Linrad Zalvin continuously evaluates market data using artificial intelligence and provides a comprehensible basis for decision-making - without transaction, administration or success fees. 100% of the return achieved remains with you.
Over decades, ongoing management and performance fees significantly reduce actual asset growth, even if the underlying investment strategy is sound. In addition, many classic analyzes are based on periodic, manual checks, which only reflect market changes with a delay.
Linrad Zalvin takes a different approach: the analysis is automated, continuous and without a fee model. This means that the entire return achieved remains with the investor, while the technical basis of the decisions remains visible at all times.
| feature | Classic asset management | Linrad Zalvin |
|---|---|---|
| Administrative fee | Fixed annual fee on the assets under management | No administration fee |
| Profit sharing | Additional participation in the return achieved | No participation – 100% remains with the investor |
| Analysis frequency | Periodic, manual testing | Ongoing, automated analysis |
| Data storage | Partly with external third-party administrators | Exclusively in Switzerland |
The methods used come from statistical analysis and machine learning. Below is a classification of the four central components in understandable language.
Historical and current market data is evaluated to calculate probabilities of future price movements. The result is not a guarantee, but rather a statistically sound basis for decisions.
Volatility and correlations between asset classes are continually monitored. If the system detects a concentration on a few risk factors, an adjustment is suggested for better diversification.
Market data is continuously imported and processed. Relevant changes are detected within a short period of time without having to wait for periodic reports.
The infrastructure is designed to work reliably regardless of the size of the positions analyzed - from individual portfolios to more extensive portfolios.
Transparency about the process is an essential part of the fee-free model. The following steps explain how market data can be used to create a concrete basis for decision-making.
Structured and unstructured market data from publicly available and licensed sources are centrally merged and cleaned.
Statistical models and machine learning identify patterns and deviations that would be difficult to detect in the sheer volume of data.
From the recognized patterns, the system derives concrete, prioritized recommendations that are clearly justified and can be followed at any time.
For investors in retirement, protecting capital is a priority. The following points describe how Linrad Zalvin handles data and responsibilities.
All customer data is stored and processed exclusively on servers in Switzerland. A transfer to third parties takes place exclusively within the scope of the contractually agreed purposes.
Data transmission and storage are encrypted according to current industry standards. Accesses are logged and checked regularly.
Linrad Zalvin does not manage customer funds. Your capital remains with your custodian bank at all times; The operation is based on the requirements of the Swiss Data Protection Act (DSG).
Yes. Linrad Zalvin does not manage customer funds or maintain its own accounts. Your capital remains with your custodian bank at all times and you decide on each transaction yourself.
The models provide probability-based assessments based on large amounts of data. They do not replace a guarantee, but rather support informed decisions. Each recommendation is documented with the underlying factors so that it remains traceable.
Linrad Zalvin deliberately waives transaction, administration and performance fees. This means that 100% of the return achieved remains with the investor. We would be happy to explain details about the structure of the offer personally in the initial consultation.