CIBR
Price
$83.58
Change
-$0.96 (-1.14%)
Updated
Jun 22 closing price
Net Assets
13.59B
Intraday BUY SELL Signals
MAGS
Price
$64.02
Change
-$1.42 (-2.17%)
Updated
Jun 22 closing price
Net Assets
3.54B
Intraday BUY SELL Signals
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CIBR vs MAGS

CIBR vs MAGS Comparison Chart in %
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Which ETF would AI Choose? First Trust NASDAQ Cybersecurity ETF (CIBR) vs. Roundhill Magnificent Seven ETF (MAGS)

Key Takeaways

  • CIBR provides diversified exposure to ~45 cybersecurity firms across technology (95%) and industrials (3%), tracking the Nasdaq CTA Cybersecurity Index with a 0.58% expense ratio.
  • MAGS concentrates equally weighted exposure in seven mega-cap tech leaders (Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, Tesla), actively managed at a lower 0.30% expense ratio.
  • CIBR offers broader risk distribution but higher concentration risk in top holdings like Broadcom (AVGO) and Palo Alto Networks (PANW), while MAGS amplifies mega-cap volatility.
  • MAGS has driven superior returns in AI-fueled market cycles due to its holdings' dominance, though both ETFs exhibit heightened volatility amid tech sector rotations.
  • CIBR benefits from structural cybersecurity spending growth; MAGS from AI infrastructure momentum, but faces regulatory and valuation risks.
  • Lower costs and liquidity favor MAGS for short-term momentum plays, while CIBR suits thematic diversification.

Introduction

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.

First Trust NASDAQ Cybersecurity ETF (CIBR) Overview

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.

Roundhill Magnificent Seven ETF (MAGS) Overview

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.

Industry and Thematic Backdrop

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.

Performance and Positioning Comparison

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.

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 sectors like cybersecurity and AI megacaps. Explore it today to uncover hidden edges in ETF comparisons.

Tickeron AI Verdict

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.

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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CIBR vs. MAGS commentary
Jun 23, 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 CIBR is a Hold and MAGS is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
CIBR has more net assets: 13.6B vs. MAGS (3.54B). CIBR has a higher annual dividend yield than MAGS: CIBR (17.180) vs MAGS (-2.941). CIBR was incepted earlier than MAGS: CIBR (11 years) vs MAGS (3 years). MAGS (0.30) has a lower expense ratio than CIBR (0.58). MAGS has a higher turnover CIBR (21.00) vs CIBR (21.00).
CIBRMAGSCIBR / MAGS
Gain YTD17.180-2.941-584%
Net Assets13.6B3.54B384%
Total Expense Ratio0.580.30193%
Turnover21.0027.0078%
Yield0.461.3833%
Fund Existence11 years3 years-
TECHNICAL ANALYSIS
Technical Analysis
CIBRMAGS
RSI
ODDS (%)
Bearish Trend 1 day ago
89%
Bullish Trend 1 day ago
87%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Momentum
ODDS (%)
Bearish Trend 1 day ago
85%
Bearish Trend 1 day ago
78%
MACD
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
86%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
83%
Bearish Trend 1 day ago
78%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
87%
Bearish Trend 1 day ago
86%
Advances
ODDS (%)
Bullish Trend 22 days ago
87%
Bullish Trend 27 days ago
90%
Declines
ODDS (%)
Bearish Trend 7 days ago
82%
Bearish Trend 7 days ago
75%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
85%
Bullish Trend 1 day ago
90%
Aroon
ODDS (%)
Bullish Trend 1 day ago
90%
Bearish Trend 1 day ago
86%
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CIBR
Daily Signal:
Gain/Loss:
MAGS
Daily Signal:
Gain/Loss:
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CIBR and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To CIBR
1D Price
Change %
CIBR100%
-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%
More

MAGS and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To MAGS
1D Price
Change %
MAGS100%
-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%
More