Valuaison combines predictive models and public performance logs to help you understand, measure and reduce your portfolio risk, with accessible vocabulary without unnecessary jargon.
Schematic representation: the differences between the bars illustrate the short-term volatility that traditional methods struggle to anticipate.
For a saver preparing for or living through retirement, the priority is not to maximize each gain, but to protect capital built up over several decades. However, market cycles have accelerated, and information now circulates continuously, making manual decisions more difficult to calibrate.
The platform does not seek to predict a course with certainty: it estimates probabilities from volumes of data that human analysis alone cannot process in a timely manner. Here are the four steps of the process.
Aggregation of market, macroeconomic and historical volatility data, cleaned and normalized before any processing.
Statistical models identify correlations and market regimes to estimate likely scenarios, with their margins of uncertainty.
Each scenario is weighted according to its potential impact on capital, prioritizing the limitation of losses rather than the search for maximum gains.
The recommendations generated are recorded in the public journal before dissemination, to guarantee the traceability of each decision.
Technical transparency note: no model, no matter how advanced, can guarantee a future result. The system's outputs are probabilistic estimates with confidence intervals, not certainties. They are designed as a decision-making tool, to be used in addition to your own judgment.
Each portfolio tracked is summarized by simple indicators — exposure, volatility, diversification — rather than difficult-to-interpret graphs. The goal is to see at a glance where the real risk lies.
Rather than a single forecast, the system presents several scenarios weighted by their probability. You thus visualize the range of possible outcomes, and not an isolated projection which would give a false impression of certainty.
A summary report is generated periodically, summarizing portfolio movements and deviations from initial forecasts. It is written to be understood without prior financial training.
Valuaison was designed for investors who prioritize capital preservation in search of exceptional returns. The models are adjusted to limit exposure to significant losses, even if it means giving up certain one-off gains.
This orientation is reflected in each recommendation: it specifies not only the potential gain, but also the maximum loss estimated in the unfavorable scenario.
Valuaison is an analysis and recommendation tool: it never directly holds your capital. Your consultation information is processed according to the data protection principles applicable in France, and no sensitive financial data is required to consult the public journal.
Yes. Models produce probabilistic estimates, not certainties. It is precisely for this reason that each recommendation comes with limitations and the full history, including inaccurate scenarios, remains visible in the public log.
No. Reports and dashboards are designed to be read without technical vocabulary. The financial terms used are systematically explained in everyday language.
Models are re-evaluated at regular intervals and whenever a significant market change is detected, so that recommendations reflect current conditions rather than an outdated situation.
Yes, access to analytics can be interrupted at any time, with no minimum time commitment to view the performance log.
Take the time to review the method and the available history. No personal information is required to access the analyzes already published.
A public newspaper rather than isolated testimonies
We do not promote individual opinions. Instead, each published recommendation remains visible in its original context, with its date and its ex post evaluation, so that the community can verify the consistency of the monitoring over time.
Verification process
Each entry in the log is time-stamped before any change in the relevant market.
Schematic representation of the history of recommendations: each bar corresponds to a time-stamped entry that can be consulted in the public log.
Publicly viewable journal
Past recommendations remain accessible, whether they prove to be correct or not.
Community review
Members can comment and compare the announced results with actual market developments.
No retrospective selection
Entries are not removed or edited once published, including when the scenario is not confirmed.