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The Valkyrie Bitcoin Miners ETF (WGMI) is an actively managed fund that invests at least 80% of its net assets in companies deriving at least 50% of their revenue or profits from Bitcoin mining or from supplying specialized chips, hardware, software, and other services to the mining industry. The fund does not hold Bitcoin directly. It carries a 0.75% net expense ratio and is structured as a non-diversified fund, meaning a relatively small number of positions can drive performance.
The portfolio is concentrated in publicly traded miners and adjacent infrastructure companies. Top holdings have historically included IREN, Cipher Mining (CIFR), Hut 8 (HUT), TeraWulf (WULF), Riot Platforms (RIOT), MARA Holdings (MARA), CleanSpark (CLSK), and Core Scientific (CORZ), alongside smaller stakes in Applied Digital (APLD), Bitdeer (BTDR), Bitfarms (BITF), and HIVE Digital (HIVE). Geographic exposure skews heavily toward North America, with additional positions in Australia and elsewhere.
Structurally, the fund's future outlook hinges on two forces: Bitcoin's price, which sets miner revenue, and the shift of mining firms into AI/HPC data-center services, which diversifies income away from pure cryptocurrency exposure. Because miners use substantial electricity, companies with low-cost power contracts and strong balance sheets are better positioned for the next cycle.
The fund's macro outlook is tightly linked to the broader digital-asset and technology complex. Easing inflation and eventual rate cuts historically support risk assets, and lower financing costs would directly benefit capital-intensive miners. Conversely, sticky inflation or a hawkish Fed could weigh on the sector's high-beta equity exposure.
Bitcoin's own supply dynamics — capped at 21 million coins and subject to halving events — remain a core structural tailwind. Institutional adoption through spot Bitcoin ETFs has broadened the investor base, while miners increasingly pivot toward AI infrastructure, giving the sector a second growth engine beyond cryptocurrency. The computing and data-center buildout tied to generative AI is a multi-year secular theme that overlaps directly with miners' existing power and facilities assets.
On the risk side, the fund's concentrated, non-diversified structure and elevated volatility mean macro shocks can produce outsized moves. Market trends in energy, semiconductors, and cloud computing now matter as much to this portfolio as Bitcoin's price itself.
For traders evaluating where an ETF like this may be headed, Tickeron's Trend Prediction Engine offers an AI-powered forecasting resource. The tool is designed to help identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It can assist users in spotting developing trends, evaluating possible breakouts or reversals, and comparing predictions across a broad range of tradable instruments. The platform includes searchable prediction categories, historical context, and alert-oriented functionality to support timely decision-making. Explore the Trend Prediction Engine to incorporate data-driven trend signals into your research process.
Over the long term, the fund's trajectory is shaped by several structural themes. Bitcoin's fixed supply and halving schedule create a scarcity dynamic that has historically underpinned miner economics across cycles. Simultaneously, the convergence of Bitcoin mining infrastructure with AI and HPC data centers represents a meaningful diversification trend, as mining operators repurpose power capacity to serve cloud and AI customers with recurring, dollar-denominated revenue.
Global investment trends toward digital assets, the growth of AI infrastructure, and the electrification of computing all favor firms with access to cheap, scalable power. Demographic and institutional shifts — including younger investor adoption of digital assets and the entry of asset managers into crypto products — may broaden demand over time. However, the sector remains highly cyclical and sensitive to interest-rate cycles, energy costs, and regulatory developments, so its structural strengths come with elevated volatility. These long-term drivers will likely define the ETF's forward path more than any short-term price swing.
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.
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A.I.dvisor indicates that over the last year, WGMI has been closely correlated with BKCH. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if WGMI jumps, then BKCH could also see price increases.
| Ticker / NAME | Correlation To WGMI | 1D Price Change % | ||
|---|---|---|---|---|
| WGMI | 100% | -2.05% | ||
| BKCH - WGMI | 95% Closely correlated | -2.44% | ||
| DAPP - WGMI | 92% Closely correlated | -1.91% | ||
| FDIG - WGMI | 89% Closely correlated | -1.77% | ||
| SPBC - WGMI | 77% Closely correlated | -0.70% | ||
| BITO - WGMI | 65% Loosely correlated | -1.61% | ||
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The RSI Oscillator for WGMI moved out of oversold territory on November 06, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 37 similar instances when the indicator left oversold territory. In 34 of the 37 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 51 of 57 cases where WGMI's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.
The Moving Average Convergence Divergence (MACD) for WGMI just turned positive on November 09, 2026. Looking at past instances where WGMI's MACD turned positive, the stock continued to rise in 46 of 51 cases over the following month. The odds of a continued upward trend are 90%.
Following a +17.28% 3-day Advance, the price is estimated to grow further. Considering data from situations where WGMI advanced for three days, in 266 of 283 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
WGMI may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where WGMI declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 90%.
The Aroon Indicator for WGMI entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.