Frugacelle transforms raw, scattered data streams into actionable, structured and traceable recommendations. Each indicator displayed is based on reproducible processing, designed to support your investment decisions without replacing your judgment.
A portfolio spread across multiple platforms generates volumes of data that quickly exceed the capacity for manual analysis. Prices, volumes, correlations and market signals evolve continuously, often in formats and frequencies that are incompatible with each other.
Intuition remains useful for interpreting a context, but it becomes insufficient as soon as the sources multiply. The delay in analysis directly translates into decisions taken too late or based on partial information.
Frugacelle's models process market flows as they arrive, without waiting for periodic consolidation. Price gaps, abnormal volumes and correlations between assets are recalculated at short intervals.
The results are presented with their confidence level, so that the reading remains honest about the limitations of the model.
Frugacelle aggregates positions held across different exchanges into a single dashboard, with standardization of data formats to enable consistent comparisons.
You view a single screen instead of manually reconciling multiple interfaces, which reduces the risk of entry errors and double counting.
Each recommendation is accompanied by an assessment of the associated risk, calculated from historical volatility and cross-exposure between assets held.
Configurable alert thresholds allow you to report situations where exposure exceeds the parameters you have defined.
The processing logic is documented at each step, so that the final recommendation remains explainable rather than automatic without justification.
Price, volume and order book data are collected across all connected platforms, then standardized in a common format.
Time series are analyzed by models trained to identify recurring patterns and significant deviations from observed trends.
The results are translated into recommendations based on your stated risk profile and investment horizon.
A financial manager compares an allocation hypothesis to scenarios generated by the platform before presenting it to the committee, based on consolidated data rather than isolated estimates.
An investor monitors the distribution of his assets on several exchanges from a single dashboard, and adjusts his positions according to the risk thresholds he has previously defined.
An analysis team compares the evolution of several assets over the same time window, in order to validate or reject a market hypothesis before committing capital.
Connections to exchanges rely on permission-limited API keys, encrypted at rest and in transit. Frugacelle never has access to withdrawal rights on your connected accounts.
The models are based on prices, volumes and order books transmitted by connected platforms, supplemented by public market indicators. No non-account personal data is collected.
Integration is done by reading API connection, exchange by exchange, without migration of funds. The dashboard updates gradually as sources are synchronized.
Connect your accounts and observe how Frugacelle structures your data into readable recommendations, before deciding how you will use it.