The VanEck Semiconductor ETF (SMH) tracks the MVIS US Listed Semiconductor 25 Index, focusing on the largest U.S.-listed companies involved in semiconductor production and equipment. With approximately 26 holdings, the ETF provides concentrated exposure to the semiconductor sector, which accounts for nearly 100% of its portfolio. Top holdings include NVIDIA Corp. (NVDA) at 18.8%, Taiwan Semiconductor Manufacturing Co. (TSM) at 10.7%, and Broadcom Inc. (AVGO) at 8.5%, followed by Intel Corp. (INTC) and Advanced Micro Devices Inc. (AMD).
From what I see, this heavy weighting toward AI chip leaders and foundries explains SMH's sensitivity to technology trends, particularly the AI boom, making it prone to sharp moves tied to sector sentiment and earnings.
Over the last 30 days, SMH rose +20%, climbing from around $385 to $464. The movement was volatile, featuring a late-March low near $363 before a steady April uptrend driven by positive sector news.
For the past quarter, the ETF advanced +15%, from approximately $402 to $464. Performance was range-bound early on, with a notable dip in late March due to broader market profit-taking, followed by a strong recovery. This trend highlights SMH's beta to semiconductor cycles, exhibiting higher volatility than the broader market. One thing that stands out is how I also checked this using Tickeron’s AI Screener to see how SMH compares to others in the industry.
In my view, SMH's +20% gain stemmed primarily from explosive demand for AI infrastructure, boosting top holdings. NVDA, the largest position, rallied on record data center sales and AI GPU dominance. Similarly, TSM benefited from surging orders for advanced chips used in AI applications, while AVGO gained from custom AI accelerators.
Semiconductor sector performance surged, with equipment makers like Lam Research (LRCX) and KLA Corp. (KLAC) posting strong gains amid capacity expansions. Fund flows into SMH remained robust, with assets under management (AUM, total value of fund assets) exceeding $52 billion. Market sentiment shifted positively on AI capex forecasts, overshadowing minor concerns like inventory builds.
The quarter's +15% return reflected sustained AI tailwinds tempered by volatility. Early strength came from AI hype, but a late-March pullback—triggered by profit-taking after prior highs and brief channel breakdowns—pushed prices to $363. April's rebound erased losses, fueled by strong earnings from NVDA and TSM, plus optimism for 2026 semiconductor sales hitting $975 billion.
Macro factors like stable interest rates supported growth stocks, while institutional inflows into tech ETFs bolstered SMH. Cumulative impacts from top holdings' outperformance and sector cycles outweighed temporary dips, affirming semiconductors' role in AI and data center expansion. I'm watching this closely, especially with tools like Tickeron's AI signals helping track these patterns.
I rely on Tickeron’s AI Screener as part of my regular research—it's an AI-powered stock and ETF discovery tool that helps me filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. I use it to scan thousands of stocks and ETFs with customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. It identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. If you're analyzing ETFs like SMH, it's worth exploring to enhance your process and uncover hidden gems in sectors like semiconductors.
Investors should monitor AI capital expenditures from hyperscalers, as they directly impact demand for SMH holdings. Track earnings from key players like NVDA and TSM, alongside semiconductor equipment orders. Macro factors including interest rates, inflation, and U.S.-China trade tensions could influence supply chains. Sector trends like memory demand and foundry utilization rates remain critical, as do ETF fund flows and AUM shifts signaling institutional interest. Volatility from geopolitical risks or economic data warrants attention.
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SMH saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on May 18, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 50 instances where the indicator turned negative. In of the 50 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .
The 10-day RSI Indicator for SMH moved out of overbought territory on May 15, 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 50 similar instances where the indicator moved out of overbought territory. In of the 50 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
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 08, 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 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 362 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 313 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology