Comment mes données sont-elles protégées ?

Les données transmises sont chiffrées en transit et au repos. Vélantis Pro 7.2 opère dans le respect du RGPD applicable en France : les données personnelles ne sont conservées que pour la durée nécessaire au fonctionnement du service et peuvent faire l'objet d'une demande d'accès ou de suppression.

Comment le moteur Pro 7.2 gère-t-il la volatilité de marché ?

Le modèle recalibre ses seuils de risque lorsqu'il détecte une hausse significative de la volatilité par rapport aux moyennes historiques de l'actif concerné. Cette recalibration limite l'exposition automatique pendant les phases identifiées comme instables, sans suspendre l'analyse.

Quel est le délai entre une donnée de marché et une recommandation ?

Les flux de prix et d'indicateurs sont traités en continu ; le délai de traitement dépend du type de donnée et de la complexité du calcul associé, mais reste conçu pour rester compatible avec une prise de décision dans la même session.

Vélantis Pro 7.2, financial data analysis and backtesting interface

Decision intelligence applied to investment

Investment decisions built on historical performance, not intuition

Vélantis Pro 7.2 transforms volumes of market data into structured recommendations. Designed for investors new to the markets, the tool translates each statistical signal into an actionable step, without requiring programming or quantitative finance skills.

Start analysis View backtests

12 years historical data integrated into the simulation engine

-100% decisions made without manual intervention in real time*

D+0 time limit for updating recommendations*

The observation

Market noise makes it difficult to read real trends

Between daily fluctuations, emotional reactions and contradictory news flows, distinguishing a lasting signal from a temporary variation requires time and a discipline that few individuals maintain over time. Manual analysis remains susceptible to a known bias: the tendency to overreact to recent losses and underestimate long-term patterns.

Vélantis Pro 7.2's predictive models process data unrelated to the current emotional state.
Each recommendation is based on comparable historical series, not on market opinion.
The interface reformulates statistical results in clear language, without unnecessary jargon.

“The market does not get simpler with experience. What changes is the ability to filter relevant information. » — It is precisely this filtering function that Vélantis Pro 7.2 automates, relying on models trained on past market cycles rather than unverifiable forecasts.

Vélantis Pro 7.2, technical team working on financial data models

Approach

A platform designed for rigor, not for promise

Vélantis Pro 7.2 was designed around a simple principle: no recommendation is displayed without first being compared with past market data. The engine does not make absolute predictions; it quantifies probabilities and margins of error, and presents them in a way that is readable for an investor without quantitative training.

This methodological discipline results in a deliberately sober interface: fewer decorative indicators, more context on the reliability of each signal.

Historical proof

A backtesting engine faced with several market cycles

Before a strategy is proposed, it is simulated over historical periods including phases of rise, correction and high volatility. The results below are simulated metrics from these tests; they describe past behavior of models, not a guarantee of future performance.

-18%

Reduced drawdown

Drawdown measures the maximum loss observed between a portfolio peak and trough. This reduction is observed by comparing the optimized strategies to an equivalent static allocation.

71%

Predictive accuracy

Proportion of directional signals (up/down) confirmed over the historical testing window, measured over a rolling 30-day horizon.

0.94

Risk-Adjusted Return

Ratio relating the return obtained to the volatility supported to achieve it. A higher ratio indicates a return obtained with fewer sudden variations.

12 years

Data depth

Number of years of price, volume and macroeconomic indicator series used to train and validate the models.

Methodological note: volatility refers to the amplitude of price variations over a given period; high volatility does not automatically mean poorly controlled risk, but a amplitude to be integrated into the sizing of positions. All metrics above are based on historical data and internal simulations; they constitute neither a promise of return nor personalized investment advice.

Features

Three core capabilities of the Vélantis Pro 7.2 engine

01 — Analysis

Multi-source analysis

The engine continuously cross-references market data (prices, volumes, technical indicators) with economic and financial news feeds. It identifies correlations between published events and historically observed price movements, then weights each signal according to its past reliability rather than its media visibility.

02 — Risk

Automated risk management

Security rules are defined upstream: volatility thresholds, exposure limits per asset, and alert triggers in the event of an abnormal deviation from the tested scenarios. These safeguards apply uniformly, without emotional adjustment during the session.

03 — Follow-up

Real-time alerts

When a monitored indicator crosses a threshold relevant to your risk profile, a notification is generated with the associated statistical context: amplitude of movement, comparison with similar historical episodes, and possible actions.

Getting started

Three steps to configure your analysis

Integration does not require any particular technical skills: configuration is done via guided forms, not code.

Connect your data streams

Link your brokerage accounts or import portfolio histories. The data remains encrypted and is only used to calculate recommendations.

Define your risk objectives

Indicate your investment horizon and your tolerance for volatility. These parameters determine the guardrails applied by the engine.

Receive optimized recommendations

The engine offers portfolio adjustments accompanied by their statistical justification, which you validate or adjust before any execution.

Usage profiles

One engine, three distinct uses

Individual investor Asset manager Independent analyst

Individual investor

For a person who manages their savings outside of any professional activity related to finance, Vélantis Pro 7.2 replaces hours spent comparing graphs with a hierarchical summary. The objective is not to multiply operations, but to reduce uncertainty before each decision.

Asset manager

For a professional following several client portfolios, the engine centralizes risk signals by allocation and documents each recommendation with its historical basis, which facilitates discussions with clients during portfolio reviews.

Independent analyst

For a solo analyst, Vélantis Pro 7.2 serves as a first layer of filtering on large volumes of data, leaving more time for qualitative interpretation and the formulation of reasoned recommendations.

Technical questions

Security, model logic, and data latency

How is my data protected?

Transmitted data is encrypted in transit and at rest. Vélantis Pro 7.2 operates in compliance with the GDPR applicable in France: personal data is only kept for the duration necessary for the operation of the service and may be subject to a request for access or deletion.

How does the Pro 7.2 engine handle market volatility?

The model recalibrates its risk thresholds when it detects a significant increase in volatility compared to historical averages for the asset concerned. This recalibration limits automatic exposure during phases identified as unstable, without suspending the analysis.

What is the time between market data and a recommendation?

Price and indicator feeds are processed continuously; the processing time depends on the type of data and the complexity of the associated calculation, but remains designed to remain compatible with decision-making in the same session.