Semiconductor ETFs have gained attention among traders and investors seeking targeted exposure to the technology hardware sector amid ongoing innovation in artificial intelligence, data centers, and advanced computing. SEMI and SMH represent two distinct vehicles for accessing this space, each tracking different benchmarks with varying geographic and company emphases. This comparison is relevant for portfolio managers, sector specialists, and traders evaluating relative performance, diversification benefits, and positioning within broader equity allocations. The analysis draws on observable market data and sector trends to highlight contrasts without projecting future outcomes.
The Global X Semiconductor ETF (SEMI) seeks to track the performance of leading semiconductor companies worldwide. Its holdings typically include major players in chip design, manufacturing, and equipment, providing diversified exposure across regions. In recent weeks, the ETF has mirrored sector-wide movements tied to demand for advanced chips used in AI applications and consumer electronics. Market sentiment has responded to supply chain updates and corporate earnings from underlying companies, contributing to volatility consistent with the broader technology landscape. Performance has been shaped by global economic indicators and trade-related developments affecting international semiconductor supply.
The VanEck Semiconductor ETF (SMH) aims to replicate the MVIS US Listed Semiconductor 25 Index, focusing on U.S.-listed companies involved in semiconductor production and equipment. It offers concentrated exposure to prominent names in the industry. Recent market activity has seen the ETF track developments in U.S. semiconductor leadership, influenced by domestic policy support for chip manufacturing and strong demand from hyperscale data centers. Sentiment shifts in recent weeks have aligned with earnings seasons and broader equity market rotations into technology, with performance reflecting the index's emphasis on high-market-capitalization constituents.
Tickeron’s Trending AI Robots page showcases a curated selection of AI-powered trading bots from a platform offering hundreds of such tools that operate across thousands of different tickers. Only those demonstrating strong alignment with prevailing market conditions earn placement in this section. Available bots span a wide range of trading styles, strategies, timeframes, performance metrics, and ticker sets, with statistics often including win rates, drawdowns, and return profiles that vary significantly by bot. This diversity allows users to explore options suited to different risk tolerances and market views. For more details, visit the Trending AI Robots page.
SEMI and SMH both target the semiconductor sector but differ in index construction and geographic scope. SEMI emphasizes global companies, potentially offering broader diversification across international manufacturers, while SMH prioritizes U.S.-listed entities, which may align more closely with domestic market dynamics and policy influences. Growth drivers for both center on AI-related demand and technological advancement, yet SMH’s index may exhibit higher concentration in leading U.S. firms. Recent momentum has been comparable amid sector tailwinds, though liquidity profiles and expense structures present trade-offs for active traders. Risk factors such as regulatory changes and cyclicality affect both, with market sentiment reflecting shared exposure to the same underlying industry trends.
Based on observable factors including trend consistency in recent market activity, relative stability of holdings, and positioning within the semiconductor sector, Tickeron’s AI models would currently assign a modest probabilistic preference to SMH due to its concentrated focus on U.S.-listed leaders and alignment with domestic catalysts. However, outcomes remain subject to evolving market conditions, and neither ETF demonstrates clear dominance across all evaluated metrics.
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.
| SEMI | SMH | SEMI / SMH | |
| Gain YTD | 20.818 | 50.093 | 42% |
| Net Assets | 37.6M | 68.1B | 0% |
| Total Expense Ratio | 0.75 | 0.35 | 214% |
| Turnover | 65.00 | 12.00 | 542% |
| Yield | 3.74 | 0.20 | 1,830% |
| Fund Existence | 4 years | 15 years | - |
| SEMI | SMH | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 84% | 4 days ago 89% |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 86% |
| TrendMonth ODDS (%) | 4 days ago 82% | 4 days ago 86% |
| Advances ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Declines ODDS (%) | 6 days ago 79% | 6 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 85% | 4 days ago 90% |
A.I.dvisor indicates that over the last year, SEMI has been closely correlated with TSM. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if SEMI jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To SEMI | 1D Price Change % | ||
|---|---|---|---|---|
| SEMI | 100% | +1.20% | ||
| TSM - SEMI | 80% Closely correlated | +0.23% | ||
| NVDA - SEMI | 74% Closely correlated | +2.93% | ||
| MU - SEMI | 73% Closely correlated | -5.90% | ||
| TER - SEMI | 67% Closely correlated | +0.60% | ||
| WDC - SEMI | 66% Loosely correlated | +2.21% | ||
More | ||||