Dagrenso analyzes market, order and news data in real time and provides prioritized recommendations for action. The infrastructure runs in German data centers and meets GDPR requirements.
The engine processes incoming data streams directly at the entry point. The average time between data collection and the first model evaluation is a single-digit millisecond. Every calculation is recorded and can be traced afterwards.
Models are continuously readjusted with new market data without the need for manual recalibration. Deviations between the forecast and actual market developments are automatically included in the next round of evaluation.
Data is encrypted in transit and at rest. Access rights are role-based and logged. The infrastructure is designed for use under German and European supervisory law.
AES-256 for stored data, TLS 1.3 for all transmission paths. Key rotation is automated at fixed intervals.
Data storage exclusively in data centers within the EU. No transfer of personal data to third countries without a contractual basis.
Processes are aligned with GDPR requirements and standard industry reporting requirements for the financial sector.
| criterion | Standard analysis | Dagrenso optimization |
|---|---|---|
| Processing latency | 200-500ms | 8 ms |
| Data sources per decision | 3-8 | 120+ |
| Risk assessment | static, updated daily | dynamic, per data point |
| Scaling as volume increases | manual capacity planning | automatic load distribution |
Dynamic reassessment means: A changed risk signal is immediately incorporated into the next recommendation instead of only being taken into account in the next daily evaluation. This noticeably shortens the reaction time to market movements.
The infrastructure adapts computing capacity to the current data volume. When market volatility increases, processing performance increases automatically, without any manual intervention from your team.
Market, order and news data is continuously imported from more than 120 sources. Each source is checked for consistency and topicality before it is included in the analysis.
Models evaluate incoming data against historical patterns and current market conditions. The weighting of individual factors is documented and remains comprehensible.
Results are output as a prioritized recommendation with a confidence value. The decision about implementation remains with you or your system.
Dagrenso is designed for traders and institutional teams who want to make decisions based on complete, up-to-date data rather than waiting for delayed daily reports. The platform combines data processing, risk assessment and output in a consistent system.
The focus is on traceability: every recommendation can be traced back to the underlying data points. This supports internal testing processes and makes documentation easier for supervisory bodies.
More about the company
The connection takes place via a REST API and a WebSocket feed for real-time data. Both interfaces are documented and can be integrated into common order management systems. A test environment is available before productive use.
Data is held exclusively in data centers within the EU. Access is role-based according to the principle of minimum authorization. Accesses are logged and can be viewed upon request.
The analysis runs parallel to order execution and does not block it. Recommendations are provided as soon as they are available, regardless of your system's execution path.
Billing depends on data volume and number of connected sources. An individual offer will be created after a brief technical comparison of your requirements. You can obtain exact conditions via the contact form.
After the end of the contract, all stored data will be deleted within the agreed period. A deletion confirmation will be issued upon request.
Check the platform against your own data sources. Access will be activated after a short technical consultation.