Wie werden meine Daten geschützt?

Verbindungsdaten werden verschlüsselt übertragen und ausschließlich für die Berechnung Ihrer individuellen Analyse verwendet. Zugriffsrechte auf angebundene Depots legen Sie selbst granular fest und können diese jederzeit widerrufen.

Wie kommen die Analyseempfehlungen zustande?

Die Modelle basieren auf statistischen Verfahren zur Muster- und Volatilitätsanalyse historischer und aktueller Marktdaten. Die zugrunde liegende Methodik wird regelmäßig überprüft und an veränderte Marktbedingungen angepasst. Sie ersetzt keine individuelle Anlageberatung.

Wie ist die Kostenstruktur aufgebaut?

Die Nutzung erfolgt über ein Abonnementmodell ohne erfolgsabhängige Gebühren. Details zu den verfügbaren Paketen erhalten Sie im persönlichen Gespräch über unser Kontaktformular.

Zelun Nevorasa analysis environment for location-independent investment decisions

Capital accumulation with AI-supported entry points – controllable regardless of location

Zelun Nevorasa analyzes real-time price, volume and volatility data and calculates automated dollar-cost averaging points. Decisions are made from data rather than gut feeling before the next flight.

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The challenge

Manual timing costs time, nerves and often returns

Price movements are not based on travel times. Anyone who changes several time zones per month inevitably misses market phases or reacts to them with a delay.

Typical patterns emerge from this gap: buying out of fear of missing out or rushing to sell during short-term declines. Both are humanly understandable, but over a longer period of time they often reduce the result.

The approach of Zelun Nevorasa

Data-based entry logic instead of the mood of the day

Zelun Nevorasa replaces selective observation with continuous, automated evaluation. The system determines mathematically justified entry windows for your DCA strategy and applies them according to your approval.

The logic remains comprehensible: parameters, threshold values and execution can be viewed at any time and can be adjusted as soon as your situation or risk profile changes.

About the system

Analytics infrastructure that is not tied to one location

Zelun Nevorasa was developed for users who do not want to tie their investment to a fixed screen or a fixed time zone. The evaluation continues on the server side, regardless of whether you are currently online.

You can access configuration, history and current positions via a browser-based interface that works on any device with an internet connection. Changes to your strategy will immediately affect the next calculation.

Zelun Nevorasa analysis environment for mobile investment decisions

Technology

How AI analysis determines your entry points

The system continuously processes large amounts of market data and translates it into concrete, actionable signals for your DCA strategy.

Predictive analytics

Historical and current market data from multiple sources is checked for recurring patterns. This results in probability statements about favorable entry windows, which are continually readjusted.

Real-time monitoring

Price data and volatility indicators are continuously recorded and compared with your defined strategy. Deviations trigger a reassessment without you having to actively intervene.

Risk optimization

Position sizes are calculated based on volatility and your risk target. The goal is a more even allocation of capital over time instead of a single, point-in-time decision.

Process

Setup in three steps, operation without daily checks

After configuration, the system takes over ongoing monitoring. You keep an overview without being tied to a fixed place of work.

Data connection

You connect Zelun Nevorasa with the market data sources and portfolio interfaces that you want to use. Setup is done via guided configuration, regardless of your location.

Set strategy parameters

You define the investment horizon, risk tolerance and the desired DCA frequency. This information forms the basis on which the system evaluates entry points.

Automated execution

If a parameter is met, the system carries out the specified action according to your release level. An overview of the activity is available to you at any time.

Use cases

Decision support for different market phases

The following examples show how analysis is specifically used in various situations.

Rebalancing

Portfolio rebalancing

If individual positions deviate significantly from the target weighting, the system calculates the extent of the deviation and suggests adjustments based on defined threshold values - not based on the daily mood.

Bull and bear markets

Market entry optimization

In an up phase, the system spreads purchases across multiple smaller entry points to reduce dependence on a single high. In a down phase, it identifies periods of relative stability within volatility for staggered follow-up purchases.

Long term

Asset protection across market cycles

If there is increased market uncertainty, the system adjusts purchase intervals and position sizes for each entry in order to spread the risk of a single wrong decision over time.

Transparency

Questions about security, logic and costs

Traceability is part of the system. The answers below summarize the key points.

How is my data protected?

Connection data is transmitted encrypted and used exclusively to calculate your individual analysis. You define access rights to connected depots yourself and can revoke them at any time.

How are the analysis recommendations made?

The models are based on statistical methods for pattern and volatility analysis of historical and current market data. The underlying methodology is regularly reviewed and adapted to changing market conditions. It does not replace individual investment advice.

How is the cost structure structured?

It is used via a subscription model without performance-related fees. You can obtain details about the available packages in a personal conversation using our contact form.