CIBR
Price
$84.65
Change
+$0.99 (+1.18%)
Updated
Jun 26, 03:44 PM (EDT)
Net Assets
12.88B
Intraday BUY SELL Signals
MAGS
Price
$61.80
Change
+$0.73 (+1.20%)
Updated
Jun 26, 04:27 PM (EDT)
Net Assets
3.28B
Intraday BUY SELL Signals
SMH
Price
$609.60
Change
-$27.28 (-4.28%)
Updated
Jun 26, 04:59 PM (EDT)
Net Assets
71.6B
Intraday BUY SELL Signals
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CIBR or MAGS or SMH

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

Key Takeaways

  • CIBR offers targeted exposure to the cybersecurity subsector with around 45 holdings and an expense ratio of 0.58%, providing moderate diversification within a defensive tech niche.
  • MAGS delivers equal-weight access to the Magnificent Seven stocks via active management, featuring a low 0.30% expense ratio but extreme concentration in just seven mega-cap names.
  • SMH tracks the semiconductor industry leaders with 25-26 holdings and a 0.35% expense ratio, balancing growth potential with sector-specific focus.
  • All three ETFs emphasize technology themes but differ in risk: MAGS and SMH exhibit higher volatility due to concentration, while CIBR shows relative stability.
  • Cost efficiency favors MAGS, followed by SMH, with CIBR trailing slightly; diversification is strongest in CIBR, weakest in MAGS.
  • In recent market cycles, SMH has demonstrated superior trend consistency driven by AI hardware demand, though with elevated drawdown risk.

Introduction

Investors navigating the technology sector in today's AI-driven landscape often compare ETFs like CIBR, MAGS, and SMH for their distinct approaches to high-growth themes. CIBR focuses on cybersecurity, a resilient subsector amid rising threats. MAGS concentrates on the Magnificent Seven mega-caps, capturing broad tech innovation. SMH targets semiconductors, the backbone of AI infrastructure. These funds represent varied strategies—passive index-tracking for CIBR and SMH, active equal-weighting for MAGS—within overlapping tech exposure, allowing tiered risk profiles from defensive cybersecurity to high-beta chipmakers. This comparison highlights structural differences amid capital rotation into AI enablers.

First Trust NASDAQ Cybersecurity ETF (CIBR) Overview

The First Trust NASDAQ Cybersecurity ETF (CIBR) is a passive ETF that seeks to replicate the Nasdaq CTA Cybersecurity Index, targeting companies classified as cybersecurity providers by the Consumer Technology Association (CTA). It holds approximately 45 stocks, with top holdings including AVGO (around 9%), PANW (9%), CRWD (9%), FTNT (8%), and CSCO (8%), comprising about 60% of assets. Sector allocation is heavily tilted toward information technology (over 90%), with minor industrials exposure. The expense ratio is 0.58%. The fund is non-diversified, liquidity-weighted, and rebalanced quarterly, emphasizing mid- to large-cap firms with minimum market cap and liquidity thresholds for structural efficiency.

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 tech leaders: Alphabet, Amazon, Apple, Meta, Microsoft, NVDA, and Tesla. It maintains roughly equal allocations (around 14% each pre-rebalance), with top holdings reflecting these stocks plus Treasury collateral and swaps for diversification compliance. Sector breakdown spans technology, communications, and consumer discretionary. The expense ratio stands at 0.30%. Rebalanced quarterly, the non-diversified structure uses total return swaps alongside direct equity to achieve tax-efficient exposure as a regulated investment company (RIC), prioritizing pure thematic concentration over broad indexing.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) passively tracks the MVIS US Listed Semiconductor 25 Index, focusing on the largest and most liquid U.S.-listed semiconductor firms involved in production and equipment. It features 25-26 holdings, led by NVDA (18%), Taiwan Semiconductor (TSM, 10%), AVGO (8%), INTC (8%), and AMD (7%), accounting for over 70% of assets. Allocation is 100% semiconductors within technology. The expense ratio is 0.35%. Market-cap weighted with liquidity screens, it rebalances periodically, offering concentrated exposure to global players via U.S. listings in a non-diversified format.

