Between work, school and family, there is little room for in-depth investment research. Ruilentuur continuously analyzes market and company data and translates this into clear, substantiated recommendations, so you can make strategic decisions without spending hours in spreadsheets.
Stock market news, quarterly figures, interest rate reports and sector reports appear faster than one person can process. For an individual investor with a family and a full-time job, it is virtually impossible to structurally maintain this amount of information, let alone draw consistent conclusions from it.
Ruilentuur takes over this processing burden. Our models continuously cycle through the relevant data sources and filter signal from noise, so you receive results instead of reports that you have to interpret yourself.
Every recommendation that Ruilentuur publishes is the result of three components working together. Together they provide well-founded choices instead of isolated signals.
Historical and current data are used to estimate likely developments in prices and market conditions. The models are periodically recalibrated based on new data, so that assumptions do not become outdated.
Each recommendation is tested for dispersion, volatility and concentration risk before it is published. The goal is not the highest expected return, but a responsible relationship between chance and risk.
Market conditions are constantly changing. The system continuously reprocesses incoming data, so that a recommendation is adjusted or withdrawn as soon as the underlying situation changes significantly.
Instead of anonymous success stories, Ruilentuur publishes each recommendation in a running log: the date of publication, the underlying reasoning and the status of the position. Users and the community can consult and monitor this log.
This replaces testimonials with verifiable documentation. A recommendation that does not come true is not deleted — it also remains visible in the logbook, together with the analysis afterwards.
| Date | Category | Status |
|---|---|---|
| 03-02 | Sector allocation | Ongoing |
| 22-01 | Risk reduction | Completed |
| 14-01 | Reweighting bonds | Completed |
| 05-01 | Market-wide coverage | Ongoing |
Ruilentuur takes over the analysis work, not the decision. You retain insight into what is happening and why at all times.
You link your relevant financial data or objectives, so that the analysis is tailored to your situation instead of a generic average.
The system processes market data, risk indicators and historical patterns, and produces a recommendation that is recorded in the public log.
You assess the recommendation and decide yourself whether to implement it. The model then signals when the situation changes and a revision is necessary.
Ruilentuur was created from the realization that professional analysis methods are usually reserved for institutional parties. We make comparable analysis techniques accessible to individual investors, with an emphasis on explainability and verifiability.
No investment advice based on gut feeling, but models that consistently apply the same criteria — even when the market is turbulent and emotional decisions are easiest to make.
Before publication, each recommendation is tested for diversification across sectors and regions, for historical volatility and for the extent to which a position is dependent on a single factor. Recommendations that do not meet the pre-established risk criteria will not be published. The model is designed to avoid emotional bias — such as holding on to losing positions — by remaining strictly based on data.
Data that you link to the platform will only be used to tailor the analysis to your situation. Data is not shared with third parties for commercial purposes. Further details on retention periods and processing are included in our privacy policy.
The platform is intended for individual investors who need substantiated, data-driven insights without analyzing market data themselves on a daily basis. No prior knowledge of technical analysis is required; the recommendations are explained in understandable language.
Registering takes a few minutes. You link your data, receive your first analysis and then decide at what pace you will proceed.