Signals & Investment Strategies
Leverage alternative data to generate forecasts, trading strategies and investment signals using Machine Learning.
Leverage Alternative Data for Tailored Investment Signals
Get access to our quantitative Python and data science modular framework and expertise. We help you generate investment signals using alternative data and Machine Learning techniques through custom projects.
Our unique source code library offers the flexibility to rapidly leverage personalized modules and models, from anywhere, at anytime.
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
Asset Allocation
Alternative Data ESG Strategies
Volatility Forecasting
Long Only and Long Short Equity
Credit Forecasts
Risk Management
