Jevik Kuvra continuously evaluates market data and translates it into structured, comprehensible signals. Instead of individual assumptions, you receive a systematic basis for your decisions.
No financial advice. All illustrations serve to illustrate the methodology.
The more trading pairs that are observed at the same time, the more reliably correlations, outliers and structural changes can be classified. To do this, Jevik Kuvra continuously includes data from several market segments.
| Market segment | Pairs covered (approx.) | Update |
|---|---|---|
| Cryptocurrencies | 280 | continuously |
| Foreign exchange pairs (FX) | 120 | continuously |
| Indices & Commodities | 60 | continuously |
| Individual stocks (selected) | 50 | continuously |
Data preparation with a focus on German-language user interfaces and European trading hours.
Inclusion of European stock exchange opening times in the weighting of the risk assessment.
Consideration of Asian and US trading sessions for consistent observation.
The analysis takes place in four successive steps. Each step reduces noise and increases the traceability of the final assessment.
Price, volume and volatility data is continuously merged from the observed trading pairs. Missing or contradictory data points are marked before they are included in the modeling.
Statistical models identify recurring patterns and deviations from the historical behavior of a trading pair. The models are regularly readjusted based on new data to avoid drift.
Each outcome is given a risk level that takes into account volatility, liquidity and market breadth. This allows you to classify a recommendation instead of looking at it in isolation.
The result is output as a compact, text-based assessment with a risk level and justification. The decision as to whether and how to act remains entirely yours.
The following use cases describe typical starting situations for users who are looking for data insights to complement their own decisions.
Instead of following several charts in parallel, you receive condensed assessments of the pairs that are relevant to you. This reduces the amount of time that would otherwise be required for manual research.
Looking across 500+ trading pairs reveals correlations between asset classes. In this way, a spread can be justified instead of doing it based on feeling.
Defined thresholds trigger an alert when the risk level of an observed pair changes. This replaces repeated manual checking with a fixed set of rules.
We disclose how it works so that you can realistically assess the limitations and possibilities of the analysis.
Data collection runs continuously in the background. Depending on the market segment, short delays may occur, for example due to the processing of source data or maintenance windows for individual data providers. This delay is taken into account in the risk assessment.
The models learn from historical price and volume data of the observed trading pairs. They are regularly compared with new data to identify outdated patterns and adjust accordingly.
Access is via a monthly subscription. The scope of functions depends on the number of trading pairs observed at the same time. You will receive details about the scope and conditions after contacting us.
No. Jevik Kuvra provides a data-based assessment as a decision-making aid. The final investment decision and its legal and tax assessment remain with you or your advisor.
No prior technical knowledge is necessary. However, basic knowledge of trading pairs and risk terms helps to correctly classify the assessments provided.
Getting started takes place in three comprehensible steps. You retain control over the scope and pace at all times.
Discover systematicsYou tell us which market segments are relevant to you.
The relevant trading pairs will be included in your ongoing analysis.
You receive structured results including risk level and justification.