The investment seeks to track the price and yield performance, before fees and expenses, of the WisdomTree [Classiq] Quantum Computing Index (the “Index”)... Show more
The WisdomTree Quantum Computing Fund (WQTM) is a U.S.-listed thematic exchange-traded fund (ETF) that seeks to track the WisdomTree Classiq Quantum Computing Index, a proprietary benchmark co-developed with quantum software leader Classiq. The strategy is built on a two-part framework: a relevancy score measuring how significant each company's quantum activities are, and a purity classification distinguishing pure-play quantum firms from diversified global technology leaders. This design deliberately pushes weight toward higher-purity, higher-relevancy names while reducing exposure to megacaps whose quantum businesses are only a small fraction of revenue.
The portfolio spans the full quantum ecosystem—hardware and qubit providers, software and algorithm developers, quantum networking and cryptography specialists, and enabling infrastructure such as semiconductors and cryogenics. As of recent disclosures, the fund held roughly 46 to 47 constituents, with Information Technology representing well over 80% of sector exposure, supplemented by Communication Services and Industrials. Geographic allocation is globally diversified but U.S.-centric, with Japan, Canada, and several European markets as notable secondary weights. The fund's expense ratio is 0.45%.
Structurally, WQTM's future performance potential is tied to how well its relevancy-purity methodology captures the next wave of quantum adoption. By favoring pure-play names such as IonQ (IONQ), Rigetti Computing (RGTI), and D-Wave Quantum (QBTS), the fund offers more direct thematic beta than equal-weighted or megacap-heavy alternatives—but this same concentration means its trajectory is more sensitive to industry-specific milestones than to broad market trends.
The macro backdrop for WQTM is defined by the intersection of technology-sector momentum and interest-rate dynamics. Quantum computing sits within a broader innovation cycle powered by surging demand for computational power, particularly from artificial intelligence and complex simulation workloads. This positions the fund's underlying assets at the frontier of a secular technology trend, but it also means the portfolio trades on long-dated cash-flow expectations that are more exposed to shifts in monetary policy and inflation expectations.
Within the sector outlook, quantum computing remains earlier in its adoption curve than adjacent themes such as semiconductors or conventional AI infrastructure. Industry forecasts point to meaningful commercial scaling over the back half of the decade, driven by hybrid quantum-classical architectures that pair quantum processors with high-performance computing (HPC) and graphics processing units (GPUs). Government support, rising enterprise cloud access, and improving error rates all support a constructive long-term case, even as near-term revenue remains modest relative to valuations.
Equity market trends also matter: the fund's concentration in Information Technology links its trajectory to broader technology risk sentiment. In environments where investors favor established, cash-generative leaders, pure-play quantum names may lag; when risk appetite expands toward frontier innovation, the portfolio's high-purity tilt could amplify gains. Global diversification adds a degree of resilience, though currency movements and regional policy shifts in Japan and Europe can introduce secondary effects.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool designed to help traders assess whether a stock, ETF, or other asset may trend bullish, bearish, or sideways over the coming week or month. The platform is built to surface developing trends, flag possible breakouts or reversals, and allow users to explore predictions across a broad universe of tradable instruments. With searchable prediction categories, historical context, and alert-oriented functionality, the tool offers a structured way to monitor shifting momentum. For investors tracking fast-moving thematic funds, pairing fundamental research with a trend-focused lens can add useful perspective.
Over a longer horizon, WQTM's trajectory is anchored to the commercialization of quantum computing and its convergence with artificial intelligence. As classical computing approaches physical limits, quantum systems offer a potential step-change in solving problems in drug discovery, materials science, logistics optimization, and cryptography. This structural demand case is reinforced by demographic and economic forces—rising data generation, enterprise digital transformation, and intensifying global competition for technological leadership—that continue to funnel capital toward advanced compute infrastructure.
At the same time, the theme carries structural risks. Many pure-play constituents are pre-profit companies whose valuations depend on future milestones rather than current earnings. Market-structure factors, including the fund's relatively recent launch, narrower liquidity, and concentrated sector exposure, mean the ETF may exhibit higher volatility than diversified benchmarks. Interest-rate cycles also remain relevant: sustained higher rates could compress valuations for long-duration growth assets, while easing could support multiple expansion. The underlying index's disciplined relevancy and purity framework offers a structural advantage in maintaining thematic integrity, but the path from laboratory breakthroughs to scalable, revenue-generating systems will ultimately determine the fund's longer-term performance potential.
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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WQTM saw its Momentum Indicator move above the 0 level on September 17, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 17 similar instances where the indicator turned positive. In 15 of the 17 cases, the stock moved higher in the following days. The odds of a move higher are at 88%.
The Moving Average Convergence Divergence (MACD) for WQTM just turned positive on September 18, 2026. Looking at past instances where WQTM's MACD turned positive, the stock continued to rise in 6 of 7 cases over the following month. The odds of a continued upward trend are 86%.
Following a +1.62% 3-day Advance, the price is estimated to grow further. Considering data from situations where WQTM advanced for three days, in 46 of 54 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 7 of 10 cases where WQTM's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 70%.
WQTM moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where WQTM 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 89%.
WQTM broke above its upper Bollinger Band on September 21, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for WQTM entered a downward trend on September 25, 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.