Strive U.S. Semiconductor ETF (SHOC), VanEck Semiconductor ETF (SMH), and Invesco PHLX Semiconductor ETF (SOXQ) provide targeted exposure to the surging semiconductor sector, fueled by artificial intelligence (AI) infrastructure demand and advanced computing needs. These passive ETFs track distinct indexes of U.S.-listed semiconductor firms, differing in holding counts, weighting methodologies, and inclusion of global ADRs. SHOC emphasizes U.S.-focused governance tilts, SMH prioritizes liquidity leaders with international flavor, and SOXQ mirrors the established PHLX Semiconductor Sector Index with cost advantages. Amid record industry sales projections nearing $1 trillion in 2026, comparing their structures helps investors assess diversification, costs, and positioning in this high-growth, volatile theme.
The Strive U.S. Semiconductor ETF (SHOC) is a passively managed fund tracking the Bloomberg US Listed Semiconductors Select Total Return Index, providing concentrated exposure to approximately 30 U.S.-listed semiconductor companies weighted by market capitalization adjusted for sector revenue. It holds around 30-33 stocks, with top holdings including NVDA (19.42%), AVGO (13.31%), INTC (8.28%), AMD (7.03%), and ASML (6.69%). Sector allocation is nearly 100% semiconductors, primarily information technology. The expense ratio is 0.40%. Distinguishing features include active corporate governance via proxy voting and issuer engagement to promote operational excellence. The index shifted in March 2024 for enhanced selectivity. Liquidity remains solid with tight spreads.
The VanEck Semiconductor ETF (SMH) tracks the MVIS US Listed Semiconductor 25 Index, focusing on the 25 most liquid U.S.-exchange-listed semiconductor producers and equipment firms, modified market-cap weighted. It maintains 25-26 holdings, with leading positions in NVDA (~18%), TSM (~11%), AVGO (~8%), INTC (~7%), and AMD (~6%). Allocation is 100% technology/semiconductors, incorporating U.S.-listed foreign firms for broader representation. Expense ratio stands at 0.35%. Key traits include emphasis on trading volume alongside market cap for liquidity, non-diversified structure, and established track record since 2011. Top 10 holdings comprise over 70% of assets, heightening concentration.
Invesco PHLX Semiconductor ETF (SOXQ) replicates the PHLX Semiconductor Sector Index, a modified market-cap-weighted benchmark of the 30 largest U.S.-listed semiconductor companies engaged in design, manufacturing, and sales. It features 31 holdings, topped by NVDA (9.98%), MU (9.92%), AVGO (9.22%), INTC (7.50%), and AMD (6.23%). Sector breakdown: semiconductors (79.97%), production equipment (20.03%), all within technology. The expense ratio is a competitive 0.19%. Notable aspects include quarterly rebalancing (March, June, September, December) and annual reconstitution, with tight bid-ask spreads indicating strong liquidity. Non-diversified with U.S. dominance (~90%).
The semiconductor sector thrives amid AI infrastructure expansion, with global sales projected to hit $975 billion in 2026, up 26% year-over-year, driven by hyperscaler capital expenditures on accelerators and memory. Capital flows heavily into U.S. firms via CHIPS Act subsidies ($52 billion+), spurring domestic fabs despite elevated costs. Macro tailwinds include resilient GDP growth and easing inflation, though high capex strains profitability. Regulatory shifts, like withdrawn U.S. AI chip export rules, reduce uncertainty, while geopolitical tensions—export controls, tariffs—prompt supply chain diversification from Asia. Earnings trends favor AI leaders, but memory shortages and power constraints pose risks. Geoeconomic fragmentation elevates sector volatility.
