Sévelune Finance, interface for data analysis and predictive models for automated allocation

Data intelligence for your allocation, without you having to build your own models

Sévelune Finance continuously analyzes large volumes of market data and reproduces, through copy-trading, the decisions of algorithmic strategies selected according to performance and risk criteria.

Algorithmic rigor Automated allocation Transparency of decisions
Sévelune Finance, monitoring table for strategies and predictive models used in copy-trading

You follow an already analyzed strategy, you do not design it

Copy trading consists of automatically replicating, on your account, the allocation decisions of a strategy driven by a predictive model. Data analysis – volumes, volatility, correlations – remains entirely the responsibility of the system.

  • Models are selected based on a track record of performance and a defined risk profile.
  • Order execution is automated and time-stamped, without manual intervention on your part.
  • You maintain visibility over open positions and allocation parameters at all times.

Three steps, documented and repeatable

Rigor cannot be decreed, it is verified in the details of the process. This is how an allocation decision is constructed before being replicated to your account.

01

Data ingestion

Market flows, trading volumes and relevant macroeconomic indicators are collected and normalized on an ongoing basis, at frequencies appropriate to each asset class.

02

Predictive modeling

Statistical models evaluate the probability of development scenarios and identify configurations historically favorable to taking a position, taking into account the associated risk.

03

Automated execution

When a confidence threshold is reached, the order is transmitted and replicated on the accounts subscribed to the strategy, according to the allocation rules that you have previously defined.

We view passive management not as an absence of decision, but as a structured delegation of this decision to a measurable process.

The promise is not that of a guaranteed profit: no model, however rigorous it may be, eliminates market risk. Our role is to reduce uncertainty through analysis, and to clearly expose the parameters on which each proposed strategy is based.

Risk management

Each strategy incorporates rules for limiting exposure and allocation between assets, reviewed periodically as new data is integrated into the models.

Passive nature of monitoring

You define an allocation level and a risk profile; daily execution of decisions does not require arbitration on your part.

Transparency note: the past performance of an algorithmic strategy is no guarantee of its future results. Tracking information remains viewable at any time from your space.

The same data intelligence, three distinct uses

Investor

Diversify without multiplying tools

You already have an asset allocation and would like to add a component driven by quantitative models, without opening new analysis software.

Active professional

Delegate analysis, keep control of the rules

The time available to follow the markets is limited. Allocation parameters are set once, then applied automatically according to the schedule of the strategies followed.

Strategic planner

Structuring a medium-term allocation

The objective is to build, over several quarters, progressive exposure to the markets, based on consultable data rather than one-off intuitions.

Security, access and model logic

How are my funds technically protected?

Orders are executed via encrypted connections to your brokerage account, without Sévelune Finance directly holding your assets. Access to your space is based on two-factor authentication and a viewable history of each operation.

Is there a minimum threshold to start?

The entry amount depends on the allocation profile chosen and the strategies followed; the precise conditions are communicated to you when requesting access, before any implementation.

What is the logic of predictive models based on?

The models rely on historical and real-time market data — volumes, volatility, correlations between assets — to estimate scenario probabilities and adjust allocation decisions accordingly. Their parameters are documented and viewable.

Access an allocation driven by data analytics

Requesting access allows us to examine your profile and present strategies compatible with your risk constraints, before any commitment decision.

Request access Understand our approach in detail