Investors seeking targeted technology exposure often evaluate thematic exchange-traded funds (ETFs) that capture specific innovation trends. First Trust NASDAQ Cybersecurity ETF (CIBR) and Defiance Quantum ETF (QTUM) address adjacent yet distinct segments within the broader technology sector. They do not compete directly but serve as complementary or alternative vehicles for investors pursuing growth in cybersecurity and quantum/machine learning ecosystems. This comparison highlights structural differences, exposure profiles, and positioning to aid informed allocation decisions in the current market environment.
First Trust NASDAQ Cybersecurity ETF (CIBR) tracks the Nasdaq CTA Cybersecurity Index, a rules-based benchmark of companies engaged in cybersecurity activities. The fund holds approximately 46 securities and employs a modified liquidity-weighted methodology. Top holdings typically include CrowdStrike Holdings Inc. (CRWD), Fortinet Inc. (FTNT), Palo Alto Networks Inc. (PANW), Cisco Systems Inc. (CSCO), and Broadcom Inc. (AVGO), with the largest positions frequently representing 7-9% of assets. Sector allocation is dominated by technology at roughly 95%, with minor exposure to industrials and communication services. The expense ratio stands at 0.58%. CIBR operates as a passive, non-diversified ETF with full transparency and quarterly rebalancing aligned to the index methodology. Geographic exposure remains heavily U.S.-centric, exceeding 85%.
Defiance Quantum ETF (QTUM) tracks the BlueStar Quantum Computing and Machine Learning Index, focusing on companies involved in quantum computing, machine learning, and related technologies. The fund maintains approximately 86 holdings under a modified equal-weighted structure. Top holdings feature smaller individual weights, such as Global Unichip Corp., Elastic N.V. (ESTC), Cloudflare Inc. (NET), and Palantir Technologies Inc. (PLTR), each generally below 2.5%. Technology comprises about 80% of the portfolio, supplemented by industrials and communication services. The expense ratio is 0.40%. QTUM is a passive ETF with annual rebalancing and full holdings transparency. It incorporates broader global diversification, with notable allocations to Japan, Taiwan, and Europe alongside U.S. holdings.
The technology sector continues to benefit from sustained capital investment in digital infrastructure, artificial intelligence (AI) capabilities, and data security amid rising cyber threats and computational demands. Cybersecurity spending remains elevated due to regulatory requirements and enterprise digital transformation. Quantum computing and machine learning themes attract interest from governments and corporations seeking next-generation processing power and advanced analytics. Macro drivers include interest rate expectations, semiconductor supply dynamics, and geopolitical tensions influencing technology supply chains. Risks encompass valuation compression in high-growth names, regulatory scrutiny on data privacy, and potential slowdowns in capital expenditure cycles. Both themes operate within the same broader technology ecosystem but respond differently to sector rotation and innovation spending patterns.
In recent market cycles, First Trust NASDAQ Cybersecurity ETF (CIBR) has demonstrated sensitivity to cybersecurity-specific catalysts such as major breach incidents and enterprise spending reports, often exhibiting higher volatility tied to its concentrated holdings. Defiance Quantum ETF (QTUM) has shown responsiveness to broader AI and quantum research milestones, with its diversified structure potentially moderating drawdowns during sector rotations. Relative positioning favors CIBR for investors prioritizing pure-play cybersecurity exposure, while QTUM offers participation in emerging quantum and machine learning applications with lower costs and wider geographic reach. Performance differentials in recent weeks and months have reflected varying momentum in cybersecurity earnings versus quantum-related technology adoption rates.
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 Defiance Quantum ETF (QTUM). The lower expense ratio, higher number of holdings supporting diversification, and broader thematic coverage across quantum and machine learning contribute to this assessment, balanced against First Trust NASDAQ Cybersecurity ETF (CIBR)’s established liquidity and focused cybersecurity momentum.
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The RSI Oscillator for CIBR moved out of oversold territory on November 09, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 20 similar instances when the indicator left oversold territory. In 19 of the 20 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 55 of 62 cases where CIBR's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.
Following a +1.93% 3-day Advance, the price is estimated to grow further. Considering data from situations where CIBR advanced for three days, in 307 of 356 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.
CIBR may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on November 02, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on CIBR as a result. In 69 of 79 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.
The Moving Average Convergence Divergence Histogram (MACD) for CIBR turned negative on October 30, 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 40 of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at 87%.
CIBR moved below its 50-day moving average on October 30, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for CIBR crossed bearishly below the 50-day moving average on November 06, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 73%.
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 50 of 62 cases within the following month. The odds of a continued downward trend are 81%.
The Aroon Indicator for CIBR entered a downward trend on November 13, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
QTUM moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend. In 29 of 32 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 90%.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on QTUM as a result. In 66 of 76 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.
The 10-day moving average for QTUM crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 73%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where QTUM declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 80%.
The Aroon Indicator for QTUM entered a downward trend on November 13, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where QTUM's RSI Oscillator exited the oversold zone, 20 of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 41 of 45 cases where QTUM's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for QTUM just turned positive on November 12, 2026. Looking at past instances where QTUM's MACD turned positive, the stock continued to rise in 41 of 46 cases over the following month. The odds of a continued upward trend are 89%.
Following a +9.57% 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in 301 of 342 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.
QTUM may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| CIBR | QTUM | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 87% | 1 day ago 87% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 89% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 82% |
| Advances ODDS (%) | 3 days ago 86% | 6 days ago 88% |
| Declines ODDS (%) | 13 days ago 81% | 1 day ago 80% |
| BollingerBands ODDS (%) | 1 day ago 82% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 85% |
A.I.dvisor indicates that over the last year, CIBR has been closely correlated with CRWD. These tickers have moved in lockstep 90% 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% | -1.47% | ||
| CRWD - CIBR | 90% Closely correlated | -1.42% | ||
| PANW - CIBR | 85% Closely correlated | -0.13% | ||
| OKTA - CIBR | 84% Closely correlated | +0.18% | ||
| FTNT - CIBR | 75% Closely correlated | -1.79% | ||
| TENB - CIBR | 74% Closely correlated | -0.71% | ||
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A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QTUM | 1D Price Change % | ||
|---|---|---|---|---|
| QTUM | 100% | -1.80% | ||
| LRCX - QTUM | 84% Closely correlated | -3.36% | ||
| MKSI - QTUM | 81% Closely correlated | -2.64% | ||
| AMAT - QTUM | 80% Closely correlated | -2.74% | ||
| AMD - QTUM | 79% Closely correlated | -8.75% | ||
| LSCC - QTUM | 79% Closely correlated | -5.47% | ||
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HTEC | 44.01 | -0.06 | -0.14% |
| ROBO Global Healthcare Technology and Innovation ETF (HTEC) | |||
| FCOR | 44.98 | -0.08 | -0.17% |
| Fidelity Corporate Bond ETF (FCOR) | |||
| VSHY | 21.34 | -0.04 | -0.21% |
| Virtus Newfleet Short Duration High Yield Bond ETF (VSHY) | |||
| JPEF | 80.30 | -0.50 | -0.62% |
| JPMorgan Equity Focus ETF (JPEF) | |||
| INFH | 2.74 | -0.15 | -5.34% |
| Defiance Daily Target 2X Long INFQ ETF (INFH) | |||