BFM — abstract financial data visualization

Artificial intelligence at the service of your strategic decisions.

Analyze massive volumes of data in real time to anticipate risks and optimize your financial returns.

Access the platform

Predictive trend overview — simulated data for illustration purposes.

From raw data to informed decision.

BFM processes complex data streams to extract actionable predictive models. Reduce uncertainty with rigorous quantitative analysis, designed for demanding professionals.

What the platform actually does.

Four technical bricks, connected to each other, to cover analysis, risk and execution.

01

Real-time predictive analytics

Identify opportunities before the market with continuous processing of data feeds.

02

Automated risk management

Security protocols continuously monitor the exposure of your assets and trigger alerts.

03

Tailor-made recommendations

Insights adapted to your investment strategy, calibrated according to your return objectives.

04

Seamless API integration

Connect your existing data sources frictionlessly, via clear technical documentation.

Total transparency.

Check out our daily updated performance logs. We don't promise, we prove by the numbers.

View public performance logs

Model accuracy graph over the last 12 months.

How to get started with BFM.

Three sequential steps, from data connection to decision notification.

1

Connection of streams

Integrate your financial or sectoral data via API or direct import.

2

Modeling

Our AI calibrates the algorithms according to your return objectives and your risk tolerance.

3

Optimization

Receive real-time decision notifications, with associated quantitative reasoning.

BFM — technical team analyzing financial data tables

An approach driven by data, not promises.

BFM designs quantitative analysis tools for professionals who wish to diversify their income through data rather than intuition.

Each recommendation is based on a documented, auditable model compared to real data published continuously.

What users ask before getting started.

How reliable are predictive models?

Models are evaluated on historical data and continuously monitored on live data. The differences between forecast and actual result are published in the performance logs, without filtering.

How does BFM secure my sensitive data?

Flows pass through encrypted connections and are isolated by account. Access is logged and limited according to a principle of least privilege.

What is the recommended minimum capital to use the recommendations?

The platform does not impose a capital threshold. Recommendations are expressed in proportions and risk indicators, adaptable to the size of your portfolio.

Ready to turn your data into assets?

Join a community of professionals who drive their growth through data.