The investment seeks investment results that correspond generally to the price and yield (before the fund's fees and expenses) of an equity index called the Nasdaq CTA Cybersecurity Index TM (the "index")... Show more
The First Trust NASDAQ Cybersecurity ETF tracks the Nasdaq CTA Cybersecurity Index, which focuses on companies classified as cybersecurity providers. The fund employs a passive, rules-based strategy to replicate index performance through holdings in common stocks and depositary receipts, with at least 90% of assets allocated accordingly. Top holdings typically include firms such as Palo Alto Networks, Fortinet, CrowdStrike, Cisco Systems, and Broadcom, with the largest positions often accounting for over 50% of assets combined.
Sector allocation is heavily weighted toward information technology, particularly software and computer services, with smaller exposures to telecommunications equipment and industrials. Geographic exposure remains predominantly U.S.-centric, supplemented by modest international holdings. This structure positions the ETF for performance tied to cybersecurity demand drivers, including cloud security needs and identity management solutions, while exposing it to equity market cycles within the technology sector.
Interest rate trajectories from central banks could affect technology valuations and capital spending on cybersecurity solutions, as lower rates historically support growth-oriented sectors. Inflation trends may influence enterprise budgets, with persistent price pressures potentially slowing discretionary security investments.
Economic growth expectations remain relevant, as robust corporate earnings often translate into expanded cybersecurity allocations. Sector-specific developments, such as advances in artificial intelligence for threat detection, represent key upside catalysts. Policy and regulatory changes, including enhanced data privacy mandates, could accelerate compliance-related spending among index constituents.
Earnings outlooks for major holdings like those in endpoint protection and network security provide near-term visibility, while ETF inflow trends signal sustained investor appetite that may support liquidity and valuation stability.
The cybersecurity sector operates within a favorable environment shaped by rising digital transformation and evolving threat landscapes. Interest rate environments influence borrowing costs for technology investments, while inflation can pressure margins if input costs rise faster than pricing power.
Economic growth supports broader IT budgets, though slowdowns may lead to prioritization of essential security measures. Equity market trends in technology often correlate with the index performance, given its growth-oriented constituents. Global markets and currency movements add layers of complexity, particularly for internationally exposed holdings, though the ETF's U.S. focus mitigates much of this volatility. Commodity cycles have limited direct impact, but supply chain disruptions could indirectly affect hardware-related cybersecurity components.
The Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Investors seeking data-driven insights into potential near-term movements in assets like the First Trust NASDAQ Cybersecurity ETF may find value in exploring its capabilities.
Long-term sector growth is underpinned by accelerating digitization, widespread cloud adoption, and the integration of artificial intelligence across business operations. Demographic shifts toward remote work and connected devices expand the attack surface, sustaining demand for advanced security solutions. Economic cycles may introduce periods of moderated spending, yet structural needs for data protection and regulatory compliance provide resilience.
Market structure changes, including platform consolidation and evolving standards for AI governance, could reshape competitive dynamics among index constituents. Interest rate cycles influence valuation multiples for growth equities, while global investment trends favor thematic exposure to cybersecurity amid heightened geopolitical risks. The underlying index benefits from these enduring themes, supporting a constructive outlook for the asset class over multi-year horizons.
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.
Category Technology
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A.I.dvisor indicates that over the last year, CIBR has been closely correlated with HACK. These tickers have moved in lockstep 98% of the time. This A.I.-generated data suggests there is a high statistical probability that if CIBR jumps, then HACK could also see price increases.
| Ticker / NAME | Correlation To CIBR | 1D Price Change % | ||
|---|---|---|---|---|
| CIBR | 100% | -1.71% | ||
| HACK - CIBR | 98% Closely correlated | -1.84% | ||
| IHAK - CIBR | 93% Closely correlated | -1.47% | ||
| BUG - CIBR | 92% Closely correlated | -1.65% | ||
| IGV - CIBR | 92% Closely correlated | -0.89% | ||
| FITE - CIBR | 91% Closely correlated | -2.25% | ||
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The 10-day RSI Oscillator for CIBR moved out of overbought territory on August 14, 2026. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 38 instances where the indicator moved out of the overbought zone. In of the 38 cases the stock moved lower in the days that followed. This puts the odds of a move down at .
The Momentum Indicator moved below the 0 level on August 18, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on CIBR as a result. In of 77 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for CIBR turned negative on August 19, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 46 similar instances when the indicator turned negative. In of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where CIBR declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
CIBR broke above its upper Bollinger Band on August 04, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where CIBR advanced for three days, in of 368 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 293 cases where CIBR Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .