a seed-stage quant hedge fund ready to grow.
high yield, low correlation options trading with a consistent edge.
our core strategy is based on a unique mathematical framework developed for a first-principles approach to describing the emergence of quantum behavior. Particularly, to investigate the hypothesis of saturated equity markets approximating to at-scale quantum systems. Within this framework, regularly measurable time-like quantities (stock price, for example) are transposed into n-dimensional trajectories in a proprietary non-Hermitian quantum operator phase space. The ‘physics’ of these trajectories and their constraints allow for unique insights into the quantity’s underlying dynamics. In our case we are able to loosely characterize the ‘external forces’ of Fear and Greed acting on the price’s trajectory and consistently make trades exploiting them. Beyond profitability, continued research into this framework/hypothesis could offer novel understanding of quantum behavior and other emergent consequences of cumulative perception in general.
General Information
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Several prototype versions of the strategy were tested and tweaked over 12 consecutive months of trading, with an average capital pool of ~$100,000 to work with. The strategy performed exceptionally well at this scale, returning over 130% after fees with a near-zero correlation to benchmarks like the S&P 500 and Vanguard Real Estate Index. All 12 consecutive months saw positive returns, with an average monthly return of 9.5%, Sharpe Ratio of 1.21, and a Sortino Ratio of 3.18
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No politics. No economics. No financials.
The strategy is reliant only on free, easily accessible data that is explicitly quantitative. If a stock’s options chain is sufficiently saturated it qualifies as a tradable target. This means there are countless viable targets, including high volume equities listed on exchanges around the world.
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Successfully tested at relatively smaller scales ($1k - $100k) the next natural step is to scale an order of magnitude higher, ~$1MM. Simulation has suggested that the strategy’s performance should scale appropriately to an account value of ~$10MM, but only time and trial will tell.
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The co-founders met in 2017 while working at Harvard. Immediately becoming friends, they bonded over the sentiment that physics research is too confined by the never ending grant process. Knowing the only way to research as they pleased would be to fund it themselves, the hedge fund industry was the clear mechanism to bridge their skills to their end goal. After years of collaboration and growth the possibility has never been closer, with DEL(PHI) offering a near perfect marriage of theoretical physics and dependable funding. Once fully funded, DEL(PHI) will serve as a crucible for pure-theory research that offers monetary incentive to capital partners without strings attached to the research itself.
Managing Partners
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Carson King
Co-Founder
Carson King is a high-stakes problem solver. A first generation college student from the hills of Appalachia, he graduated Summa Cum Laude with a degree in Physics. Completing research projects at the Harvard-Smithsonian Center for Astrophysics and the NASA Goddard Space Flight Center he specialized in developing magnetohydrodynamic imaging algorithms aboard in-orbit satellites. Initially applying his algorithms to cash flow between asset classes, he founded several incubator funds to develop robust quant trading strategies. Managing a buying power of up to $1.2 million over the past several years, he specializes in high-risk, high-reward scenarios.
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Marcus DuPont, Ph D.
Co-Founder
Marcus DuPont is a trailblazing physicist with a remarkable journey. Growing up in a single-parent Haitian immigrant household, he overcame numerous challenges to become the first Black person to earn a PhD in Physics at New York University (NYU). Now a distinguished researcher, Marcus holds two prestigious prize fellowships at Princeton University, where he combines his expertise in astrophysics with groundbreaking interdisciplinary approaches including quantum mechanics and fundamental physics. Marcus’ work has earned him recognition in academia and beyond, including authorship of over six peer-reviewed publications.
Request a ‘Tear Sheet’
The strategy has been incorporated into a robust simulation engine, allowing for the almost instantaneous analysis of its simulated performance across time periods and benchmarks. If you are interested, simply fill out the accompanying form and a ‘Tear Sheet’ of performance metrics will be sent to you as soon as possible.