BITQ and WGMI both target the cryptocurrency sector but pursue distinct strategies within the same thematic universe. BITQ offers broad exposure to companies driving crypto innovation, whereas WGMI narrows focus to Bitcoin mining operations. Investors comparing these exchange-traded funds (ETFs) often seek to understand trade-offs between diversified thematic access and concentrated industry exposure. The comparison remains relevant amid evolving regulatory clarity, Bitcoin network developments, and capital allocation trends within digital assets.
The Bitwise Crypto Industry Innovators ETF (BITQ) seeks to track the total return performance of the Bitwise Crypto Innovators 30 Index. This passive, rules-based strategy selects approximately 30 companies involved in cryptocurrency markets, including miners, exchanges, and infrastructure providers. The fund typically holds 32-34 securities, with the top 10 positions accounting for roughly 60-68% of assets. Prominent holdings often include IREN Ltd. (IREN), Hut 8 Corp. (HUT), Strategy Inc. (MSTR), Riot Platforms Inc. (RIOT), and Core Scientific Inc. (CORZ). Sector exposure concentrates in Financial Services and Technology. BITQ charges an expense ratio of 0.85% and rebalances according to index methodology to maintain target weights.
The CoinShares Bitcoin Mining ETF (WGMI) is an actively managed fund that invests at least 80% of its net assets in companies deriving at least 50% of revenue or profits from Bitcoin mining or related services such as specialized hardware and software. The strategy typically maintains 27-28 holdings, with the top 10 often representing 79-80% of assets. Key positions frequently feature Cipher Digital Inc. (CIFR), IREN Ltd. (IREN), TeraWulf Inc. (WULF), Core Scientific Inc. (CORZ), and MARA Holdings Inc. (MARA). Sector weights emphasize Financial Services and Technology. WGMI applies an expense ratio of 0.75% and allows the manager flexibility to adjust allocations based on operational and market conditions.
Both ETFs operate within the cryptocurrency and blockchain infrastructure sector. Key macro drivers include Bitcoin price cycles, regulatory developments around digital assets, energy market dynamics affecting mining profitability, and broader adoption of blockchain technology. Capital flows into crypto-related equities often correlate with institutional interest in Bitcoin as a store of value and network security. Risks encompass regulatory uncertainty, technological obsolescence, and sensitivity to interest rate expectations that influence risk-asset valuations. The environment favors companies with efficient operations and scalable infrastructure amid ongoing sector maturation.
In recent market cycles, BITQ has reflected broader crypto ecosystem momentum through its diversified holdings in miners and platforms, while WGMI has shown tighter linkage to Bitcoin mining economics, including hash rate growth and electricity costs. Relative positioning highlights BITQ’s potential for steadier participation across multiple crypto sub-sectors versus WGMI’s higher sensitivity to pure mining margins. Volatility differences arise from concentration levels and active versus passive management approaches, with both ETFs experiencing amplified movements during periods of Bitcoin price fluctuations and sector rotation.
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. Visit the AI Screener to explore data-driven insights.
Based on structural characteristics, WGMI’s lower expense ratio and focused active mandate on Bitcoin mining may offer a slight probabilistic edge in the current environment for investors prioritizing cost efficiency and targeted sector momentum, though BITQ’s broader diversification could suit those seeking reduced single-industry concentration risk.
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.
| BITQ | WGMI | BITQ / WGMI | |
| Gain YTD | 34.621 | 85.472 | 41% |
| Net Assets | 462M | 394M | 117% |
| Total Expense Ratio | 0.85 | 0.75 | 113% |
| Turnover | 56.00 | 40.00 | 140% |
| Yield | 0.00 | 0.00 | - |
| Fund Existence | 5 years | 4 years | - |
| BITQ | 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 (%) | 1 day ago 85% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, BITQ 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 BITQ jumps, then CLSK could also see price increases.
| Ticker / NAME | Correlation To BITQ | 1D Price Change % | ||
|---|---|---|---|---|
| BITQ | 100% | -2.61% | ||
| CLSK - BITQ | 85% Closely correlated | -1.46% | ||
| RIOT - BITQ | 85% Closely correlated | +0.19% | ||
| HUT - BITQ | 83% Closely correlated | -0.59% | ||
| CIFR - BITQ | 81% Closely correlated | -1.78% | ||
| MARA - BITQ | 81% Closely correlated | -1.01% | ||
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 | ||||