Intelligence as a Service

Data-based portfolio decisions in real time

Nodavrek continuously processes market and transaction data and provides decision-making principles that are based on comprehensible models instead of intuition. For investors who want to understand risk before taking it.

Nodavrek Dashboard visualization of real-time data analysis for portfolio decisions

Representation of a typical analysis view: Data streams are continuously evaluated and translated into risk and opportunity indicators, not into blanket purchase signals.

Initial situation

The amount of data is growing faster than the ability to evaluate it manually

Markets today generate more relevant signals than a single team or individual can sift through in a meaningful amount of time. Price movements, liquidity changes and macroeconomic data points arise in parallel and influence each other. Anyone who only looks at a section makes decisions on an incomplete basis.

Nodavrek was developed to close this gap: models take over the ongoing evaluation, people retain decision-making authority. The software does not replace the ability to judge; it structures the information base on which judgments are made.

Continuous processing instead of selective testing Instead of individual daily analyses, the system continuously evaluates data points and updates risk assessments as soon as relevant parameters shift.
Technical basis

Three components that together create a reliable basis for decision-making

Predictive modeling

The models recognize patterns in historical and current data series and derive probability scenarios, not guarantees.

  • Processing multiple market indicators in parallel
  • Ongoing recalibration for new data points
  • Output as a probability range, not as a single forecast
01

Risk management

Each recommendation is checked against defined risk parameters before it is displayed. Position sizes and volatility limits are integral parts of the logic.

  • Automatic limit on position size by risk class
  • Leading indicators of unusual market movements
  • Transparent disclosure of underlying assumptions
02

Real-time data streams

Market and order book data is read in without delay, so that models work based on the current state and not on outdated levels.

  • Direct connection to relevant market data sources
  • Processing without manual intermediate steps
  • Logging of every data update for traceability
03
Process

Setup in under 60 seconds, traceability from the start

01

Data connection

You connect your portfolio or data source via a read-only interface. Only read access is required, no control over funds.

02

Model matching

The system assigns your risk parameters to the existing model profiles and calibrates threshold values according to your individual specifications.

03

Execution

After confirmation, the ongoing analysis begins. Recommendations and risk assessments will be continuously updated from this point onwards.

Use cases

Two perspectives on the same analysis infrastructure

Institutional strategy

Companies and family offices use Nodavrek to combine larger amounts of data from multiple sources and create decision templates for committees. The evaluation does not replace internal governance, it provides the quantitative basis for it.

  • Consolidated view across multiple asset classes
  • Exportable risk reports for internal reconciliations
  • Scalable analysis regardless of data volume

Private portfolio management

Private investors with crypto exposure use the system to continuously monitor positions without having to manually track price movements. The facility is deliberately kept low-threshold.

  • Understandable risk classification without technical jargon
  • Notification when defined thresholds are reached
  • Read access can be revoked at any time
Frequently asked questions

Answers for technically and financially cautious investors

How is sensitive portfolio data handled?

The connection takes place via read-only interfaces. At no time does Nodavrek have control over funds or accounts. Access rights can be revoked at any time by the user; data processing is encrypted.

What logic does the AI ​​use to make its assessments?

The models combine historical pattern analysis with current market data and output probabilistic scenarios instead of fixed forecasts. Each recommendation is presented with the underlying assumptions and risk indicators so that the derivation remains comprehensible.

How are liquidity risks dealt with?

Position sizes are linked to the observed market liquidity of the respective investment. If liquidity is limited, the system automatically reduces the recommended position size and marks the affected position accordingly.

Background

Designed for understandable results, not impressive results

Nodavrek was born from the observation that many analysis tools hide complexity behind attractive interfaces. Our approach is the opposite: the surface remains reserved, the methodology is open. Each key figure can be traced back to its database.

Nodavrek team developing analytical models for portfolio decisions

Start with a structured analysis of your portfolio

Setup typically takes less than 60 seconds and requires read-only access. You retain full control over your funds at all times.

Begin portfolio setup