Zivun Serovena – Real-time analysis of global market data on multiple screens

Precise introductions instead of gut feeling

Zivun Serovena combines automated dollar-cost averaging with AI-powered risk analysis. You set your parameters and the system takes care of observation, timing and adjustment - regardless of location or time zone.

Analysis interface preview: Volatility index, moving averages and current entry signals are continuously displayed in a consolidated dashboard.

When market data grows faster than decisions

Those who invest on the go follow prices, news and key figures from changing time zones and with limited attention. This makes manual decisions susceptible to delay and emotion – especially in volatile phases.

Zivun Serovena continuously processes structured and unstructured data in the background and converts it into concrete, rule-based recommendations for action. The decision remains yours; the system takes over the observation.

Continuous market observation

Regardless of location, device or time of day, the system continuously evaluates price trends and volatility patterns - without manual control in real time.

Three levels of decision support

01
Predictive modeling

Recognize patterns in historical and ongoing data

The model compares current price movements with historical volatility patterns and correlations between asset classes. This creates probability bands for short and medium-term price developments, which serve as the basis for further calculations.

02
Automated entry points

Dollar-cost averaging with variable timing

Instead of rigid intervals, the system adjusts the purchase times based on volatility and trend strength. Buys are consolidated when valuation models indicate favorable entry windows and held back when metrics indicate increased uncertainty.

03
Real-time risk mitigation

Continuously adjust position sizes to market conditions

A separate risk module monitors drawdown thresholds, liquidity and correlation risks. If a value exceeds the defined limit, the system reduces the position size or pauses further purchases until the key figures stabilize.

From raw data set to executable signal

The technical process is divided into three comprehensible steps. Each step creates a verifiable intermediate size before moving on to the next stage.

1

Data aggregation

Price, volume and macro data are merged from multiple sources, cleaned and standardized to a common time frame.

2

AI analysis

Models evaluate volatility, trend strength and correlations and derive probabilities for entry and risk scenarios.

3

Execution optimization

Based on the analysis, the system determines the time of purchase and position size and documents each execution in a comprehensible manner.

Zivun Serovena – work environment for data analysis and model development

A system that prioritizes traceability over automation

Zivun Serovena was developed for users who cannot or do not want to monitor investment decisions manually on a daily basis without sacrificing methodical control. Every decision made by the system is based on documented rules and can be checked afterwards.

Instead of blanket forecasts, the platform provides structured probability statements and well-founded suggestions for action that can be integrated into existing portfolios.

For different automation requirements

Strategic hedging

Companies with foreign currency or raw material exposure use the risk modules to readjust hedging positions based on rules instead of relying on individual decisions.

Portfolio automation

Investors with changing locations automate recurring purchases via defined rules so that travel times and time zones do not influence execution.

Market sentiment analysis

In addition to price data, news and sentiment indicators are evaluated in order to identify short-term shifts in the risk profile at an early stage.

Questions about security, logic and integration

How is my data protected?

Connections to data sources and accounts occur exclusively via encrypted interfaces. Access data is managed separately from analysis data and is not used for any purpose other than the agreed execution.

How transparent is the underlying logic?

Every purchase or adjustment decision can be traced back to the underlying metrics. The system documents input data, applied threshold values ​​and the resulting action in a viewable log.

How does the integration into existing accounts take place?

The connection takes place via standardized API interfaces of the respective brokers or trading venues. Existing positions are imported before the first execution and included in the risk calculation.

Ready for a structured analysis of your investment strategy?

Arrange an initial review of your database or start directly with a test analysis. You get started without a long-term commitment.

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