Malven Selvek automatically evaluates large amounts of data and translates them into actionable portfolio recommendations - without manual preparatory work and without an in-house analysis department.
Anyone who evaluates financial and market data by hand loses time on tables instead of making decisions. Prices, news and key figures change faster than a single person can grasp them - relevant signals are lost in the noise.
Malven Selvek processes these data streams in real time. Predictive models filter out relevant patterns, automatically assess risk and deliver a prioritized recommendation before the market window closes.
Four functional areas form the core of the platform - each of which makes a measurable contribution to the decision.
Statistical models evaluate historical and current market data and calculate probabilities of price movements. The results flow directly into the portfolio logic.
Every position is automatically checked for volatility, correlation and loss potential. Limit values can be set individually.
Key figures on performance, exposure and market changes are continuously updated and displayed in a reduced interface.
After the analysis, the system implements recommendations into concrete portfolio structures, adapted to the individual risk profile.
The setup follows a fixed process. Every step is visible and only takes a few seconds.
They connect existing accounts or data sources via standardized interfaces. The connection is completed in a few seconds.
The analysis engine processes the data, weights risk factors and calculates an optimized portfolio structure.
You check the recommendation and activate the portfolio with one click. Monitoring and adjustment continue automatically from this moment on.
Malven Selvek develops analysis tools for location-independent investors and small teams that want to make data-based decisions without their own analysis department.
The platform combines quantitative models with a reduced user interface so that it can be set up in under a minute, even without prior technical knowledge.
The same analysis engine is used for different requirements - depending on the user's goal.
Small teams use Malven Selvek to evaluate market and competitive data for strategic decisions without setting up their own data analysis department. Recommendations can be incorporated directly into planning documents.
Location-independent investors connect their portfolios and receive continuously adapted portfolio suggestions. The analysis runs in the background, regardless of location.
If you want to hedge existing positions, use risk assessment to check volatility and correlations between individual values before investing new capital.
Direct answers about data protection, integration and the logic behind the models.
Connections to data sources are encrypted. Access data is stored separately from analysis results. You retain control over which accounts are connected and can revoke access at any time.
The technical connection via the standard interface usually takes less than a minute. The subsequent initial analysis can take a few minutes depending on the amount of data.
The models weigh historical price trends, volatility and correlation data. Each recommendation is displayed with the underlying key figures so that the decision remains understandable.
Connect your data source, check the recommendation and start. No lead time, no manual configuration.