The VanEck Semiconductor ETF (SMH) tracks the MVIS US Listed Semiconductor 25 Index, offering exposure to the 25 largest and most liquid U.S.-listed companies in semiconductor production and equipment. It operates through passive replication of this modified market-cap-weighted index, targeting firms that derive at least 50% of their revenue from semiconductors or related equipment. With over $40 billion in assets under management (AUM) and a low expense ratio of 0.35%, SMH holds a strong position in the technology ETF landscape.
In my view, SMH's heavy weighting toward leaders like NVIDIA (about 20%), Taiwan Semiconductor Manufacturing (around 12%), and Broadcom (8%) plays a key role. This focus aligns well with the robust fundamentals in AI-driven demand, which has supported recent price strength even as hyperscalers ramp up data center investments against some macro headwinds.
Over the last 30 days, SMH moved from a closing price of approximately $397 in early March to $440 today, delivering a +10.6% gain. The path was volatile, with a dip to $360 mid-March due to sector pressures, followed by a steady rebound as trends recovered.
Looking at the past quarter, the ETF gained +13.0%, rising from around $389 in early January to $440. This included early gains fueled by AI momentum, a range-bound mid-period with some dips, and recent upside that outperformed its technology category benchmark.
From what I see, SMH's 30-day advance was largely fueled by optimism on AI infrastructure spending and the resolution of supply disruptions. Hopes for a ceasefire in the Iran conflict eased concerns over helium shortages—vital for chip manufacturing—from Qatar facilities, leading to sharp rebounds with gains exceeding 5% in single sessions.
Strong demand for AI chips lifted top holdings: NVDA and AVGO rose on solid earnings and capex forecasts from hyperscalers like Microsoft and Amazon. I also checked this using Tickeron’s AI Screener to compare how these stocks stack up against industry peers, and analyst upgrades on memory sector recovery helped shift sentiment positively, offsetting earlier worries from oil price spikes and data center energy costs.
Tailwinds from Broadcom's AI networking progress and broader semis momentum added to the ETF's rise, with surging volumes confirming the uptrend.
The quarter's +13% increase reflected enduring AI themes that outweighed macro challenges. Early momentum stemmed from TSM's record profits and capex increases to $52-56 billion for AI chips, boosting SMH as global supply chains expanded.
March saw dips linked to Iran war disruptions, including risks to helium and bromine supplies plus rising oil costs, with SMH dropping over 10% intra-month. Yet institutional buying and Big Tech's AI capex commitments provided support for the recovery.
This is important because holdings like ASML are well-positioned in advanced lithography, and U.S. manufacturing shifts help mitigate Taiwan-related risks. Investors have treated dips as opportunities in this growth sector.
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I'm watching upcoming earnings from NVDA, TSM, and AVGO closely, as they could reinforce AI demand trends. Shifts toward inference workloads and high-bandwidth memory (HBM) expansion will be pivotal.
Macro elements like interest rate trajectories, energy-driven inflation, and regulatory export controls on AI chips deserve attention. Geopolitical updates in the Middle East, particularly helium supply stability, remain a supply risk.
Strategic developments such as U.S.-Taiwan chip agreements and hyperscaler capex news will shape sentiment. Keep an eye on institutional flows into semis ETFs and how they stack up against software competitors.
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SMH saw its Momentum Indicator move above the 0 level on April 06, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 79 similar instances where the indicator turned positive. In of the 79 cases, the stock moved higher in the following days. The odds of a move higher are at .
The Moving Average Convergence Divergence (MACD) for SMH just turned positive on April 02, 2026. Looking at past instances where SMH's MACD turned positive, the stock continued to rise in of 49 cases over the following month. The odds of a continued upward trend are .
SMH moved above its 50-day moving average on April 07, 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 April 13, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 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 .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in of 357 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 320 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 RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 20 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 22 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
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 .
SMH broke above its upper Bollinger Band on May 06, 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology