CHAT
Price
$96.41
Change
-$7.66 (-7.36%)
Updated
Jun 23, 04:59 PM (EDT)
Net Assets
2.25B
Intraday BUY SELL Signals
QTUM
Price
$163.20
Change
-$5.40 (-3.20%)
Updated
Jun 23, 04:59 PM (EDT)
Net Assets
6.34B
Intraday BUY SELL Signals
SMH
Price
$621.52
Change
-$47.39 (-7.08%)
Updated
Jun 23, 04:59 PM (EDT)
Net Assets
78.4B
Intraday BUY SELL Signals
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CHAT or QTUM or SMH

CHAT vs QTUM vs SMH Comparison Chart in %
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Which ETF would AI Choose? Roundhill Generative AI & Technology ETF (CHAT) vs. Defiance Quantum ETF (QTUM) vs. VanEck Semiconductor ETF (SMH)

Key Takeaways

  • CHAT offers actively managed exposure to generative AI across platforms, infrastructure, and software, with 42 holdings and a higher 0.75% expense ratio, providing targeted thematic tilt but less diversification.
  • QTUM passively tracks the BlueStar Machine Learning and Quantum Computing Index with 86 holdings, balancing quantum and ML themes at a 0.40% expense ratio, emphasizing broader tech disruption.
  • SMH delivers concentrated passive exposure to the MVIS US Listed Semiconductor 25 Index via 26 holdings, featuring the lowest 0.35% expense ratio and highest liquidity in a pure-play semiconductor benchmark.
  • SMH exhibits superior cost efficiency and scale ($65B AUM), while CHAT and QTUM provide differentiated AI/quantum angles with moderate diversification depth.
  • Concentration risk is highest in SMH (top 10 ~70%), moderate in CHAT (~45%), and lowest in QTUM (~20%), influencing volatility profiles in tech cycles.
  • All three maintain heavy technology sector weighting (>80%), but QTUM adds industrials (~10%) for reduced correlation to semis downturns.

Introduction

Investors navigating the AI and advanced computing boom find CHAT, QTUM, and SMH highly relevant for comparison. These ETFs represent varied strategic approaches to overlapping themes: CHAT's active management targets generative AI innovators, QTUM's passive index tracks quantum computing and machine learning disruptors, and SMH's passive benchmark focuses on semiconductor leaders powering AI hardware. While competing in technology exposure, they differ in structure—active vs. passive—holdings count, and sub-themes, offering tiered risk from SMH's concentrated semis play to QTUM's diversified quantum tilt. In recent market cycles, surging AI demand has amplified their appeal amid capital flows into compute infrastructure.

Roundhill Generative AI & Technology ETF (CHAT) Overview

The Roundhill Generative AI & Technology ETF (CHAT) is an actively managed thematic fund seeking capital appreciation by investing in companies driving generative AI innovation. It focuses on platforms developing large language models, infrastructure like AI-tailored semiconductors, and enterprise/consumer software applications. With 42 holdings, top positions include NVDA (6.85%), GOOGL (6.49%), AMD (5.78%), SK hynix (5.76%), and MU (5.63%). Sector allocation tilts heavily to technology (~70%) and communication services (~20%). The expense ratio is 0.75%, with AUM at $1.63B since inception in May 2023. Distinguishing features include active security selection by an investment committee and annual distributions, positioning it for rapid AI adoption trends.

Defiance Quantum ETF (QTUM) Overview

The Defiance Quantum ETF (QTUM) is a passive ETF tracking the BlueStar Machine Learning and Quantum Computing Index, targeting companies deriving significant revenue from quantum hardware, chips, superconducting materials, AI chips, and big data software. It holds 86 stocks in a modified equal-weighted approach, with top holdings like INTC (2.96%), MU (2.82%), Global Unichip (2.45%), MediaTek (2.36%), and STMicroelectronics (2.13%). Sector breakdown features technology (83%), industrials (10%), and communication services (6%). Expense ratio stands at 0.40%, AUM $4.7B, launched September 2018. Key traits include global scope, semi-annual rebalancing, and thematic emphasis on disruptive computing paradigms beyond current AI hardware.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) passively replicates the MVIS US Listed Semiconductor 25 Index, focusing on the largest, most liquid U.S.-listed firms in semiconductor production and equipment. It comprises 26 holdings, led by NVDA (~17%), Taiwan Semiconductor (~10%), INTC (~8%), AVGO (~8%), and AMD (~7%). Allocation is 100% technology (semiconductors). The expense ratio is 0.35%, with massive $65B AUM since 2011 inception. Notable for market-cap weighting, quarterly rebalancing, high liquidity, and options availability, it serves as a core benchmark for chip industry exposure.

