ARK Next Generation Internet ETF (ARKW) and VanEck Semiconductor ETF (SMH) attract investor attention as distinct vehicles within the technology space. ARKW pursues active management of next-generation internet themes, while SMH provides passive exposure to the semiconductor industry. These ETFs do not compete directly but offer alternative strategies for investors seeking technology-driven growth, with ARKW emphasizing thematic disruption and SMH targeting specialized hardware supply chains. Comparing their structures helps clarify trade-offs in cost, concentration, and thematic breadth amid ongoing semiconductor and digital innovation trends.
ARK Next Generation Internet ETF (ARKW) is an actively managed thematic exchange-traded fund launched in 2014 that seeks long-term capital growth by investing primarily in equity securities of companies relevant to the next-generation internet theme. The fund typically maintains 35–55 holdings and allocates across technology services and electronic technology sectors. Its expense ratio stands at 0.76%. As an actively managed product from ARK Invest, ARKW employs discretionary security selection and periodic rebalancing based on fundamental research rather than a fixed index. Key distinguishing features include its non-diversified structure and focus on innovative, high-growth companies, which can lead to concentrated positions in select names.
VanEck Semiconductor ETF (SMH) is a passively managed exchange-traded fund that seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index before fees and expenses. Launched in 2000, the fund holds approximately 25 securities, with heavy weighting toward leading semiconductor producers and equipment makers. Its expense ratio is 0.35%. SMH operates as a non-diversified fund with low portfolio turnover and straightforward index replication methodology. Top holdings typically include major chip designers and manufacturers, resulting in a concentrated yet sector-specific profile focused almost entirely on information technology, particularly semiconductors.
The semiconductor and broader technology sectors continue to experience structural demand driven by artificial intelligence, data center expansion, and advanced computing needs. Capital flows have favored semiconductor supply chains amid global chip production investments, while regulatory developments around export controls and supply chain resilience influence positioning. Macroeconomic drivers such as interest rate expectations and corporate capital expenditure cycles affect both themes, with innovation in internet infrastructure supporting ARKW’s focus and sustained chip demand underpinning SMH. Sector risks include geopolitical tensions affecting manufacturing and potential cyclical slowdowns in electronics spending.
In recent market cycles, VanEck Semiconductor ETF (SMH) has demonstrated strong relative positioning tied to semiconductor earnings momentum and AI-related capital spending, benefiting from its concentrated exposure to high-growth chip leaders. ARK Next Generation Internet ETF (ARKW) has shown more variable performance reflecting active thematic bets across internet and adjacent innovations, with greater sensitivity to broader growth stock rotations. Volatility differences arise from SMH’s narrow sector focus versus ARKW’s wider thematic dispersion, influencing how each responds to interest rate shifts and earnings seasons. Relative positioning highlights SMH’s efficiency in capturing semiconductor-specific trends, while ARKW offers exposure to evolving digital infrastructure narratives.
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 ETFs like ARKW and SMH may find the tool useful for refining their research process.
Tickeron’s AI would likely favor VanEck Semiconductor ETF (SMH) at present due to its lower expense ratio, passive structure, focused semiconductor exposure aligned with observable sector momentum, and strong diversification profile within its targeted industry. ARK Next Generation Internet ETF (ARKW) offers active thematic flexibility but carries higher costs and broader risk dispersion. This assessment rests on structural efficiency, cost advantages, and trend consistency rather than short-term fluctuations.
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| ARKW | SMH | ARKW / SMH | |
| Gain YTD | 0.467 | 69.669 | 1% |
| Net Assets | 1.76B | 73.7B | 2% |
| Total Expense Ratio | 0.76 | 0.35 | 217% |
| Turnover | 44.00 | 12.00 | 367% |
| Yield | 1.62 | 0.17 | 964% |
| Fund Existence | 12 years | 15 years | - |
| ARKW | SMH | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 84% | 4 days ago 85% |
| Stochastic ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 86% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 12 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 5 days ago 88% | 19 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 90% | 7 days ago 89% |
| Aroon ODDS (%) | 4 days ago 89% | 3 days ago 90% |
| 1 Day | |||
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| FOREX / NAME | Price $ | Chg $ | Chg % |
| CADHKD | 5.65 | 0.12 | +2.14% |
| Canadian Dollar - Hong Kong Dollar | |||
| JPYNZD | 0.01 | 0.00 | +1.66% |
| Japan Yen - New Zealand Dollar | |||
| USDNZD | 1.75 | 0.01 | +0.55% |
| United States Dollar - New Zealand Dollar | |||
| GBPHKD | 10.38 | -0.13 | -1.20% |
| United Kingdom Pound - Hong Kong Dollar | |||
| CNYHKD | 1.13 | -0.02 | -1.87% |
| China Yuan - Hong Kong Dollar | |||
A.I.dvisor indicates that over the last year, ARKW 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 ARKW jumps, then OPEN could also see price increases.
| Ticker / NAME | Correlation To ARKW | 1D Price Change % | ||
|---|---|---|---|---|
| ARKW | 100% | -0.75% | ||
| OPEN - ARKW | 65% Loosely correlated | -10.09% | ||
| SE - ARKW | 63% Loosely correlated | +1.86% | ||
| XYZ - ARKW | 57% Loosely correlated | -0.15% | ||
| TSM - ARKW | 56% Loosely correlated | -0.65% | ||
| FIRY - ARKW | 55% Loosely correlated | -3.06% | ||
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +0.54% | ||
| LRCX - SMH | 88% Closely correlated | -0.80% | ||
| KLAC - SMH | 85% Closely correlated | +0.88% | ||
| AMAT - SMH | 83% Closely correlated | +2.35% | ||
| ASML - SMH | 82% Closely correlated | -0.38% | ||
| MPWR - SMH | 80% Closely correlated | -1.56% | ||
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