Investors seeking exposure to the digital assets sector often evaluate specialized equity ETFs that capture different segments of the ecosystem. VanEck Digital Transformation ETF (DAPP) and CoinShares Bitcoin Mining ETF (WGMI) both target companies involved in digital transformation and cryptocurrency infrastructure, yet they pursue distinct strategies. DAPP follows a passive index methodology with wider digital assets coverage, while WGMI employs active management focused exclusively on Bitcoin mining. These funds do not compete directly but offer complementary or alternative approaches for investors pursuing thematic exposure to blockchain technology, cryptocurrency adoption, and related infrastructure growth.
VanEck Digital Transformation ETF (DAPP) seeks to track the MVIS Global Digital Assets Equity Index. The index selects global companies that generate at least 50% of revenue from digital assets activities. The fund holds approximately 22 securities in a market-capitalization-weighted structure. Top holdings typically include mining operators such as Hut 8 Corp, Iris Energy Ltd, and Applied Digital Corp, alongside infrastructure names like Coinbase Global Inc. and Block Inc. Sector allocation is heavily weighted toward financial services. DAPP charges an expense ratio of 0.52% and follows a passive, rules-based rebalancing approach. The ETF does not invest directly in cryptocurrencies or derivatives, focusing instead on equity exposure to the digital assets economy.
CoinShares Bitcoin Mining ETF (WGMI) is an actively managed fund that invests at least 80% of assets in companies deriving at least 50% of revenue or profits from Bitcoin mining or related services such as specialized hardware and software. The portfolio typically contains 27 to 28 holdings. Top positions generally feature Bitcoin miners including Iris Energy Ltd, Hut 8 Corp, and similar operators. WGMI maintains a concentrated allocation within the Bitcoin mining subsector. The fund applies an expense ratio of 0.75% and relies on active manager discretion for security selection and rebalancing rather than a fixed index methodology. Like DAPP, it provides equity exposure without direct cryptocurrency holdings.
The digital assets sector encompasses companies supporting cryptocurrency networks, blockchain infrastructure, and related financial services. Bitcoin mining represents a capital-intensive subset sensitive to energy costs, hash rate dynamics, regulatory clarity, and Bitcoin price cycles. Broader digital transformation themes include payment platforms, exchange operators, and data-center providers. Capital flows into the sector often respond to institutional adoption trends, evolving regulatory frameworks in major jurisdictions, and macroeconomic factors such as interest rate expectations that influence risk-asset sentiment. Sector risks include high volatility, policy uncertainty, and competition for computational resources.
In recent market cycles, both ETFs have demonstrated elevated sensitivity to Bitcoin price movements and mining profitability trends. DAPP’s broader holdings across digital asset infrastructure have provided modest diversification benefits during periods of sector rotation. WGMI’s active focus on mining operations has resulted in more pronounced reactions to hash rate expansions and energy price shifts. Relative positioning reflects DAPP’s emphasis on a wider digital assets universe versus WGMI’s concentrated Bitcoin mining mandate, leading to differentiated volatility patterns over multi-month horizons.
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 opportunities with the AI Screener today.
Based on observable structural characteristics, Tickeron’s AI would currently assign a modest preference to VanEck Digital Transformation ETF (DAPP). The lower expense ratio, passive index methodology, and marginally broader diversification across digital assets infrastructure support a more balanced risk profile relative to the higher-cost, actively managed concentration in CoinShares Bitcoin Mining ETF (WGMI). This assessment reflects probabilistic evaluation of cost efficiency and exposure breadth within the shared thematic universe.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| DAPP | WGMI | DAPP / WGMI | |
| Gain YTD | 29.280 | 85.472 | 34% |
| Net Assets | 389M | 394M | 99% |
| Total Expense Ratio | 0.52 | 0.75 | 69% |
| Turnover | 74.00 | 40.00 | 185% |
| Yield | 0.00 | 0.00 | - |
| Fund Existence | 5 years | 4 years | - |
| DAPP | WGMI | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 9 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| BollingerBands ODDS (%) | N/A | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
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% | -2.33% | ||
| CLSK - DAPP | 85% Closely correlated | -1.46% | ||
| RIOT - DAPP | 84% Closely correlated | +0.19% | ||
| HUT - DAPP | 83% Closely correlated | -0.59% | ||
| MARA - DAPP | 81% Closely correlated | -1.01% | ||
| CIFR - DAPP | 81% Closely correlated | -1.78% | ||
More | ||||
A.I.dvisor indicates that over the last year, WGMI has been closely correlated with CIFR. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if WGMI jumps, then CIFR could also see price increases.
| Ticker / NAME | Correlation To WGMI | 1D Price Change % | ||
|---|---|---|---|---|
| WGMI | 100% | -1.39% | ||
| CIFR - WGMI | 91% Closely correlated | -1.78% | ||
| IREN - WGMI | 87% Closely correlated | -3.73% | ||
| HUT - WGMI | 86% Closely correlated | -0.59% | ||
| RIOT - WGMI | 84% Closely correlated | +0.19% | ||
| CLSK - WGMI | 83% Closely correlated | -1.46% | ||
More | ||||