Investors seeking targeted technology exposure often compare specialized exchange-traded funds (ETFs) that address overlapping yet differentiated themes within the broader digital economy. First Trust NASDAQ Cybersecurity ETF (CIBR) and Defiance Quantum ETF (QTUM) do not compete directly as substitutes; instead, they represent alternative strategies within the technology sector. CIBR emphasizes cybersecurity solutions critical to data protection and network integrity, while QTUM targets companies advancing quantum computing and machine learning capabilities. Both provide investors with efficient vehicles to access innovation-driven growth without individual stock selection, making them relevant for portfolios balancing sector exposure with thematic conviction in an environment of accelerating digital transformation.
First Trust NASDAQ Cybersecurity ETF (CIBR) is a passively managed ETF that seeks to replicate the performance of the Nasdaq CTA Cybersecurity Index. The index selects companies classified as cybersecurity providers by the Consumer Technology Association, focusing on firms involved in building, implementing, and managing security protocols for networks, computers, and devices. The fund typically holds around 44 securities and employs a liquidity-weighted methodology with caps on individual holdings to manage concentration. Top holdings commonly include Fortinet (FTNT), Palo Alto Networks (PANW), Cisco Systems (CSCO), CrowdStrike Holdings (CRWD), and Broadcom (AVGO), with significant allocations to information technology software and equipment. The expense ratio stands at 0.58%. CIBR maintains a thematic focus with some spillover into industrials such as aerospace and defense, distinguishing it through its emphasis on established cybersecurity leaders rather than pure-play or emerging technologies.
Defiance Quantum ETF (QTUM) is a passively managed ETF designed to track the BlueStar Quantum Computing and Machine Learning Index. The index consists of a modified equal-weighted portfolio of companies deriving at least 50% of revenue or activity from quantum computing or machine learning development. QTUM holds approximately 80-87 securities, offering broader diversification across global markets with notable representation from semiconductors, software, and specialized hardware firms. Representative top holdings include companies such as Arqit Quantum, Horizon Quantum Holdings, Teradyne (TER), Micron Technology (MU), and Intel (INTC). The expense ratio is 0.40%. The fund’s structure emphasizes next-generation computing themes, with sector allocations concentrated in information technology alongside smaller positions in industrials and communication services, providing exposure to both pure quantum plays and established technology enablers.
The technology sector continues to experience robust capital allocation driven by persistent demand for digital infrastructure resilience and computational advancement. Cybersecurity remains a priority amid escalating threats to enterprise and government networks, supporting steady interest in specialized providers. Concurrently, quantum computing and machine learning represent frontier areas with potential applications in optimization, simulation, and artificial intelligence acceleration. Macroeconomic factors including interest rate trajectories and capital expenditure cycles influence both themes, while regulatory developments around data privacy and emerging technology standards add layers of complexity. Sector risks encompass rapid technological obsolescence, competitive intensity, and sensitivity to broader equity market sentiment during periods of economic uncertainty.
In recent market cycles, both ETFs have demonstrated sensitivity to technology sector rotations and earnings momentum among leading holdings. First Trust NASDAQ Cybersecurity ETF (CIBR) has tended to exhibit steadier behavior tied to recurring cybersecurity spending patterns, with relative resilience during periods of heightened digital threat awareness. Defiance Quantum ETF (QTUM), with its modified equal-weighted construction and exposure to semiconductors and quantum-related innovators, has shown greater responsiveness to advancements in artificial intelligence infrastructure and computing breakthroughs. Volatility differences arise from QTUM’s broader holdings base versus CIBR’s more concentrated cybersecurity focus, potentially leading to distinct responses to interest rate expectations and geopolitical developments affecting supply chains. Relative positioning favors each ETF depending on whether investors prioritize defensive technology themes or high-conviction growth in emerging computational paradigms.
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, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights into thematic ETFs like First Trust NASDAQ Cybersecurity ETF (CIBR) and Defiance Quantum ETF (QTUM) may find the platform useful for refining their research process.
Based on observable structural characteristics, Defiance Quantum ETF (QTUM) currently presents a modestly stronger profile for Tickeron’s AI analysis due to its lower expense ratio, broader diversification across high-momentum quantum and machine learning exposures, and modified equal-weighted methodology that may better capture emerging trends. First Trust NASDAQ Cybersecurity ETF (CIBR) offers compelling targeted exposure but carries a higher cost structure and greater concentration risk. This assessment reflects probabilistic evaluation of cost efficiency, thematic breadth, and positioning within evolving technology cycles rather than definitive outperformance expectations.
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.
| CIBR | QTUM | CIBR / QTUM | |
| Gain YTD | 31.916 | 36.293 | 88% |
| Net Assets | 15.3B | 5.55B | 276% |
| Total Expense Ratio | 0.58 | 0.40 | 145% |
| Turnover | 21.00 | 42.00 | 50% |
| Yield | 0.39 | 0.79 | 49% |
| Fund Existence | 11 years | 8 years | - |
| CIBR | QTUM | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 81% | N/A |
| Stochastic ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 80% |
| Advances ODDS (%) | 14 days ago 86% | 2 days ago 88% |
| Declines ODDS (%) | 2 days ago 82% | 9 days ago 79% |
| BollingerBands ODDS (%) | 7 days ago 90% | 7 days ago 88% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 74% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MLPX | 76.53 | 0.92 | +1.22% |
| Global X MLP & Energy Infrastructure ETF | |||
| MUSE | 49.38 | N/A | N/A |
| TCW Multisector Credit Income ETF | |||
| YBMN | 12.57 | N/A | N/A |
| Defiance Bmnr Option Income ETF | |||
| FITE | 107.83 | -0.18 | -0.17% |
| Stt Strt® SPDR® S&PKenshoFutSecETF | |||
| BASG | 28.08 | -0.32 | -1.14% |
| Brown Advisory Sustainable Growth ETF | |||
A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 82% 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% | +0.69% | ||
| LRCX - QTUM | 82% Closely correlated | +4.15% | ||
| MKSI - QTUM | 78% Closely correlated | +1.99% | ||
| LSCC - QTUM | 78% Closely correlated | +1.37% | ||
| AMAT - QTUM | 78% Closely correlated | +3.98% | ||
| KLAC - QTUM | 76% Closely correlated | +1.82% | ||
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