The investment seeks to track the total return performance, before fees and expenses, of the BlueStar Quantum Computing and Machine Learning Index (the "index")... Show more
The Defiance Quantum ETF seeks to track the total return performance of the BlueStar Quantum Computing and Machine Learning Index. This index applies a modified equal-weighted methodology to companies that derive at least 50% of revenue or operating activity from quantum computing or machine learning technologies. The passive approach delivers targeted exposure to hardware, software, and enabling components in these fields.
Top holdings typically include established semiconductor firms and emerging quantum players, with technology comprising roughly 80% of the portfolio and industrials adding further diversification. Geographic allocation centers on the United States, supplemented by developed markets in Europe and Asia. This positioning structurally ties future performance to innovation cycles in artificial intelligence, advanced computing, and related supply chains.
Interest rate decisions by central banks remain influential, as lower rates generally support growth-oriented technology valuations within the ETF’s holdings. Inflation trends and semiconductor demand cycles could further shape performance, given the index’s concentration in chipmakers and equipment providers.
Technology or industry developments, such as breakthroughs in quantum error correction or scalable machine learning applications, may accelerate adoption and revenue growth for constituent companies. Policy or regulatory changes, including expanded government funding for quantum research and domestic semiconductor production incentives, represent additional potential tailwinds. Earnings outlooks for major technology holdings and periodic index rebalancing also warrant monitoring for shifts in exposure.
Broad equity market trends and equity risk appetite influence the ETF due to its technology-heavy composition. Interest rate cycles affect discount rates applied to future cash flows of high-growth holdings, while global semiconductor cycles and supply chain resilience play direct roles in the index constituents’ prospects.
Economic growth expectations in key regions support capital expenditure on advanced computing infrastructure. Currency movements may modestly affect international holdings, though the predominantly U.S.-centric allocation limits this exposure. Overall, the macro environment connects most directly to the pace of digital transformation and enterprise technology investment.
Tickeron’s Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Explore the Trend Prediction Engine for additional insights.
Long-term sector growth trends in quantum computing and artificial intelligence underpin the ETF’s positioning, as commercial applications gradually mature. Technology adoption across industries, combined with demographic shifts toward data-intensive economies, supports sustained demand for the underlying innovations.
Economic cycles and interest rate environments will continue to interact with these themes, while market structure changes such as increased research collaboration and supply chain localization add further dimensions. The long-term outlook for the BlueStar index remains tied to the evolution of enabling technologies and global investment in next-generation computing capabilities.
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.
Category Technology
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A.I.dvisor indicates that over the last year, QTUM has been closely correlated with SMH. These tickers have moved in lockstep 92% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then SMH could also see price increases.
| Ticker / NAME | Correlation To QTUM | 1D Price Change % | ||
|---|---|---|---|---|
| QTUM | 100% | -2.35% | ||
| SMH - QTUM | 92% Closely correlated | -2.43% | ||
| SOXX - QTUM | 92% Closely correlated | -2.67% | ||
| CHAT - QTUM | 87% Closely correlated | -2.75% | ||
| FTEC - QTUM | 83% Closely correlated | -1.71% | ||
| CIBR - QTUM | 73% Closely correlated | -1.71% | ||
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QTUM saw its Momentum Indicator move below the 0 level on August 20, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 76 similar instances where the indicator turned negative. In of the 76 cases, the stock moved further down in the following days. The odds of a decline are at .
The Moving Average Convergence Divergence Histogram (MACD) for QTUM turned negative on August 24, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 46 similar instances when the indicator turned negative. In of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at .
QTUM moved below its 50-day moving average on August 18, 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 QTUM declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
QTUM broke above its upper Bollinger Band on August 04, 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 QTUM entered a downward trend on August 07, 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.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where QTUM's RSI Oscillator exited the oversold zone, of 21 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
The 10-day moving average for QTUM crossed bullishly above the 50-day moving average on August 14, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in of 350 cases, the price rose further within the following month. The odds of a continued upward trend are .