Investors evaluating growth-oriented equity exposure often compare specialized thematic ETFs that address overlapping yet distinct facets of technological advancement. ARKF and CIBR do not compete directly but instead represent alternative strategies within the broader technology and innovation landscape. ARKF pursues active selection of companies driving fintech and blockchain evolution, while CIBR delivers targeted passive access to the cybersecurity sector. This comparison highlights how differing objectives, costs, and portfolio constructions can suit varied investor goals amid ongoing digital infrastructure expansion and security demands.
ARKF is an actively managed exchange-traded fund from ARK Investment Management LLC that seeks long-term capital growth by investing primarily in equity securities of companies engaged in blockchain and fintech innovation. The fund typically holds 35-55 securities, with recent counts around 40-43 holdings. Top positions often include companies such as Shopify Inc. (SHOP), Coinbase Global Inc. (COIN), Robinhood Markets Inc. (HOOD), Palantir Technologies Inc. (PLTR), and Block Inc. (XYZ). Allocations concentrate in technology and financial services sectors, with notable exposure to digital wallets, next-generation cloud computing, and cryptocurrencies. The expense ratio stands at 0.75%. As an active thematic vehicle, ARKF employs proprietary research for security selection and does not track a traditional index, allowing flexibility in response to evolving innovation themes. Rebalancing occurs as needed based on the adviser's assessments rather than fixed schedules.
CIBR is a passively managed exchange-traded fund from First Trust that seeks to replicate the performance of the Nasdaq CTA Cybersecurity Index. The fund generally holds 35-44 securities representing companies classified as cybersecurity providers. Prominent holdings frequently feature Broadcom Inc. (AVGO), CrowdStrike Holdings Inc. (CRWD), Cisco Systems Inc. (CSCO), Palo Alto Networks Inc. (PANW), and Fortinet Inc. (FTNT). Sector exposure centers on technology, particularly software and computer services, with additional representation in communications equipment and select industrials. The expense ratio is 0.58%. CIBR uses physical replication of the index with a modified liquidity-weighted methodology and undergoes quarterly rebalancing. The structure emphasizes established cybersecurity firms across market capitalizations, providing diversified access within the defined index universe.
Both ETFs operate within the expansive technology sector, driven by accelerating digital adoption, enterprise modernization, and heightened focus on data protection. Cybersecurity demand stems from rising threats to critical infrastructure and regulatory emphasis on resilience, supporting sustained investment in related technologies. Fintech and blockchain innovation benefit from evolving payment systems, decentralized finance applications, and efficiency gains in traditional financial services. Macroeconomic factors including interest rate environments and capital expenditure cycles influence both areas, while geopolitical tensions can amplify needs for secure networks. Risks include rapid technological obsolescence, competitive intensity, and potential regulatory shifts affecting data privacy or cryptocurrency frameworks. These dynamics create a supportive yet competitive backdrop for thematic allocations.
In recent market cycles, CIBR has demonstrated resilience tied to consistent enterprise spending on security solutions, often exhibiting lower relative volatility due to its passive construction and established index constituents. ARKF's active management has led to periods of outperformance during strong innovation rallies but also greater sensitivity to shifts in growth sentiment or specific holding performance. Sector rotation favoring defensive technology spending has periodically benefited CIBR, whereas ARKF has shown responsiveness to fintech-specific catalysts such as digital transaction growth. Over broader timeframes, differences in concentration and management style contribute to distinct drawdown profiles and recovery patterns, with CIBR generally offering steadier exposure to its cybersecurity niche and ARKF providing potential for amplified returns in high-conviction innovation themes.
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. Investors seeking data-driven insights on ETFs like ARKF or CIBR may find the tool useful for refining screening criteria aligned with their objectives.
Based on structural attributes including lower expense ratio, passive index methodology, and broader liquidity profile, Tickeron’s AI would currently assign a higher probabilistic preference to CIBR. The fund’s cost efficiency and diversified exposure within a high-demand cybersecurity theme support more consistent positioning across market environments compared to ARKF’s active approach and elevated fees. Investors should evaluate these factors alongside individual risk tolerance and portfolio needs.
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| ARKF | CIBR | ARKF / CIBR | |
| Gain YTD | -5.333 | 32.464 | -16% |
| Net Assets | 790M | 15.3B | 5% |
| Total Expense Ratio | 0.75 | 0.58 | 129% |
| Turnover | 32.00 | 21.00 | 152% |
| Yield | 0.09 | 0.39 | 24% |
| Fund Existence | 8 years | 11 years | - |
| ARKF | CIBR | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 89% |
| MACD ODDS (%) | 2 days ago 77% | 2 days ago 80% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 82% |
| Advances ODDS (%) | 10 days ago 87% | 17 days ago 86% |
| Declines ODDS (%) | 3 days ago 90% | 5 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, ARKF has been loosely correlated with OPEN. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if ARKF jumps, then OPEN could also see price increases.
| Ticker / NAME | Correlation To ARKF | 1D Price Change % | ||
|---|---|---|---|---|
| ARKF | 100% | +0.80% | ||
| OPEN - ARKF | 65% Loosely correlated | -0.36% | ||
| XYZ - ARKF | 64% Loosely correlated | +0.18% | ||
| TWLO - ARKF | 57% Loosely correlated | -1.64% | ||
| RDDT - ARKF | 56% Loosely correlated | +1.56% | ||
| TOST - ARKF | 54% Loosely correlated | +0.56% | ||
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A.I.dvisor indicates that over the last year, CIBR has been closely correlated with CRWD. These tickers have moved in lockstep 88% 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% | +0.25% | ||
| CRWD - CIBR | 88% Closely correlated | -1.02% | ||
| PANW - CIBR | 83% Closely correlated | -2.32% | ||
| OKTA - CIBR | 81% Closely correlated | -2.69% | ||
| FTNT - CIBR | 77% Closely correlated | -1.75% | ||
| TENB - CIBR | 73% Closely correlated | -5.99% | ||
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