The semiconductor sector remains central to technological advancement, powering everything from consumer electronics to AI infrastructure. Investors comparing targeted exposure options often evaluate the VanEck Semiconductor ETF (SMH) and the iShares Semiconductor ETF (SOXX) because both deliver pure-play access to this high-growth industry. These ETFs do not compete directly as broad-market vehicles but serve as complementary or alternative tools within the technology sector. They allow investors to express views on semiconductor demand cycles, capital expenditure trends among chipmakers, and innovation in areas such as advanced packaging and equipment. Structural distinctions in holdings concentration and index methodology make them relevant for different risk appetites and portfolio positioning strategies.
The VanEck Semiconductor ETF (SMH) seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index before fees and expenses. This index targets the 25 largest, most liquid U.S.-listed companies involved in semiconductor production and equipment. The fund maintains approximately 25 holdings and follows a market-capitalization-weighted approach that emphasizes industry leaders. Top holdings typically include NVIDIA Corporation, Taiwan Semiconductor Manufacturing Company (TSMC), Broadcom Inc., Advanced Micro Devices (AMD), and Micron Technology (MU), often accounting for more than 70% of assets in aggregate. Sector exposure is 100% technology. The expense ratio stands at 0.35%. As a passive, unleveraged ETF, it rebalances periodically according to index rules focused on liquidity and market capitalization. This structure provides concentrated exposure to semiconductor leaders while remaining fully invested in equity securities.
The iShares Semiconductor ETF (SOXX) tracks the PHLX Semiconductor Sector Index (or ICE Semiconductor Sector Index), which comprises U.S.-listed companies engaged in semiconductor design, manufacturing, and equipment. The fund holds around 30 securities under a modified market-capitalization-weighted methodology that includes caps to limit excessive concentration. Representative top holdings feature NVIDIA Corporation, AMD, Broadcom Inc., Micron Technology (MU), and Intel Corporation, with the top 10 positions typically representing about 60% of assets. Sector allocation centers on semiconductors (approximately 78%) and semiconductor equipment (approximately 22%). The expense ratio is 0.33%. SOXX operates as a passive, unleveraged ETF with quarterly index rebalancing. This approach delivers targeted semiconductor exposure with modestly broader diversification than more concentrated peers.
The semiconductor industry operates at the intersection of AI acceleration, data center expansion, automotive electrification, and advanced manufacturing. Capital expenditures by major technology firms continue to support demand for leading-edge chips and fabrication equipment. Macroeconomic factors such as interest rate trajectories, global supply chain resilience, and export regulations on advanced technology influence sector dynamics. Geopolitical tensions affecting Taiwan and broader Asia supply chains remain relevant considerations. Regulatory developments around export controls and domestic semiconductor incentives, including those tied to legislation supporting U.S. manufacturing, shape investment flows. The theme benefits from secular growth in AI training and inference workloads, though it faces risks from cyclical inventory adjustments and potential slowdowns in consumer electronics spending during broader economic shifts.
Both ETFs have delivered strong returns over recent market cycles driven by semiconductor demand, yet relative performance reflects differences in concentration and holdings weighting. SMH’s heavier allocation to top names such as NVIDIA Corporation can amplify gains during periods of outsized leadership from a few companies, while also increasing sensitivity to individual stock volatility. SOXX’s more distributed weights and inclusion of additional names provide a modestly different return profile, potentially offering smoother participation across the sector during rotations favoring equipment or memory segments. In recent weeks and months, performance differentials have stemmed from varying momentum in AI-related names versus broader chipmakers, alongside shifts in interest rate expectations that affect growth-oriented technology valuations. Investors monitoring relative positioning note that SMH tends to exhibit higher concentration-driven volatility, whereas SOXX may display marginally lower single-stock risk in comparable market environments.
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, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights into semiconductor or technology exposure may find the platform useful for refining ETF or stock selection processes.
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favorability to the iShares Semiconductor ETF (SOXX). The reasoning centers on its slightly lower expense ratio, broader holdings count that reduces single-name concentration risk, and more balanced weighting across semiconductor sub-segments. These characteristics may support more consistent participation in sector momentum while limiting the impact of any single holding’s performance variability. SMH remains a compelling option for investors prioritizing maximum exposure to leading names, but the probabilistic edge leans toward SOXX for balanced risk-adjusted positioning within the semiconductor theme.
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| SMH | SOXX | SMH / SOXX | |
| Gain YTD | 55.755 | 72.750 | 77% |
| Net Assets | 68.7B | 41.4B | 166% |
| Total Expense Ratio | 0.35 | 0.34 | 103% |
| Turnover | 12.00 | 27.00 | 44% |
| Yield | 0.20 | 0.29 | 70% |
| Fund Existence | 15 years | 25 years | - |
| SMH | SOXX | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 77% | 1 day ago 90% |
| Stochastic ODDS (%) | 3 days ago 82% | 1 day ago 85% |
| Momentum ODDS (%) | 3 days ago 90% | 1 day ago 88% |
| MACD ODDS (%) | 3 days ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 3 days ago 86% | 1 day ago 87% |
| TrendMonth ODDS (%) | 3 days ago 90% | 1 day ago 87% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 88% |
| Declines ODDS (%) | 23 days ago 82% | 1 day ago 85% |
| BollingerBands ODDS (%) | 3 days ago 90% | 1 day ago 89% |
| Aroon ODDS (%) | 3 days ago 88% | 1 day ago 81% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NVD | 4.19 | 0.08 | +1.95% |
| GraniteShares 2x Short NVDA Daily ETF | |||
| BME | 45.63 | 0.77 | +1.72% |
| Blackrock Health Sciences Trust | |||
| DFE | 77.38 | 0.56 | +0.73% |
| WisdomTree Europe SmallCap Dividend ETF | |||
| DSI | 146.50 | 0.30 | +0.21% |
| iShares ESG MSCI KLD 400 ETF | |||
| XTR | 29.03 | 0.04 | +0.12% |
| Global X S&P 500® Tail Risk ETF | |||
A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 89% 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% | -1.55% | ||
| LRCX - SMH | 89% Closely correlated | -6.33% | ||
| KLAC - SMH | 85% Closely correlated | -3.86% | ||
| AMAT - SMH | 85% Closely correlated | -3.53% | ||
| ASML - SMH | 84% Closely correlated | -2.84% | ||
| MU - SMH | 81% Closely correlated | -0.39% | ||
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