Crimenovels applies predictive models to UK market data and delivers a daily report, so parents can review family wealth decisions in minutes rather than hours spent researching.
No trading jargon required. Each morning you receive a concise summary of positioning, risk exposure, and performance against your goals.
The system processes historical and current market data to generate scalable recommendations, weighing probability against downside exposure before any allocation is suggested.
Positions are continuously checked against volatility thresholds and concentration limits, with adjustments proposed whenever exposure drifts outside agreed parameters.
A single report each morning summarises portfolio movement, risk flags and any model changes, producing data-backed outcomes you can review without needing a finance background.
Market feeds, pricing data and macroeconomic indicators are pulled continuously, giving the model a current picture of UK market conditions rather than a weekly snapshot.
Volatility and correlation patterns are reassessed against the live data set, and recommendations are adjusted when conditions shift beyond set thresholds.
Every change, along with the reasoning behind it, is compiled into a morning report. The complexity stays with the engine; the summary stays with you.
Representative visualisation of back-tested model behaviour under varying volatility conditions. Not a forecast of future returns.
Before any model change reaches live recommendations, it is run against historical UK market data spanning multiple volatility regimes, including periods of rate shifts and currency movement.
This process does not eliminate market risk. It is designed to keep decision-making consistent and documented, rather than reactive.
Crimenovels was built on a simple premise: most time-poor investors do not need more information, they need less of it, delivered with more precision. The platform exists to filter noise, apply consistent modelling, and report outcomes plainly.
We do not promise outsized returns or guaranteed outcomes. What we provide is a disciplined, data-driven process and a clear daily view of how that process is performing against your objectives.
Read our approach
Account access uses standard encryption in transit and at rest, and data integrity checks run continuously against the ingestion pipeline. We do not store card or banking credentials directly within the platform's modelling layer.
Liquidity terms depend on the underlying instruments within your plan. The daily report includes a liquidity summary so you always know how quickly a position could be unwound if required.
Model outputs are generated automatically, but risk flags and significant allocation changes pass through a review step before they take effect. Automation handles volume; review handles judgement.
The risk engine widens its monitoring frequency automatically when volatility rises, and the morning report will flag any positions approaching their defined risk threshold.
Join the waiting list to receive your first sample report and see how the daily summary reads before committing to anything further.
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