Nordquellin analyzes market and price data in real time and distributes capital investments according to a rules-based dollar-cost averaging model with predictive entry logic - instead of fixed intervals or manual individual decisions.
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Many medium-sized companies keep reserves in current or fixed-term deposit accounts because there is a lack of capacity for active investment management. At the same time, the volatility of the markets makes manual entry planning difficult - incorrect timing often costs returns than a consistent, rule-based strategy.
Nordquellin was developed for companies that do not want to use capital speculatively, but rather methodically: with comprehensible rules instead of gut decisions.
Example model calculation to illustrate the principle, not a forecast for specific returns.
Classic dollar-cost averaging invests at fixed intervals regardless of market conditions. Nordquellin complements this principle with a forecast model that prioritizes entry times within defined time windows based on data.
Price, volume and volatility data is continuously aggregated from multiple market sources.
A statistical model identifies short-term price distortions relative to the moving average.
Within the planned investment interval, the use of capital is postponed to more favorable times and is not completely suspended.
Each execution is documented with time, course and justification and can be viewed in the dashboard.
| time | signal | Action |
|---|---|---|
| 09:14 | Deviation −1.8% | Partial execution |
| 11:02 | Deviation −0.3% | Wait |
| 13:47 | Deviation −2.1% | Partial execution |
| 3:30 p.m | Time window end | Remaining capital used |
Every strategy works within clearly defined limits. These are determined together with the company before activation and can be adjusted in the dashboard at any time.
| Parameters | Function | Example value |
|---|---|---|
| Position cap | Maximum capital share per individual execution | ≤ 15% |
| Volatility threshold | Pauses executions in the event of extreme price fluctuations | configurable |
| Rebalancing interval | Testing frequency of portfolio weighting | every 4 hours |
| Stop criterion | Automatic pause if rules are broken | immediately |
| Diversification limit | Maximum share of a single value in the portfolio | configurable |
If a parameter is violated, execution is stopped and is not automatically reevaluated or overridden.
The strategy remains within the framework set during onboarding, extensions require renewed approval.
Every adjustment to the risk parameters is documented with a time stamp and person responsible.
The configuration differs depending on the time horizon and liquidity needs - not on the size of the company alone.
A company holds reserves for seasonal fluctuations and needs short-term access to some of the capital. The strategy works with a smaller position size, shorter time windows and a more conservative volatility threshold in order to keep liquidity predictable.
Returns can be released again in fixed partial amounts without completely interrupting the ongoing strategy.
A company builds up structured reserves over several years, for example for future investments or succession planning. Here, the longer time horizon allows larger time windows for entry management and broader diversification across several asset classes.
Rebalancing occurs in longer cycles because short-term fluctuations are less relevant to the overall goal.
Instead of testimonials, we reveal the basics of decision-making. Companies receive insight into the relevant regulations before the contract begins.
Price, volume and spread data from regulated trading venues, updated every minute.
Additional data points such as interest rates and liquidity indices are included in the weighting of the time windows.
Historical execution data is used for model validation, not for retroactive adjustment of current positions.
The model evaluates the current price deviation relative to a moving reference value. If the deviation exceeds a defined threshold, part of the planned capital deployment is carried out. If the time window remains without a sufficient signal, execution occurs at the regular end of the interval.
If the volatility exceeds the specified limit, execution pauses automatically. A resumption will only occur when market conditions are within the defined parameters or after manual approval.
The underlying thresholds are reassessed at regular intervals based on current market data. Changes to the limit values applicable to your company will only be made with prior notification.
All executions, justifications and parameters can be viewed in real time via the dashboard. A weekly report also summarizes key figures in writing.
In the first step, we clarify whether an automated investment strategy fits your time horizon, your liquidity planning and your risk tolerance. System activation only takes place after the parameters have been jointly determined.
Request a system demoNordquellin is an analytics and decision support platform. The values presented are illustrative and do not represent investment advice or a guarantee of returns.