Research-led capital allocation

ZwoFund

A multi-strategy fund focused on long-term technology, quantitative systems, digital assets, and venture-stage opportunities.

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                  Annual performance
                  87.8%
                

Average calendar-year return from 2020 to 2025, with 2026 YTD shown below.

                  Correlation
                  0.11
                

Low beta exposure to mainstream assets, including BTC, S&P 500, and NVDA, as shown below.

                  Asset
                  Correlation
                  R²
                

                  BTC
                  0.095
                  0.89%
                

                  S&P 500
                  0.114
                  1.30%
                

                  NVDA
                  0.101
                  1.02%
                

Historical Returns

Performance context, kept transparent.

Generated from ZWO net asset values and public market data.

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Our Targets

Four ideas that shape the portfolio.

High-growth

Focus on disruptive technologies and early-stage projects where adoption can compound over time. We track usage, developer activity, market structure, and the quality of each team before sizing exposure.

Multi-strategy

Combine arbitrage strategies, quantitative trading, venture capital, and thematic research. The mix lets the portfolio shift between liquid opportunities, structured trades, and longer-horizon conviction themes.

Low-risk

Keep liquidity in view, reduce concentration, and manage correlation across high-conviction holdings. Risk review includes drawdowns, counterparty exposure, position crowding, and the ability to exit when conditions change.

Long-termism

Back assets and teams that can create durable value for digital networks and broader society. We prefer projects with resilient incentives, active communities, and a clear path from technical progress to economic value.

Our Team

A compact team across engineering, markets, and research.

Founder

K. Zwo

Ph.D. in Electrical and Computer Engineering, Stevens Institute of Technology. Focused on economic models, decentralized network design, and full-stack development.

AI Scientist

F. Kevin

M.S. in Computer Science, Massachusetts Institute of Technology. Focused on AI systems architecture and the development of quantitative trading systems.

Contact

We would like to hear from you.

support@zwofund.com