PSI
Price
$166.53
Change
-$3.91 (-2.29%)
Updated
Jun 24, 03:40 PM (EDT)
Net Assets
3.01B
Intraday BUY SELL Signals
SMH
Price
$612.93
Change
-$9.12 (-1.47%)
Updated
Jun 24, 03:44 PM (EDT)
Net Assets
78.4B
Intraday BUY SELL Signals
SOXX
Price
$590.61
Change
-$12.78 (-2.12%)
Updated
Jun 24, 04:24 PM (EDT)
Net Assets
46.98B
Intraday BUY SELL Signals
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PSI or SMH or SOXX

PSI vs SMH vs SOXX Comparison Chart in %
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Which ETF would AI Choose? Invesco Semiconductors ETF (PSI) vs. VanEck Semiconductor ETF (SMH) vs. iShares Semiconductor ETF (SOXX)

Key Takeaways

  • PSI employs a smart beta strategy via the Dynamic Semiconductor Intellidex Index, emphasizing factors like momentum and value, with around 30-31 U.S.-only holdings and a higher expense ratio of 0.56%.
  • SMH and SOXX are passive market-cap weighted funds tracking mega-cap heavy indexes, with SMH (25 holdings, 0.35% expense) including foreign ADRs like TSM for broader exposure, and SOXX (30 holdings, 0.34% expense) capping weights for reduced concentration.
  • SMH exhibits high concentration risk with top holdings over 70%, while SOXX offers better balance (~60% in top 10), and PSI provides mid-cap tilt for diversification depth.
  • All three deliver strong sector exposure to semiconductors (technology ~100%), but PSI's U.S.-focus avoids geopolitical risks tied to international names in SMH.
  • Cost efficiency favors SOXX and SMH; PSI's higher fees suit factor-driven strategies amid volatile market cycles.
  • Risk profiles vary: SMH amplifies mega-cap volatility, SOXX balances it, PSI leverages broader momentum for potential outperformance in rotations.

Introduction

PSI, SMH, and SOXX stand out as premier semiconductor ETFs, offering investors targeted exposure to the high-growth chip sector amid surging AI demand and digital transformation. While all compete in the same thematic space, they diverge strategically: PSI uses a smart beta approach for U.S. semiconductor stocks, SMH provides market-cap weighted access to the largest U.S.-listed names including foreign firms, and SOXX tracks a modified cap-weighted index with weight caps for enhanced balance. These differences in index methodology, holdings concentration, and geographic tilt make them compelling for comparison, especially as capital flows into semiconductors driven by AI infrastructure, cloud computing, and automotive electrification. Investors can select based on risk tolerance, cost preferences, and views on mega-cap dominance versus broader sector participation.

Invesco Semiconductors ETF (PSI) Overview

The Invesco Semiconductors ETF (PSI) tracks the Dynamic Semiconductor Intellidex Index, a smart beta benchmark selecting approximately 30 U.S. companies principally engaged in semiconductor manufacturing. This index evaluates stocks on factors including price momentum, earnings momentum, quality, management action, and value, aiming for capital appreciation. The fund holds around 31 stocks, with top holdings typically including MXL, AMD, MU, TXN, and AVGO (top 10 ~50%). Sector allocation is heavily tilted toward technology (97-100%). Its expense ratio is 0.56%, higher due to the quantitative methodology. PSI is non-diversified, rebalances quarterly (February, May, August, November), and focuses exclusively on domestic issuers, reducing foreign risk exposure.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) seeks to replicate the MVIS US Listed Semiconductor 25 Index (MVSMHTR), targeting the largest and most liquid companies in semiconductor production and equipment. It holds about 25-26 stocks, favoring industry leaders by market cap and trading volume, including U.S.-listed foreign firms for comprehensive representation. Top holdings feature NVDA (~18%), TSM (~11%), AVGO (~8%), INTC, and AMD (top 10 ~72%). Allocation is 100% technology. Expense ratio stands at 0.35%. As a non-diversified passive ETF, it emphasizes mega-caps, resulting in high concentration but strong liquidity.

iShares Semiconductor ETF (SOXX) Overview

The iShares Semiconductor ETF (SOXX) tracks the NYSE Semiconductor Index, composed of 30 U.S.-listed semiconductor equities across design, manufacturing, and distribution. It features modified market-cap weighting with caps (top five at 8%, others at 4%, ADRs limited to 10%) for balance. Holdings include MU (~9.8%), AMD (~9.2%), INTC (~7.4%), AVGO (~7.3%), and NVDA (~6.6%) (top 10 ~60%). Sectors: semiconductors (81%), equipment (19%). Expense ratio is 0.34%. Non-diversified and passive, it spans the value chain with high liquidity (median bid-ask spread 0.01%).

