We start by constructing simple systems that show consistent long-run results, We then add refinements and validate our models with real-time out-of-sample testing. We then monitor and adjust our systems after their adoption.
Our systems are often based on exploiting team mean reversion or overconfidence and public behavioral tendencies, such as recency bias or myopia. Contact us for information on how to receive our private picks.
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