Melyra Selyris, predictive analysis interface used remotely by a mobile investor

Predictive intelligence applied to investment

An analytics engine that drives your financial decisions while you're away.

The model learns your risk tolerance once, then continually adjusts its recommendations based on market movements. No manual monitoring is required to maintain policy consistency.

Access predictive intelligence Understand how it works

Simultaneous analysis of several dozen market indicators, with automatic recalibration of the risk profile at each decision cycle.

System mechanics

An engine that learns your risk tolerance, without repeated intervention

During initial setup, Melyra Selyris collects a set of parameters relating to your investment horizon, acceptable loss capacity, and return goals. These parameters feed an algorithmic adjustment model that recalibrates its decision thresholds as new market data is observed.

Multi-criteria analysis combines signals of volatility, liquidity and correlation between assets. The system doesn't just apply a fixed rule: it weights each signal according to the profile you define, then adjusts this weighting when market behavior changes in a lasting way.

Reassessment frequencyContinue

Crossed signals per cycle40+

Profile adjustmentAutomatic

Manual intervention requiredMinimal

Mobility Compatibility

An architecture designed to function without your continued presence

Configuration is done once, from any access point. The rest of the cycle takes place in the background, including when you are offline or on the move.

Setup

You define your risk profile, your liquidity constraints and your objectives. This step takes a few minutes and does not require periodic feedback.

Learning

The engine observes your possible manual adjustments and refines its decision model to more accurately reflect your actual risk tolerance.

Continuous optimization

Recommendations are recalculated at each significant market change, with no action required on your part, wherever you are.

Access from a mobile terminal

The summary table can still be viewed from a standard mobile browser, with a deliberately limited loading time to remain usable on an unstable connection. No dedicated app is needed to track wallet status.

Methodology

Analytical accuracy and data flow integrity

The credibility of the system is based on the quality of its sources and the speed of its decision cycle, rather than on marketing indicators.

< 2s

Processing latency

Average time between receipt of a market signal and its integration into the recommendation model.

Multi-stream

Data sources

Aggregation of market flows, macroeconomic indicators and volatility measures in real time.

Encrypted

Data transport

Exchanges between sources and the analysis engine are end-to-end encrypted.

Traceable

Decision logging

Each recommendation is time-stamped and associated with the signals that produced it, for a posteriori control.

Analysis infrastructure hosted and monitored from the Melyra Selyris offices in Rennes.

Use cases

Two distinct trajectories, the same analysis engine

The model does not offer a single strategy. It adapts the nature of its recommendations according to the objective you declared during configuration.

Cautious growth

Priority to capital preservation

The engine favors assets with low volatility and limits exposure during periods of increased uncertainty.

Automatic exposure reduction in case of peak volatility
Strengthened diversification between asset classes
Spaced recommendations, oriented over time

Dynamic opportunism

Priority to seizing favorable windows

The engine increases the frequency of analysis and flags market gaps that could generate short-term advantage.

Accelerated trend break detection
Higher tolerance for short-term volatility
More frequent recommendations, with specified action windows

Melyra Selyris, technical team working on the predictive analytics engine

About Melyra Selyris

An analysis architecture designed for sustainability, not for demonstration effect

Melyra Selyris develops a decision engine aimed at investors who wish to delegate continuous market monitoring without relinquishing control of their strategy. The engineering work mainly focuses on the quality of the data ingested and the stability of the risk model over time.

The technical team, based in Rennes, maintains the entire analysis chain: collection of flows, calibration of models, and supervision of decision latency. No aspect of the system is outsourced to third parties for the predictive part.