Industry and Thematic Landscape

The semiconductor sector thrives amid AI infrastructure expansion, cloud computing, and automotive electrification, with global sales projected to exceed $1 trillion by 2030 driven by generative AI and data centers. Macro drivers include hyperscaler capex surges (expected ~$600B in 2026), memory demand for high-bandwidth applications, and logic chips for servers. Regulatory shifts like the CHIPS and Science Act bolster U.S. manufacturing via subsidies, enhancing supply chain resilience against geopolitical tensions. Capital flows heavily into AI enablers, though risks persist from trade restrictions, workforce shortages, and potential demand moderation post-boom. Earnings growth in holdings like NVDA and AMD underscores momentum, balanced by cyclical vulnerabilities.

Performance and Positioning Comparison

In recent months, these ETFs have rallied on AI tailwinds, with PSI often leading in uptrends due to its momentum tilt and mid-cap exposure, delivering higher returns (e.g., YTD ~92%) but amplified volatility from factor sensitivity. SMH's mega-cap concentration boosts trend consistency during NVDA-led surges yet heightens drawdowns in rotations. SOXX balances with weight caps, showing smoother volatility, moderate drawdowns, and resilience via memory/equipment names like MU. Relative differences stem from structure: PSI thrives in broad cycles, SMH in leader-driven rallies, SOXX in diversified recoveries—all hypersensitive to macro factors like interest rates and capex.

AI Screener

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. It identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore it today to uncover semiconductor insights and beyond.

Tickeron AI Verdict

Tickeron’s AI currently favors SOXX, owing to its lowest expense ratio (0.34%), balanced diversification via weight caps mitigating concentration risk, stable momentum in recent cycles, and optimal risk-adjusted positioning across the semiconductor value chain. While PSI offers factor-driven upside and SMH mega-cap growth, SOXX provides probabilistic edge for sustained exposure amid volatility.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SMH has more net assets: 78.4B vs. SOXX (47B) and PSI (3.02B). PSI has a higher annual dividend yield than SOXX and SMH: PSI (116.150) vs SOXX (100.581) and SMH (72.729). PSI was incepted earlier than SMH and SOXX: PSI (21 years) vs SMH (15 years) and SOXX (25 years). SOXX (0.34) and SMH (0.35) has a lower expense ratio than PSI (0.56). PSI has a higher turnover SOXX (27.00) and SMH (12.00) vs SOXX (27.00) and SMH (12.00).
PSISMHSOXX
Gain YTD116.15072.729100.581
Net Assets3.02B78.4B47B
Total Expense Ratio0.560.350.34
Turnover78.0012.0027.00
Yield0.050.180.29
Fund Existence21 years15 years25 years
TECHNICAL ANALYSIS
Technical Analysis
PSISMHSOXX
RSI
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
88%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
90%
Momentum
ODDS (%)
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
88%
MACD
ODDS (%)
Bullish Trend 2 days ago
89%
Bearish Trend 2 days ago
90%
Bullish Trend 2 days ago
88%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
87%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 3 days ago
89%
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
89%
Declines
ODDS (%)
Bearish Trend 15 days ago
82%
Bearish Trend 15 days ago
82%
Bearish Trend 15 days ago
85%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
77%
Bearish Trend 2 days ago
88%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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PSI
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
SOXX
Daily Signal:
Gain/Loss:
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PSI and

Correlation & Price change

A.I.dvisor indicates that over the last year, PSI has been closely correlated with LRCX. These tickers have moved in lockstep 86% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To PSI
1D Price
Change %
PSI100%
-7.60%
LRCX - PSI
86%
Closely correlated
-9.33%
TER - PSI
84%
Closely correlated
-8.07%
SYNA - PSI
83%
Closely correlated
-6.52%
AMAT - PSI
83%
Closely correlated
-8.48%
KLAC - PSI
83%
Closely correlated
-9.17%
More

SMH and

Correlation & Price change

A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SMH
1D Price
Change %
SMH100%
-7.01%
LRCX - SMH
86%
Closely correlated
-9.33%
KLAC - SMH
83%
Closely correlated
-9.17%
AMAT - SMH
83%
Closely correlated
-8.48%
TSM - SMH
81%
Closely correlated
-6.69%
ASML - SMH
80%
Closely correlated
-7.82%
More