Supervised Machine Learning utilized to predict future price anomalies and autonomously adjust trading strategy calibration to simultaneously maximize return and Sharpe ratio.
Unsupervised Machine Learning utilized to detect unknown risks – Finding what we don’t know that we don’t know.
RoboSig technology integrates with any bank, prime broker, or private execution infrastructure. Custom integrations are possible via a one-time setup/development fee.
The RoboSig un-levered CMA strategy targets gross returns of ~2-3% per annum and our levered ALPHA solution targets returns of 8 - 15% (or higher depending on available leverage), both with a Sharpe ratio above 2.