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Using statistical and mathematical models, machine learning and other techniques, we infer the behavior of financial systems and develop strategies that capture competitive advantages which we operate through computational algorithms.
We make decisions driven by empirical analysis rather than intuition. Our focus is rooted in science rather than financial theory, which is why our research team is comprised of scientists whose areas of expertise include signal analysis, astrophysics, and particle physics.
Development of investment strategies based on mathematical algorithms that deduce behavior patterns, detected from the quantitative analysis of financial data and alternative data.
Design of diversified investment portfolios that capture robust quantitative phenomena that provide investment alternatives with great potential for return and low correlation with the US market.
Active management of personal investment portfolios. Selection of instruments and asset allocation based on the risk profile of each client.
“If you are not aggressive, you are not going to make money, and if you are not defensive, you are not going to keep money.”
“In this business it’s easy to confuse luck with brains.”
“To measure is to know.”
