Data-led analysis for considered investors
Sophisticated Data Analysis for Stable Investment Growth
Harnessing 30 years of backtested market data to help Australian retirees navigate volatility with precision and institutional-grade risk management.
Data-led analysis for considered investors
Harnessing 30 years of backtested market data to help Australian retirees navigate volatility with precision and institutional-grade risk management.
The Foundation
Retirees rarely need another forecast of where markets are headed next. What matters more is understanding how a given strategy behaved when conditions turned difficult. AI-Pro-App was built around that distinction: rather than predicting the future, the platform analyses three decades of market cycles to see how portfolios of varying composition responded to inflation shocks, rate rises and periods of prolonged uncertainty.
This is advanced pattern recognition, not speculation. The system draws on comprehensive market history — equities, bonds, currencies and commodities — to identify the conditions under which capital was preserved, and those under which it was not. The result is a framework for strategic optimisation that favours resilience over short-term upside.
How consistently a strategy held its value across multiple, unrelated periods of stress — not just the most recent one.
Adjusting an allocation's composition in response to changing conditions, rather than reacting to short-term price movement.
Distinct multi-year periods — expansion, contraction, recovery — used as the basis for comparing strategies fairly.
The Process
The platform is designed to be transparent about how it reaches a view. Each stage below narrows a large volume of historical information down to something a person can actually weigh up alongside their own circumstances.
Each trading day, the platform draws in pricing, volatility and macroeconomic data across major asset classes, going back to 1990. Periods of sharp decline are weighted the same as periods of steady growth, so the model isn't flattered by favourable markets alone.
Historical patterns are scored against a retiree-oriented risk framework — one that weighs drawdown severity and recovery time more heavily than raw return. A strategy that grew quickly but fell sharply in 2008 or 2020 is scored differently from one that grew more slowly but held its ground.
The output is a written report, not a single signal. It sets out what the historical evidence suggests, where that evidence is thin, and what questions to raise with a financial adviser. The platform is built to inform a decision a person makes, not to make it for them.
The Evidence
Our algorithms are tested against every major market event since 1990, from the 1997 Asian financial crisis to the 2008 credit crisis and the 2020 pandemic downturn, to check whether the underlying logic holds during periods of stress rather than only in calmer conditions.
Performance is assessed relative to the volatility taken on, not in isolation, so a smoother path to a similar outcome is treated as the stronger result.
Every backtest records the deepest decline a strategy would have experienced and how long recovery took, as a measure of what holding it through a downturn would have felt like.
Strategies are benchmarked against a rolling measure of market turbulence, allowing allocations to be reviewed as conditions shift rather than held rigidly regardless of environment.
Past market behaviour is analysed to understand how strategies have historically responded to periods of stress; it is not a guarantee of future performance. All modelling is provided for informational and educational purposes and does not constitute personal financial advice.
Next Step
Request a detailed whitepaper covering our 2024 predictive outlook and the methodology behind it. There is no obligation, and no access to your accounts is required to receive it.