NirveloTrade combines predictive models with your individual risk tolerance. The AI learns from your behavior and continuously adapts recommendations – for private portfolios and corporate capital decisions alike.
Today, market data, key figures and external influencing factors are generated at a speed that hardly permits consistent manual evaluation. As a result, decisions are often made on the basis of outdated or incomplete information.
NirveloTrade takes over the ongoing evaluation of this data and delivers structured, risk-adjusted recommendations - clearly documented and verifiable at any time.
Four components work together to produce recommendations based on both historical patterns and your individual risk behavior.
The system records reactions to previous recommendations and derives a dynamic risk tolerance instead of relying on a static questionnaire.
Historical and current data series are used to calculate likely development paths and map them into scenarios with probability of occurrence.
Connected data sources are continuously read in, so that recommendations reflect the current market status and are not based on daily financial statements.
Alternative decision paths are calculated before implementation in order to make the effects on the portfolio or company key figures visible.
The learning process takes place in four comprehensible steps and can be viewed at any time in the account report.
Relevant accounts, key figures or market segments are linked. Only the data fields necessary for the analysis are processed.
Decisions, confirmations and rejections of previous recommendations are evaluated to identify patterns in risk behavior.
The risk model is adjusted based on these patterns so that future recommendations are closer to the actual tolerance limit.
As market conditions and personal situations change, the model is updated continuously rather than once.
The underlying logic remains the same, the parameters differ depending on the application area.
A working person with multiple sources of income would like to diversify savings more widely without having to monitor the market situation on a daily basis. NirveloTrade takes over the ongoing monitoring of positions and suggests adjustments if the risk profile of the portfolio shifts.
A small company is considering how free liquidity should be distributed among various investment projects. NirveloTrade simulates different allocation scenarios and evaluates them according to expected benefit relative to the risk of loss.
Connections to external accounts and data sources are transmitted encrypted. Within the platform, access to analysis data is limited to the systems necessary for the respective function.
The model evaluates how you reacted to previous recommendations - for example by accepting, rejecting or adapting suggestions - and gradually derives an individual risk profile from this.
Each recommendation is documented with the underlying factors and the respective risk assessment so that the derivation remains comprehensible afterwards.
No. The system provides a structured basis for decisions. The final decision to implement or reject a suggestion remains yours.
For working individuals who manage multiple sources of income and for small and medium-sized businesses that want to make capital decisions on a broader basis of data.
Connect an initial data source and get an assessment of your current risk profile before committing to full access.
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