SMH and SOXQ represent premier options for semiconductor ETF comparison, delivering targeted exposure to the high-growth chip industry powering AI, data centers, and computing. Both compete directly within the technology sector, tracking modified market-cap-weighted indexes of leading U.S.-listed semiconductor firms. Investors compare them for nuanced differences in concentration, costs, and liquidity amid surging AI infrastructure demand. As capital flows intensify into chips—driven by hyperscaler capex projected at $600-720 billion in 2026—these passive funds offer alternatives for sector exposure without single-stock risk, balancing growth potential against volatility in this cyclical space.
The VanEck Semiconductor ETF (SMH) is a passive fund seeking to replicate the MVIS US Listed Semiconductor 25 Index (MVSMHTR), which tracks the 25 largest and most liquid U.S.-exchange-listed companies involved in semiconductor production and equipment. At least 80% of assets are invested in index securities, including medium-cap and U.S.-listed foreign firms generating >50% revenue from semiconductors. It holds approximately 25-26 stocks, with top holdings including NVDA (16-18%), TSM (10%), INTC (7-8%), AVGO (7%), and AMD (6-7%). Sector allocation is 100% technology/semiconductors. The expense ratio is 0.35%. The index reconstitutes semi-annually (March/September) and rebalances quarterly (March/June/September/December), using modified market-cap weighting favoring liquidity and size. SMH boasts exceptional liquidity with average daily volume over 8 million shares and substantial AUM exceeding $60 billion, ideal for institutional trading.
The Invesco PHLX Semiconductor ETF (SOXQ) is a passive ETF tracking the PHLX Semiconductor Sector Index, measuring the 30 largest U.S.-listed companies engaged in semiconductor design, manufacturing, and sales. It invests at least 90% of assets in index components. Holdings total ~30-32, with top positions like NVDA (9.98%), MU (9.92%), AVGO (9.22%), INTC (7.5%), and AMD (6.23%). Sector breakdown: ~80% semiconductors, 20% production equipment. Expense ratio stands at 0.19%. The index reconstitutes annually in September and rebalances quarterly (March/June/September/December), employing modified market-cap weighting with caps (e.g., top five at 8%). Liquidity is solid with ~1.5 million average daily shares and AUM around $1.9 billion.
The semiconductor sector underpins AI expansion, data centers, and edge computing, with global sales projected to hit $975 billion in 2026 amid a 26% growth surge fueled by gen-AI chips nearing $500 billion in revenue. Catalysts include hyperscaler capex booms from Microsoft, Amazon, and others, alongside high-bandwidth memory demand. Capital flows favor chip ETFs, with retail inflows topping $3.2 billion YTD into leaders like SMH. Regulatory scrutiny on export controls and CHIPS Act subsidies persist, while risks encompass cyclical downturns, geopolitical tensions over Taiwan, and supply chain disruptions. Macro drivers like interest rate paths influence valuations in this high-beta space.
In recent market cycles, SMH has shown stronger relative positioning, benefiting from heavy weighting in AI leaders like NVDA and TSM, which drive outsized gains during earnings beats and AI hype. SOXQ, with broader diversification and caps, exhibits slightly lower volatility but trails in momentum-driven rallies, as seen in recent weeks' sector rotation toward mega-caps. Both capture upside from memory (e.g., MU) and equipment trends, yet SMH's liquidity aids resilience in volatile swings tied to rate expectations and geopolitics. Over months, performance converges on shared exposure, but SMH edges ahead in bull phases.
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 in dynamic sectors like semiconductors. Explore it today to uncover ETF comparison insights and potential outperformers.
Tickeron’s AI currently favors SMH due to its superior liquidity profile, established track record through cycles, and structural alignment with top semiconductor momentum leaders. While SOXQ's lower costs and added diversification appeal for conservative positioning, SMH's concentration in high-conviction names enhances trend consistency amid AI-driven sector tailwinds, with probabilistic edge in relative performance over coming quarters based on observable flows and volatility metrics.
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| SMH | SOXQ | SMH / SOXQ | |
| Gain YTD | 54.483 | 63.684 | 86% |
| Net Assets | 63B | 1.94B | 3,249% |
| Total Expense Ratio | 0.35 | 0.19 | 184% |
| Turnover | 12.00 | 24.00 | 50% |
| Yield | 0.22 | 0.34 | 64% |
| Fund Existence | 14 years | 5 years | - |
| SMH | SOXQ | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 82% | 3 days ago 84% |
| Stochastic ODDS (%) | N/A | N/A |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 3 days ago 86% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 88% |
| Declines ODDS (%) | 20 days ago 83% | 20 days ago 84% |
| BollingerBands ODDS (%) | 3 days ago 81% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PSDM | 51.02 | -0.06 | -0.12% |
| PGIM Short Duration Mlt-Sect Bd ETF | |||
| MYN | 9.79 | -0.15 | -1.50% |
| Blackrock Muniyield NEW York Quality Fund | |||
| PSCF | 60.15 | -1.02 | -1.67% |
| Invesco S&P SmallCap Financials ETF | |||
| MVLL | 76.58 | -5.48 | -6.68% |
| GraniteShares 2x Long MRVL Daily ETF | |||
| BIDG | 16.69 | -1.95 | -10.46% |
| Leverage Shares 2X Long BIDU Daily ETF | |||
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% | -4.02% | ||
| LRCX - SOXQ | 85% Closely correlated | -4.82% | ||
| AMAT - SOXQ | 82% Closely correlated | -0.89% | ||
| KLAC - SOXQ | 80% Closely correlated | -4.68% | ||
| MPWR - SOXQ | 80% Closely correlated | -3.96% | ||
| MKSI - SOXQ | 80% Closely correlated | -3.39% | ||
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