Augmented intelligence
Fondaviu transforms volumes of market and company data into actionable signals, documented from the first calculation to the observed result.
Discover the platformThe observation
Every day, markets produce more data than an analyst can reasonably review. In this context, relying on intuition alone exposes itself to costly biases, especially when volumes and volatility increase at the same time.
For an investor who manages his portfolio in parallel with a main activity, this imbalance often results in decisions taken too late, or based on partial information.
Fondaviu structures this continuous flow of information to extract usable signals. The platform doesn't replace your judgment: it documents it with verifiable data, reducing the time spent on manual analysis without sacrificing rigor.
Our method
Fondaviu was built around a simple principle: a recommendation only has value if its result can be compared with what really happened. The models, hypotheses and observed results are therefore kept in the same history, accessible to users of the platform.
This requirement for traceability guides each technical choice, from the selection of input data to the frequency of updating predictive models.
Technology
Each signal produced by Fondaviu relies on documented methods, tested before going into production and re-evaluated as new data arrives.
Our models are based on historical series and cross-validation tests before being put into production. Each forecast is accompanied by a confidence interval, which allows its reliability to be measured rather than assumed.
Each signal is weighted according to volatility, liquidity and exposure criteria. The objective is not to maximize a theoretical return, but to limit the extent of potential losses in unfavorable scenarios.
The framework processes data streams as they are published, whether a few positions or several hundred tracking lines. The time between the event and the signal update remains measured and viewable.
Evidence and method
Each recommendation issued by Fondaviu is time-stamped and retained, whether it was followed or not. This traceability makes it possible to compare the announced results with the results actually observed, without selecting favorable cases after the fact.
Subscribers can view the full history and report any discrepancies between the signal and its result. This cross-check, carried out by the user community, complements internal audits and reinforces the reliability of the log over time.
Use cases
You manage several lines of a diversified portfolio alongside a main activity. Fondaviu's signals identify significant movements and leave you with the final decision whether or not to adjust your allocation.
A management team needs to identify weak signals in sector and budget data. These indicators feed the decision-making committees before the trend becomes visible in the figures.
An analyst must justify the positions taken on behalf of a company. The performance log and confidence intervals associated with each signal simplify internal reporting and discussions with management.
Frequently asked questions
The data transmitted to Fondaviu is hosted within the European Union and processed in accordance with the GDPR. You maintain control over the data you share with the platform at all times and can request its deletion.
The models are retrained at regular intervals using new market data and are subject to a drift check before each release into production. Version changes are logged in the performance log.
The performance log lists each signal emitted with its date and its observed result, whether it was favorable or not. This history can be consulted by all subscribers, without prior selection of the most favorable results.
Join users who base decisions on documented signals and searchable history, rather than unverified hunches.
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