Global X Cybersecurity ETF (BUG) and First Trust NASDAQ Cybersecurity ETF (CIBR) represent two prominent vehicles for investors seeking dedicated exposure to the cybersecurity industry. These exchange-traded funds (ETFs) do not compete directly with broad-market or multi-sector technology funds but instead offer alternative implementations of the same core theme: companies whose revenues derive primarily from cybersecurity products and services. By comparing their index methodologies, portfolio construction, and cost structures, investors can better align selection with preferences for concentration, diversification, and expense efficiency within this specialized sector.
The Global X Cybersecurity ETF (BUG) is a passively managed thematic ETF that seeks to track the performance of the Indxx Cybersecurity Index. The fund holds approximately 31–32 securities, with assets concentrated in companies involved in the development and management of security protocols. Its expense ratio stands at 0.50%. Top holdings typically include CRWD, PANW, FTNT, OKTA, and VRNS, which together account for a substantial portion of assets. Sector allocation is overwhelmingly weighted toward Information Technology, reflecting the pure-play nature of the underlying index. The ETF employs a modified market-capitalization weighting methodology and rebalances periodically to maintain alignment with index constituents, resulting in a concentrated portfolio suited for investors comfortable with higher single-name risk.
The First Trust NASDAQ Cybersecurity ETF (CIBR) is a passively managed fund designed to replicate the Nasdaq CTA Cybersecurity Index. It holds approximately 42–44 securities and carries an expense ratio of 0.58%. Prominent holdings often feature PANW, FTNT, CRWD, AVGO, and CSCO, providing exposure across a slightly wider set of cybersecurity and related infrastructure firms. Like BUG, CIBR maintains dominant allocation to the Information Technology sector. The index methodology incorporates a rules-based selection process focused on companies classified as cybersecurity providers, with quarterly rebalancing to reflect evolving market conditions. Its larger scale supports enhanced liquidity characteristics relative to smaller peers in the category.
The cybersecurity sector continues to benefit from persistent macro drivers, including escalating ransomware incidents, expanding regulatory requirements around data privacy, and accelerating digital transformation across enterprises and governments. Capital allocation toward defensive technologies remains robust amid geopolitical tensions and supply-chain digitization. Both BUG and CIBR capture companies positioned at the intersection of software, hardware, and services that address intrusion prevention, endpoint protection, and network security. Risks in the space include potential margin compression from competitive intensity, rapid technological obsolescence, and sensitivity to broader information technology spending cycles. Regulatory developments, such as enhanced disclosure rules for cyber incidents, may further support demand for compliance-related solutions while introducing operational complexities for portfolio companies.
In recent market cycles, both ETFs have exhibited correlated movements driven by shared exposure to leading cybersecurity vendors and sensitivity to enterprise information technology budgets. CIBR’s broader holdings base has historically contributed to marginally lower volatility during periods of sector rotation, while BUG’s lower expense ratio can compound advantages over extended holding periods. Relative positioning reflects differences in index construction: BUG’s more concentrated approach amplifies returns from top performers but heightens drawdown risk, whereas CIBR’s additional holdings provide incremental diversification within the same thematic universe. Macro factors such as interest-rate expectations and capital expenditure trends among large enterprises influence both funds similarly, with earnings cycles of names like CRWD and PANW serving as key performance catalysts.
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. Explore the AI Screener to uncover additional opportunities aligned with your investment criteria.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to CIBR. Its larger number of holdings supports improved diversification within the cybersecurity theme, while substantial assets under management enhance liquidity and trading efficiency. Although BUG offers a lower expense ratio, the incremental cost differential appears outweighed by CIBR’s broader risk distribution and established scale in the current market environment characterized by sector-specific volatility.
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.
| BUG | CIBR | BUG / CIBR | |
| Gain YTD | 29.251 | 28.928 | 101% |
| Net Assets | 1.27B | 14B | 9% |
| Total Expense Ratio | 0.50 | 0.58 | 86% |
| Turnover | 35.93 | 21.00 | 171% |
| Yield | 0.03 | 0.44 | 7% |
| Fund Existence | 7 years | 11 years | - |
| BUG | CIBR | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 74% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 86% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 87% |
| Advances ODDS (%) | 29 days ago 87% | N/A |
| Declines ODDS (%) | N/A | 30 days ago 82% |
| BollingerBands ODDS (%) | 1 day ago 88% | 1 day ago 80% |
| Aroon ODDS (%) | N/A | 1 day ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FHLC | 78.40 | 0.90 | +1.16% |
| Fidelity MSCI Health Care ETF | |||
| CDL | 79.03 | N/A | N/A |
| VictoryShares US LgCp Hi Div Vol Wtd ETF | |||
| KJD | 17.03 | N/A | N/A |
| KraneShares 2x Long JD Daily ETF | |||
| FGSM | 34.36 | -0.34 | -0.97% |
| Frontier Asset Global Small-Cap Equity ETF | |||
| XDSQ | 42.59 | -0.60 | -1.39% |
| Innovator US Eq Acltd ETF™ Quarterly | |||
A.I.dvisor indicates that over the last year, BUG has been closely correlated with CRWD. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if BUG jumps, then CRWD could also see price increases.
| Ticker / NAME | Correlation To BUG | 1D Price Change % | ||
|---|---|---|---|---|
| BUG | 100% | N/A | ||
| CRWD - BUG | 84% Closely correlated | -2.65% | ||
| OKTA - BUG | 84% Closely correlated | -0.43% | ||
| TENB - BUG | 80% Closely correlated | -3.69% | ||
| PANW - BUG | 79% Closely correlated | -2.88% | ||
| ZS - BUG | 73% Closely correlated | -1.80% | ||
More | ||||
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% | N/A | ||
| CRWD - CIBR | 86% Closely correlated | -2.65% | ||
| OKTA - CIBR | 80% Closely correlated | -0.43% | ||
| PANW - CIBR | 79% Closely correlated | -2.88% | ||
| TENB - CIBR | 72% Closely correlated | -3.69% | ||
| RDWR - CIBR | 68% Closely correlated | -1.80% | ||
More | ||||