As co-founder and the architect of ART's proprietary investment strategy, Chris developed the algorithm that powers our firm. With a Masters in Materials Science and Engineering specializing in nonlinear modeling, his work challenges the conventional view of efficient markets. With combined decades of research and trading experience, Chris is pushing the boundaries of what can be done with systematic portfolios of securities.
As co-founder of ART, Patrick directs the firm's compliance and business development efforts. Drawing on a decade of experience as a Naval Intelligence Officer, he brings a disciplined approach to business management and strategic planning, embodying the firm's 'Bold but Prepared' ethos. His leadership, honed in both high-stakes operational environments and board rooms, is integral to executing ART's long-term vision.
We operate from a core belief: that even the most-watched public stock markets are not perfectly efficient. Our purpose is to systematically identify and exploit these structural inefficiencies.
To do this, we develop proprietary, algorithm-driven strategies focused on mid- to mega-cap equities. Each strategy is a unique blend of nonlinear modeling and disciplined risk management, and in a nod to our name, each is titled after a famous work of art.
Our process is centered on a proprietary algorithm designed to identify structural market inefficiencies that skew future returns. We deploy an ensemble of strategies that operate on both daily and weekly cadences, executing trades at predetermined times. This systematic approach is best described as a market-neutral medium-frequency index rebalancing arbitrage strategy, focused on capturing alpha in mid-, large-, and mega-cap stocks.