Prulkovizan evaluates extensive market data and translates the results into understandable, historically tested strategies - especially for families who want to plan their finances with foresight instead of gut feeling.
Start your free analysisInterest rate decisions, inflation data, geopolitical events: the amount of information that affects investors every day has long since exceeded what a single person can meaningfully evaluate in their part-time job. Many families therefore make investment decisions more out of habit than analysis.
The result is often portfolios that match neither the risk appetite nor the actual time horizon.
Our systems filter relevant patterns from large amounts of data and check each strategy derived from it against several decades of historical market trends before it is issued as a recommendation.
Both methods work together: one evaluates the past, the other observes the present. Together they create a basis on which long-term decisions can be made more calmly.
Every strategy that Prulkovizan proposes is first simulated against several decades of market data. This makes it possible to understand how an approach would have behaved in different market phases - before the first real application.
The goal is not to predict individual price movements, but to assess how robust a strategy has been across different cycles.
Example representation of a backtesting process over several market cycles.
In parallel to the historical analysis, the AI continuously monitors global market indicators - from interest rate developments to volatility metrics. If the current market situation deviates significantly from the assumptions of a strategy, this is made visible.
This creates a system that not only looks at the past, but also classifies current developments before they have a greater impact on a portfolio.
Example representation of ongoing risk metrics over time.
Transparency is part of the methodology itself. The following three steps show how raw data becomes a comprehensible recommendation for your family.
Price, interest and economic data from publicly accessible and licensed sources are continuously brought together and structured.
Models identify recurring patterns and examine possible strategies against historical data before making a recommendation.
The results are presented in an understandable manner and serve as a basis for your own decision - not as a replacement for it.
Instead of following news and prices every day, you receive structured evaluations when something actually changes in your strategy.
Forward-looking metrics help adjust portfolios early, before adverse market conditions have a full impact.
The focus is on stability and compound interest effects over years - not on short-term price gains.
Prulkovizan was developed with the aim of making complex financial data accessible to retail investors without obscuring the underlying methodology. Each recommendation can be traced back to its historical basis.
The platform is aimed at families who want to put their retirement provision and wealth planning on a reliable, comprehensible basis - in addition to their own advice, not as a replacement for it.
You can find a more detailed overview on our FAQ page. Here is an overview of the three most frequently asked questions.
All data is processed in accordance with German data protection standards and used exclusively to create your personal analysis. It will not be passed on to third parties for advertising purposes.
Each strategy is tested against historical market data before publication. This feedback is not a guarantee of future results, but shows how an approach would have performed in past market phases.
After a free initial analysis of your financial situation, you will receive a structured overview of possible strategies. A personal conversation will then clarify any open questions.
No obligation. Transparent methodology.