overlay |
|---|---|---|
| Monitoring frequency | Reviewed when time allows | Continuous, around the clock |
| Response to a sharp downturn | Manual decision, often delayed | Automated action within the same data cycle |
| Basis for action | Instinct, habit or news headlines | Predefined risk thresholds set by you in advance |
| Emotional decision-making | A factor under market pressure | Removed from the execution step itself |
| Record of actions taken | Rarely logged systematically | Logged and reviewable after each intervention |
Illustrative comparison of process, not of historical or projected performance. Past market behaviour is not a guide to future results.
Where it fits
The same mechanism applies across different savings goals; only the thresholds and time horizon change.
Building a private pension pot means enduring several market cycles along the way. Nova Momentum applies the same stop-loss discipline to pension-linked investments, so a downturn in the years before retirement doesn't have to undo decades of saving.
Money set aside for school or university fees usually has a fixed horizon. You cannot simply wait for a market recovery if fees are due in three years. The overlay's threshold can be tightened as the stated date approaches, reducing exposure when timing matters most.
During periods of elevated volatility, the model increases its monitoring frequency automatically. You don't need to adjust any settings, watch financial news, or second-guess whether now is the moment to act.
Questions worth asking
We'd rather answer these plainly here than have you wonder about them later.
Account access is protected using standard encryption in transit and at rest, and access to your account requires authentication in the same way as any well-run financial platform. You retain full visibility over every automated action taken on your behalf, with a record you can review at any time.
Nova Momentum does not lock your capital into a fixed term. The stop-loss overlay sits alongside your existing custody and withdrawal arrangements, so the standard liquidity terms of your underlying account continue to apply. The overlay manages risk; it does not restrict access.
Every stop-loss action is triggered by a risk threshold that you review and set in advance, not by sentiment or headlines. The model acts only when your predefined conditions are met, and each intervention is logged with the data that triggered it, so the reasoning stays visible rather than hidden inside a black box.
Set your thresholds once, and let the system carry the daily monitoring. That's what automated peace of mind is meant to feel like: less time on the markets, and more time where it matters.
