Élumorève processes market feeds in real time and compares each signal against decades of historical data. The proposed strategies are backtested before being exposed to your capital.
Access the platformThe system is based on three sequential stages, designed to isolate the usable signal in a noisy, multi-source data environment.
Market flows, order books and macroeconomic publications are collected continuously and standardized across dozens of financial markets, without manual intervention.
The models perform real-time inference on these series, weighting each variable according to its informative value established during the training and validation phases.
A control module filters unstable signals and applies risk management rules before any recommendation, in order to limit exposure to extreme events.
Each strategy is evaluated on extensive market histories before being made available. Past performance is not a guarantee of future results.
Schematic illustration of a series of backtested returns over rolling periods.
The indicators displayed on the platform — Sharpe ratio, maximum drawdown, success rate by market regime — are calculated from the same databases used for training the models, for the sake of methodological consistency.
The results are presented by time horizon and by asset class, so that each user can assess the robustness of a strategy in the context that concerns them.
Three additional modules, which can be used independently or jointly depending on your working method.
Immediate notification when a signal crosses the thresholds defined by your risk profile, with the market context associated with each alert.
Suggested allocation based on historical correlations between assets, updated as market conditions change.
Aggregation of textual signals from financial publications and news feeds, converted into quantitative indicators that can be used in your decisions.
The platform connects to your existing tools without imposing a break in your execution or monitoring habits.
Sign up for an account to access the analytics modules, or request a guided demo before committing.