Kivun Keraluna platform interface for data-based decision analysis

Precision analytics for capital decisions

Data-based decision support for capital investments and corporate strategy

Kivun Keraluna processes market data in real time and provides action recommendations based on statistical probability, not opinion. Trading without fees further increases returns without affecting the quality of the analysis.

Illustrative representation of the analysis areas, no real-time values.

Core principle

Two factors determine the return: analysis quality and cost structure

Most trading platforms make money from every transaction. These fees add up over time and detract from even good decisions. Kivun Keraluna completely waives trading fees - the entire result of a position remains with the user.

The second component is analytical precision. Our models process historical and current market data in parallel to provide probabilities rather than guesswork. Both principles work together: lower costs, more informed decisions.

Kivun Keraluna analysis team evaluating market data

Analysis engine

Three pillars of AI-supported evaluation

Every recommendation goes through the same technical foundation: predictive modeling, continuous risk assessment and real-time processing.

01

Predictive analytics

Statistical models evaluate historical patterns and current market movements to depict scenarios with different probability of occurrence. The results serve as a basis for decisions, not as a guarantee.

02

Risk minimization

Each recommendation is checked against defined risk parameters before it is issued. Positions with unclear data are marked accordingly instead of being recommended across the board.

03

Real-time insights

Price data, news situation and volume movements are recorded continuously. Changes in the risk assessment appear in the user account without delay.

Methodology

How a recommendation is created from raw data

Transparency about the processing method is part of our claim. Not a black box, but a comprehensible, three-stage process.

Step 1

Data collection

Market data, historical price trends and publicly available economic indicators are continuously imported and checked for consistency before they are incorporated into the models.

Step 2

AI refinement

The raw data is processed through multiple model stages that separately assess correlations, volatility and risk factors. Conflicting signals are marked and not automatically resolved.

Step 3

Recommendation for action

The result is translated into an understandable recommendation with a risk rating. The final decision always lies with the user.

Application

Two typical areas of application for young professionals

Use case

Portfolio diversification

Capital investment

A user with existing income from employment is looking for a second, largely independent source of income. Kivun Keraluna analyzes the correlation of existing positions and suggests additions that reduce, rather than increase, the overall risk of the portfolio.

Since there are no trading fees, the full return is maintained even with smaller, regular adjustments - an advantage that is particularly worthwhile with frequent rebalancing.

Use case

Strategic business decisions

Business

For founders and decision-makers, the platform provides evaluations of market conditions that affect a planned investment or expansion. Instead of a single key figure, users receive a classification of how stable the underlying data actually is.

This supports decisions that should be made on a reliable basis, without slowing down the process through complex in-house research.

Cost structure

0% fees

No trading fees, no hidden costs

Kivun Keraluna is financed through a transparent subscription model and not through commissions per transaction. This means: The entire return from a position remains with the user, regardless of trading frequency or position size.

Inquire about conditions

Next step

Start with a structured, data-based decision-making basis

  • Real-time data processing without manual evaluation
  • Risk rating for each recommendation
  • No trading fees regardless of volume
  • Comprehensible methodology instead of black box results