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 price and yield performance, before fees and expenses, of the MVIS US Listed Semiconductor 25 Index (MVSMHTR). This benchmark targets the 25 largest and most liquid U.S. exchange-listed companies involved in semiconductor production and equipment, requiring at least 50% of revenue from these areas. Eligible firms must have a market cap over $150 million and three-month average daily trading volume exceeding $1 million.
SMH employs a passive, full-replication strategy as a non-diversified ETF, currently holding 26 securities. Top holdings include NVIDIA Corp (NVDA, 19.27%), Taiwan Semiconductor Manufacturing Co Ltd (TSM, 10.17%), Broadcom Inc (AVGO, 7.21%), Micron Technology Inc (MU, 6.56%), ASML Holding NV (ASML, 5.89%), Lam Research Corp (LRCX, 5.78%), Advanced Micro Devices Inc (AMD, 4.95%), Texas Instruments Inc (TXN, 4.95%), Applied Materials Inc (AMAT, 4.88%), and KLA Corp (KLAC, 4.80%). The top 10 comprise 74.46% of assets.
Sector allocation is overwhelmingly Information Technology at 99.9%. Geographically, the U.S. dominates at 80.16%, followed by Taiwan (10.17%) and the Netherlands (7.26%). The fund's expense ratio is 0.35%, with a modified market-cap weighting scheme capping individual issuers at 20%. The index undergoes semi-annual reviews in March and September, with quarterly rebalances. Inception date is December 20, 2011.
The semiconductor sector powers critical technologies from AI data centers to automotive systems and consumer electronics. Structural growth drivers include explosive demand for advanced chips in generative AI, where high-value logic and memory components are projected to drive nearly half of industry revenues toward $975 billion in 2026. Catalysts encompass hyperscaler capital expenditures on AI infrastructure, edge computing proliferation, and expansions in high-bandwidth memory (HBM) and advanced packaging.
Regulatory developments like U.S. CHIPS Act incentives bolster domestic fabrication, while macroeconomic factors such as sustained interest rates and supply chain diversification influence capital flows. Geopolitical risks, including U.S.-China tensions and Taiwan dependencies, pose headwinds alongside cyclical vulnerabilities in non-AI segments like PCs and smartphones. Despite these, AI's multi-year buildout supports robust equipment and foundry utilization.
In recent market cycles, SMH has demonstrated resilience amid sector rotation toward AI beneficiaries, outperforming broader equities through earnings seasons highlighting data center ramps. Over the past year, it posted strong gains, with 1-year NAV returns around 66% as of late January 2026, fueled by AI chip demand and contributions from top holdings like NVDA and TSM. Recent trading sessions reflect continued momentum from hyperscaler spending and memory recovery, though volatility persists with macro data on rates and commodity inputs. The ETF's concentration has amplified upside during AI-led rallies while heightening sensitivity to tech drawdowns.
Tickeron’s Trending AI Robots page showcases the platform's top-performing AI trading bots from among hundreds covering thousands of tickers. These curated selections highlight the strongest under current market conditions, varying by strategy such as trend following, mean reversion, or pairs trading; timeframes from 5 minutes to daily; and performance metrics including win rates up to 88% and annualized returns reaching 200% or more in backtested and live periods. Users can explore bots like double agents on pairs such as AMD/SOXS or high-frequency scalpers on individual stocks, each powered by financial learning models adapting to volatility. This resource aids traders seeking automated, data-driven edges. Visit the page to discover and deploy these tools tailored to prevailing trends.
Looking to 2026, the semiconductor space faces a confluence of structural drivers and macro risks. AI infrastructure expansion remains paramount, with generative AI chips potentially comprising half of $975 billion in global sales, propelled by data center hyperscaling and inference workloads. Foundries like TSM and equipment leaders such as ASML and LRCX stand to benefit from capex surges in advanced nodes and packaging, while memory demand for HBM tightens supply chains.
Policy shifts, including CHIPS Act disbursements and trade policies, could accelerate onshoring, though U.S.-China frictions risk disruptions. Earnings cycles for top holdings—particularly NVDA's GPU roadmap and MU's DRAM/HBM ramp—will signal sustainability beyond training to edge AI and autos. Competitive pressures intensify with custom ASICs from hyperscalers and emerging players in power semis for EVs.
Capital flows may rotate if rates stay elevated, favoring value over growth, yet AI's multi-year horizon supports inflows. Expense ratios like SMH's 0.35% remain competitive amid a crowded thematic ETF landscape. Monitor supply constraints, geopolitical stability, and diversification into non-AI end-markets for balanced exposure. Overall, enduring tech adoption underpins the sector's trajectory, tempered by execution risks.
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.
SMH saw its Momentum Indicator move below the 0 level on March 02, 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 78 similar instances where the indicator turned negative. In of the 78 cases, the stock moved further down in the following days. The odds of a decline are at .
The 10-day RSI Indicator for SMH moved out of overbought territory on January 30, 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 45 similar instances where the indicator moved out of overbought territory. In of the 45 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Moving Average Convergence Divergence Histogram (MACD) for SMH turned negative on February 27, 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 48 similar instances when the indicator turned negative. In of the 48 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 March 06, 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 .
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 3 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in of 355 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 315 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