Zanivo Relu analytics dashboard visualization for risk management
Data-driven capital analysis

AI-powered risk management for capital that you manage from anywhere

Zanivo Relu continuously analyzes market data, assesses risks according to fixed criteria and provides you with structured recommendations for action - regardless of whether you are sitting at your desk or on the move.

Data collection Ongoing capture of relevant market signals
Risk assessment Systematic classification according to fixed criteria
Recommendation Clear, comprehensible action steps
Initial situation

Working from anywhere makes continuous market monitoring difficult

Anyone who is mobile for work often changes time zones, work rhythms and internet connections. However, market movements do not follow this rhythm - volatility occurs regardless of whether you currently have access to your documents.

At the same time, the amount of available financial data is growing faster than it can be evaluated manually. For remote professionals, this means that decisions are more often made due to a lack of time or based on incomplete information, rather than on a stable database.

Zanivo Relu is designed to close this gap by running analysis continuously in the background and only providing results when a response is actually required.

Zanivo Relu team working on data-driven decision models
Core function

The analysis engine at a glance

A continuously active system that collects, evaluates and converts market data into structured recommendations - without you having to initiate the process manually.

01

Real-time data aggregation

Relevant market and price data is continuously collected and converted into a uniform format instead of being compiled manually from various sources.

02

Automated risk assessment

Each recorded position is classified according to defined criteria such as fluctuation range and correlation, so that risk does not have to be estimated subjectively.

03

Signal filtering

Short-term market noise is differentiated from structurally relevant movements in order to keep the number of unnecessary notifications low.

04

Capital protection protocols

Warnings are triggered at defined threshold values so that reaction times do not depend on your availability in front of the screen.

At its core, Zanivo Relu combines continuous data collection with a fixed set of rules for risk assessment. The system does not make autonomous investment decisions, but rather reduces the amount of information to what is actually relevant for an informed decision.

Methodology

How the model arrives at its estimates

The following three steps take place in the same order for every analysis - comprehensible and without hidden intermediate steps.

01

Data aggregation

Price, volume and volatility data from connected market sources are continuously merged and checked for completeness before being incorporated into the valuation.

02

Risk assessment

Each position is classified into a risk class based on defined key figures – such as fluctuation range, liquidity and correlation to existing positions.

03

Recommendation for action

The system derives a concrete, text-based recommendation from the risk class, which you check and implement independently.

Use cases

Two investment styles, one systematic framework

The weighting of the risk assessment can be adapted to your own strategy without changing the underlying analysis methodology.

Conservative approach

Capital preservation as a primary criterion

The risk assessment is adjusted more closely: positions with a high fluctuation range are marked earlier, and warning thresholds take effect even when there are small deviations from the target corridor.

The focus is on reduced fluctuation range compared to an unfiltered portfolio view.

Illustrative representation of a narrower risk range, not a real market representation.

Illustrative representation of broader risk tolerance, not a real market representation.

Growth-oriented approach

Higher risk tolerance with active monitoring

The thresholds will be wider to allow for short-term fluctuations. However, the risk assessment remains active and reports when defined limit values ​​are exceeded.

The focus is on room for growth with continued systematic risk control in the background.
Frequently asked questions

Technical and organizational details

Answers to the questions that should typically be clarified before use.

How is my data technically secured?

Connections to connected data sources and your access are encrypted. Access data is stored separately from analysis results to limit access to individual systems.

How late will I receive alerts?

The analysis runs continuously in the background. The actual latency until notification depends on the data source and your internet connection and therefore cannot be specified in seconds.

Does the system guarantee the protection of my capital?

No. The system reduces risk through systematic evaluation and early warnings, but cannot rule out losses on the financial markets. Every decision remains yours.

Does the AI ​​make buying or selling decisions independently?

No. Zanivo Relu provides reviews and recommendations as a basis for decision-making. The execution of a transaction is carried out exclusively by you via your existing accounts.

Does the analysis also work if the internet connection is unstable?

The analysis itself continues to run on the server side, even if your own device is offline. However, you will only receive notifications once a connection is established again.

Start with a structured risk analysis of your portfolio

Access is granted after a short review of your request. You will then receive an overview of how Zanivo Relu categorizes your existing positions.