ARK Innovation ETF (ARKK) and SPDR S&P Kensho New Economies Composite ETF (KOMP) both provide exposure to companies driving technological and economic transformation. They do not compete directly as identical products but represent alternative strategies for investors seeking innovation-themed equity exposure. ARKK employs active management to select high-conviction holdings aligned with disruptive themes, while KOMP follows a passive index that aggregates multiple new-economy sub-indices. This comparison highlights how their structural differences affect exposure, costs, and positioning within the evolving innovation landscape.
ARK Innovation ETF (ARKK) is an actively managed exchange-traded fund that seeks long-term capital growth by investing primarily in domestic and foreign equity securities of companies relevant to its disruptive innovation theme. The fund typically holds between 35 and 55 positions and maintains a non-diversified structure. Recent top holdings include Tesla Inc. (TSLA), Tempus AI Inc. (TEM), CRISPR Therapeutics AG (CRSP), Advanced Micro Devices Inc. (AMD), and Coinbase Global Inc. (COIN), with the largest positions often exceeding 5% of assets. Sector allocations concentrate in information technology and healthcare, reflecting the fund’s focus on genomics, autonomous mobility, and digital platforms. The expense ratio is 0.75%, and the strategy involves periodic rebalancing based on ARK Investment Management’s thematic research rather than a fixed index. Distinguishing features include high active share and flexibility to adjust holdings in response to evolving innovation trends.
SPDR S&P Kensho New Economies Composite ETF (KOMP) is a passively managed exchange-traded fund that seeks to track the total return performance of the S&P Kensho New Economies Composite Index before fees and expenses. The index aggregates multiple sub-indices covering themes such as robotics, artificial intelligence, and advanced manufacturing, resulting in approximately 450 to 500 holdings. Top positions typically represent less than 2% each, promoting broad diversification across small-, mid-, and large-capitalization companies. Sector allocations span technology, industrials, and healthcare, with meaningful exposure to both developed and emerging markets. The expense ratio is 0.20%, and the index rebalances semi-annually with constituent selection aided by natural language processing to identify innovation-related companies. Key characteristics include rules-based construction and quarterly distributions.
The broader innovation and technology sectors continue to experience capital allocation toward companies advancing artificial intelligence, automation, genomics, and connected systems. Regulatory developments around data privacy, semiconductor supply chains, and biotechnology approvals influence both funds. Macroeconomic factors such as interest rate expectations and corporate earnings cycles in growth-oriented industries affect capital flows into thematic strategies. Sector risks include valuation compression in high-growth names and shifts in investor preference between concentrated active bets and diversified index exposure. These dynamics create an environment where cost efficiency and diversification can differentiate performance outcomes over multiple market cycles.
In recent market cycles, ARKK has demonstrated higher sensitivity to movements in its concentrated holdings, particularly within technology and healthcare names, leading to greater volatility during sector rotations. SPDR S&P Kensho New Economies Composite ETF (KOMP) has shown more tempered responses due to its wider holdings base and passive methodology, providing steadier exposure across new-economy sub-sectors. Relative positioning reflects ARKK’s active tilt toward specific disruptive themes versus KOMP’s systematic weighting of sub-indices by risk-adjusted metrics. Both have participated in broader innovation rallies and corrections, yet the structural contrast in concentration and cost influences how each ETF navigates earnings seasons and macroeconomic shifts.
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 into funds like ARK Innovation ETF (ARKK) or SPDR S&P Kensho New Economies Composite ETF (KOMP) may find the platform useful for refining their research process.
Tickeron’s AI would currently assign higher probabilistic favor to SPDR S&P Kensho New Economies Composite ETF (KOMP) based on its lower expense ratio, broader diversification across hundreds of holdings, and rules-based methodology that reduces single-name concentration risk. While ARK Innovation ETF (ARKK) offers targeted active exposure to high-conviction innovation themes, the combination of cost efficiency and structural stability in KOMP aligns more closely with durable positioning across varying market environments.
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.
| ARKK | KOMP | ARKK / KOMP | |
| Gain YTD | 9.100 | 13.783 | 66% |
| Net Assets | 6.64B | 2.74B | 243% |
| Total Expense Ratio | 0.75 | 0.20 | 375% |
| Turnover | 43.00 | 45.00 | 96% |
| Yield | 0.00 | 1.58 | - |
| Fund Existence | 12 years | 8 years | - |
| ARKK | KOMP | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 79% | 2 days ago 78% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 85% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 85% |
| Advances ODDS (%) | 13 days ago 89% | 12 days ago 88% |
| Declines ODDS (%) | 20 days ago 89% | 8 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MST | 11.70 | 0.60 | +5.41% |
| Defiance Leveraged Long + Inc MSTR ETF | |||
| DOGG | 22.70 | 0.12 | +0.53% |
| FT Vest DJIA® Dogs 10 Trgt Inc ETF | |||
| PHYL | 34.81 | 0.03 | +0.07% |
| PGIM Active High Yield Bond ETF | |||
| PSQO | 20.82 | N/A | N/A |
| Palmer Square Credit Opportunities ETF | |||
| CSPF | 25.97 | -0.01 | -0.02% |
| Cohen & Steers Pref & Inc Opps Act ETF | |||
A.I.dvisor indicates that over the last year, ARKK has been closely correlated with RXRX. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if ARKK jumps, then RXRX could also see price increases.
| Ticker / NAME | Correlation To ARKK | 1D Price Change % | ||
|---|---|---|---|---|
| ARKK | 100% | -2.66% | ||
| RXRX - ARKK | 73% Closely correlated | -7.14% | ||
| ACHR - ARKK | 69% Closely correlated | -3.65% | ||
| SE - ARKK | 61% Loosely correlated | -1.57% | ||
| FIRY - ARKK | 60% Loosely correlated | -5.53% | ||
| DDD - ARKK | 56% Loosely correlated | -2.19% | ||
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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% | -2.11% | ||
| BLK - KOMP | 68% Closely correlated | +1.39% | ||
| ST - KOMP | 67% Closely correlated | -2.03% | ||
| AMRC - KOMP | 66% Closely correlated | -1.92% | ||
| TXN - KOMP | 66% Loosely correlated | -2.05% | ||
| RKLB - KOMP | 66% Loosely correlated | -5.91% | ||
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