Automated, hedged, data-driven. Based in the New York metropolitan area.
Vector Grove seeks high absolute returns with a tightly controlled drawdown budget and low observed correlation to broad U.S. equities.
To pursue that objective, the Fund targets repeatable structural opportunities in U.S. index options markets.
Systematic execution, explicit hedging, and proprietary research infrastructure are hallmarks of the Fund's investment process.
Many investment portfolios remain structurally exposed to broad equity direction. Vector Grove is built around a different premise: targeting repeatable return drivers in liquid U.S. index options markets, including opportunities arising from options market structure, hedging dynamics, systematic execution, and intraday repricing. Proprietary signals identify when those conditions offer favorable expected returns, while the flexibility of options allows risk to be expressed, hedged, and adjusted with precision across strikes, expirations, and market regimes. Together, these capabilities support sophisticated systematic strategies designed to produce a differentiated return stream. Internal analysis has shown historically low correlation to broad equities, with performance not concentrated solely in either rising or falling markets.
Vector Grove's research architecture is designed to originate strategies from first principles. As readily accessible backtesting and automation tools have proliferated, brokers and platform providers have increasingly marketed the selection and automation of predefined trading rules as strategy development. The Fund draws a sharper distinction: backtesting is one analytical instrument within a broader scientific process, not a substitute for original hypothesis generation, proprietary signal research, or investment judgment. That distinction extends to the Fund's technology. Vector Grove uses proprietary infrastructure rather than generic commercial backtesting platforms or outside options analytics layers because options research results are highly sensitive to choices made throughout the research process, including how market data are cleaned and synchronized, how volatility surfaces are estimated, how execution is modeled, and how candidate strategies are evaluated within the portfolio and under stress. Maintaining that process in-house allows the Fund to apply a consistent research standard from raw data through portfolio-level validation.
The research program is led by university professors and Ph.D.-trained researchers with established records of original scientific work spanning applied mathematics and engineering, including stochastic dynamical systems, feedback control, data and decision sciences, optimization, and machine learning. That scientific grounding shapes how investment ideas are developed. Strategy development begins with explicit hypotheses about U.S. index options market structure, pricing, hedging, intraday repricing, and portfolio interaction. Each hypothesis is formalized mathematically, tested through simulation and stress scenarios, evaluated within the broader portfolio, and validated before capital is deployed. The team also brings decades of hands-on experience developing, deploying, and managing systematic strategies with real capital alongside their academic careers, including sustained capital compounding across changing market environments. The Fund's research therefore combines scientific depth with the practical disciplines of execution, risk management, and portfolio management in live markets.
U.S. index options markets offer depth across indexes, expirations, strikes, option structures, and hedges. Broad-based indexes diversify exposure across many constituent stocks, generally reducing volatility relative to individual stocks and limiting the effect of a sharp move in any one company to its weight in the index.
Vector Grove's research effort is led by university professors and Ph.D.-trained researchers who combine backgrounds in applied mathematics and engineering with decades of hands-on systematic trading experience. Detailed biographies are shared confidentially with qualified investors during diligence.
Vector Grove's operating framework extends across the full investment lifecycle, from research and deployment through systematic trading, portfolio monitoring, reconciliation, compliance, and investor reporting. Automated workflows operate within documented controls and human oversight, with reviewable audit trails maintained throughout the process.
Brokerage report (account identifiers removed) from inception to September 4, 2026. The numbers shown are before fees. Fund terms include a 2% management fee and 20% annual performance fee with high-water mark.
Loading report...
Qualified accredited investors pursuing serious diligence may request a confidential video call or, where appropriate, an in-person meeting with the investment team in the New York metropolitan area. Complete allocator context helps us prioritize substantive requests and discuss the research program, team background, and potential fit efficiently.
This form is reserved exclusively for qualified investor diligence and existing investor relationships.