Industry and Thematic Landscape

The semiconductor and AI sectors underpin CHAT, QTUM, and SMH, fueled by explosive demand for AI accelerators, data centers, and advanced chips. Capital flows have surged into leaders like NVDA and TSM amid generative AI adoption, with macroeconomic drivers including lower interest rates boosting tech capex. Earnings trends show robust growth in AI-related revenues, though cyclical risks persist from supply gluts or trade tensions. Regulatory shifts like U.S. CHIPS Act subsidies enhance domestic production, while geopolitical strains on Taiwan supply chains pose headwinds. Quantum computing remains nascent, offering long-term upside but higher uncertainty versus established semis.

Performance and Positioning Comparison

In recent months, SMH has led with strong gains driven by AI hardware momentum, outpacing QTUM and CHAT amid semis rallies, though its concentration amplifies volatility and drawdowns in chip cycles. CHAT, leveraging active picks in generative AI software and infra, has shown solid trend consistency but higher expense drag. QTUM trails in pure AI surges due to equal-weighting and quantum diversification, yet exhibits lower relative volatility and resilience during tech rotations, thanks to industrials exposure. Performance divergences stem from SMH's cap-weighted mega-caps sensitivity to NVDA flows, CHAT's active bets on AI apps, and QTUM's broader ML/quantum tilt reducing concentration risk.

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 like ETFs including CHAT, QTUM, and SMH. Explore it today to uncover hidden gems in AI and tech themes.

Tickeron AI Verdict

Tickeron’s AI currently favors SMH with moderate probability due to its unmatched cost efficiency (0.35% expense ratio), superior liquidity, massive scale, and structural alignment with AI infrastructure momentum via concentrated semiconductor exposure. While CHAT's active generative AI focus and QTUM's diversified quantum/ML profile offer thematic upside, SMH's risk-adjusted positioning and momentum stability edge it ahead in observable trends.

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. QTUM (6.34B) and CHAT (2.25B). SMH has a higher annual dividend yield than CHAT and QTUM: SMH (85.741) vs CHAT (76.510) and QTUM (54.059). CHAT was incepted earlier than QTUM and SMH: CHAT (3 years) vs QTUM (8 years) and SMH (15 years). SMH (0.35) has a lower expense ratio than QTUM (0.40) and CHAT (0.75). QTUM has a higher turnover CHAT (32.00) and SMH (12.00) vs CHAT (32.00) and SMH (12.00).
CHATQTUMSMH
Gain YTD76.51054.05985.741
Net Assets2.25B6.34B78.4B
Total Expense Ratio0.750.400.35
Turnover32.0042.0012.00
Yield1.720.730.18
Fund Existence3 years8 years15 years
TECHNICAL ANALYSIS
Technical Analysis
CHATQTUMSMH
RSI
ODDS (%)
Bearish Trend 2 days ago
64%
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
83%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
75%
Bearish Trend 2 days ago
75%
Bearish Trend 2 days ago
82%
Momentum
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
82%
Bullish Trend 2 days ago
88%
MACD
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
76%
Bullish Trend 2 days ago
90%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
Declines
ODDS (%)
Bearish Trend 14 days ago
75%
Bearish Trend 14 days ago
79%
Bearish Trend 14 days ago
82%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
66%
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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CHAT
Daily Signal:
Gain/Loss:
QTUM
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
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CHAT and

Correlation & Price change

A.I.dvisor indicates that over the last year, CHAT has been closely correlated with MU. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if CHAT jumps, then MU could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To CHAT
1D Price
Change %
CHAT100%
+1.69%
MU - CHAT
69%
Closely correlated
+6.82%
ARM - CHAT
67%
Closely correlated
-7.22%
NVDA - CHAT
66%
Closely correlated
-0.97%
AMD - CHAT
66%
Closely correlated
+2.65%
AVGO - CHAT
66%
Closely correlated
-4.52%
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QTUM and

Correlation & Price change

A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To QTUM
1D Price
Change %
QTUM100%
+0.38%
LRCX - QTUM
79%
Closely correlated
+5.27%
AMAT - QTUM
74%
Closely correlated
+3.74%
TSM - QTUM
74%
Closely correlated
+1.20%
MKSI - QTUM
74%
Closely correlated
+3.49%
KLAC - QTUM
73%
Closely correlated
+3.70%
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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%
+1.37%
LRCX - SMH
86%
Closely correlated
+5.27%
KLAC - SMH
83%
Closely correlated
+3.70%
AMAT - SMH
83%
Closely correlated
+3.74%
TSM - SMH
81%
Closely correlated
+1.20%
ASML - SMH
80%
Closely correlated
-0.02%
More