AI portfolio analysis, precision-engineered, ready in under 60 seconds

Andperry converts market volatility, tax wrappers and personal risk tolerance into a single, quantitatively validated strategy — built for families planning decades ahead, not just the next quarter.

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FCA-aligned data handling 256-bit AES encryption GDPR-compliant infrastructure

Live Analysis Snapshot

Portfolio scenarios modelled2,438
Projected volatility band±4.2%
Diversification score8.7 / 10
Setup time remaining00:47
How it works

A one-click setup, with the modelling done quietly underneath

  1. Share your starting position

    A short intake captures existing holdings, time horizon and liquidity needs — no spreadsheets, no manual data entry.

  2. The model digests current conditions

    Andperry ingests live market data and historical volatility patterns, then maps them against your stated risk tolerance.

  3. A strategy is proposed in seconds

    You receive a single recommended allocation, with the reasoning behind it shown in plain terms rather than raw model output.

  4. Review and confirm

    Nothing is actioned automatically without your confirmation. You retain full control over when capital is deployed.

What you see on screen: a single summary panel showing your proposed allocation across asset classes, an estimated risk band, and a plain-language explanation of why that balance was chosen for your time horizon. The underlying time-series forecasting and scenario testing runs in the background — you are never asked to interpret a model output directly.

Because the complexity is handled by Andperry, the interface itself stays intentionally sparse: one decision, one confirmation, one outcome.

Data integrity

Institutional-grade benchmarks, reported without rounding up

Andperry is built on the principle that a family's long-term plan deserves the same data rigour as an institutional mandate. The figures below describe the platform's own internal benchmarks, not a prediction of personal returns.

91.4% Directional accuracy, 90-day backtest
<80ms Processing latency per 10,000 data points
2,400+ Scenario simulations per session
4 hrs Recalculation cycle for rebalancing triggers

These benchmarks come from continuous testing against licensed historical market feeds and are recalculated quarterly, not marketing estimates generated once and left unchanged.

Data source transparency: market data is sourced from licensed providers and processed under historical and live-feed conditions. Backtested accuracy reflects past data and does not guarantee future performance; all projections should be read as model outputs, not promises.
Risk management

Where manual review runs out of hours, the model keeps checking

Decision factor Standard manual analysis Andperry AI optimisation
Time to produce a strategy 2–5 hours, typically spread over several sittings Under 60 seconds
Data points considered Limited to what can be reviewed manually, usually under 20 variables Several thousand, including macro and volatility signals
Rebalancing frequency Quarterly or annual review, if scheduled at all Recalculated every 4 hours against live conditions
Diversification depth Constrained by familiarity with available instruments Modelled across a broader instrument set by default
Risk exposure monitoring Reactive, after a statement or news event Continuous, with threshold-based alerts

Conservative

Prioritises capital preservation with narrower volatility bands, suited to shorter time horizons or lower risk tolerance.

Balanced

Blends growth and stability assets, recalibrated as market conditions and personal circumstances shift.

Growth-focused

Weighted toward longer horizons, accepting wider short-term swings in exchange for compounding potential.

Optimisation logic: allocations are derived from a mean-variance framework adjusted by predictive volatility bands, with Bayesian updating applied as new market data arrives. Rather than optimising once and leaving a portfolio static, the model re-weighs its own confidence intervals on a rolling basis and flags drift beyond your chosen risk tier.

Methodology

The modelling behind a single recommendation

  • Time-series forecasting, blending statistical and machine-learning methods, used to project short and medium-term volatility.
  • Bayesian inference applied to detect regime shifts, so the model updates its confidence as conditions change rather than assuming a fixed market state.
  • Monte Carlo stress-testing across thousands of simulated paths, used to estimate the likely range of outcomes rather than a single figure.
  • Continuous recalibration against live market feeds, replacing the quarterly review cycle typical of manual advisory processes.
Data in transit and at rest is protected with 256-bit AES encryption. Infrastructure is governed under FCA-aligned data handling practices and GDPR requirements, with periodic independent penetration testing of core systems.
Andperry analysts reviewing predictive portfolio models
Frequently asked

Questions families ask before starting

How does Andperry protect my data?

All personal and financial data is encrypted in transit and at rest using 256-bit AES standards. Access to underlying systems is restricted and logged, and our data governance follows FCA-aligned practices alongside UK GDPR requirements.

Can I access my capital at any time?

Yes. Andperry provides analysis and recommendations; it does not lock your capital into fixed terms. Liquidity depends on the specific instruments within your chosen allocation, which are disclosed clearly before you confirm any strategy.

What happens if markets move suddenly?

The model recalculates on a rolling four-hour cycle and flags material drift from your chosen risk tier. You are notified of the recommended adjustment; nothing is rebalanced automatically without your confirmation.

Do I need investment experience to start?

No prior experience is required. The intake process asks about your circumstances and goals in plain language, and the resulting recommendation is explained without requiring you to interpret raw model output.

How is a 60-second setup possible given the complexity involved?

The speed comes from automation, not simplification. The underlying time-series forecasting and scenario testing run continuously in the background; what takes seconds on screen represents modelling that would take hours to replicate manually.

Set up your portfolio analysis in under 60 seconds

Most families complete setup in under a minute, with no obligation to commit capital immediately. Secure your family's future with data-driven precision today.

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