In the rapidly evolving technology landscape, investors compare QTUM and SOXX for distinct paths to high-growth exposure. QTUM targets the frontier of quantum computing and machine learning, blending established tech with disruptive innovators. SOXX provides pure semiconductor sector access, fueling AI infrastructure and data centers. These ETFs appeal to similar goals—capitalizing on computational advances—but differ in scope: QTUM's thematic breadth versus SOXX's concentrated industry play. Amid surging AI adoption and chip demand, this ETF comparison highlights structural contrasts in sector exposure, cost efficiency, and risk profiles for informed positioning.
The Defiance Quantum ETF (QTUM) is a passive thematic ETF tracking the BlueStar Machine Learning and Quantum Computing Index (BQTUM). It invests in companies deriving significant revenue from quantum computing, machine learning technologies, including chips, software, and big data applications. With 86 holdings, QTUM employs a modified equal-weight methodology for balanced exposure across global firms.
Top holdings include INTC (2.96%), MU (2.82%), Global Unichip Corp. (2.45%), Mediatek Inc. (2.36%), and STMicroelectronics NV (2.13%). Sector allocations emphasize technology (82%), industrials (10%), and communication services (6%), with minor consumer cyclical and healthcare exposure. The expense ratio is 0.40%. QTUM rebalances semi-annually, promoting diversification in nascent fields like quantum hardware and AI enablers.
The iShares Semiconductor ETF (SOXX) is a passive sector ETF tracking the NYSE Semiconductor Index, comprising U.S.-listed semiconductor companies in design, manufacturing, and equipment. Holding 30 stocks, it uses modified market-cap weighting with caps (top five at 8%, ADRs at 10%) for controlled concentration.
Top holdings feature MU (9.77%), AMD (9.15%), INTC (7.39%), Broadcom Inc. (7.26%), and NVDA (6.55%). Allocation is 100% information technology (semiconductors). Expense ratio stands at 0.34%. Quarterly rebalancing and annual reconstitution ensure liquidity and alignment with sector leaders.
The semiconductor sector powers AI expansion, with hyperscalers projecting $600-720 billion in capital expenditures for data centers and chips. Catalysts include AI inference demand, memory price rises (up 50% recently), and U.S. manufacturing resurgence via CHIPS Act incentives. Capital flows favor semis, with ETFs like SOXX and peers attracting billions amid tech rotation.
Quantum and machine learning add long-term tailwinds, as firms invest in next-gen computation beyond classical chips. Risks encompass supply chain geopolitics (e.g., Taiwan tensions), power constraints, cyclical downturns, and elevated valuations vulnerable to earnings misses or Fed tightening. Regulatory scrutiny on AI and export controls could impact flows, yet structural demand persists.
In recent market cycles, SOXX has outperformed amid AI chip frenzy, driven by top holdings' earnings strength and data center buildouts, though with amplified volatility (beta ~2.0). QTUM trails in pure semi rallies but shows resilience via diversification, hedging through industrials and global names during sector rotations.
Relative positioning favors SOXX in momentum phases tied to NVDA and AVGO, while QTUM benefits from quantum hype and broader tech trends. Volatility differences arise from SOXX's concentration versus QTUM's 86 holdings, with overlap (~20-30%) linking fates amid macro shifts like interest rates and commodity inputs.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes like semiconductors or thematic tech.
Tickeron’s AI currently favors SOXX with moderate conviction (65-75% probability edge), owing to its cost efficiency, pure semiconductor momentum, and structural alignment with AI infrastructure capex. QTUM suits as a diversifier for quantum upside, but SOXX's relative positioning and lower fees prevail in prevailing cycles. Factors include trend consistency and sector tailwinds; shifts could favor QTUM on quantum catalysts.
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| QTUM | SOXX | QTUM / SOXX | |
| Gain YTD | 39.604 | 79.347 | 50% |
| Net Assets | 6.14B | 40.5B | 15% |
| 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 78% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Advances ODDS (%) | 5 days ago 88% | 4 days ago 89% |
| Declines ODDS (%) | 2 days ago 79% | 2 days ago 85% |
| BollingerBands ODDS (%) | 2 days ago 73% | 2 days ago 80% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| APOC | 26.15 | -0.05 | -0.19% |
| Innovator Eq Dfnd Prt ETF - 6 Mo Apr/Oct | |||
| FMN | 11.18 | -0.03 | -0.22% |
| Federated Hermes Premier Municipal Income Fund | |||
| HOLA | 53.98 | -0.52 | -0.95% |
| JPMorgan Intl Hdg Eq Ldrd Overlay ETF | |||
| EMLC | 25.15 | -0.28 | -1.10% |
| VanEck JPMorgan EMLcl Ccy Bd ETF | |||
| BITQ | 25.05 | -2.44 | -8.88% |
| Bitwise Crypto Industry Innovators ETF | |||
A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 76% 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% | -8.23% | ||
| LRCX - QTUM | 76% Closely correlated | -9.85% | ||
| MKSI - QTUM | 72% Closely correlated | -8.65% | ||
| ONTO - QTUM | 72% Closely correlated | -7.83% | ||
| AMAT - QTUM | 72% Closely correlated | -9.71% | ||
| TSM - QTUM | 71% Closely correlated | -6.69% | ||
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