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Price modeling. Modeling returns focusing on overfitting prevention. We seek to deliver robust predictions while minimizing inaccuracies in tail events.

Statistical Methods. Bayesian optimization, Decision trees, Linear methods. We use tried and true models to build generalizable fittings robust to the natural randomness in the markets.

Research. We don't stop at traditional methods. With our background in information theory and genetic algorithms, we constantly innovate on improving traditional modeling process with developing machine learning theory.