Klar Avkastheten analyzes large amounts of market data and tests strategies against historical trends, so that families and private investors can base long-term choices on a verifiable basis — not on assumptions.
The platform is a decision support tool. It does not replace your own assessment, but provides a clearer data base to assess from.
News images, interest rate changes and short-term fluctuations create a constant pressure of information. For many families and investors, the result is either inaction or decisions made on an incomplete basis.
Klar Avkastheten is built to reduce this noise. By combining historical backtesting with ongoing data analysis, the platform identifies patterns that are stable over time — rather than reacting to every single movement in the market.
The process is divided into three steps, all of which can be tested and explained — none of them is a "black box".
The platform collects and structures market data, historical price trends and relevant economic indicators. This forms the basis for all further analysis.
Proposed strategies are tested against decades of historical market conditions, including downturns. This shows how the strategy would actually perform — not just in theory.
The results from the simulation are adjusted to your time horizon and risk tolerance, and are presented as a concrete, documented recommendation that you can consider further.
Klar Avkastheten was developed with one goal: to make advanced data analysis accessible to ordinary families and private investors, without requiring a financial background.
We emphasize transparency around how the models work, and that recommendations are always traceable back to concrete historical data. The platform is designed to support assessments over years and decades, not to chase short-term results in the market.
The three core features below are built to reduce the amount of information you have to deal with, not increase it.
Market data is continuously updated, and any deviations from the expected course of strategy are flagged automatically. You don't have to monitor the market manually to detect relevant changes.
An overall overview shows how a portfolio is exposed to various market scenarios. The use of color and the layout are deliberately kept calm and structured, so that the dashboard functions as a tool for clarity rather than alarm.
When the backtesting models identify a relevant adjustment, it is presented as a concrete recommendation with associated justification. The final choice is always made by you.
The examples below are illustrative scenarios that show how Klar Avkastheten can be used — not guaranteed results for a specific user.
A family with a time horizon of 15–20 years wants to build a buffer for education and the eventual purchase of a home for the children. By testing several strategies against historical downturns, they can see how different allocations between asset classes would affect value through previous crises.
The result is not a guarantee, but a concrete basis for choosing a distribution the family is comfortable with over time, even when the market fluctuates.
An investor with an established portfolio wants to assess whether the exposure to certain sectors has become too high. The risk management dashboard shows the concentration clearly, and backtesting an adjusted distribution gives a picture of how the change would have played out historically.
Rather than reacting to short-term market movements, the investor gets a documented basis for a gradual, planned adjustment.
Below you will find answers to what we are most often asked about. More details can be found on our full FAQ page.
Financial and personal information is stored encrypted and used exclusively to generate analyzes for your own account. Data is not shared with third parties for marketing purposes, and you can request access to or deletion of the information stored at any time.
The recommendations are based on backtesting against historical data, but historical development is not a guarantee of future returns. The platform is designed as a decision support tool that supplements, not replaces, your own assessment of risk and objectives.
Onboarding starts with you describing the time horizon, goals and current situation. The platform then builds an initial analysis based on this information, which you can adjust along the way. No prior knowledge of data analysis or financial modeling is required.
Take the first step towards a strategy tested against historical data, not just based on assumptions about the future.
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