Harness the power of predictive models to turn your data into growth opportunities and minimize your financial risks.
The dashboard aggregates market feeds, calculates a risk score per position and publishes each recommendation in a searchable log, before and after execution.
Each recommendation issued by the predictive engine is time-stamped and archived. Real-time data remains viewable, regardless of the result obtained.
Each recommendation is archived as soon as it is issued, before any confirmation of results.
All market cycles covered by the platform remain accessible to registered users.
Stocks, currencies, commodities and indices are ingested in parallel by the analysis engine.
The operation of the model is described before registration, without exposing the proprietary parameters.
Three pillars structure the engine: data ingestion, risk assessment and execution at scale.
The engine crosses order books, economic news and sentiment indicators to produce a consolidated reading of the market, updated continuously rather than at fixed intervals.
Each position is associated with a risk score calculated on historical scenarios and inter-market correlations, making it possible to anticipate sensitive arbitrage points.
The infrastructure applies the same decision rules to an increasing volume of positions, without degradation of processing time or repeated manual intervention.
Juste Capitholm develops predictive models applied to financial markets. The objective remains constant: to reduce the time between the appearance of a signal in the data and the resulting decision.
The technical team combines data engineering and human supervision on risk parameters, in order to limit biases linked to new market configurations.
Learn more about the platformThe process takes place in three steps, without exposing the internal parameters of the model.
Market flows, macroeconomic data and news sources are collected and normalized continuously, before any analytical processing.
The engine applies its risk classification and scoring models, eliminating anomalies that would distort the reading of the market.
Recommendations are prioritized according to the risk-return pair, then transmitted to the user or to automated execution, reducing the weight of human bias.
The recommendations adapt to the decision horizon of each user, from the long term to the very short term.
Distribution of positions according to an aggregated risk score, revised with each significant change in the data flows monitored.
Identification of favorable windows for deployment, by combining macroeconomic conditions and technical indicators.
Alerts on intraday valuation gaps, with a risk level calculated before any position is taken.
Direct answers to the most frequent points of vigilance before integration.
Flows pass through encrypted connections and personal data is processed in accordance with the GDPR. No account data is shared with third parties for commercial purposes.
A documented API allows the platform to be connected to existing execution or reporting systems, without dependence on a single interface.
The calculation time is optimized for intraday uses. The exact latency depends on the selected data stream volume and is shown in the performance report.