The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS® US Listed Semiconductor 25 Index... Show more
The VanEck Semiconductor ETF (SMH) seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index, providing targeted exposure to the 25 largest and most liquid U.S.-listed companies involved in semiconductor production and equipment. The fund employs a market-capitalization-weighted approach, resulting in a concentrated portfolio where the top holdings typically account for more than two-thirds of assets.
Key exposures include companies engaged in chip design, fabrication, memory production, and semiconductor manufacturing equipment. Geographic allocation is primarily U.S.-focused through listed securities, with some international representation via American depositary receipts. This structure positions the ETF to benefit from innovation cycles in high-performance computing and artificial intelligence while maintaining liquidity through its emphasis on larger, actively traded names.
The 0.35% expense ratio supports cost-efficient access to the sector. Fund assets under management have grown substantially, exceeding $70 billion in recent periods, underscoring its role as a core vehicle for investors seeking semiconductor exposure. Future performance potential is closely tied to the pace of technology adoption and capital spending by end markets.
The semiconductor industry operates within a cyclical framework heavily influenced by broader economic conditions. Lower interest rates generally support higher growth valuations and increased corporate spending on technology upgrades, while elevated rates may temper capital expenditures. Inflation trends affect input costs and pricing power across the supply chain.
Global economic growth expectations remain a pivotal factor, as stronger GDP forecasts typically correlate with higher demand for consumer electronics, automotive semiconductors, and industrial automation. Equity market trends, particularly within technology and growth segments, often amplify movements in semiconductor indices due to the sector’s high beta characteristics.
Commodity cycles, including those for rare earth materials and energy, can influence production costs, while currency fluctuations may affect the competitiveness of U.S.-listed international exposures. Overall, the macro environment points to continued sensitivity to policy shifts and technological megatrends such as digital transformation.
The Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Explore the Trend Prediction Engine for data-driven insights into market movements.
Long-term growth in the semiconductor sector is anchored by accelerating artificial intelligence adoption, which requires increasingly sophisticated chips for training and inference workloads. Demographic shifts toward digital-native populations and the proliferation of connected devices further underpin structural demand.
Economic cycles will continue to interact with technology spending patterns, while market structure changes such as advanced packaging techniques and supply chain regionalization could reshape competitive dynamics. Interest rate cycles influence the cost of capital for research and development as well as fab construction.
Global investment trends, including rising allocations to technology infrastructure by governments and enterprises, support a constructive multi-year outlook for the underlying index. These factors collectively shape the ETF’s positioning for sustained exposure to innovation-driven growth themes.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
Category Technology
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with SOXQ. These tickers have moved in lockstep 99% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then SOXQ could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +0.31% | ||
| SOXQ - SMH | 99% Closely correlated | +0.29% | ||
| SOXX - SMH | 99% Closely correlated | +0.34% | ||
| FTXL - SMH | 97% Closely correlated | -0.15% | ||
| SMHX - SMH | 95% Closely correlated | +2.26% | ||
| TTEQ - SMH | 94% Closely correlated | -0.94% | ||
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The RSI Indicator for SMH moved out of oversold territory on July 30, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 22 similar instances when the indicator left oversold territory. In of the 22 cases the stock moved higher. This puts the odds of a move higher at .
The Momentum Indicator moved above the 0 level on August 07, 2026. You may want to consider a long position or call options on SMH as a result. In of 80 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for SMH just turned positive on August 05, 2026. Looking at past instances where SMH's MACD turned positive, the stock continued to rise in of 50 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in of 364 cases, the price rose further within the following month. The odds of a continued upward trend are .
SMH may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Stochastic Oscillator has been in the overbought zone for 1 day. Expect a price pull-back in the near future.
SMH moved below its 50-day moving average on July 15, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for SMH crossed bearishly below the 50-day moving average on July 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SMH declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for SMH entered a downward trend on August 07, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.