VanEck Digital Transformation ETF (DAPP) and Schwab Crypto Thematic ETF (STCE) target overlapping investor interest in the digital assets ecosystem. They do not compete directly for identical mandates but serve as alternative vehicles within the same thematic sector. Both deliver passive equity exposure to companies that derive revenue from cryptocurrency mining, trading, blockchain infrastructure, and related services. Investors seeking crypto-adjacent growth without direct digital asset ownership may evaluate them as complementary or substitutable options depending on cost tolerance and desired concentration levels.
DAPP is a passively managed exchange-traded fund that seeks to track the MVIS Global Digital Assets Equity Index. The index selects companies generating at least 50% of revenue from digital asset activities. The fund holds approximately 22 securities, with top positions typically including cryptocurrency miners and exchanges such as Hut 8 Corp, IREN Ltd, Applied Digital Corp, Block Inc, and Coinbase Global Inc. Sector allocation concentrates heavily in financial services. The expense ratio stands at 0.52%. As a market-capitalization-weighted, rules-based equity ETF, it rebalances periodically according to index methodology and maintains a global scope without direct cryptocurrency holdings.
STCE is a passively managed exchange-traded fund designed to track the Schwab Crypto Thematic Index. The index provides exposure to companies benefiting from cryptocurrency development, blockchain technology, and distributed ledger applications. The fund typically holds 37–42 securities, offering broader diversification than more concentrated peers. Top holdings often feature mining operators and technology enablers such as Bitdeer Technologies. Sector exposure spans financial services and technology. The expense ratio is 0.30%. Structured as a market-capitalization-weighted equity ETF, it follows a rules-based rebalancing process and avoids direct investment in cryptocurrencies or digital assets.
The digital assets sector encompasses companies supporting cryptocurrency ecosystems through mining, exchange services, blockchain development, and payment infrastructure. Macroeconomic factors including interest rate expectations, regulatory clarity on digital assets, and institutional adoption trends influence capital flows into the space. Recent market cycles have highlighted volatility tied to Bitcoin price movements, energy costs for miners, and evolving global regulatory frameworks. Both ETFs remain sensitive to sector rotation driven by risk appetite and technological advancements in distributed ledger technology, without direct exposure to underlying cryptocurrencies.
In recent weeks and months, both ETFs have reflected broader digital asset equity trends influenced by cryptocurrency market cycles and earnings from key holdings. DAPP’s more concentrated portfolio can amplify volatility during periods of strength or weakness in top mining and exchange names. STCE’s greater number of holdings and lower expense ratio may support relatively steadier relative positioning over longer holding periods within the same thematic environment. Differences in index construction lead to modest variations in sensitivity to specific sub-sectors such as mining versus broader blockchain applications.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to refine thematic ETF analysis.
Based on observable structural factors, Tickeron’s AI would currently assign a modest edge to STCE due to its lower expense ratio, greater diversification across holdings, and comparable thematic exposure. The cost efficiency and broader index construction may support more consistent risk-adjusted outcomes in varying market environments relative to the higher-cost, more concentrated profile of DAPP.
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| DAPP | STCE | DAPP / STCE | |
| Gain YTD | 27.526 | 26.551 | 104% |
| Net Assets | 378M | 292M | 129% |
| Total Expense Ratio | 0.52 | 0.30 | 173% |
| Turnover | 74.00 | 60.00 | 123% |
| Yield | 0.00 | 1.46 | - |
| Fund Existence | 5 years | 4 years | - |
| DAPP | STCE | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 89% | 3 days ago 87% |
| MACD ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 5 days ago 90% | 5 days ago 89% |
| BollingerBands ODDS (%) | N/A | 3 days ago 82% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
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| MFs / NAME | Price $ | Chg $ | Chg % |
| BRUHX | 18.19 | 0.19 | +1.06% |
| MFS Blended Research Value Equity I | |||
| RUNTX | 30.66 | 0.30 | +0.99% |
| Russell Inv US Small Cap Equity M | |||
| VAFNX | 32.84 | 0.24 | +0.74% |
| Invesco American Franchise R5 | |||
| GIUIX | 43.36 | 0.25 | +0.58% |
| NAA Mid Growth Institutional | |||
| FACDX | 55.86 | 0.07 | +0.13% |
| Fidelity Advisor Health Care A | |||
A.I.dvisor indicates that over the last year, DAPP has been closely correlated with CLSK. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if DAPP jumps, then CLSK could also see price increases.
| Ticker / NAME | Correlation To DAPP | 1D Price Change % | ||
|---|---|---|---|---|
| DAPP | 100% | +1.88% | ||
| CLSK - DAPP | 85% Closely correlated | +1.92% | ||
| RIOT - DAPP | 84% Closely correlated | +1.80% | ||
| HUT - DAPP | 83% Closely correlated | +2.19% | ||
| MARA - DAPP | 81% Closely correlated | +3.45% | ||
| CIFR - DAPP | 81% Closely correlated | +8.26% | ||
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A.I.dvisor indicates that over the last year, STCE has been closely correlated with CLSK. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if STCE jumps, then CLSK could also see price increases.
| Ticker / NAME | Correlation To STCE | 1D Price Change % | ||
|---|---|---|---|---|
| STCE | 100% | +1.31% | ||
| CLSK - STCE | 86% Closely correlated | +1.92% | ||
| RIOT - STCE | 84% Closely correlated | +1.80% | ||
| HUT - STCE | 84% Closely correlated | +2.19% | ||
| CIFR - STCE | 84% Closely correlated | +8.26% | ||
| MARA - STCE | 81% Closely correlated | +3.45% | ||
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