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København Tidende — data analysis visualization and decision support for investors
AI-driven decision optimization

Optimizing decision-making processes in real time

København Tidende analyzes market data continuously and translates patterns into concrete, documented recommendations. No commission, no custodial fee — you keep 100% of your result.

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Example of overview

DKK 0 Fee per trade
24/7 Data monitoring
100% Of profit remains yours

Illustrative example of interface structure — not a guarantee of returns.

Zero-fee model

DKK 0 in fees on each trade, without exceptions

Most platforms take a share of your profit via brokerage, custodian fees or hidden spreads. København Tidende is built without these layers. Our business model is independent of how often you trade, removing the incentive to recommend unnecessary activity.

  • No brokerage — you do not pay per transaction.
  • No deposit fee — storage of your portfolio is included.
  • No advisory fee — recommendations are generated by the model, not by commission-based advice.
  • Full transparency — the decision logic behind each recommendation can be reviewed.
København Tidende — the team's approach to data-driven portfolio analysis
Core technology

Predictive analysis and risk management in the same system

The models are continuously updated on the basis of new market data. The result is a decision support that responds to changes in real time rather than at fixed intervals.

P.A

Predictive analytics

Models identify patterns in historical and current data sets to estimate likely outcomes.

RM

Risk management

Each recommendation is accompanied by a risk score based on volatility, correlation and exposure.

RT

Real-time data

Data collection is continuous, so recommendations reflect the latest market conditions.

SK

Scalable recommendations

The system handles both smaller portfolios and larger capital volumes without changing the logic.

1

Data collection

Market data, key figures and volatility indices are gathered from several sources.

2

Model analysis

Data is processed through predictive models and risk filters.

3

Recommendation

A concrete, time-stamped recommendation is generated with justification.

4

Monitoring

Positions are continuously monitored and recommendations are adjusted when conditions change.

Method

Practical application of data analysis

Below is a description of how the system is used in three common situations for an investor who wants to diversify his portfolio.

Portfolio diversification

The system assesses the current composition of a portfolio and points to sectors or asset classes with low inter-correlation. The aim is to reduce overall exposure to a single risk factor.

Continuous Recalculation for new data
Sector-based Correlation analysis
Diversification score: updated

Risk assessment per position

Each individual position is assigned a risk score based on volatility and liquidity. The score is updated as market conditions change, so the rating is not static.

Per position Individual score
Dynamic Adjusted continuously
Risk score: Low → Moderate

Market surveillance

The system monitors movements in relevant markets and marks deviations that may affect existing positions. The user receives a recommendation, not an automatic action.

Ongoing Monitoring of market data
Notification In case of relevant deviation
Deviation registered at 09:41
Transparency

Fee comparison and decision logic

The table below shows the basic difference between a typical fee-based platform and København Tidende's model.

Item Typical platform København Tidende
Brokerage per trade Variable, often 0.1–0.5% DKK 0
Custody fee Fixed annual amount DKK 0
Advisory fee Often commission-based Not used
Share of profit you keep Reduced by fees 100%

How recommendations are documented

Each recommendation is saved with a time stamp, the data points used and the underlying risk assessment. It makes it possible to review why a given recommendation was generated, instead of dealing with a black box.

Data security

Data is encrypted during transfer and storage. Access to account information is limited and logged internally.

FAQ

Frequently asked questions

Answers to the technical questions we most often encounter from users looking to diversify their portfolios.

How are the recommendations generated?

Recommendations are generated by models that process market data, volatility and correlation between assets. Each recommendation is accompanied by a brief rationale and a risk score.

Are there really no fees?

No commission, custody fee or advisory fee is charged. The business model is not dependent on trading volume, which removes the incentive to propose unnecessary transactions.

How does the system support diversification?

The model analyzes correlation between existing positions and points to asset classes or sectors that can reduce overall risk exposure, without prescribing a specific allocation.

Can I see why a recommendation was made?

Yes. Each recommendation is logged with the data points used and the risk assessment, so that the decision basis can be reviewed afterwards.

Are the recommendations a guarantee of return?

No. Recommendations are decision support based on available data and historical patterns. They do not constitute a guarantee of future results.

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