Savun Temorela offers freelancers precise decision models based on historically validated strategies - automated, risk-optimized and transparent.
Start strategy analysisEach recommendation from Savun Temorela is based on a three-step process. The aim is to reduce decision-making variance through historical evidence instead of intuition.
Market data from multiple independent sources is consolidated and checked for consistency before being incorporated into the model.
Models are tested against historical time periods to distinguish recurring patterns from noise and validate parameters.
Only strategies with sufficient statistical significance are issued as recommendations for action based on the individual risk profile.
Freelancers work with irregular payment receipts. Savun Temorela translates this uncertainty into structured, comprehensible decisions.
Free capital phases are systematically suggested for short to medium-term allocation based on the individual risk profile.
The analysis work is eliminated. Recommendations are automatically generated and documented based on defined parameters.
Recommendations are based on quantifiable metrics, not market sentiment or subjective assessment.
Each strategy is tied to a defined volatility class that suits its own resilience.
Savun Temorela relies on extensive historical data sets to limit the spread of possible future outcomes for independent professionals. Forecasts in the classic sense are deliberately avoided - the focus is on the question of how comparable strategies behaved under past market conditions.
| Strategy profile | Backtesting period | Volatility class | Rebalancing |
|---|---|---|---|
| Conservative | Perennial | Low | Quarterly |
| Balanced | Perennial | Means | Monthly |
| Growth oriented | Perennial | Increased | Monthly |
Example representation of the reporting structure. Specific key figures are provided after an individual risk profile has been created.
The following scenarios show how recommendations are designed depending on the individual risk profile and capital availability.
After payment of a project fee has been received, it is checked which portion can be tied up at short notice without endangering the liquidity reserve.
If market volatility increases, the allocation is adjusted to keep the fluctuation range within the previously defined tolerance limit.
Personal data is processed exclusively to create the risk profile and recommendations. Storage and processing takes place on servers within the EU, in accordance with the requirements of the GDPR.
The models are trained using historical market data from multiple independent sources and are regularly checked against new data series in order to identify model deviations at an early stage.
The connection takes place via standardized interfaces. No manual data entry is required; existing portfolio or account structures remain unchanged.
Backtesting evaluates how a strategy would have performed under past market conditions. It does not provide an assurance of future results, but rather a more robust basis for evaluating strategies.
All relevant parameters – including time horizon, volatility class and rebalancing frequency – are disclosed in the report and can be viewed before any recommendation.
Start optimizing your financial strategy based on AI analyzes – structured, understandable and adapted to your risk profile.