Investors evaluating technology-themed exchange-traded funds (ETFs) often compare specialized semiconductor vehicles with broader technology benchmarks. The VanEck Semiconductor ETF (SMH) and the SPDR NYSE Technology ETF (XNTK) represent distinct approaches within the same overarching sector. SMH delivers targeted exposure to semiconductor companies, while XNTK provides diversified access across multiple technology sub-industries. These ETFs do not compete directly but serve as complementary or alternative tools depending on an investor’s conviction in chip-specific growth versus broader tech trends. The comparison highlights differences in concentration, weighting methodology, and thematic precision that matter for portfolio construction in evolving market environments.
The VanEck Semiconductor ETF (SMH) seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index. This market-cap-weighted index includes approximately 25 of the largest U.S.-listed companies engaged in semiconductor production and equipment manufacturing. The fund typically holds around 26 securities and maintains a 100% allocation to the technology sector, with particular emphasis on semiconductors. Top holdings often account for over 70% of assets, led by major chip designers and manufacturers. SMH employs a passive strategy with no active management component and features an expense ratio of 0.35%. Its distinguishing characteristic is the narrow, industry-specific mandate that captures semiconductor supply-chain dynamics without dilution from adjacent technology areas.
The SPDR NYSE Technology ETF (XNTK) tracks the NYSE Technology Index, which comprises 35 leading U.S.-listed technology-related companies. The fund utilizes an equal-weighted methodology, providing balanced exposure across its holdings rather than concentrating assets in the largest constituents. XNTK maintains approximately 35 securities and spans a wider technology universe that includes hardware, software, semiconductors, and related services. Its expense ratio stands at 0.35%, matching that of SMH. As a passive vehicle, XNTK rebalances periodically to maintain equal weights, which can introduce different performance characteristics during periods of varying stock leadership within the technology sector.
The technology sector continues to benefit from structural demand drivers including artificial intelligence infrastructure buildout, data center expansion, and ongoing digital transformation across industries. Semiconductor supply chains remain sensitive to geopolitical tensions, export controls, and capacity investments, while broader technology firms face varying impacts from interest rate environments and corporate spending cycles. Capital flows into technology have shown resilience in recent market cycles, supported by earnings growth in key subsectors. Regulatory developments around export restrictions and competition policy add layers of complexity for both semiconductor-focused and diversified technology portfolios. These macro and thematic factors create an environment where concentrated industry bets and broader sector allocations each carry distinct risk-return profiles.
Over recent weeks and months, relative performance between the two ETFs has reflected differences in concentration and weighting. SMH’s market-cap weighting amplifies moves in its largest semiconductor holdings during earnings-driven rallies or pullbacks. XNTK’s equal-weighted approach can moderate volatility by distributing exposure more evenly, potentially leading to different behavior during rotations within technology. Both ETFs respond to broader sector momentum, interest rate expectations, and capital expenditure trends in technology infrastructure. SMH tends to exhibit higher sensitivity to semiconductor-specific catalysts, while XNTK captures a more diversified set of technology earnings outcomes. Investors monitoring relative positioning often consider these structural traits when assessing how each fund may respond to shifts in market leadership.
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Based on structural characteristics, Tickeron’s AI would currently assign a modest preference to the VanEck Semiconductor ETF (SMH) for investors with high conviction in semiconductor leadership, citing its targeted exposure and established liquidity profile. For those seeking broader diversification within technology, the SPDR NYSE Technology ETF (XNTK) presents a lower-concentration alternative with comparable costs. The assessment rests on observable factors including index construction, sector focus, and risk concentration rather than short-term price movements.
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| SMH | XNTK | SMH / XNTK | |
| Gain YTD | 55.616 | 28.698 | 194% |
| Net Assets | 66.8B | 1.98B | 3,370% |
| Total Expense Ratio | 0.35 | 0.35 | 100% |
| Turnover | 12.00 | 16.00 | 75% |
| Yield | 0.20 | 0.16 | 129% |
| Fund Existence | 15 years | 26 years | - |
| SMH | XNTK | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 82% | 3 days ago 88% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 87% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 87% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| Advances ODDS (%) | 11 days ago 90% | 11 days ago 89% |
| Declines ODDS (%) | 5 days ago 81% | 5 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 87% | 3 days ago 81% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 86% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GSIE | 48.15 | 0.32 | +0.67% |
| Goldman Sachs ActiveBeta® Intl Eq ETF | |||
| SPE | 13.38 | 0.06 | +0.45% |
| Special Opportunities Fund | |||
| KNOV | 32.25 | 0.11 | +0.34% |
| Innovator U.S. Small Cp Pwr Buf ETF -Nov | |||
| PTF | 102.36 | -0.60 | -0.58% |
| Invesco Dorsey Wright Technology MomtETF | |||
| EWV | 16.86 | -0.34 | -2.00% |
| ProShares UltraShort MSCI Japan | |||
A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 89% 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% | -0.40% | ||
| LRCX - SMH | 89% Closely correlated | +1.12% | ||
| AMAT - SMH | 86% Closely correlated | -0.78% | ||
| KLAC - SMH | 85% Closely correlated | -1.01% | ||
| ASML - SMH | 84% Closely correlated | +0.77% | ||
| TSM - SMH | 83% Closely correlated | +0.71% | ||
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A.I.dvisor indicates that over the last year, XNTK has been closely correlated with TSM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if XNTK jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To XNTK | 1D Price Change % | ||
|---|---|---|---|---|
| XNTK | 100% | -0.08% | ||
| TSM - XNTK | 78% Closely correlated | +0.71% | ||
| ADI - XNTK | 73% Closely correlated | +0.77% | ||
| ABNB - XNTK | 59% Loosely correlated | +1.24% | ||
| SE - XNTK | 56% Loosely correlated | +0.25% | ||
| SNOW - XNTK | 55% Loosely correlated | +3.58% | ||
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