Abstract

The “YOLO” (You Only Live Once) investment strategy, characterized by concentrated bets on high-conviction assets and a deliberate rejection of diversification, has gained prominence among retail investors. This study uses the introduction of spot Bitcoin Exchange-Traded Funds (ETFs) in January 2024 as a natural experiment to compare the outcomes of a HODL (hold-on-for-dear-life) strategy applied to three archetypal YOLO portfolios: a $10,000 investment in NVIDIA (NVDA, representing the AI narrative), a spot Bitcoin ETF (IBIT, representing the crypto narrative), and a gold ETF (GLD, representing the storeof-value narrative). A traditional 60/40 diversified portfolio (60% VTI, 40% BND) serves as the benchmark. Over the period from January 11, 2024, to March 31, 2026, NVDA achieved the highest total return (201.5%), followed by GLD (120.7%) and IBIT (41.5%), while the benchmark returned 8.1%. On a risk-adjusted basis, using a 4% annual risk-free rate, GLD exhibited the highest Sharpe ratio (1.60), and the benchmark demonstrated the lowest volatility. Bootstrap tests revealed no statistically significant differences in total returns among the three YOLO assets, nor in Sharpe ratios relative to the benchmark. Robustness checks confirm that the benchmark’s performance is insensitive to rebalancing frequency, and a behavioral stop-loss analysis shows that attempting to time the market substantially reduces returns for YOLO assets. The findings highlight the tradeoffs between absolute returns and risk, and they illustrate the behavioural challenges inherent in maintaining a HODL discipline.

Keywords: YOLO investing, Behavioral finance, Bitcoin ETF, Thematic investing, HODL, Concentration, Diversification