Prévisions IA continuously analyzes large volumes of market data and transforms these signals into understandable recommendations, so you can decide with more perspective and less uncertainty.
Strategies validated by backtesting on more than 10 years of historical dataPrévisions IA bases most of the analysis work on predictive models: algorithms trained on long series of historical data to identify regularities and estimate probable scenarios. The result comes to you in the form of clear recommendations, accompanied by an explanation in fluent French of the reasoning followed.
Simplified illustration of the processing flow: Each incoming data is analyzed before a recommendation is presented to you, without unnecessary technical jargon.
The platform continuously gathers market data from several sources: prices, trading volumes, and relevant economic indicators. This collection feeds the models with up-to-date information, without manual intervention on your part.
Predictive models — algorithms that learn from past data to estimate probable future trends — cross-reference this information with patterns already observed in the past, in order to identify plausible scenarios.
Before any suggestion, the system applies risk optimization: it adjusts recommendations based on the estimated level of volatility, in order to avoid disproportionate exposure to a single scenario.
Models produce probabilistic estimates, not certainties. They are retrained periodically to take into account recent data, and their parameters remain viewable on request.
Backtesting involves applying a strategy to past data to observe how it would have performed, without committing any real capital. This is the step that precedes any recommendation proposed by Prévisions IA.
Schematic representation of a cumulative performance simulation on historical data. The exact values and the complete methodology are detailed in the backtesting report, which can be viewed from your space.
Past performance, including simulated by backtesting, does not guarantee future results. Financial markets carry a risk of capital loss. The test methodology and the hypotheses retained are documented and transmitted upon request.
Once you have entered your risk preferences, the system suggests allocation adjustments based on changing market data. You don't have to configure anything technically: each suggestion is accompanied by an explanation in everyday language.
The dashboard translates the risk indicators into accessible formulations: estimated level of volatility, degree of concentration, and safety margin retained by the model. The goal is for you to understand your situation at a glance.
Rather than multiplying alerts, the system only notifies you when a change deemed significant by the model occurs, in order to avoid information overload and give you time to think.
The data transmitted to the platform is encrypted, and access to your space requires personal authentication. Prévisions IA makes recommendations; the holding of your assets remains your responsibility or that of the establishment you choose, so that you maintain control of your capital at all times.
No. The interface was designed for people without training in finance or data science: technical terms are systematically explained in fluent French. You yourself define the amount you wish to allocate, and you can adjust your risk preferences at any time from your space.
The system does not make decisions for you: it analyzes historical and current data to estimate likely scenarios, then provides you with a recommendation along with its reasoning. Predictive models are based on probabilities, not certainties, and their limits are reminded with each recommendation.
View backtesting results, walk through how the models work, then decide if this approach fits how you want to manage your capital.
Request a demoNo credit card required. No long-term commitment.