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 MVIS US Listed Semiconductor 25 Index, which tracks the most liquid U.S.-listed companies involved in semiconductor production and equipment. The fund carries a net expense ratio of 0.35% and manages roughly $74 billion in assets, making it one of the largest and most actively traded pure-play semiconductor vehicles available.
The portfolio is concentrated and mega-cap tilted. Nvidia is the largest position at roughly 20% of assets, followed by Taiwan Semiconductor Manufacturing, Broadcom, Advanced Micro Devices, Micron Technology, ASML, and major equipment and analog names such as Applied Materials, KLA, Lam Research, Texas Instruments, and Analog Devices. Geographically, about 82–84% of the fund is allocated to the United States, with the remainder dominated by Taiwan and the Netherlands.
Because the index is market-capitalization weighted with limited individual position caps, the ETF's future performance is heavily influenced by a handful of mega-cap names. This top-heavy structure amplifies both upside momentum during AI-driven rallies and downside volatility during sector repricings. Investors effectively gain diversified access to the semiconductor supply chain—from chip design and fabrication to memory and manufacturing equipment—through a single position, but with concentration risk concentrated at the top of the portfolio.
The semiconductor sector sits at the intersection of the artificial intelligence build-out, the memory up-cycle, and a still-elevated valuation environment. UBS and Barclays analysts have maintained constructive views, pointing to earnings growth forecasts and the argument that computing demand continues to outstrip supply, with capacity constraints unlikely to ease quickly. At the same time, the sector's valuation—well above broad-market averages—leaves limited room for disappointment.
Interest rates play an outsized role in this macro outlook. Higher yields tend to pressure long-duration, high-multiple equities, and semiconductor stocks are among the most rate-sensitive corners of the technology complex. Inflation and growth data will therefore matter not only for the broader equity market but specifically for how investors discount the sector's future cash flows.
On the demand side, AI infrastructure spending remains the structural anchor. Goldman Sachs has estimated that AI-related spending could exceed $800 billion on an annualized basis, with a disproportionate share flowing to the chip designers, foundries, and equipment makers that populate this ETF. However, the concentration of that demand among a small group of hyperscaler customers also creates single-point dependency: a slowdown in even one major buyer's orders could ripple across the entire portfolio.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool designed to help traders assess whether a stock, ETF, or other asset may trend bullish, bearish, or sideways over the coming week or month. It helps users identify developing trends, evaluate possible breakouts or reversals, and explore predictions across a broad universe of tradable instruments. The product organizes searchable prediction categories, provides historical context, and supports alert-oriented functionality to help traders monitor changing conditions. For those tracking the semiconductor complex, tools like this can add a data-driven layer to the analysis of sector momentum and ETF positioning.
Over a longer horizon, the semiconductor industry is underpinned by secular forces that extend well beyond any single quarter. The proliferation of artificial intelligence, cloud computing, and advanced data-center infrastructure continues to expand the addressable market for accelerators, memory, and connectivity chips. The growing importance of high-bandwidth memory and custom AI silicon points toward a more diversified demand base than the graphics-processor-centric rally of recent years.
Structural shifts in manufacturing are equally significant. Efforts to diversify advanced chip production geographically, coupled with rising capital intensity at leading-edge nodes, could reshape cost structures and margins across the supply chain. Equipment and materials suppliers may benefit from multi-year fab construction cycles, while foundries and memory producers navigate the tension between expansion spending and near-term profitability.
Investor behavior is evolving as well. The semiconductor trade has attracted record inflows and expanded participation from both institutions and retail investors, a dynamic that can reinforce trends in both directions. For investors using this ETF, the key structural considerations are concentration risk, valuation sensitivity to interest rates, and the durability of AI-related capital spending. These factors, rather than short-term price swings, are likely to define the fund's future trajectory.
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.
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| ETFs / NAME | Price $ | Chg $ | Chg % |
| QQQG | 32.64 | 0.28 | +0.87% |
| Pacer Nasdaq 100 Top 50 Cash Cows Growth Leaders ETF (QQQG) | |||
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| 3EDGE Dynamic Hard Assets ETF (EDGH) | |||
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| OSCV | 39.71 | 0.06 | +0.15% |
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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% | -0.65% | ||
| SOXQ - SMH | 99% Closely correlated | -0.49% | ||
| SOXX - SMH | 99% Closely correlated | -0.69% | ||
| FTXL - SMH | 98% Closely correlated | -0.74% | ||
| CHPS - SMH | 97% Closely correlated | +0.28% | ||
| CHPX - SMH | 96% Closely correlated | -0.08% | ||
More | ||||
Category Technology
SMH saw its Momentum Indicator move below the 0 level on October 09, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 80 similar instances where the indicator turned negative. In 79 of the 80 cases, the stock moved further down in the following days. The odds of a decline are at 90%.
The 10-day RSI Indicator for SMH moved out of overbought territory on October 07, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 47 similar instances where the indicator moved out of overbought territory. In 36 of the 47 cases, the stock moved lower in the following days. This puts the odds of a move lower at 77%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 53 of 63 cases where SMH's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 84%.
The Moving Average Convergence Divergence Histogram (MACD) for SMH turned negative on October 09, 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 46 of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at 90%.
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 50 of 62 cases within the following month. The odds of a continued downward trend are 81%.
SMH broke above its upper Bollinger Band on September 21, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for SMH entered a downward trend on September 21, 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.
SMH moved above its 50-day moving average on September 18, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for SMH crossed bullishly above the 50-day moving average on September 22, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 15 of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 88%.
Following a +2.60% 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in 328 of 358 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.