PSI and SMH provide targeted exposure to the semiconductor sector, a cornerstone of technology innovation amid surging AI infrastructure demand. While both ETFs focus on companies involved in chip design, manufacturing, and equipment, they represent alternative strategies: PSI's factor-based selection targets a balanced U.S.-only portfolio, while SMH's market-cap weighting emphasizes the largest, most liquid U.S.-listed players, including ADRs (American Depositary Receipts). This ETF comparison is particularly relevant now as hyperscalers ramp up capital expenditures for AI data centers, driving sector rotation toward semiconductors. Investors seeking pure-play exposure must weigh diversification versus concentration in this high-growth, volatile arena.
The Invesco Semiconductors ETF (PSI) tracks the Dynamic Semiconductor Intellidex Index, a smart beta benchmark comprising approximately 30 common stocks of U.S. semiconductor companies principally engaged in manufacturing semiconductors. This passive yet factor-driven strategy selects and weights holdings based on investment merit criteria including price momentum, earnings momentum, quality, management action, and value, aiming for capital appreciation. The fund holds around 31 stocks, with top holdings often including MXL (~8-9%), AMD (~6-7%), MU, TXN, and AVGO, where the top 10 account for ~50% of assets. Sector allocation is heavily tilted toward technology (~98%), with minor industrials exposure. The expense ratio stands at 0.56%, and the non-diversified fund rebalances quarterly (February, May, August, November), potentially leading to higher turnover. PSI's U.S.-only focus distinguishes it structurally, emphasizing mid- and small-cap vulnerability alongside growth potential.
The VanEck Semiconductor ETF (SMH) seeks to replicate the MVIS US Listed Semiconductor 25 Index, a market-cap-weighted benchmark tracking the performance of the 25 largest and most liquid U.S.-exchange-listed semiconductor companies involved in production and equipment. This passive strategy favors industry leaders, including U.S.-listed foreign firms via ADRs, for enhanced representation. The fund holds ~26 stocks, with top holdings dominated by NVDA (~18%), TSM (~10%), INTC (~7-8%), AVGO, and AMD, comprising ~72% of assets. Allocation is 100% technology. The expense ratio is a competitive 0.35%, with low turnover (~12%) reflecting stable mega-cap focus. As a non-diversified fund, SMH amplifies liquidity and global scope within U.S. listings, positioning it for momentum-driven sector gains.
The semiconductor sector operates in a robust environment fueled by AI infrastructure expansion, with global sales projected to approach $1 trillion in 2026 amid a historic upcycle. Key catalysts include hyperscaler capital expenditures exceeding $600 billion, prioritizing high-bandwidth memory (HBM) and advanced logic for data centers, alongside memory price surges from supply constraints. Capital flows favor AI accelerators, networking, and equipment, supported by server refresh cycles and edge AI deployment. Regulatory developments like the CHIPS Act bolster domestic manufacturing, while macroeconomic drivers such as interest rate stability aid capex. Risks encompass geopolitical tensions, HBM bottlenecks, energy costs, and potential softening in consumer electronics, though AI demand structurally reprices the industry upward.
In recent weeks and months, both PSI and SMH have surged with semiconductor tailwinds from AI earnings beats at holdings like NVDA and AMD, amplified by hyperscaler capex and memory recovery. SMH's mega-cap concentration has delivered strong relative positioning in momentum phases, though trailing PSI's factor-balanced gains in broader rotations (e.g., PSI up ~92% YTD vs. SMH ~57%). PSI exhibits higher volatility (~11% vs. SMH's ~9% over recent months), reflecting mid-cap sensitivity, but quarterly rebalancing provides consistency across earnings cycles. SMH's lower beta suits trend-following amid sector leaders' dominance, while PSI offers diversification benefits during value shifts or equipment/memory upswings, connecting to interest rate expectations and AI supply chain dynamics.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions in dynamic sectors like semiconductors. Explore it today to uncover hidden gems aligned with your strategy.
Tickeron’s AI currently favors SMH with moderate probability due to its lower expense ratio, superior long-term trend consistency (e.g., 10-year annualized ~37% vs. PSI's ~34%), cost efficiency, and alignment with mega-cap momentum in the AI supercycle. SMH's liquidity profile and concentrated exposure to sector leaders enhance relative positioning amid capital flows to high-bandwidth applications, despite PSI's diversification and rebalancing strengths. This assessment reflects observable structural advantages, not advice.
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| PSI | SMH | PSI / SMH | |
| Gain YTD | 88.080 | 54.483 | 162% |
| Net Assets | 2.43B | 63B | 4% |
| Total Expense Ratio | 0.56 | 0.35 | 160% |
| Turnover | 78.00 | 12.00 | 650% |
| Yield | 0.06 | 0.22 | 25% |
| Fund Existence | 21 years | 14 years | - |
| PSI | SMH | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| Stochastic ODDS (%) | 3 days ago 90% | N/A |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 3 days ago 85% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| Declines ODDS (%) | 20 days ago 83% | 20 days ago 83% |
| BollingerBands ODDS (%) | 3 days ago 89% | 3 days ago 81% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| USSH | 50.37 | -0.06 | -0.11% |
| WisdomTree 1-3 Year Laddered Trsy ETF | |||
| NVBW | 35.24 | -0.11 | -0.31% |
| AllianzIM US Equity Buffer20 Nov ETF | |||
| PSCT | 78.65 | -1.02 | -1.28% |
| Invesco S&P SmallCap Info Tech ETF | |||
| IVOO | 122.22 | -2.03 | -1.63% |
| Vanguard S&P Mid-Cap 400 ETF | |||
| AVGW | 49.60 | -1.87 | -3.63% |
| Roundhill AVGO WeeklyPay ETF | |||
A.I.dvisor indicates that over the last year, PSI has been closely correlated with LRCX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if PSI jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To PSI | 1D Price Change % | ||
|---|---|---|---|---|
| PSI | 100% | -3.00% | ||
| LRCX - PSI | 85% Closely correlated | -4.82% | ||
| TER - PSI | 84% Closely correlated | -5.24% | ||
| SYNA - PSI | 83% Closely correlated | -1.19% | ||
| MKSI - PSI | 81% Closely correlated | -3.39% | ||
| AMAT - PSI | 81% Closely correlated | -0.89% | ||
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