Systematic Alpha
We design, test, and implement quantitative signals that identify repeatable patterns across equities, futures, and currencies.
Research
Our work sits at the intersection of finance, machine learning, statistics, and genomics.
Machine Learning
From supervised forecasting to representation learning, we apply ML with careful attention to overfitting and regime sensitivity.
Market Microstructure
We analyze order-book dynamics, liquidity, and execution costs to refine strategy implementation.
Portfolio Construction
Risk-aware allocation and robust optimization are central to turning signals into reliable outcomes.