Multi-source aggregation
Feeds from multiple exchanges and market bases are standardized into a common format, allowing heterogeneous assets and indicators to be compared without loss of context.
FrancePulse aggregates your market and treasury data, then applies a predictive model to identify opportunities and flag areas of risk, before you make an investment or management decision.
Continuous multi-source flow analysis, available for freelancers and financial teams alike.
Each recommendation produced by FrancePulse is based on an identical processing chain: collection, calculation of probabilities, then risk assessment.
Feeds from multiple exchanges and market bases are standardized into a common format, allowing heterogeneous assets and indicators to be compared without loss of context.
A statistical model calculates short- and medium-term probabilities of change, taking into account the correlations observed between asset classes and economic cycles.
Each recommendation is accompanied by a risk score calculated from historical volatility and estimated exposure, in order to qualify the reliability of the signal.
The dispersion of data over several exchange interfaces complicates monitoring and delays the decision. FrancePulse centralizes these flows into a single interface, providing immediate operational clarity across the entire portfolio.
We describe the process of processing, from the collection of raw data to the recommendation transmitted, without any hidden intermediate step.
Raw market, transaction and treasury data are collected continuously from connected sources, then time-stamped and verified before processing.
The predictive engine calculates probabilities of evolution and detects significant correlations between the variables monitored, based on the available history.
The result is returned in the form of a dated recommendation, accompanied by its risk score and the variables that motivated the calculation.
These applications illustrate situations where structured analysis replaces a decision based on intuition alone.
A freelancer adjusts his monthly arbitrations according to trend signals, which becomes a growth lever for regular additional income.
Cash flow projections now include probabilistic scenarios rather than a single hypothesis, which refines the anticipation of liquidity needs.
Cross-reading several platforms makes it possible to identify valuation gaps and reduce risk exposure on concentrated positions.
Self-employed people and individual investors often deal with varying incomes and multiple data sources to monitor. FrancePulse was designed to bring together this scattered information and provide a coherent analysis framework, without requiring technical statistical skills.
The platform does not replace the user's judgment: it provides additional calculation elements to support a decision already being considered.
Learn more about FrancePulseThe following points answer the most common questions regarding the origin of the data and the reliability of the model.
Transmitted data is encrypted in transit and at rest, and its processing complies with the requirements of the General Data Protection Regulation (GDPR). No data is transferred to third parties for commercial purposes.
The aggregator supports several common exchanges and market sources. The list of available integrations is detailed during account configuration, depending on the nature of the assets tracked.
The model produces probabilities and risk scores calculated from historical data; it does not guarantee a future result. Each recommendation indicates the variables used to enable independent verification.
Connect your first data sources to get a first consolidated reading of your exposure and opportunities, before making a financial decision.
Start analysisGDPR compliant processing. No automatic decisions are made without user validation.