Erivozanne combines continuous machine learning and human verification to transform volumes of market data into actionable recommendations, delivered as a daily report.
Designed for people who want to generate additional income without managing a complex dashboard themselves.
An individual who follows his investments consults on average several sources per day: prices, economic news, volatility indicators. This continuous flow makes it difficult to distinguish between a truly useful signal and simple market noise.
Making an investment decision based on an impression rather than a structured analysis exposes you to poorly measured risk. Erivozanne was designed to reduce this cognitive load, without requiring quantitative finance skills.
Three functions work continuously to transform raw data into actionable insights, with a level of transparency you can verify every day.
Market feeds are processed as they are published. Significant deviations from usual trends are identified and classified by level of relevance, before any notification.
Statistical models, trained on market histories, estimate probable short-term scenarios. This is predictive intelligence based on data, never a promise of guaranteed results.
Every day, a summary document summarizes the observed movements, the suggested decisions and their justification. You maintain a complete vision without having to interpret a technical dashboard.
The method follows three distinct steps, each verifiable in the daily report made available to you.
Market information, macroeconomic indicators and sentiment signals are collected from structured sources and standardized into a common format.
Continuous machine learning filters out incidental correlations and weights signals based on their historical reliability to reduce statistical noise.
The result is restated in plain language: what has changed, why it matters, and what action, if any, can be considered.
The same analysis infrastructure adapts to varied needs, depending on whether you are looking to grow existing savings or monitor a specific risk.
Asset allocations are reassessed based on observed correlations, to limit unintentional concentration on a single sector or geographic area.
Signals from economic news and trading volumes are aggregated to estimate whether the general climate is rather favorable or cautious, without having to read each source.
When a volatility indicator exceeds a defined threshold, an alert explains the situation and the available options, without triggering automatic action without your knowledge.
Erivozanne was designed for people who want to understand their financial decisions without having to master the vocabulary of quantitative finance. Each technical term used in our reports is accompanied by an explanation in common language.
The models used are based on recognized methods of continuous machine learning, updated as new market data becomes available. No promise of performance is associated with these models: they reduce uncertainty, they do not eliminate it.
The following answers cover the most common concerns, especially for those who don't normally work with data analysis tools.
Transmitted information is encrypted during transit and storage. Access to personal data is limited to functions strictly necessary for the operation of the service, in accordance with applicable data protection obligations in France and the European Union.
No. The reports are written in plain language and any technical terms, such as continuous machine learning, are systematically explained. No dashboard configuration is required on your part.
A report is generated each business day, summarizing observed market movements and associated recommendations. You can consult it at your own pace, without the need for continuous monitoring on your part.
Access is without minimum commitment and without prior technical configuration.
Start my analysisPast performance does not guarantee future results. Any investment carries a risk of capital loss. Erivozanne provides analysis and recommendations, not personalized financial advice in the regulatory sense.