Generated September 20, 2026.
Overview
DAPP and TKNZ are both technology-focused ETFs with exposure to digital assets, but they differ fundamentally in structure and scope. DAPP is a passively managed index fund tracking companies positioned to benefit from blockchain and digital transformation broadly—including infrastructure, processors, and ecosystem players. TKNZ is an actively managed crypto ETF that holds digital assets themselves (Bitcoin, Ethereum, and related holdings) rather than equities of companies building the infrastructure. The distinction matters: one offers equity-market exposure to the blockchain ecosystem, the other offers direct crypto asset exposure through an active manager's lens. Rowe Price's active management to select and weight crypto positions, introducing manager discretion and the potential for returns that diverge from a static benchmark. The second major difference is scale: DAPP has $439M in AUM, while TKNZ has $22.3M, reflecting DAPP's longer tenure (5 years years versus 2 months years). On costs, DAPP charges 0.52% while TKNZ charges 0.75%, a modest spread favoring the index approach. Suits those seeking index-based, rules-driven exposure with lower fees and a broader ecosystem perspective.
- TKNZ: Fits investors seeking direct digital asset exposure (Bitcoin, Ethereum, and related cryptocurrencies) without purchasing crypto on an exchange, and who are willing to evaluate an active manager's positioning within crypto holdings. Suits those with a long time horizon who are comfortable with crypto-native volatility. The two face different shock scenarios. With only 2 months years of track record, assessing how the fund performs across market cycles remains uncertain.
- Early inception of TKNZ: TKNZ launched in 07/16/2026, giving it no demonstrated performance through prior market cycles or extended bear markets in crypto. DAPP's longer history (since 04/12/2021) provides more data on how it behaves across conditions. The choice hinges on whether you're betting on tech companies that serve the crypto ecosystem or on crypto assets themselves—a fundamental strategic distinction, not a preference between two similar offerings. Past performance does not predict future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.