Sparelsik AI-powered data analysis that supports investment decisions
AI-powered investment analysis

Maximize your return with AI-powered analytics.

SEK 0 in brokerage. 100% precision. Sparelsik combines predictive data analytics with a royalty-free platform to give your investments a technological edge.

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SEK 0 In brokerage per transaction
24/7 Automated risk monitoring
The noise of the market

Human capacity is not enough for today's amount of data.

Global markets generate millions of data points every minute. News, order flows, interest rate announcements and sentiment changes occur in parallel, in different time zones and in different formats. An individual trustee, or a parent managing their own savings in the evenings, can reasonably only process a small fraction of this.

The result is decisions based on gut feeling rather than pattern. At the same time, the return is gradually eroded by fees that are rarely seen in a single transaction but which accumulate over years. Brokerage, spread and management fees take their share regardless of how the market moves.

1–2%

An annual fee of that order of magnitude can, over a savings horizon of several decades, correspond to a significant proportion of the final capital — purely because of the interest-on-interest effect that does not occur.

The platform

Three components behind each recommendation.

01

Predictive modeling

The algorithms identify statistical patterns in historical and ongoing data, often before they appear in pricing. The models are continuously updated against new market data.

02

Zero fee structure

No brokerage, no hidden transaction costs. You keep the entire return generated, which particularly favors savings with a long time horizon.

03

Real-time optimization

The risk exposure is automatically adjusted around the clock based on the market situation, without you having to monitor positions manually.

Method

From raw data to completed placement — in three steps.

01

Data collection

The system pulls in structured and unstructured data from global sources: price movements, reports, macro indicators and news feeds, around the clock.

02

AI analysis and risk adjustment

Patterns are weighed against historical volatility and current risk appetite. The model suggests a position that balances potential return against downside.

03

Execution without fees

The deal is carried out directly in the platform, without brokerage. You don't have to actively follow the market for the management to work.

The entire process is designed for hands-off management — suitable for parents and professionals who want to build capital without taking time away from everyday life.

Application

Two common scenarios among our users.

Sparelsik illustration of long-term child savings without fees
Long-term savings

Child savings with full interest-on-interest effect

When a savings account is opened at the birth of the child and held for 15-18 years, fees have a big influence on the final sum. By eliminating brokerage, each deposit can operate without friction during the entire savings period.

The AI ​​model adjusts the risk level gradually when the savings horizon is shortened, without a guardian needing to monitor the market continuously.

Risk management

Proactive risk assessment rather than reactive selling.

Risk reduction

Protection against market volatility

In the event of sudden price movements, many private savers act emotionally — often too late. The AI ​​system continuously monitors risk indicators and reduces exposure before volatility fully hits the portfolio.

The decision is made on data rather than on news headlines, reducing the likelihood of panic selling at the wrong time.

Questions and answers

Common questions before the decision.

How can it be free?

Our revenue model is based on institutional liquidity flows, not on charging private savers. This allows you to trade without brokerage or hidden fees.

How secure is the technology?

We use bank-grade encryption and proven algorithms. The infrastructure is built to handle sensitive financial data in accordance with current industry standards.

How does AI logic work in practice?

The models are trained on historical and ongoing market data to identify recurring patterns. Each recommendation is weighted against the current risk level before it is executed, and the model is continuously updated in line with new data.

Let AI handle the analysis. Keep the entire profit.

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