Ulfryka Spenqor combines dollar-cost averaging with machine learning models that continuously evaluate favorable entry points. You decide the framework, the system does the analysis work.
Many people who want a passive income from investments basically know what they should do: spread their purchases over time instead of trying to time the market perfectly. The challenge is that it requires regular follow-up of courses, volume and news - something most people simply do not have time for on the side of work and family.
Ulfryka Spenqor is built to take over this part of the work. Predictive analysis goes through large amounts of market data and identifies periods that historically have been more or less favorable for purchases, within the limits you have set yourself.
We believe that advanced analysis does not have to be incomprehensible. Ulfryka Spenqor is built as a decision support tool: the models calculate probable entry points, but you always set the limits for amount, frequency and risk level.
The platform is not a guarantee of returns – no analysis can predict the market with certainty. It is a tool that reduces the work of manual monitoring and makes the average cost effect more accurate than with fixed, calendar-controlled purchases.
The method is based on classic dollar-cost averaging (DCA), but with one important addition: the timing of each purchase within the period is optimized by the model instead of following a fixed date.
The system retrieves and processes market data continuously – price development, volume and volatility – to build an updated picture of the market state.
Instead of buying on a fixed date each month, the model considers several possible times within the period and chooses the one that historically provides better entry conditions.
Once your parameters are set, the purchases are automatically made within the limits you have defined. You can follow along, but you don't have to click for every transaction.
The models consider historical patterns and current market conditions to estimate which periods have proven more favorable for purchases, without promising a specific outcome.
You set upper and lower limits for amount and exposure. The system stays within these limits and alerts in the event of deviations from normal market activity.
All reviews and purchases made are logged and displayed continuously, so you can see why an action was taken and when it happened.
All communication between you and the platform is encrypted, and access to account settings requires a separate login with limited rights management internally. We gradually build on the security routines as the platform is developed.
We only collect the data that is necessary to operate the service and fulfill Norwegian and European privacy requirements. Information is not shared with third parties for marketing purposes.
No. The cost averaging effect reduces the risk of buying everything at a bad price at one time, but it does not remove market risk. Predictive analytics improves the probabilities, not guarantees the outcome.
No. The interface explains the terms where they are used, and you only set general frameworks such as amount and period. The model handles the technical assessments.
Yes. You can change the amount, frequency and risk limits, or pause the automation, whenever you want from the account settings.
You choose how much to set aside per period, and can adjust or end the automation whenever you want. There is no obligation to lock in capital over a fixed period of time.
Get started now