Xanvado processes your data feeds continuously and automatically adjusts your level of risk exposure, according to a profile that you define once. Designed for freelancers and investors who operate without a fixed office.
Each component of the system has been sized to handle varying volumes of data without degrading the accuracy of recommendations.
Average time between receiving a market feed and updating the associated recommendation.
The model identifies correlations between historical variables and current conditions, then weights each signal according to its observed reliability.
Exposure is recalculated at each significant market variation, within the limits set by your tolerance profile.
No recommendation is produced without traceability. You can consult, at each step, the data and rules that led to an adjustment.
The flows (markets, income, macroeconomic indicators) are collected and normalized before any processing.
The model compares current conditions to comparable historical sequences to estimate a probability of evolution.
Each recommendation is filtered according to the tolerance thresholds you have defined in your profile.
The final recommendation is presented with its confidence level and the parameters taken into account, it is up to you to validate.
An independent investor distributes his capital between several asset classes. Xanvado monitors correlations between these positions and flags imbalances before they affect the overall risk profile.
A self-employed person managing multiple sources of income uses the system's cash flow forecasts to calibrate investment decisions without relying on an advisor on an ongoing basis.
The settings below describe the current infrastructure. They are communicated to allow a technical evaluation before integration.
| API Connectivity | Key-authenticated REST API, with webhooks for real-time recommendation updates. |
|---|---|
| Model update frequency | Weekly recalibration of weighting parameters, continuous adjustment of risk thresholds. |
| Security protocols | TLS 1.3 encryption in transit, encryption at rest, strict separation of environments by account. |
| Hardware infrastructure | Distributed processing on redundant servers, with automatic failover in the event of a regional incident. |
You provide an initial profile when setting up the account, based on your decision horizon and your accepted loss capacity. This profile may be revised at any time; each change is applied to future recommendations, never retroactively.
The system aggregates public market flows, macroeconomic indicators and, upon explicit authorization, your own revenue data. No third-party data is shared without prior consent.
The internal weightings of the predictive model cannot be modified manually, in order to preserve its statistical consistency. On the other hand, the trigger thresholds, the frequency of alerts and the asset categories monitored remain fully configurable.
Access to the interface does not require any time commitment. You set your parameters, the system starts scanning.