ARK Innovation ETF (ARKK) and SPDR S&P Kensho New Economies Composite ETF (KOMP) both provide exposure to companies benefiting from technological advancement and economic transformation, yet they employ fundamentally different strategies. ARKK represents an active, high-conviction approach to disruptive innovation, while KOMP delivers passive, rules-based access to a broad composite of new economy firms. These ETFs do not compete directly but offer alternative pathways for investors seeking growth-oriented thematic exposure, allowing comparison of active versus passive methodologies within overlapping innovation themes amid ongoing sector evolution.
The ARK Innovation ETF (ARKK) is an actively managed exchange-traded fund sponsored by ARK Investment Management that seeks long-term capital appreciation by investing in companies positioned to benefit from disruptive innovation across genomics, industrial innovation, and next-generation internet themes. It typically holds 35-55 securities in a concentrated portfolio. Recent top holdings include TSLA, Tempus AI, CRISPR Therapeutics, Robinhood Markets, Shopify, and Advanced Micro Devices, with the top 10 often accounting for nearly 50% of assets. Sector allocations emphasize technology services, health technology, and electronic technology. The fund carries an expense ratio of 0.75% and features active rebalancing based on the manager's research-driven views, distinguishing it through concentrated, high-conviction positioning rather than broad indexing.
The SPDR S&P Kensho New Economies Composite ETF (KOMP) is a passively managed exchange-traded fund issued by State Street Global Advisors that seeks to track the performance of the S&P Kensho New Economies Composite Index before fees and expenses. It holds approximately 500 securities for broad diversification, with the top 10 holdings typically representing under 11% of assets. Sector allocations feature prominent weights in electronic technology and technology services, alongside exposure to industrials, healthcare, and other new economy areas. The fund maintains an expense ratio of 0.20% and employs index-based rebalancing to reflect the underlying composite methodology, providing systematic exposure to emerging economic themes with greater liquidity and lower concentration risk.
The innovation and new economies sector encompasses companies advancing artificial intelligence, genomics, automation, digital platforms, and sustainable technologies. Macro drivers include ongoing advancements in computational power, regulatory support for emerging tech, and capital allocation toward transformative industries amid shifting interest rate environments. Catalysts involve earnings growth in key technology and healthcare firms, while risks encompass valuation pressures, supply chain disruptions, and evolving policy frameworks. Both ETFs operate within this dynamic environment, where sector rotation and technological adoption influence capital flows across thematic strategies.
In recent market cycles, ARKK has exhibited higher volatility consistent with its concentrated active strategy and sensitivity to sentiment around top holdings, often amplifying movements during innovation-driven rallies or rotations. KOMP has demonstrated more moderate volatility through its diversified passive structure, providing steadier exposure during sector shifts. Performance dynamics tie to broader themes such as technology earnings cycles, interest rate expectations affecting growth valuations, and macroeconomic trends influencing capital flows into new economy areas. Relative positioning highlights ARKK's potential for outsized gains in favorable innovation environments versus KOMP's emphasis on consistent, lower-cost participation across a wider set of constituents.
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. AI Screener
Based on observable structural factors, Tickeron’s AI would currently assign a probabilistic preference toward SPDR S&P Kensho New Economies Composite ETF (KOMP) due to its lower expense ratio, broader diversification across hundreds of holdings, and rules-based methodology that may support more consistent trend exposure with reduced single-stock risk. ARK Innovation ETF (ARKK) offers compelling concentrated thematic access but carries higher costs and volatility inherent to active management. This assessment reflects comparative efficiency and positioning rather than a guarantee of future outcomes.
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| ARKK | KOMP | ARKK / KOMP | |
| Gain YTD | 1.716 | 12.642 | 14% |
| Net Assets | 6.76B | 2.71B | 249% |
| Total Expense Ratio | 0.75 | 0.20 | 375% |
| Turnover | 43.00 | 45.00 | 96% |
| Yield | 0.00 | 1.45 | - |
| Fund Existence | 12 years | 8 years | - |
| ARKK | KOMP | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| MACD ODDS (%) | 2 days ago 90% | 6 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 85% |
| Advances ODDS (%) | 14 days ago 89% | 15 days ago 88% |
| Declines ODDS (%) | 2 days ago 90% | 2 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 83% |
A.I.dvisor indicates that over the last year, KOMP has been closely correlated with BLK. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if KOMP jumps, then BLK could also see price increases.
| Ticker / NAME | Correlation To KOMP | 1D Price Change % | ||
|---|---|---|---|---|
| KOMP | 100% | -1.95% | ||
| BLK - KOMP | 68% Closely correlated | -0.44% | ||
| ST - KOMP | 67% Closely correlated | -2.03% | ||
| EMR - KOMP | 67% Closely correlated | -2.52% | ||
| TXN - KOMP | 66% Loosely correlated | -4.14% | ||
| ROK - KOMP | 64% Loosely correlated | -2.47% | ||
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