Defiance Quantum ETF (QTUM) and iShares Semiconductor ETF (SOXX) attract investors seeking growth tied to advanced technologies. These exchange-traded funds do not compete directly but deliver complementary exposure within the technology ecosystem. QTUM targets quantum computing and machine learning themes, while SOXX focuses on the semiconductor value chain that underpins artificial intelligence and digital infrastructure. Comparing them helps investors evaluate thematic breadth versus sector depth when positioning for long-term innovation cycles.
Defiance Quantum ETF (QTUM) passively tracks the BlueStar Machine Learning and Quantum Computing Index. The fund holds approximately 85 securities, emphasizing companies involved in quantum technologies and machine learning applications. Top holdings typically include Micron Technology (MU), Marvell Technology (MRVL), STMicroelectronics (STM), Intel (INTC), and MediaTek, with the top 10 representing around 22-23% of assets. Sector allocation centers on technology at approximately 85%, followed by industrials at 8-9% and communication services near 5%. The expense ratio is 0.40%. As a rules-based thematic ETF, it rebalances periodically according to index methodology to maintain exposure to liquid global firms in these emerging fields.
iShares Semiconductor ETF (SOXX) passively tracks the ICE Semiconductor Sector Index, a modified market-capitalization-weighted benchmark of U.S.-listed semiconductor companies. The fund maintains about 30 holdings, delivering concentrated exposure across the semiconductor supply chain. Leading positions often feature Micron Technology (MU), Advanced Micro Devices (AMD), Broadcom (AVGO), Intel (INTC), and Marvell Technology (MRVL), with the top 10 comprising roughly 62% of assets. The portfolio is 100% allocated to technology, split primarily between semiconductors (approximately 80%) and semiconductor equipment (approximately 20%). The expense ratio is 0.34%. SOXX employs standard index rebalancing to reflect changes in the underlying semiconductor sector constituents.
The semiconductor industry and adjacent quantum and machine learning sectors operate within a dynamic environment shaped by artificial intelligence demand, data center expansion, and geopolitical supply-chain considerations. Capital expenditures by technology leaders continue to support equipment and chipmakers, while regulatory scrutiny around export controls and domestic manufacturing incentives influences flows. Macroeconomic factors such as interest rate trajectories and corporate spending cycles affect both areas. Quantum computing remains an earlier-stage theme with longer commercialization horizons, whereas semiconductors represent a more mature yet rapidly evolving segment benefiting from established production scales.
In recent market cycles, both ETFs have reflected broader technology sector momentum driven by artificial intelligence adoption and earnings strength among key holdings. SOXX’s higher concentration has contributed to greater sensitivity to semiconductor-specific earnings reports and inventory cycles. QTUM’s wider holdings across quantum and machine learning names provide additional diversification within innovation themes, potentially moderating volatility relative to pure semiconductor exposure during sector rotations. Relative positioning depends on investor views regarding the pace of quantum commercialization versus near-term semiconductor demand from artificial intelligence infrastructure buildouts.
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Based on structural characteristics, Tickeron’s AI would likely favor iShares Semiconductor ETF (SOXX) at present due to its lower expense ratio, established sector leadership, and alignment with current semiconductor demand drivers. QTUM offers differentiated thematic exposure that could appeal in longer-horizon scenarios emphasizing quantum advancements. Investors should assess these factors against their specific objectives and risk tolerance.
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| QTUM | SOXX | QTUM / SOXX | |
| Gain YTD | 54.059 | 100.581 | 54% |
| Net Assets | 6.34B | 47B | 13% |
| Total Expense Ratio | 0.40 | 0.34 | 118% |
| Turnover | 42.00 | 27.00 | 156% |
| Yield | 0.73 | 0.29 | 250% |
| Fund Existence | 8 years | 25 years | - |
| QTUM | SOXX | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 1 day ago 88% |
| Stochastic ODDS (%) | 2 days ago 75% | 1 day ago 90% |
| Momentum ODDS (%) | 2 days ago 82% | 1 day ago 88% |
| MACD ODDS (%) | 2 days ago 76% | 1 day ago 88% |
| TrendWeek ODDS (%) | 2 days ago 89% | 1 day ago 87% |
| TrendMonth ODDS (%) | 2 days ago 89% | 1 day ago 90% |
| Advances ODDS (%) | 2 days ago 89% | 2 days ago 89% |
| Declines ODDS (%) | 14 days ago 79% | 14 days ago 85% |
| BollingerBands ODDS (%) | 2 days ago 83% | 1 day ago 88% |
| Aroon ODDS (%) | 2 days ago 90% | 1 day ago 90% |
| 1 Day | |||
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| DUSL | 99.64 | 2.04 | +2.09% |
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| VanEck AA-BB CLO ETF | |||
| IDLV | 34.22 | -0.02 | -0.05% |
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| JXX | 32.58 | -0.30 | -0.92% |
| Janus Henderson Transformational Gr ETF | |||
A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QTUM | 1D Price Change % | ||
|---|---|---|---|---|
| QTUM | 100% | +0.38% | ||
| LRCX - QTUM | 79% Closely correlated | +5.27% | ||
| AMAT - QTUM | 74% Closely correlated | +3.74% | ||
| TSM - QTUM | 74% Closely correlated | +1.20% | ||
| MKSI - QTUM | 74% Closely correlated | +3.49% | ||
| KLAC - QTUM | 73% Closely correlated | +3.70% | ||
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