Orol Inwstec evaluates market data in real time and supports you with clear recommendations. What's special: There are no trading fees, so your capital will work undiminished for your family for decades.
No custody fees, no order commissions – regardless of the investment amount or trading frequency.
The platform combines statistical models with machine learning to classify market movements and make risks visible at an early stage - comprehensibly and without hidden assumptions.
Price, interest and market data are processed continuously. Changes in your portfolio are recognized and classified within minutes, not the next trading day.
Each recommendation is provided with an assessment of the fluctuation range and loss potential. In this way, the risk of a portfolio can be specifically adapted to the living situation of a family.
The system derives concrete options for action from the data – such as redeployments or holding positions. The final decision always remains with you.
Orol Inwstec was developed for households that want to build up their assets in a structured manner over years. The analysis does not replace advice, but rather provides the data basis on which well-founded decisions can be made.
Classic depot models charge ongoing management fees and order commissions. Over an investment period of ten to twenty years, this effect adds up noticeably because the fees are deducted not only from the capital invested, but also from its increase in value.
With Orol Inwstec these costs are completely eliminated. The difference remains in the portfolio and acts as an additional compound interest effect over time - an advantage that is particularly noticeable when saving for the long term for education or retirement.
Illustrative representation of the effect of ongoing fees on capital preservation over a multi-year investment horizon. Actual values depend on the investment amount, holding period and market development.
Every analysis step is clearly documented. The AI takes over the evaluation, the decision is yours.
Price, interest and economic data from regulated sources are continuously collected and checked for consistency before being incorporated into the analysis.
Statistical models identify recurring market patterns and assign the current situation to historical trends.
The recognized patterns create a concrete, justified option for action, which you examine and implement independently.
The following examples show how the analysis is applied to specific savings goals.
For a savings goal with a fixed time horizon - such as when a child starts college - the analysis suggests a portfolio structure that focuses on growth in the first few years and gradually shifts into lower-risk investments as the target date approaches.
This can prevent an unfavorable market downturn shortly before the money is needed from jeopardizing the savings goal.
For long-term savings plans over several decades, the analysis regularly checks whether the weighting between growth and stability still fits the remaining time until retirement.
Since there are no ongoing fees, the entire increase in value is retained in the portfolio and contributes to achieving your goals.
Create a free account and receive an initial assessment of your portfolio based on current market data.