Titrésonde, financial data analysis platform driven by artificial intelligence

Investing driven by data, not intuition.

Titrésonde takes the emotion out of the investment decision. Our models process market history to offer strategies already proven in past cycles, before they are recommended to you.

Discover our strategies
Illustration — validation on historical cycles

Each strategy is replayed over several market periods before being presented.

The financial markets remain difficult to read for those who do not make it their profession.

Thousands of stocks, continuous information flows, overlapping economic cycles: the amount of data available far exceeds what an individual investor can process alone. This complexity often leads to decisions being made urgently or by imitation, rather than on solid foundations.

Titrésonde does not simplify the markets themselves. We process their millions of data points to extract actionable recommendations, so you can decide without having to become a financial analyst.

A three-step process, documented at each level.

  1. 01

    Real-time data ingestion

    Market flows, economic publications and financial indicators are collected continuously, without manual intervention, in order to limit the time between an event and its analysis.

  2. 02

    AI-Driven Predictive Modeling

    The models identify relationships between market variables and evaluate likely scenarios. They are retrained regularly to take into account changing economic conditions.

  3. 03

    Backtesting and historical validation

    Before any promotion, each strategy is compared to past market cycles, including correction periods, in order to measure its behavior under adverse conditions.

Why backtesting matters

A recommendation that has not been confronted with history remains a hypothesis. We consider backtesting as a mandatory step, not as a commercial argument: it serves to rule out strategies that do not resist market declines, not just to validate those that work in favorable times.

What the platform actually changes in the way you decide.

01 — Risk management

Controlling volatility

The models adjust the recommended exposure based on the volatility measured on each asset, in order to limit excessive exposures during periods of instability.

02 — Decisional clarity

Real-time alerts

You are informed when a significant change affects your portfolio, with the context needed to understand the recommendation without having to interpret it alone.

03 — Accuracy to scale

Scalable wallets

The same rigor of analysis applies to an individual portfolio or a corporate treasury, without degradation of precision when the number of positions increases.

Two profiles, two objectives, the same analysis method.

Scenario 1

Individual investor, long-term savings plan

You want to build up capital over several years without following the markets daily. Titrésonde offers an allocation tailored to your time horizon and risk tolerance, then rebalances it when market conditions change significantly.

Strategic decision: favor the regularity of payments and the discipline of allocation rather than the occasional choice of a security.

Measurable result: a documented history of decisions, consultable at any time, which makes it possible to check the consistency of choices over time.
Scenario 2

Strategic advisor, corporate cash flow optimization

A financial department must place excess liquidity without compromising the company's ability to access it quickly. The models identify trade-offs between liquidity, return and risk, with scenarios tested in several economic contexts.

Strategic decision: structure cash flow by availability horizons rather than by isolated return opportunity.

Measurable result: arbitration reports comparable from one quarter to the next, usable in the management committee.
Titrésonde, financial data analysis team and tools

A data analysis team applied to financial markets.

Titrésonde was designed for investors who have neither the time nor the training to follow the markets on a daily basis, as well as for decision-makers who need to justify every financial arbitrage. Our job is to transform raw volumes of data into reasoned recommendations, without promising results that are not based on verifiable analysis.

We publish the logic of our models and the limits of our recommendations, because confidence in a decision support tool is built on what is shown, not on what is stated.

Learn more about our approach

The questions we ask most often about our models.

How does the algorithm actually work?

The models analyze price histories, macroeconomic indicators and volatility signals to estimate likely scenarios. The decision criteria and their weightings are documented and viewable, so that the recommendation does not remain a black box.

Where does the data used come from?

We rely on public market data, official economic publications and proprietary indicators constructed from these sources. No sensitive personal data is involved in the modeling of strategies.

How are risk limits set?

Each strategy includes maximum exposure thresholds per asset and per sector, defined before backtesting. These thresholds aim to prioritize the preservation of capital, including when a market scenario deteriorates rapidly.

Take control of your financial future.

Start with an analysis of your current situation. You will receive an assessment based on your objectives and risk tolerance, before any strategy recommendation.