Fruit Avorance — visualization of market data streams analyzed in real time
AI market analysis

Algorithmic analysis of more than 500 market pairs, updated continuously.

Fruit Avorance processes heterogeneous data flows and produces contextualized recommendations, designed for professionals who make decisions without a dedicated trading room.

The observation

Information overload slows down decisions

A mobile professional generally follows several markets at the same time, without a fixed position or a dedicated monitoring team. Sources multiply, formats differ, and relevant signals are diluted in a continuous flow of raw data.

It is not a lack of information that is the problem. It is the absence of a filter capable of prioritizing what really deserves a decision.

500+ market pairs tracked simultaneously, with continuous recalculation of indicators with each data update.
Technology

Continuous processing rather than one-off analysis

01
Extended coverage
The system ingests and normalizes data from over 500 market pairs, regardless of their quote currency or publication frequency. Each pair is processed using the same pipeline, which avoids biases related to partial coverage.
02
Multi-factor predictive models
The models combine several families of indicators — trend, volatility, volume — rather than a single signal. This cross-weighting reduces the number of false signals generated by a single isolated metric.
03
RPM break detection
The engine identifies changes in an asset's behavior relative to its recent history, and flags significant deviations before they become visible in traditional averages.
04
Continuous update
Recalculations are carried out each time new data arrives, without waiting for a fixed refresh cycle. The analysis reflects the state of the market at the time you view it, not the day before.
Approach

A structured reading, not a black box

Fruit Avorance documents the logic behind each recommendation: the indicators used, their weighting, and the associated confidence level. The goal is not to replace your judgment, but to give you a verifiable basis on which to base it.

Each output of the system can be consulted retrospectively to understand why an alert was triggered, or why it was not.

Fruit Avorance — team analyzing market data on multiple screens
Methodology

From raw signal to actionable recommendation

01

Collection and standardization

Market data is continuously retrieved from structured feeds and then converted into a common format to enable direct comparison between pairs.

02

Calculation and weighting of signals

Each indicator is recalculated and weighted based on its historical relevance for the relevant pair, rather than a fixed rule applied to the entire market.

03

Risk assessment

The level of recent volatility and potential exposure are integrated before any recommendation generation, in order to limit signals generated during periods of excessive volatility.

04

Recommendation generation

A summary is produced, accompanied by the reasoning and the level of confidence, so that the final decision remains in your hands.

05

Continuous review

The recommendations are re-evaluated with each new data available; an alert can be withdrawn if the conditions that triggered it are no longer met.

On risk management

The system does not seek to maximize the number of alerts generated. It favors the reduction of false signals, even if it means remaining silent when the available data does not allow a sufficiently reliable conclusion.

Use cases

Two profiles, two ways to use analysis

International mobility professional

Without a fixed workstation or permanent access to a market terminal, this profile views analysis from different time zones. Alerts can be viewed at any time, without depending on a particular market session.

Fewer repeated manual checks on each tracked pair.

Diversified independent investor

For a portfolio spread across several asset classes, manual monitoring quickly becomes time-consuming. Fruit Avorance centralizes the reading of signals on all tracked pairs.

A single interface for multi-asset monitoring.

Risk management during volatile times

During rapid market movements, regime break detection helps identify pairs whose behavior deviates from their recent history.

Earlier identification of significant deviations.

Monitoring without a dedicated trading room

Independents and small structures generally do not have access to institutional desk tools. Fruit Avorance replicates some of this analysis capability, without additional infrastructure to manage on your end.

Access to continuous analysis without an internal monitoring team.
Technical questions

Before using the platform

Where does the analyzed market data come from?

The data comes from structured, aggregated and normalized market feeds before any processing. The system does not rely on a single source, in order to limit the impact of a one-off interruption from a supplier.

What is the latency between a market movement and its taking into account?

Recalculations are carried out each time new data is received, without a fixed refresh cycle. The exact time frame depends on the publication frequency specific to each tracked pair.

Which pairs are covered by the analysis?

Coverage exceeds 500 market pairs, spread across multiple asset classes. The complete list can be viewed from the interface once access is activated.

How is algorithmic risk managed?

Each recommendation includes an assessment of recent volatility before publication. In periods of marked instability, the system voluntarily reduces the number of signals emitted rather than multiplying false positives.

Do recommendations trigger automatic execution?

No. Fruit Avorance produces documented recommendations, but the final decision and its execution remain up to you.

View real-time analysis on over 500 market pairs

Enable access to view current signals and understand the logic behind each recommendation.

Optimize your decisions Learn more about the methodology