AI-powered decision support
Kurun Senoriva continuously evaluates financial, risk and liquidity data and translates it into structured recommendations for action. Every system decision is logged and tracked in the public performance log by the user community.
| Analysis cycle | 4.2 sec. |
| Active data sources | 47 |
| Processed data points / day | 2.1 million |
| Last model calibration | 6 hours ago |
Verified performance
Every system decision is archived with input data, output and timestamp. Members of the user community check individual entries before a status is marked as verified.
| Timestamp | Module | Signal type | Result status | Verification |
|---|---|---|---|---|
| June 18, 2024, 09:42 | EU equities risk model | Position reduction | Completed | ✓ Tested |
| June 17, 2024, 10:15 p.m | Liquidity analysis FX | Stop signal | Completed | ✓ Tested |
| June 17, 2024, 2:03 p.m | Macro indicator scan | Allocation adjustment | Completed | Under examination |
| June 16, 2024, 8:51 a.m | Volatility model | Risk signal | Completed | ✓ Tested |
Note: The entries shown illustrate the log format. The full, continuously updated log is available to registered users in the dashboard.
Technical basis
Analysis, risk control and execution are built as separate but connected modules. Each module can be configured individually.
The system reads market, liquidity and news data directly from connected sources and updates risk metrics continuously, not at fixed intervals. Decision-making is based on the status of the last few seconds, not on outdated daily financial statements.
Kurun Senoriva reduces position risk via dynamic thresholds that adjust for volatility and correlation. The system does not completely avoid losses, but limits their extent to predefined parameters.
Released recommendations for action are carried out via connected broker interfaces, without any manual intermediate steps. Users define limits for volume, instruments and maximum deviation in advance.
Location-independent use
The system runs on the server side and is independent of the user’s location. Configuration and control are carried out via the dashboard, even when the time zone changes.
Broker API, account and relevant data feeds are linked once.
Risk limits, volumes and time frames for execution are set.
Analysis and evaluation run continuously, regardless of where you are.
Notifications run through the dashboard; manual interventions are possible at any time.
Active rules are presented as a list: maximum position size, execution time window, instrument exclusion list. Every change is immediately logged and versioned with a time stamp, even when accessed via mobile connections.
Methodology
The models are trained on historical data sets and continually readjusted with current market data. Kurun Senoriva makes no promises of winnings: every recommendation is based on statistical probability, not a guarantee. Model versions and parameter changes are documented and can be traced in the methodology archive.
Access
Each level expands data sources, configuration scope and execution rights. The price depends on the scope and is tailored individually.