MAGS
Price
$62.66
Change
-$0.48 (-0.76%)
Updated
Jun 24, 04:59 PM (EDT)
Net Assets
3.37B
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
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MAGS vs SMH

MAGS vs SMH Comparison Chart in %
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Which ETF would AI Choose? Roundhill Magnificent Seven ETF (MAGS) vs. VanEck Semiconductor ETF (SMH)

Key Takeaways

  • MAGS provides equal-weight exposure to the seven "Magnificent Seven" mega-cap tech leaders across information technology, communication services, and consumer discretionary sectors, offering concentrated diversification beyond pure semiconductors.
  • SMH tracks the MVIS US Listed Semiconductor 25 Index with 26 holdings, delivering focused exposure to semiconductor production and equipment companies, 100% in technology.
  • MAGS has a lower expense ratio of 0.29-0.30% compared to SMH's 0.35%, with quarterly rebalancing for equal weights versus SMH's market-cap weighting.
  • Both exhibit high liquidity suitable for traders, but SMH's larger AUM (over $60B) supports superior trading volume.
  • SMH offers broader semiconductor industry coverage, while MAGS emphasizes balanced mega-cap tech dominance with lower single-sector risk.
  • Structural differences position SMH for pure AI chip supply chain momentum, while MAGS captures broader tech innovation drivers.

Introduction

In the AI-driven market environment, investors seek targeted exposure to high-growth technology themes. The MAGS and SMH ETFs provide alternative pathways within overlapping tech ecosystems. MAGS offers equal-weight access to the Magnificent Seven stocks—dominant innovators in cloud, software, social media, e-commerce, hardware, and AI—while SMH delivers precise semiconductor sector exposure critical to AI infrastructure. Though not direct competitors, they appeal to investors balancing concentrated mega-cap leadership against specialized chip industry dynamics. Comparing them reveals trade-offs in diversification, cost, and positioning amid surging AI demand and sector rotation.

Roundhill Magnificent Seven ETF (MAGS) Overview

The Roundhill Magnificent Seven ETF (MAGS) is an actively managed fund launched in April 2023, seeking capital growth through equal-weight exposure to Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta Platforms (META), Microsoft (MSFT), NVIDIA (NVDA), and Tesla (TSLA). It rebalances quarterly to maintain roughly 14% per holding, using total return swaps alongside direct equities and Treasury collateral for Regulated Investment Company (RIC) diversification compliance.

Top holdings typically include each at ~14%, with recent weights around 14.3% for NVDA and similar for peers. Sector allocation spans information technology (~43%), communication services (~29%), and consumer discretionary (~29%). The gross expense ratio is 0.30%, with AUM near $4.8B. As a non-diversified, thematic ETF, MAGS emphasizes tax efficiency and liquidity for traders, distinguishing it via precise mega-cap tech purity without broader index dilution.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) is a passively managed fund inception December 2011, tracking the MVIS US Listed Semiconductor 25 Index of the largest, most liquid U.S.-listed semiconductor firms involved in production and equipment. It holds 26 companies in a market-cap-weighted structure, with top holdings like NVIDIA (NVDA) at ~17%, Taiwan Semiconductor (~10%), Broadcom (AVGO) (~8%), Intel (INTC) (~7%), and AMD (AMD) (~7%). Top 10 comprise ~72%.

Sector allocation is 100% technology (semiconductors). The expense ratio is 0.35%, AUM exceeds $65B, supporting exceptional liquidity. Non-diversified by design, SMH focuses on industry leaders, with turnover around 12%, capturing the full chip ecosystem from design to manufacturing equipment without leverage or active overlays.

Industry and Thematic Backdrop

The technology sector, particularly semiconductors, thrives amid an AI supercycle. Forecasts project global semiconductor revenues surpassing $1 trillion in 2026, up over 50% year-over-year, driven by AI infrastructure, high-bandwidth memory (HBM), and hyperscaler capital expenditures nearing $600B. Catalysts include generative AI chip demand (~30% of revenues), data center expansions, and advanced packaging innovations. Capital flows favor AI enablers, with memory and logic segments accelerating 30%+.

Macro drivers like sustained hyperscaler investments outweigh risks such as supply chain bottlenecks, geopolitical tensions over Taiwan, and cyclical downturns in autos/consumer electronics. Regulatory scrutiny on AI ethics and energy use adds caution, but sector momentum persists, benefiting pure-play chip exposure while mega-cap tech leverages ecosystem dominance.

Performance and Positioning Comparison

In recent months, SMH has demonstrated stronger relative positioning, propelled by semiconductor momentum in AI accelerators and memory amid hyperscaler buildouts. Broader cycles favor SMH's concentrated exposure to chip leaders like NVDA and TSM, outpacing MAGS during sector rotations toward hardware infrastructure.

MAGS, balancing laggards like TSLA via quarterly rebalancing, exhibits lower volatility but trails in pure semi upswings, reflecting diversified tech drivers including software/cloud. Both correlate (~0.7), yet SMH's market-cap tilt amplifies leaders, while MAGS' equal-weight mitigates single-stock drawdowns. Interest rate stability and AI earnings cycles sustain semi outperformance, though MAGS offers resilience in broader tech rotations.

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. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes. Explore it today to uncover hidden gems in tech and beyond.

Tickeron AI Verdict

Tickeron’s AI currently favors SMH with moderate conviction (~65% probability edge). Its structural purity in semiconductors aligns with AI infrastructure momentum, broader 26-holding diversification within the sector, and superior trend consistency amid hyperscaler flows. While MAGS excels in cost efficiency and mega-cap balance, SMH's focused exposure and liquidity better capture current sector tailwinds, albeit with elevated volatility from cap-weighting.

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

VS
MAGS vs. SMH commentary
Jun 24, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is MAGS is a Hold and SMH is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SMH has more net assets: 78.4B vs. MAGS (3.37B). SMH has a higher annual dividend yield than MAGS: SMH (72.729) vs MAGS (-4.275). MAGS was incepted earlier than SMH: MAGS (3 years) vs SMH (15 years). MAGS (0.30) has a lower expense ratio than SMH (0.35). MAGS has a higher turnover SMH (12.00) vs SMH (12.00).
MAGSSMHMAGS / SMH
Gain YTD-4.27572.729-6%
Net Assets3.37B78.4B4%
Total Expense Ratio0.300.3586%
Turnover27.0012.00225%
Yield1.380.18749%
Fund Existence3 years15 years-
TECHNICAL ANALYSIS
Technical Analysis
MAGSSMH
RSI
ODDS (%)
Bullish Trend 2 days ago
87%
Bearish Trend 2 days ago
81%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
85%
Momentum
ODDS (%)
Bearish Trend 2 days ago
78%
Bullish Trend 2 days ago
89%
MACD
ODDS (%)
Bearish Trend 3 days ago
86%
Bearish Trend 2 days ago
90%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
78%
Bearish Trend 2 days ago
86%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
86%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 28 days ago
90%
Bullish Trend 3 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
76%
Bearish Trend 15 days ago
82%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
77%
Aroon
ODDS (%)
Bearish Trend 2 days ago
88%
Bullish Trend 2 days ago
90%
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MAGS
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
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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%
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