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.
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.
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.
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.
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.
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.
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’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.
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| CHAT | QTUM | SMH | |
| Gain YTD | 57.972 | 47.389 | 72.149 |
| Net Assets | 2.01B | 6.02B | 71.9B |
| Total Expense Ratio | 0.75 | 0.40 | 0.35 |
| Turnover | 32.00 | 42.00 | 12.00 |
| Yield | 1.72 | 0.73 | 0.18 |
| Fund Existence | 3 years | 8 years | 14 years |
| CHAT | QTUM | SMH | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 79% | 4 days ago 76% | 4 days ago 85% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 81% | 4 days ago 82% | 4 days ago 88% |
| MACD ODDS (%) | 4 days ago 81% | 4 days ago 89% | 4 days ago 84% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 89% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 89% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 89% | 4 days ago 90% |
| Declines ODDS (%) | 6 days ago 75% | 6 days ago 79% | 6 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 84% | 4 days ago 78% | 4 days ago 81% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IYG | 90.27 | 1.36 | +1.53% |
| iShares US Financial Services ETF | |||
| GABF | 44.53 | 0.44 | +0.99% |
| Gabelli Financial Services Opp ETF | |||
| XDTE | 38.93 | 0.25 | +0.65% |
| Roundhill S&P 500 0DTE Cov Cll Strat ETF | |||
| EVSD | 50.97 | -0.01 | -0.03% |
| Eaton Vance Short Duration Income ETF | |||
| GXIG | 24.93 | -0.01 | -0.03% |
| Global X Investment Grade Corp Bd ETF | |||
A.I.dvisor indicates that over the last year, CHAT has been closely correlated with MU. These tickers have moved in lockstep 68% 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.
| Ticker / NAME | Correlation To CHAT | 1D Price Change % | ||
|---|---|---|---|---|
| CHAT | 100% | +0.77% | ||
| MU - CHAT | 68% Closely correlated | -1.43% | ||
| ARM - CHAT | 66% Closely correlated | +11.27% | ||
| NVDA - CHAT | 66% Loosely correlated | +0.16% | ||
| AMD - CHAT | 66% Loosely correlated | +4.73% | ||
| AVGO - CHAT | 65% Loosely correlated | -0.91% | ||
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A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 78% 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.
| Ticker / NAME | Correlation To QTUM | 1D Price Change % | ||
|---|---|---|---|---|
| QTUM | 100% | +1.22% | ||
| LRCX - QTUM | 78% Closely correlated | +1.18% | ||
| AMAT - QTUM | 73% Closely correlated | +2.64% | ||
| MKSI - QTUM | 73% Closely correlated | +3.00% | ||
| KLAC - QTUM | 73% Closely correlated | +5.55% | ||
| TSM - QTUM | 72% Closely correlated | +0.68% | ||
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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.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +1.72% | ||
| LRCX - SMH | 86% Closely correlated | +1.18% | ||
| AMAT - SMH | 83% Closely correlated | +2.64% | ||
| KLAC - SMH | 83% Closely correlated | +5.55% | ||
| ASML - SMH | 80% Closely correlated | -1.89% | ||
| TSM - SMH | 80% Closely correlated | +0.68% | ||
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