Real-time monitoring
Continuous monitoring of positions and market indicators, with reporting of significant deviations as soon as they are detected rather than at fixed intervals.
Predictive analysis & risk management
A risk management engine that analyzes your financial flows continuously
Avantage Finance combines predictive models and systematic management rules to identify risk signals before they affect your capital, without requiring constant manual monitoring.
The engine
A risk management system designed to operate without constant supervision
Avantage Finance relies on statistical models trained on market and portfolio behavior data series. The system does not make isolated predictions: it continuously recalculates the probability of loss and adjusts the coverage parameters according to changing conditions.
The objective is not to maximize a theoretical return, but to maintain an exposure consistent with the defined risk profile, by reducing decisions taken in a hurry.
- Detection of trend breaks on tracked assets
- Automatic recalculation of alert thresholds according to observed volatility
- Complete logging of decisions for post-audit
- Setting the risk tolerance level by user profile
Risk-Adjusted Return
Calculated by profile
Each portfolio monitored has its own ratio, recalculated each time the positions are updated. No overall average is applied.
Illustration of the restitution format — actual values depend on the connected account.
Analysis tools
Four modules to monitor, anticipate and act
Each module operates independently but shares the same market database, which avoids gaps between monitoring and decision-making.
Predictive modeling
Projection of short-term volatility scenarios from historical data and current market signals, updated with each analysis cycle.
Automated coverage
Triggering of hedging positions according to predefined rules, within the limits set by the user, without systematic manual validation.
Custom Reports
Generation of periodic summaries detailing the decisions taken, their justification and their measured impact on overall exposure.
Methodology
Three steps between raw data and recommendation
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01
Data ingestion
Market flows, portfolio positions and relevant macroeconomic indicators are collected and normalized before any analytical processing.
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02
Algorithmic validation
The generated signals are compared to consistency rules and statistical confidence thresholds before being retained as usable.
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03
Execution recommendation
The system suggests an action—adjustment, hedging, or maintaining position—accompanied by the parameters that led to that recommendation.
Use cases
Three intervention profiles depending on your horizon
Professionals who diversify their income outside of their main activity do not all have the same amount of time available to follow their positions. The level of intervention varies depending on the profile chosen.
| Profile | Horizon | Level of intervention | Main objective |
|---|---|---|---|
| Prudent diversification | 12–36 months | Low — alerts only | Capital protection |
| Tactical Coverage | 1–6 months | Moderate — validation required | Limitation of losses |
| Active piloting | A few days to weeks | High — autorun | Risk-Adjusted Return |
Risk/intervention matrix
Low risk
Minimal intervention, informative alerts
Moderate risk
Periodic supervision recommended
High risk
Close management, frequent validation
Technical questions
Transparency on how the system works
How is the data connected to the platform protected?
Connections to accounts and market feeds go through encrypted protocols. Identifiers are never stored in plain text and access to data is limited to functions strictly necessary for calculating risk signals.
Can the system integrate with existing tools?
A programming interface (REST API) allows you to connect brokers or portfolio management tools already in place. Integration occurs in stages, typically starting with a read-only data stream.
How are model biases limited?
The models are retrained at regular intervals on renewed data windows, and their recommendations are compared to independent control rules before distribution. Any deviations observed are documented and used to adjust the parameters.
What happens if market data is interrupted?
In the absence of a reliable feed, the system suspends automatic recommendations and places the affected positions in manual monitoring status until the data source is restored.
Access the dashboard to assess your current exposure
Setup begins with a read-only connection of your accounts, followed by an initial analysis of your exposure. No commitment is required at this stage.
Analyze flowsCompatible with
- REST API
- CSV/XLSX export
- Broker connection
- Standard Market Feed