Investors seeking technology exposure often evaluate specialized versus broader strategies. The First Trust NASDAQ Cybersecurity ETF (CIBR) and First Trust Technology AlphaDEX Fund (FXL) both target technology-related equities but pursue different objectives. CIBR focuses exclusively on cybersecurity, while FXL applies quantitative screens across the wider technology sector. These ETFs do not compete directly but serve as complementary or alternative options for investors balancing thematic conviction with diversified sector participation.
The First Trust NASDAQ Cybersecurity ETF (CIBR) seeks to track the Nasdaq CTA Cybersecurity Index. It employs a passive strategy with physical replication and holds approximately 46 securities. Top holdings typically include companies such as Cisco Systems, Broadcom, CrowdStrike Holdings, Palo Alto Networks, and similar cybersecurity-focused firms. Sector allocations concentrate in technology services and electronic technology, with meaningful exposure to software, networking, and select aerospace and defense names. The expense ratio stands at 0.58%. The fund rebalances quarterly and applies modified liquidity weighting with concentration caps. As a non-diversified fund, it emphasizes thematic purity within cybersecurity.
The First Trust Technology AlphaDEX Fund (FXL) tracks the StrataQuant Technology Index using the AlphaDEX methodology, a rules-based smart-beta approach that ranks technology stocks from the Russell 1000 Index on growth and value metrics. It maintains around 100 holdings with modified equal-dollar weighting. Representative top positions include Alphabet, Broadcom, NVIDIA, and other large- and mid-cap technology companies. Allocations span technology services and electronic technology sectors. The expense ratio is 0.60%. The fund follows a passive structure with periodic rebalancing tied to the index methodology and offers broader technology exposure than pure thematic funds.
The technology sector continues to benefit from digital transformation, cloud adoption, and enterprise spending on security solutions. Cybersecurity demand remains elevated due to persistent threats, regulatory emphasis on data protection, and expanding attack surfaces across industries. Broader technology earnings cycles reflect capital expenditure trends in semiconductors, software, and hardware. Macro factors such as interest rate expectations and corporate budget allocations influence both themes. Regulatory developments around data privacy and export controls on advanced technology add complexity to the environment. Capital flows into technology ETFs reflect sustained investor interest in innovation-driven growth amid evolving macroeconomic conditions.
In recent market cycles, CIBR has demonstrated sensitivity to cybersecurity-specific news and contract announcements, resulting in periods of outperformance during heightened threat environments. FXL has shown broader participation in technology rallies driven by earnings momentum across the sector. Relative positioning highlights CIBR’s higher concentration risk versus FXL’s diversified selection process. Volatility differences arise from CIBR’s thematic focus compared with FXL’s factor-based approach that may moderate exposure during sector rotations. Both ETFs have navigated recent weeks and months through earnings seasons and macroeconomic shifts, with positioning influenced by growth expectations in software and hardware subsectors.
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 refine your ETF research process.
Tickeron’s AI would currently assign a modest edge to the First Trust NASDAQ Cybersecurity ETF (CIBR) due to its concentrated thematic exposure, structural alignment with persistent cybersecurity demand, and competitive expense ratio within its niche. The fund’s focused holdings profile and index methodology provide clearer sector momentum capture compared with FXL’s broader, factor-driven technology allocation. Investors should weigh individual risk tolerance and portfolio objectives when evaluating either option.
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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 21 similar instances when the indicator left oversold territory. In 20 of the 21 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 7 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +4.03% 3-day Advance, the price is estimated to grow further. Considering data from situations where CIBR advanced for three days, in 307 of 357 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 66 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 84%.
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 9 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 60%.
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 11, 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.
FXL saw its Momentum Indicator move below the 0 level on November 02, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 93 similar instances where the indicator turned negative. In 81 of the 93 cases, the stock moved further down in the following days. The odds of a decline are at 87%.
The Moving Average Convergence Divergence Histogram (MACD) for FXL turned negative on October 29, 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 45 similar instances when the indicator turned negative. In 38 of the 45 cases the stock turned lower in the days that followed. This puts the odds of success at 84%.
FXL 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 FXL crossed bearishly below the 50-day moving average on November 03, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 17 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 65%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FXL 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 79%.
The Aroon Indicator for FXL entered a downward trend on November 11, 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 FXL's RSI Oscillator exited the oversold zone, 18 of 20 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. 54 of 61 cases where FXL'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 +4.61% 3-day Advance, the price is estimated to grow further. Considering data from situations where FXL advanced for three days, in 292 of 339 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.
FXL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| CIBR | FXL | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 84% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 85% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 83% |
| Advances ODDS (%) | 3 days ago 86% | 3 days ago 86% |
| Declines ODDS (%) | 10 days ago 81% | 7 days ago 79% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 81% |
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% | +1.71% | ||
| CRWD - CIBR | 90% Closely correlated | +1.46% | ||
| PANW - CIBR | 85% Closely correlated | +2.48% | ||
| OKTA - CIBR | 84% Closely correlated | +2.18% | ||
| FTNT - CIBR | 75% Closely correlated | +3.67% | ||
| TENB - CIBR | 74% Closely correlated | +2.31% | ||
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A.I.dvisor indicates that over the last year, FXL has been closely correlated with ONTO. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if FXL jumps, then ONTO could also see price increases.
| Ticker / NAME | Correlation To FXL | 1D Price Change % | ||
|---|---|---|---|---|
| FXL | 100% | +2.59% | ||
| ONTO - FXL | 74% Closely correlated | +8.89% | ||
| NXPI - FXL | 74% Closely correlated | +3.04% | ||
| HPE - FXL | 67% Closely correlated | +4.84% | ||
| BSY - FXL | 66% Loosely correlated | -1.77% | ||
| SNX - FXL | 65% Loosely correlated | +3.60% | ||
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