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 seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index before fees and expenses. This index focuses on companies engaged in semiconductor production and related equipment, resulting in a portfolio that is nearly 100% allocated to the information technology sector. The fund holds approximately 25 to 27 securities, with significant weightings in a handful of large-cap names that dominate global chip design, fabrication, and equipment supply.
Top holdings typically include prominent U.S. and internationally listed firms such as NVIDIA, Taiwan Semiconductor Manufacturing (listed as TSM), Broadcom, Advanced Micro Devices, and ASML Holding. Geographic exposure is heavily weighted toward the United States, with meaningful allocations to Taiwan and the Netherlands. The strategy emphasizes highly liquid, market-leading companies, which structurally aligns the ETF with growth in artificial intelligence infrastructure, data centers, and advanced computing applications. This positioning means future performance will be closely tied to sustained demand for semiconductors in emerging technologies and capital spending cycles.
Several developments could shape the ETF’s trajectory. Hyperscaler capital expenditure guidance provides a direct indicator of demand for graphics processors, memory chips, and fabrication capacity. Upward revisions in these budgets have historically supported earnings growth across the semiconductor value chain.
Interest rate policy decisions by central banks influence borrowing costs for semiconductor manufacturers expanding production facilities. Lower or stable rates may facilitate continued investment in new capacity. Inflation trends affect input costs and consumer electronics demand, indirectly influencing chip orders.
Earnings seasons for key holdings offer visibility into order books and margin trends, particularly for memory and logic chip segments. Policy or regulatory changes related to export controls and technology transfers could alter supply chain dynamics for globally integrated companies. ETF inflows or outflows will also reflect broader investor sentiment toward the sector amid evolving macroeconomic conditions.
The semiconductor sector operates within a cyclical yet structurally expanding environment driven by digital transformation. Equity market trends favoring growth-oriented technology stocks have amplified exposure to this asset class. Bond market conditions and interest rate cycles affect the cost of capital for research, development, and fabrication plant construction.
Global economic growth expectations influence overall technology spending, while currency movements can impact the competitiveness of U.S.-listed foreign issuers. Commodity cycles, particularly for rare materials used in chip production, add another layer of sensitivity. The index underlying the ETF captures these dynamics through its focus on both design and equipment companies, making broader equity market sentiment and capital expenditure patterns central to its outlook.
Tickeron’s 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. For additional insights, visit the Trend Prediction Engine.
Long-term sector growth is underpinned by accelerating technology adoption in artificial intelligence, cloud computing, and electrification. Demographic trends supporting higher digital consumption and economic cycles favoring productivity-enhancing investments further reinforce demand for semiconductors. Market structure changes, including shifts toward more advanced process technologies and specialized memory solutions, favor companies with strong research and development capabilities.
Interest rate cycles will continue to influence capital allocation decisions across the industry. Global investment trends toward digital infrastructure suggest sustained relevance for the underlying index, provided supply chain resilience improves and innovation maintains its pace. The ETF’s structural positioning offers broad participation in these themes without requiring individual security selection.
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% | +3.10% | ||
| SOXQ - SMH | 99% Closely correlated | +2.36% | ||
| SOXX - SMH | 99% Closely correlated | +1.95% | ||
| FTXL - SMH | 98% Closely correlated | +1.88% | ||
| SMHX - SMH | 95% Closely correlated | +3.72% | ||
| TTEQ - SMH | 94% Closely correlated | +2.42% | ||
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The RSI Oscillator 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 Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 53 cases where SMH's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that 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 366 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 Aroon Indicator entered an Uptrend today. In of 335 cases where SMH Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Momentum Indicator moved below the 0 level on August 18, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SMH as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for SMH turned negative on August 24, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at .
SMH moved below its 50-day moving average on August 18, 2026 date and that indicates a change from an upward trend to a downward trend.
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 .