Asset management driven by AI
Aurévaine Montelisse continuously monitors the markets, recalculates the risk of your portfolio in real time and makes the necessary adjustments, for parents who do not have the time to follow the markets on a daily basis.
The observation
Most working parents spend less than an hour per month managing their savings, according to feedback observed by automated management players. Meanwhile, brokerage and management fees continue to take a cut from performance, year after year, regardless of the results obtained.
Aurévaine Montelisse was designed to remove these two frictions at once: monitoring time and structural cost. The algorithm supports continuous analysis; the absence of commission preserves the entire gross return generated for the household.
This is the range of annual fees that traditional financial intermediaries frequently charge on a managed portfolio, according to the price scales usually observed on the French market. Over several years, these compound withdrawals significantly reduce the final capital — even when the underlying strategy is successful.
The engine
Aurévaine Montelisse's engine combines statistical modeling and machine learning to adjust portfolio exposure before market fluctuations translate into significant losses.
Price, volatility and volume feeds are collected continuously from multiple sources and then normalized to be comparable across asset classes.
Predictive models estimate the probability of unfavorable scenarios in the short term and recalculate a risk score per position, updated continuously.
When the risk score exceeds a threshold defined by the household profile, the allocation is adjusted automatically, without manual intervention or additional costs.
The structural advantage
No commission is charged when buying, selling or during automatic rebalancing. The gross performance generated by the strategy goes entirely to the family assets.
1–2% / year
Management fees and transaction commissions charged regardless of the result obtained.
€0
No transaction fees. The platform's remuneration is not indexed on each order placed.
Use cases
The algorithm adapts its intervention logic according to the horizon and the declared objective of the portfolio, without parents having to manually adjust the parameters.
Education savings
The engine maintains a more dynamic exposure as long as the horizon remains distant, then gradually reduces risk as the deadline approaches, according to an automatically calculated desensitization trajectory.
Gradual reduction in the share of volatile assets in the 24 to 36 months preceding the declared maturity, with no action required from the household.
Market volatility
When a position's risk score exceeds the tolerated threshold, the engine reduces exposure without waiting for human confirmation, limiting the extent of exposure to the market shock.
Risk exposure that comes down to the household's target profile in a few recalculation cycles, instead of waiting for a manual monthly review.
Irregular income
One-off contributions are integrated into the existing portfolio and distributed according to the current target allocation, without entry fees or additional commission linked to the frequency of payments.
An allowance that remains consistent with the household objective, regardless of the rate of payments made throughout the year.
The approach
Aurévaine Montelisse is not a manual trading tool dressed up in automation. The engine combines traditional statistical models, for measuring risk, and machine learning components, to detect changes in market regimes that are difficult to spot with the naked eye.
Each adjustment decision remains traceable: the risk parameters applied to a household's portfolio are documented and viewable, so that the autopilot part is never an opaque black box.
Transparency
Data security, zero commission mechanics and limits of the model: straightforward answers.
The platform does not charge fees for the order. Its economic model is based on a subscription for access to automated management, separate from the volume of transactions executed by the algorithm. This means that the engine has no incentive to multiply movements on the portfolio.
Wallet and identity data are used exclusively for calculating recommendations and complying with regulatory obligations. They are neither sold nor used for advertising purposes.
No predictive model eliminates market risk. The Aurévaine Montelisse engine reduces exposure when uncertainty increases, but does not guarantee no loss. The risk thresholds applied are calibrated according to the profile declared by the household, and remain viewable at any time.
Yes. Automation can be suspended at any time for a given position or for the entire portfolio, without fees or waiting periods.
Access is protected by multi-factor authentication and communications between the interface and the servers are end-to-end encrypted. The calculation infrastructures are hosted by service providers subject to security standards applicable to the financial sector.
Aurévaine Montelisse operates within the regulatory framework applicable to automated financial management in France. Contractual details and regulatory information documents are transmitted before any activation of the service.
Last step
Setting up takes a few minutes. No commission will be charged on transactions, regardless of the rate of adjustments made by the engine.
Enable optimization