We make crypto assets investable
Institutions and individual investors seek thoughtful, risk-aware access to this emerging asset class. S2F provides institutional-grade oversight, research, and execution to help navigate a volatile yet opportunity-rich market.
Guided by Discovery and Discipline
S2F is led by a multidisciplinary team with backgrounds in engineering, data science, the natural sciences, and institutional investment management. Our collective expertise spans mathematics, statistics, computer science, and portfolio management. Founding members of our team have been involved in digital assets since 2014, offering long-term market familiarity that informs our research perspective.

Our story, year by year
2020
Foundational phase
Initial development of discretionary, on-chain analytics-driven investment approaches, executed manually with an emphasis on market structure research.
2021
Early research acceleration
Initiated exploration into momentum and trend signals across digital-asset markets.
2022
Risk-first discipline
Built and refined quantitative risk-management tooling, focusing on downside mitigation, volatility filtering, and regime identification.
2023
Systematic transition
Expanded our research team, introduced formal model governance frameworks, and began developing internal execution pathways for systematic trading.
2024
Integration of systematic components
Launched live testing of S2F’s AlphaTrends architecture, incorporating blended momentum and mean-reversion signals under a structured execution environment.
2025
Full quant implementation
Completed migration to a fully systematic strategy in July, operating as an entirely signal-driven, execution-optimized trend-following fund.
A systematic framework designed to achieve three core objectives

Diversification
Systematic exposures that complement traditional allocations and introduce differentiated, non-correlated return drivers.

Risk-Adjusted Returns
Models engineered with an emphasis on robustness and discipline, aiming to improve portfolio efficiency across diverse market regimes.

Managed Volatility
Adaptive positioning guided by volatility and regime-sensitive signals to help reduce drawdowns and smooth return profiles through time.
Our Team
Our team blends quantitative rigor with deep market understanding to create systematic investment strategies designed for institutional portfolios.

Micah Spruill
Managing Partner | CEO & CIO

Malon Courts
Managing Partner | Chairman

Brian Robbins
Managing Partner | CFO & COO

Gabriele Di Gesu
Partner | Head of Research

Joseph Zambrano
Partner | Head of Execution

Scott Paterson
Head of Capital Formation

Cameron Odell
Quant Analyst

Joel O’Connor
Quant Analyst

Willy Woo
Partner | Quant Advisor
