Nordquellin analysis platform – visualization of market data and liquidity flows
Data-driven capital management

Automated entry control for unused corporate liquidity

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.

No automatic account linking without prior approval. Initial consultation without obligation.

Example representation – no real-time value
Data points analyzed / day~40,000
Average position sizeconfigurable
Rebalancing check interval4 hours
Initial situation

Liquid assets lose value if they remain unused

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.

  • Daily interest rates are often below the inflation rate.
  • No internal resources for daily market monitoring.
  • Individual wrong decisions in the event of price fluctuations have serious consequences.
  • A lack of documentation makes it difficult to trace decisions internally.
illustration

Capital utilization in comparison

Interest-free liquidity reserve22%
Strategically managed capital78%

Example model calculation to illustrate the principle, not a forecast for specific returns.

How it works

Predictive entry points instead of rigid intervals

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.

1

Data collection

Price, volume and volatility data is continuously aggregated from multiple market sources.

2

Pattern recognition

A statistical model identifies short-term price distortions relative to the moving average.

3

Weighted execution

Within the planned investment interval, the use of capital is postponed to more favorable times and is not completely suspended.

4

Logging

Each execution is documented with time, course and justification and can be viewed in the dashboard.

  • Rule based: Decisions follow defined thresholds, not discretionary decisions on a case-by-case basis.
  • Time window limitation: Postponements remain within a pre-defined period to limit timing risk.
  • Model updates: Parameters are periodically checked based on new market data and are not readjusted manually.
  • Transparency: Each position is traceable to the underlying rule.
Dashboard preview (example) Active
timesignalAction
09:14Deviation −1.8%Partial execution
11:02Deviation −0.3%Wait
13:47Deviation −2.1%Partial execution
3:30 p.mTime window endRemaining capital used
Risk management

Limited parameters instead of unlimited market exposure

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.

ParametersFunctionExample value
Position capMaximum capital share per individual execution≤ 15%
Volatility thresholdPauses executions in the event of extreme price fluctuationsconfigurable
Rebalancing intervalTesting frequency of portfolio weightingevery 4 hours
Stop criterionAutomatic pause if rules are brokenimmediately
Diversification limitMaximum share of a single value in the portfolioconfigurable
  • Pausing instead of overcontrol

    If a parameter is violated, execution is stopped and is not automatically reevaluated or overridden.

  • Fidelity to mandate

    The strategy remains within the framework set during onboarding, extensions require renewed approval.

  • Traceable protocols

    Every adjustment to the risk parameters is documented with a time stamp and person responsible.

Application scenarios

Two typical starting situations in medium-sized companies

The configuration differs depending on the time horizon and liquidity needs - not on the size of the company alone.

Scenario A

Short-term liquidity reserve

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.

Typical time horizon3-9 months
Position sizelow
Liquidity accessplanned, staged
Scenario B

Long-term reserve building

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.

Typical time horizon3-7 years
Diversificationbroader
Rebalancing cyclemonthly
Methodology & Transparency

Where the data comes from and how decisions are made

Instead of testimonials, we reveal the basics of decision-making. Companies receive insight into the relevant regulations before the contract begins.

Market data

Price, volume and spread data from regulated trading venues, updated every minute.

Macro indicators

Additional data points such as interest rates and liquidity indices are included in the weighting of the time windows.

Execution logs

Historical execution data is used for model validation, not for retroactive adjustment of current positions.

How is the entry point within a time window determined?

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.

What happens when there are strong market movements outside of expectations?

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.

How often are the model parameters checked?

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.

In what form do we gain insight into current positions?

All executions, justifications and parameters can be viewed in real time via the dashboard. A weekly report also summarizes key figures in writing.

Next step

Non-binding initial consultation to assess your liquidity situation

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 demo

Nordquellin is an analytics and decision support platform. The values presented are illustrative and do not represent investment advice or a guarantee of returns.

Your information will only be used to prepare for the initial consultation.