Investor Summary

Timothy Liu, Managing Partner and Founder of Meditation Capital Management, graduated summa cum laude from the Wharton School of the University of Pennsylvania with a BS in Economics. Prior to founding Meditation Capital Management in 2022, Liu served as Head of Asia at Third Point and Head of Consumer and Tech at Scopia Capital, a $6 billion long/short hedge fund. He is a veteran investor in global tech and consumer sectors, bringing extensive experience from large institutional platforms to create a more focused, research-intensive investment approach. Liu's background demonstrates deep expertise in both Asian markets and consumer/technology sectors, which is reflected in the fund's current portfolio composition and global research focus. His transition from established hedge funds to founding his own firm represents a commitment to transparency and quality-focused investing, as evidenced by the fund's practice of publishing detailed quarterly letters publicly.

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Fund Strategy

Meditation Capital Management is a long-only manager with a focus on investing in quality companies with exceptional products. The fund seeks win-win outcomes between businesses and customers while targeting unusually low, underappreciated multiples. The investment approach emphasizes counter-positioning strategies where new business models attack markets in ways incumbents cannot copy without damaging existing businesses. Heavy emphasis is placed on valuation as a key source of downside protection, with the philosophy that high multiples damage medium/long-term IRRs under most conditions. The fund maintains patience with high cash balances when suitable opportunities are scarce, prioritizing quality investments over forced deployment. The goal is to generate high rates of return while striving to continually maintain safety of principal through long-term, deliberate, and safety-focused investing aimed at compounding capital at high rates.

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FUND PERFORMANCE AS OF 31st December 2025

ANNUALIZED SINCE INCEPTION QUARTERLY YTD
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