Our approach is based on repeatable investing process, long/short
investing experience, focus on smaller market cap companies and
machine learning expertise.
We teach the machine how to think like an experienced fundamental
investor and let it learn from the data.
Repeatable, scientifically driven investing process
Our investment decisions are based on data and are rigorously tested for validity using a proprietary simulation platform.
Machine learning for investing
Our investment process takes advantage of exponentially improving compute availability and latest machine learning algorithms. We automate long/short fundamental investment strategy using structured and unstructured
Smaller market cap focus
Our universe includes 2500 companies in the US which are only 5% of the total market cap of the stock market. This strategy is too capacity
constrained and labor intensive for larger funds, allowing us to operate in noncompetitive market niche.
Pattern recognition grounded in business reality
We have domain expertise on the short and long side, we led activist campaigns and turnarounds. This experience gives us insights on what drives change in the intrinsic value over time.