Investors looking at advanced computing often come across two distinct options: the Defiance Quantum ETF (QTUM) and the iShares Semiconductor ETF (SOXX). They are not direct competitors. SOXX provides foundational sector exposure to the established semiconductor industry that underpins today’s artificial intelligence infrastructure, while QTUM takes a thematic approach aimed at the earlier-stage quantum computing and machine-learning space. Comparing them helps because each represents a different way to act on the view that computing innovation can drive long-term returns. Their differences in index construction, concentration, cost, and diversification guide which exposure might better suit an investor’s risk tolerance and time horizon. I also checked this using Tickeron’s AI Screener to see how the two line up against broader industry peers.
QTUM follows the BlueStar Quantum Computing and Machine Learning Index, which includes companies with meaningful revenue or activity in quantum computing, machine learning, and related advanced-computing technologies. The fund holds about 85 securities and applies an adjusted equal-weight approach that caps any single name and rebalances toward parity. Top holdings have recently included MSFT (Microsoft), PLTR (Palantir), NET (Cloudflare), and SNOW (Snowflake), each typically under 2% of assets, along with international names such as Global Unichip, NEC, and Fujitsu. From a sector view, QTUM remains technology-heavy at roughly 80% of assets but keeps smaller allocations to industrials and communication services. Its expense ratio stands at 0.40%. As a rules-based thematic ETF, it delivers diversified, globally oriented exposure to an emerging theme rather than a concentrated semiconductor bet.
SOXX tracks the NYSE Semiconductor Index, a modified market-capitalization-weighted benchmark of the 30 largest U.S.-listed semiconductor companies. Launched in 2001 by BlackRock, it remains one of the more established and liquid vehicles in the space. Holdings are largely large-cap and concentrated, with recent top positions including AMD, INTC, NVDA, MU, and AVGO; the top ten typically represent around 60% or more of the fund. The portfolio is effectively 100% technology, covering chip designers, memory makers, foundries, and equipment providers such as ADI, TXN, KLAC, and MRVL. Its expense ratio is 0.33%. As a passive index product with modified weighting to limit overconcentration, it offers direct exposure to the full semiconductor value chain.
Both ETFs sit amid the AI-driven computing cycle. Hyperscale cloud providers and enterprises continue elevated spending on data-center infrastructure, supporting demand for GPUs, high-bandwidth memory, and custom silicon that flows through SOXX holdings. QTUM, by comparison, is more tied to the commercialization path of quantum computing and machine learning, themes still earlier in adoption and more dependent on research progress and enterprise software growth. Structural risks overlap but appear unevenly: export controls, Asia supply-chain concentration, and memory pricing cycles affect both, though SOXX carries greater direct exposure. QTUM’s broader sector mix offers some buffer against pure semiconductor cyclicality yet introduces dependence on still-developing quantum revenues. Both remain sensitive to interest-rate expectations that influence long-duration growth valuations. From what I see, this backdrop underscores why the two vehicles complement rather than replace each other.
In recent cycles, SOXX has shown stronger momentum during semiconductor advances, supported by concentrated exposure to AI leaders such as NVIDIA, AMD, and memory names. Its concentration also heightens volatility in downturns, positioning it as more aggressive and cyclical. QTUM, with equal-weight construction and a software tilt, has tended to act as a more diversified technology vehicle, capturing broader computing innovation with lower single-stock risk but less direct leverage to any one chip name. The difference stems mainly from index design. SOXX rewards periods when mega-cap chipmakers lead, while QTUM tends to hold up better when breadth improves and smaller, software-oriented names participate. Investors should therefore view them as complementary expressions of different convictions about how the computing theme will unfold.
I frequently use Tickeron’s AI Screener when evaluating thematic and sector ETFs like these. The tool lets me apply filters for industry exposure, volatility, technical patterns, and performance metrics to surface comparable ideas quickly. It has helped me confirm how QTUM and SOXX fit within broader market screens without manual effort across dozens of holdings.
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.
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
SOXX moved below its 50-day moving average on October 14, 2026 date and that indicates a change from an upward trend to a downward trend. In 38 of 40 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 90%.
The Momentum Indicator moved below the 0 level on October 08, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SOXX as a result. In 74 of 85 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.
The Moving Average Convergence Divergence Histogram (MACD) for SOXX turned negative on October 09, 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 51 similar instances when the indicator turned negative. In 44 of the 51 cases the stock turned lower in the days that followed. This puts the odds of success at 86%.
The 10-day moving average for SOXX crossed bearishly below the 50-day moving average on October 20, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SOXX 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 85%.
The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 9 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +2.29% 3-day Advance, the price is estimated to grow further. Considering data from situations where SOXX advanced for three days, in 310 of 349 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.
SOXX may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 285 of 305 cases where SOXX Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology