Elorivelle continuously analyzes large volumes of market data to produce reasoned recommendations, without transaction fees or management fees. You keep the entire return generated by your decisions.
Start analysis for freeA management fee of 2% per year seems negligible when advertised in isolation. Applied over an investment period of several decades, it nevertheless removes a substantial part of the final capital, through a simple composition effect: each euro withdrawn no longer produces a return in the following years.
The majority of beginning investors do not have the necessary tools to measure this effect when they sign a brokerage contract. They evaluate a product on its promise of performance, rarely on the cumulative cost of its intermediary.
Elorivelle starts from a simple mathematical observation: removing recurring fees has a more predictable impact on net return than trying to outperform the market. Analysis by artificial intelligence completes this base, reducing the uncertainty linked to allocation decisions.
Elorivelle's predictive models process historical data series and volatility indicators to identify recurring patterns in asset behavior. The result is not an absolute prediction of the future price, but a probabilistic estimate of the risk associated with each position, updated each market session.
This approach makes it possible to prioritize opportunities according to their return/risk ratio rather than just their past performance, a common bias among uninformed investors.
Elorivelle does not charge any commission on buy or sell orders placed by retail investors. The business model is based on distinct offerings for businesses, via API access to aggregated data and larger-scale analysis tools.
This separation avoids any conflict of interest between the frequency of recommended transactions and the remuneration of the platform: Elorivelle has no financial advantage in multiplying your orders.
The internal functioning of the analysis engine is based on a logical sequence, documented at each step, rather than on opaque processing.
Market flows, public macroeconomic indicators and trading volumes are collected and normalized on an ongoing basis to provide a consistent basis for analysis.
A network of statistical models compares current configurations to comparable historical situations, to estimate a distribution of likely scenarios rather than a single value.
The results are compared with your declared risk profile, then translated into concrete recommendations, accompanied by their estimated level of uncertainty.
The example below isolates just the effect of fees over a ten-year horizon, assuming an identical gross return for both scenarios. This is a simplified illustration of the assumptions, not a guaranteed projection.
Estimated net capital after 10 years: reduced by the cumulative effect of fees
Portion of the gross return retained by the investor: approximately 68%, depending on the assumption made.
Estimated net capital after 10 years: equal to the simulated gross return
Share of gross return retained by the investor: 100%, transaction fees excluded from the equation.
Simulation for educational purposes, based on simplified hypotheses of identical gross yield in the two scenarios. It constitutes neither a guarantee of performance nor personalized investment advice.
Elorivelle is aimed at people who have never placed an order on the stock market as well as experienced investors who are tired of recurring fees. The interface presents each recommendation with its underlying reasoning, so that the final decision always remains that of the user.
No promise of guaranteed returns is made: the objective is to reduce structural costs and improve the quality of information available at the time of decision.
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Account data and streams transmitted between your browser and our servers are encrypted in transit. Access to personal information is limited to systems strictly necessary for the operation of the service, in accordance with applicable data protection obligations in France and the European Union.
The absence of fees on individual orders is financed by separate offers intended for companies: API access to aggregates of anonymized data and larger-scale analysis tools. This model avoids having the cost of the service borne by the frequency of your transactions.
No. Predictive models produce probabilistic estimates based on historical data and statistical correlations, not certainties. Each recommendation is accompanied by an uncertainty indicator, so that the final decision takes into account the model's margin of error.
Open an account with no entry fees or commission on your orders, and access a structured analysis of each position before deciding.
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