Transform any dataset into forecasts, trading strategies and investment signals using Machine Learning.


Modular. Transparent. Easy to use.

SignalReveal® is our, quantitative Python and data science, modular framework. 

Our unique source code library offers the flexibility to rapidly leverage personalised modules and models, from anywhere, at anytime.

With SignalReveal®, you can create investment strategies tailored to your use-case, and instantly validate your findings through customizable visualization tools selected from a wide range of Python-based notebooks.

Data Integration

Import your datasets or existing signals to be explored.

Leverage data at a wide scale; whether it’s small, big, internal, external, traditional or alternative.

Feature Selection

Rapidly extract features and evaluate their relevance while minimizing noise and interferences.


Training / Prediction

Combine the latest Machine Learning models, to increase alpha generation, all while optimizing computing time.

Model Selection

Find the best models, amongst thousands of simulations, and avoid risks of overfitting.

Backtesting and Strategies

Generate financial forecasts and investment signals by combining machine learning models, then optimize backtest results by using our proprietary metrics.

Use cases