Zelmarek Quntrivo — technical visualization of data cluster and analysis model
AI-powered data analysis

Maximize returns through AI-powered data analysis.

Zelmarek Quntrivo backtests each strategy against ten years of historical market data before activating. Decisions are based on patterns in numbers — not gut feeling, news flow or market anxiety.

Start analysis now No daily monitoring is required
The challenge

The amount of data is increasing faster than the ability to interpret it.

An average investor encounters thousands of data points every day: quotes, reports, key figures, sentiment in the news feed. Manual processing requires hours that are rarely available alongside a regular job.

The result is deferred decisions or decisions made on incomplete basis. Time is the highest cost in any investment decision — not brokerage, not utility cost.

Zelmarek Quntrivo — structured data analysis and model building
About Zelmarek Quntrivo

Built for those who invest on the side.

Zelmarek Quntrivo is designed for people with limited time but a clear goal: returns that do not require daily attention. The platform combines historical backtesting with ongoing data analysis and provides a concrete decision basis instead of a guess.

Each recommendation can be traced back to a tested strategy and a measurable historical outcome, including periods of decline.

01
Backtesting

Backtesting against ten years of market data

Each strategy is run against historical price movements, volume data and major market events from the last ten years before being activated in a portfolio. The result shows how the strategy had performed through previous upswings, downswings and sideways markets — not just in a favorable scenario.

02
Real time

Real-time optimization with low latency

The model processes incoming market data continuously and adjusts positions within seconds after a relevant pattern is identified. Execution takes place before a manual decision has time to formulate, which reduces the gap between signal and action.

03
Risk

Algorithmic risk management

Each position is assigned a stop-loss level calculated based on current volatility, not a fixed percentage. Capital is automatically allocated across asset classes to limit exposure to a single event or market.

How it works

From connection to execution in three steps.

Step 01

Connect your data sources

Connect bank, broker or depot via secure integration. No manual export of rate lists or transaction history is required.

Step 02

AI identifies patterns

The model analyzes historical and ongoing data to find relationships that are difficult to see manually — correlations between assets, seasonal patterns and deviations in volume.

Step 03

Get recommendation or automate

Each pattern is converted into a concrete recommendation. Review the proposal manually or let the system execute the order within preset limits.

Transparency

Common technical questions.

How are data security and GDPR handled?

All data is encrypted during storage and transmission. Personal data is processed according to the GDPR, and no information is shared with third parties without express consent. Raw data is stored within the EU.

How is the historical accuracy calculated?

Each strategy is tested against ten years of daily rate data through a rolling validation method, where the model is never exposed to future data during the test period. Results are reported after fees and simulated spread, not as gross return.

Which platforms can be integrated?

Zelmarek Quntrivo connects to most Swedish and European brokers via API, as well as to account statements in standard formats such as CSV and OFX. The integration normally takes less than ten minutes.

Make smarter decisions today.

Every day without analysis is a day with incomplete decision-making information.