In today's tech-driven landscape, investors seek targeted exposure to high-growth themes like cybersecurity and artificial intelligence (AI). The CIBR and MAGS ETFs represent distinct strategies within technology. CIBR focuses on cybersecurity specialists, capitalizing on rising cyber threats amid AI proliferation. MAGS targets the "Magnificent Seven" mega-caps powering AI innovation. While not direct competitors, both offer alternative paths to tech sector growth, with CIBR emphasizing defensive niche resilience and MAGS leveraging concentrated leadership in cloud, chips, and platforms. Recent capital flows highlight rotation between broad AI bets and specialized cybersecurity amid regulatory scrutiny and geopolitical tensions.
The First Trust NASDAQ Cybersecurity ETF (CIBR) is a passive ETF tracking the Nasdaq CTA Cybersecurity Index, a liquidity-weighted benchmark of companies classified as cybersecurity providers by the Consumer Technology Association (CTA). It holds approximately 45 stocks, with top holdings including Broadcom (AVGO) (~9%), Palo Alto Networks (PANW) (~9%), CrowdStrike (CRWD) (~9%), Cisco (CSCO) (~8%), and Fortinet (FTNT) (~7%), comprising ~60% of assets. Sector allocation skews heavily to technology (95%), with minor industrials (3%) exposure via defense-adjacent firms. The expense ratio is 0.58%, and the fund rebalances periodically to maintain liquidity screens and position caps (e.g., 6% max for top five). Launched in 2015, CIBR emphasizes diversified cybersecurity exposure, blending software, networking, and hardware, with strong liquidity from high average daily volume.
The Roundhill Magnificent Seven ETF (MAGS) is an actively managed fund providing equal-weight exposure to seven mega-cap innovators: Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta (META), Microsoft (MSFT), Nvidia (NVDA), and Tesla (TSLA). With effectively 7 core holdings (plus cash equivalents and swaps for tax efficiency), it rebalances quarterly to maintain equal weighting (~14% each). The expense ratio is a competitive 0.29%-0.30%, lower than CIBR. Sector focus is technology, spanning AI semiconductors, cloud computing, e-commerce, and social media. Launched in 2023, MAGS uses derivatives like total return swaps to comply with RIC (regulated investment company) diversification rules while delivering concentrated upside, appealing to investors chasing mega-cap momentum.
Cybersecurity and AI megacaps operate amid surging digital threats and infrastructure buildouts. Global cybersecurity spending is projected to reach $345 billion by 2026, fueled by AI-driven attacks, ransomware evolution, and regulations like rapid incident reporting. Geopolitical tensions and supply chain risks amplify demand for firms in CIBR. Meanwhile, Magnificent Seven leaders dominate AI CapEx (capital expenditures), powering data centers and semiconductors, though scrutiny over ROI (return on investment), antitrust probes, and U.S.-China export controls pose headwinds. Capital flows shift toward diversified themes as mega-caps face valuation pressure, with ETFs like CIBR gaining traction in risk-off rotations while MAGS benefits from AI hype cycles.
In recent market cycles, MAGS has outperformed amid AI enthusiasm, delivering ~48% over the past year versus CIBR's more modest gains, reflecting mega-cap dominance in cloud and chips. However, year-to-date 2026, both have faced headwinds from tech rotation: MAGS up modestly ~5-6% amid uneven Mag7 recovery post-VIX spikes, while CIBR trails slightly due to valuation compression in growth names despite resilient spending trends. CIBR exhibits lower beta (~0.7-1.1) and better downside capture in rotations away from AI hyperscalers, tied to cybersecurity's defensive profile. MAGS amplifies volatility from holdings like NVDA earnings cycles and interest rate sensitivity. Relative positioning favors CIBR in regulatory/geopolitical stress, MAGS in momentum-driven rallies.
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 sectors like cybersecurity and AI megacaps. Explore it today to uncover hidden edges in ETF comparisons.
Tickeron’s AI currently favors MAGS with moderate probability (~60%) due to its cost efficiency, strong trend consistency in AI momentum phases, and superior diversification within mega-cap leadership despite concentration risks. CIBR's structural cybersecurity tailwinds offer resilience, but MAGS edges on relative positioning amid ongoing tech capital flows. Factors like lower expense ratio and quarterly rebalancing enhance MAGS' appeal for growth-oriented portfolios, though investors should monitor sector rotations.
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| CIBR | MAGS | CIBR / MAGS | |
| Gain YTD | 17.180 | -2.941 | -584% |
| Net Assets | 13.6B | 3.54B | 384% |
| Total Expense Ratio | 0.58 | 0.30 | 193% |
| Turnover | 21.00 | 27.00 | 78% |
| Yield | 0.46 | 1.38 | 33% |
| Fund Existence | 11 years | 3 years | - |
| CIBR | MAGS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 89% | 1 day ago 87% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 85% | 1 day ago 78% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 86% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 78% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 86% |
| Advances ODDS (%) | 22 days ago 87% | 27 days ago 90% |
| Declines ODDS (%) | 7 days ago 82% | 7 days ago 75% |
| BollingerBands ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FELV | 40.27 | 0.23 | +0.57% |
| Fidelity Enhanced Large Cap Value ETF | |||
| CFO | 79.00 | 0.12 | +0.15% |
| VictoryShares US 500 Enh Vol Wtd ETF | |||
| MXE | 13.55 | N/A | N/A |
| Mexico Equity and Income Fund (The) | |||
| PMFB | 27.27 | N/A | N/A |
| PGIM S&P 500 Max Buffer ETF - February | |||
| METU | 20.53 | -0.99 | -4.60% |
| Direxion Daily META Bull 2X ETF | |||
A.I.dvisor indicates that over the last year, CIBR has been closely correlated with CRWD. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if CIBR jumps, then CRWD could also see price increases.
| Ticker / NAME | Correlation To CIBR | 1D Price Change % | ||
|---|---|---|---|---|
| CIBR | 100% | -1.14% | ||
| CRWD - CIBR | 86% Closely correlated | -1.38% | ||
| PANW - CIBR | 79% Closely correlated | -0.48% | ||
| OKTA - CIBR | 78% Closely correlated | -1.59% | ||
| TENB - CIBR | 72% Closely correlated | -1.94% | ||
| RDWR - CIBR | 69% Closely correlated | +2.03% | ||
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A.I.dvisor indicates that over the last year, MAGS has been closely correlated with AMZN. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if MAGS jumps, then AMZN could also see price increases.
| Ticker / NAME | Correlation To MAGS | 1D Price Change % | ||
|---|---|---|---|---|
| MAGS | 100% | -2.17% | ||
| AMZN - MAGS | 70% Closely correlated | -4.75% | ||
| TSLA - MAGS | 69% Closely correlated | +1.14% | ||
| NVDA - MAGS | 67% Closely correlated | -0.97% | ||
| META - MAGS | 66% Closely correlated | -2.32% | ||
| GOOGL - MAGS | 61% Loosely correlated | -4.99% | ||
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