Trévan Négociane — financial data analysis interface assisted by artificial intelligence
B2B Platform — AI-assisted analytics

Artificial intelligence at the service of your investment decisions

Trévan Négociane processes large volumes of financial data and converts this information into historically tested strategies. Each recommendation is based on a numerical simulation, not on intuition.

Start analysis
Interface available online. No software installation required to access dashboards.
The observation

Market noise complicates decision-making

A novice investor receives more information every day than he can analyze. This volume doesn't make the decision any easier. It makes it slower and more uncertain.

  • Growing volume of financial information, difficult to sort alone
  • Conflicting signals between sources and analysts
  • Decisions taken urgently, without historical hindsight

What Trévan Négociane does

Trévan Négociane filters market data and only keeps signals relevant to your profile. The rest - noise, rumors, occasional movements without significance - are brushed aside before reaching you.

Trévan Négociane — dashboard illustrating market data filtering
Features

Three mechanisms, one objective: less uncertainty, more precision

No feature is presented without a direct link to a concrete decision you need to make.

01 — Predictive modeling

Projections built on history, not on hypotheses

The model draws on past market data to identify statistical regularities. It does not predict the future with certainty: it assesses the probability that a pattern will happen again, based on what has already happened.

  • Analysis of price series over several market cycles
  • Detection of recurring configurations by asset class
  • Results presented with their margin of uncertainty
02 — Real-time analysis

Continuously updated data, not a static snapshot

Markets are constantly evolving. The system recalculates its indicators each time the data is updated, so that the recommendation displayed reflects the current situation and not that of the previous day.

  • Continuous updating of monitored indicators
  • Alerts when a monitored trend breaks
  • History can be consulted to compare developments
03 — Automated risk management

A systematic check, applied before each recommendation

Each proposed scenario is evaluated according to risk criteria defined in advance: volatility, exposure, correlation with the rest of the portfolio. A recommendation that exceeds these thresholds is reported, never hidden.

  • Configurable risk thresholds depending on the profile
  • Explicit reporting of high volatility scenarios
  • Complete traceability of applied criteria
Methodology

A verifiable process, in four steps

Each recommendation displayed on the platform can be traced back to the data that produced it.

1

Collection

Aggregation of market data from public financial sources and quote feeds.

2

AI processing

Cleaning, normalization, then analysis of the data using the platform's predictive models.

3

Simulation (backtesting)

Each strategy is replayed over past historical periods to measure its performance and risk.

4

Recommendation

The final result is presented with its assumptions, testing period and known limitations.

Use cases

A decision-making tool, adapted to three profiles

The analysis logic remains the same. Only the exit criteria change depending on your objectives.

Individual investor

Personal portfolio optimization

You access scenarios adapted to your investment horizon and your risk tolerance, without requiring prior technical knowledge in market finance.

Business decision maker

Strategic decision support

You evaluate the impact of allocation or investment choices based on numerical simulations, before committing resources over the long term.

Asset Manager

Multiple portfolio monitoring and arbitrage

You monitor several mandates simultaneously and quickly identify positions that fall outside the risk thresholds defined for each client.

Frequently asked questions

Confidentiality, reliability, getting started

How is my financial data protected?

Data transmitted to the platform is encrypted during transmission and storage. They are not resold or shared with third parties for commercial purposes.

Are AI models 100% reliable?

No. No predictive model guarantees a future outcome. Each recommendation comes with its backtesting results and uncertainty margin, so you can assess its robustness for yourself.

How does the startup take place?

Access is directly online, without installation. After creating the account, you enter your investment profile so that the recommendations displayed are calibrated accordingly.

Make decisions based on facts, not intuition.

Each Trévan Négociane recommendation is supported by a searchable historical simulation.

Access the platform
No installation required. Secure SaaS interface.