Ruim Vermoveld links your investment data, calculates your risk profile and presents a substantiated allocation before you have poured a second cup of coffee. No days of research, no jargon — just a clear, data-driven recommendation you can rely on.
Market data is constantly changing, while most investors only review their allocation a few times a year. That gap between available information and available time often leads to decisions that lag behind reality.
The process has been deliberately kept short: every step can be followed and checked before confirming anything.
Link your bank or investment account via a secure, read-only connection. Nothing is transferred automatically.
The model assesses your current allocation against current market data and calculates your risk profile within seconds.
You will receive a substantiated proposal and activate the recommended allocation with one confirmation, at your own time.
No abstract promises about "big data", but concrete explanations of what the analysis yields and how it adapts to your situation.
The model processes historical and current market data to recognize patterns that are difficult to discover with manual analysis. The outcome is not a raw data set, but a concrete proposal that is tailored to your current position.
When market conditions shift, the system recalculates whether your allocation still fits the risk level you have indicated. You will receive a notification as soon as adjustment is useful, not with every minor market movement.
The model learns from previous choices and how you respond to previous proposals, so that future recommendations better match your preferences and risk appetite.
Ruim Vermoveld was developed based on the idea that thorough portfolio analysis does not have to be reserved for those who make time for it every day. We combine data analysis, predictive models and risk management in one platform that makes a substantiated proposal within a minute.
The result is not a black box: each recommendation can be traced back to the underlying data and the logic that led to that choice, so that you understand why a certain allocation is proposed.
Instead of return claims or testimonials, we show how the model makes a recommendation and how your data is treated.
Each advice is tested against multiple market scenarios before it is presented to you. Only recommendations that pass this validation are shown.
Links to external accounts are made via encrypted, read-only connections. Your data will only be used to carry out the analysis for you personally.
Recommendations are continuously measured against the risk level you have specified, with the aim of identifying deviations in a timely manner rather than maximizing returns.