Industry and Thematic Landscape

The technology sector, encompassing cybersecurity, semiconductors, and mega-cap innovators, faces a dynamic environment shaped by AI proliferation, geopolitical tensions, and regulatory scrutiny. Capital flows have surged into AI infrastructure, boosting semiconductors amid demand for chips, while cybersecurity benefits from escalating threats like AI-powered attacks and data breaches. Macro drivers include U.S.-China trade frictions impacting supply chains, inflation pressuring capex (capital expenditures), and strong earnings from AI adopters. Regulatory shifts emphasize data privacy and export controls, with geopolitical risks elevating cybersecurity needs. Sector risks involve cyclical downturns in semis, concentration in Magnificent Seven amid rotation to broader tech, and persistent cyber inequities widening capability gaps.

Performance and Positioning Comparison

In recent months, SMH has led with strong upward trends fueled by AI chip demand, though exhibiting higher volatility (around 30% annualized) and deeper drawdowns in cycles compared to peers. MAGS shows momentum stability from mega-cap resilience but lags in relative gains due to equal-weighting diluting top performers like NVDA. CIBR demonstrates lower volatility (20-25%) and consistent trends as a defensive play, with shallower drawdowns. Differences stem from structures: SMH's cap-weight concentration amplifies beta to tech rallies; MAGS balances leaders but heightens single-stock risk; CIBR's subsector focus reduces macro sensitivity, favoring risk-adjusted positioning over raw growth.

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. Explore it today to uncover hidden gems in sectors like technology.

Tickeron AI Verdict

Tickeron’s AI favors SMH with moderate conviction (65% probability) due to its optimal blend of cost efficiency (0.35% expense ratio), semiconductor exposure aligned with AI infrastructure momentum, and risk-adjusted positioning via 25+ holdings. While MAGS offers lower fees, its ultra-concentration elevates volatility; CIBR provides diversification but higher costs and subdued growth. SMH's structure balances stability and upside in current cycles.

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: 71.6B vs. CIBR (12.9B) and MAGS (3.28B). SMH has a higher annual dividend yield than CIBR and MAGS: SMH (76.847) vs CIBR (17.393) and MAGS (-7.414). CIBR was incepted earlier than MAGS and SMH: CIBR (11 years) vs MAGS (3 years) and SMH (15 years). MAGS (0.30) has a lower expense ratio than SMH (0.35) and CIBR (0.58). MAGS has a higher turnover CIBR (21.00) and SMH (12.00) vs CIBR (21.00) and SMH (12.00).
CIBRMAGSSMH
Gain YTD17.393-7.41476.847
Net Assets12.9B3.28B71.6B
Total Expense Ratio0.580.300.35
Turnover21.0027.0012.00
Yield0.461.380.18
Fund Existence11 years3 years15 years
TECHNICAL ANALYSIS
Technical Analysis
CIBRMAGSSMH
RSI
ODDS (%)
Bearish Trend 2 days ago
77%
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
85%
Momentum
ODDS (%)
Bullish Trend 2 days ago
89%
Bearish Trend 2 days ago
78%
Bullish Trend 2 days ago
90%
MACD
ODDS (%)
Bearish Trend 2 days ago
84%
Bearish Trend 5 days ago
86%
Bearish Trend 2 days ago
86%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
78%
Bullish Trend 2 days ago
90%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
86%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 25 days ago
87%
Bullish Trend 30 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
76%
Bearish Trend 3 days ago
82%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
85%
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
81%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
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CIBR
Daily Signal:
Gain/Loss:
MAGS
Daily Signal:
Gain/Loss:
SMH
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%
-0.08%
CRWD - CIBR
86%
Closely correlated
+0.84%
PANW - CIBR
79%
Closely correlated
+2.74%
OKTA - CIBR
78%
Closely correlated
+0.57%
TENB - CIBR
72%
Closely correlated
-1.65%
RBRK - CIBR
68%
Closely correlated
-4.70%
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%
-2.57%
AMZN - MAGS
70%
Closely correlated
-3.10%
TSLA - MAGS
69%
Closely correlated
-0.11%
NVDA - MAGS
68%
Closely correlated
-1.64%
META - MAGS
66%
Closely correlated
-2.65%
GOOGL - MAGS
61%
Loosely correlated
-0.46%
More