In recent months, all three ETFs have advanced robustly on AI demand, with SMH often leading due to heavier mega-cap tilt toward NVDA and TSM, exhibiting trend consistency in upcycles. SOXQ displays relative stability with lower one-month volatility (~10% vs. SHOC's 9-10%, SMH similar), benefiting from memory exposure like MU during rotations. SHOC mirrors SMH's dynamics but with U.S. purity, showing comparable drawdowns. Differences stem from indexing: SMH's liquidity focus amplifies leaders, SOXQ's quarterly resets curb extremes, SHOC's governance adds minor alpha potential. Concentration heightens sensitivity to mega-cap earnings and macro factors like rates impacting capex.
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. Explore it today to uncover semiconductor insights and beyond.
Tickeron’s AI favors SOXQ with moderate conviction (60-70% probability edge) for current positioning. Its superior cost efficiency (0.19% expense ratio), quarterly rebalancing for controlled concentration, and balanced exposure across semiconductors and equipment yield optimal risk-adjusted stability amid volatility. While SMH and SHOC excel in mega-cap momentum, SOXQ's diversification tempers drawdowns without sacrificing theme purity, aligning with momentum stability in recent cycles.
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| SHOC | SMH | SOXQ | |
| Gain YTD | 67.535 | 72.149 | 89.014 |
| Net Assets | 263M | 71.9B | 2.61B |
| Total Expense Ratio | 0.40 | 0.35 | 0.19 |
| Turnover | 25.00 | 12.00 | 24.00 |
| Yield | 0.15 | 0.18 | 0.28 |
| Fund Existence | 4 years | 14 years | 5 years |
| SHOC | SMH | SOXQ | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 89% | 4 days ago 85% | 4 days ago 82% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 87% | 4 days ago 88% | 4 days ago 86% |
| MACD ODDS (%) | 4 days ago 74% | 4 days ago 84% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 89% |
| Declines ODDS (%) | 6 days ago 78% | 6 days ago 82% | 6 days ago 83% |
| BollingerBands ODDS (%) | 4 days ago 89% | 4 days ago 81% | 4 days ago 86% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RIFR | 28.70 | 0.22 | +0.78% |
| Russell Inv Global Infrastructure ETF | |||
| EWC | 58.76 | 0.27 | +0.46% |
| iShares MSCI Canada ETF | |||
| BMVP | 52.30 | 0.20 | +0.38% |
| Invesco Bloomberg MVP Multi-factor ETF | |||
| HYBI | 49.19 | 0.04 | +0.08% |
| NEOS Enhanced Income Credit Select ETF | |||
| STPZ | 53.45 | -0.05 | -0.08% |
| PIMCO 1-5 Year US TIPS Index ETF | |||
A.I.dvisor indicates that over the last year, SHOC has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SHOC jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SHOC | 1D Price Change % | ||
|---|---|---|---|---|
| SHOC | 100% | +1.17% | ||
| LRCX - SHOC | 86% Closely correlated | +1.18% | ||
| AMAT - SHOC | 82% Closely correlated | +2.64% | ||
| KLAC - SHOC | 81% Closely correlated | +5.55% | ||
| ASML - SHOC | 79% Closely correlated | -1.89% | ||
| MPWR - SHOC | 78% Closely correlated | -0.77% | ||
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +1.72% | ||
| LRCX - SMH | 86% Closely correlated | +1.18% | ||
| AMAT - SMH | 83% Closely correlated | +2.64% | ||
| KLAC - SMH | 83% Closely correlated | +5.55% | ||
| ASML - SMH | 80% Closely correlated | -1.89% | ||
| TSM - SMH | 80% Closely correlated | +0.68% | ||
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A.I.dvisor indicates that over the last year, SOXQ has been closely correlated with LRCX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOXQ jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SOXQ | 1D Price Change % | ||
|---|---|---|---|---|
| SOXQ | 100% | +1.53% | ||
| LRCX - SOXQ | 85% Closely correlated | +1.18% | ||
| AMAT - SOXQ | 83% Closely correlated | +2.64% | ||
| MPWR - SOXQ | 81% Closely correlated | -0.77% | ||
| KLAC - SOXQ | 81% Closely correlated | +5.55% | ||
| MKSI - SOXQ | 80% Closely correlated | +3.00% | ||
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