Rekenterij data analysis visualization for asset management

Wealth Preservation through Intelligence

Rekenterij translates decades of market data into clear, substantiated insights. AI-powered backtesting shows how strategies have behaved under pressure in the past, so you can make decisions with greater confidence in volatile markets.

Discover the Methodology

The models shown analyze historical market cycles over several decades and recalculate scenarios with each new market move.

Context

Markets have become more complex than fifteen years ago

Anyone who manages their own assets has to process a stream of news, price movements and opinions every day. That makes it difficult to distinguish between noise and signal.

  • Emotional decisions under the pressure of price fluctuations often lead to wrongly timed exits.
  • The amount of available market data is too large to analyze consistently manually.
  • Advisory reports are often generic and do not take sufficient account of your specific risk profile.

The function of Rekenterij in this process

Rekenterij filters this noise by recognizing statistical patterns in long-term data and testing them against your own portfolio. The result is not a prediction, but a clear overview of probabilities on which you can base your own decision.

Technology

Instruments that were previously only available from institutional parties

The underlying models are based on techniques used in the B2B financial sector for risk modeling. Rekenterij has simplified this into a clear instrument for personal asset management, without losing the analytical depth.

Control

Risk management

Each recommendation is tested against your risk profile. The model takes into account maximum drawdown and spread, so that stability remains paramount over short-term returns.

Current affairs

Real-Time Insights

Market data is continuously processed. If circumstances change significantly, you will receive a signal with an explanation, so that you can assess in a timely manner whether adjustments are necessary.

Method

How Historical Validation is achieved

The methodology rests on three steps. The goal is not to predict the future, but to calculate the probability of different outcomes as accurately as possible based on what has happened before.

01

Data intake

Historical price data, interest rates and macroeconomic cycles from the past decades are structured and cleaned for analysis.

02

Backtesting

Strategies are backtested against multiple market periods, including corrections and recoveries, to see how they have behaved under pressure.

03

Optimization

Based on the test results, parameters are refined so that the recommendation matches your risk profile and investment horizon.

Applications

Practical use within asset management

The models are intended to support concrete decisions, not as quick profit opportunities. The scenarios below illustrate how users typically apply the insights.

Optimal diversification during market volatility

The model analyzes how different asset combinations have historically behaved during periods of increased uncertainty and recommends diversification that matches your objective.

Timing of market exit

Historical patterns provide insight into when a phased reduction of positions has been statistically more favorable than an abrupt sale.

Dividend income optimization

For those dependent on periodic income, the model shows which combinations of dividend stocks historically produced more stable cash flows, including the associated risks.

Rekenterij analysis environment for asset management

A tool, not a substitute for your judgment

Rekenterij was developed for people who want to maintain control over their assets, but want to be supported by data instead of gut feeling.

The platform presents scenarios with underlying figures and their historical basis. The final choice, including consideration of personal circumstances, always remains with you.

This starting point is deliberate: a model can recognize patterns, but does not take your life situation into account. This combination of technology and human judgment forms the core of the working method.

Transparency

Frequently asked questions

A number of questions that we often see, with a direct answer without detours.

How is my financial information handled?

Data is stored encrypted and only used to perform analysis for your own portfolio. There is no sale or sharing with third parties for commercial purposes.

Is the algorithm transparent, or a closed black box?

For each recommendation, the platform shows the underlying historical period and the most important variables on which the calculation is based. So you not only see the advice, but also the reasoning behind it.

What does the onboarding process look like?

After registration, you first map out your current portfolio and risk preferences. Based on this, the system draws up an initial analysis, which you can discuss with an advisor before taking further steps.

Ready for a data-driven future?

Combine the tranquility of proven historical patterns with tools previously only available to institutional investors. You remain in control; Rekenterij provides the substantiation.