Pécumérine continuously monitors over 500 trading pairs and applies predictive models to reduce uncertainty specific to crypto markets. You have control over every decision.
The dashboard presents, for each pair followed, a risk score, a volatility trend and a reasoned recommendation — it's up to you to decide what action to take.
The reliability of a recommendation depends first of all on the volume and freshness of the data that feeds it. This is the scale at which Pécumérine operates.
Trading pairs followed
Major and secondary markets aggregated into a single, continuously updated feed.
Continuous analysis
The models run without interruption, including outside traditional market hours.
Algorithmic precision
Latency aligned with professional standards, to limit the gap between the market event and the alert.
Every second, crypto markets generate a volume of data that manual analysis can no longer absorb. Pécumérine applies trained predictive models to isolate relevant signals and remove statistical noise, before rendering them in a directly usable form.
The objective is not to replace your judgment, but to present you with an already filtered summary, so that the optimization of your portfolio is based on verifiable elements rather than on intuitions.
Prudent investors do not expect performance promises, but proactive and understandable risk management. This is the starting point for the design of Pécumérine.
Each tracked pair receives a recalculated risk score based on its recent volatility, liquidity and correlation with the rest of the market. This score appears next to each recommendation, without being hidden behind a simplified overall score.
The platform signals situations of excessive concentration on the same asset or the same sector of the crypto market, and offers distribution alternatives consistent with the risk profile that you have defined.
When a volatility indicator exceeds a threshold that you configure, an alert is issued before the position is significantly affected. You choose to act, adjust or wait.
Algorithmic transparency is a condition of trust. Here are the three stages through which each information passes before being presented to you.
Market flows from the exchange platforms monitored are collected and normalized, in order to make initially heterogeneous data comparable.
Predictive models identify trends, volatility breaks and meaningful correlations between assets, continuously.
The results are translated into concrete decision support: risk score, alert, or rebalancing suggestion, always reasoned.
Data is collected directly from the exchanges on which the tracked pairs are listed. They are then normalized to allow a homogeneous comparison between assets, before being transmitted to the analysis models.
Access to the platform is based on dedicated authentication for each user, and no login information to your exchange accounts is required to view the analyses. The market data processed is public by nature.
Yes. Volatility thresholds, tolerated concentration level and alert frequency are individually configured, so that recommendations reflect your own risk tolerance rather than a standard setting.
Integration with your existing tools is done without additional development on your part. Request access and rate the platform on your own risk criteria.