Investors seeking technology exposure face a choice between specialized and screened approaches. VanEck Semiconductor ETF (SMH) and SP Funds S&P Global Technology ETF (SPTE) both target high-growth technology themes but differ in focus, methodology, and investor accessibility. SMH delivers targeted semiconductor exposure, while SPTE combines global information technology with Shariah compliance. These ETFs do not compete directly but serve as complementary or alternative vehicles for investors pursuing sector growth amid artificial intelligence advancements and evolving regulatory landscapes.
VanEck Semiconductor ETF (SMH) is a passively managed exchange-traded fund that seeks to replicate the MVIS US Listed Semiconductor 25 Index. The index comprises the 25 largest and most liquid U.S.-listed companies involved in semiconductor production and equipment. The fund typically holds 25 to 26 securities, with top holdings including NVDA, TSM, AVGO, AMD, and MU. Sector allocation is 100% technology, centered on semiconductors. The expense ratio stands at 0.35%. The strategy employs modified market-cap weighting with individual holdings capped at 20% and undergoes quarterly rebalancing. This structure provides concentrated, liquid exposure to the semiconductor value chain.
SP Funds S&P Global Technology ETF (SPTE) is a passively managed fund tracking the S&P Global 1200 Shariah Information Technology Capped Index. The index measures performance of global large- and mid-cap equity securities in the information technology sector that meet Shariah investment guidelines. The fund holds approximately 100 to 108 securities. Top holdings typically include NVDA, TSM, AAPL, MSFT, and ASML. Sector allocations emphasize electronic technology and technology services, with minor exposure to other areas. The expense ratio is 0.55%. The strategy uses capped weighting for diversification and adheres to Shariah screening, making it suitable for investors seeking technology exposure aligned with Islamic principles.
The technology sector continues to benefit from sustained demand for artificial intelligence infrastructure, advanced computing, and semiconductor innovation. Capital flows into chipmakers and related supply chains reflect multi-year investment cycles in data centers and generative AI applications. Macroeconomic drivers include interest rate expectations and global supply chain resilience, while regulatory developments around export controls and trade policies introduce ongoing considerations for international holdings. Both ETFs operate within this environment, with semiconductor-focused strategies particularly sensitive to cyclical earnings from leading chip designers and manufacturers.
In recent market cycles, semiconductor-centric exposure such as that in SMH has demonstrated stronger alignment with artificial intelligence-driven earnings growth among top holdings. SPTE’s broader information technology mandate and Shariah constraints have produced more diversified but potentially less concentrated participation in semiconductor rallies. Volatility differences arise from SMH’s narrower focus versus SPTE’s wider holdings base and screening criteria. Relative positioning favors pure-play semiconductor strategies during periods of robust chip demand, while broader tech exposure may provide stability across varying technology subsector rotations.
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Based on observable factors including lower expense ratio, concentrated exposure to high-momentum semiconductor names, and alignment with prevailing artificial intelligence sector trends, Tickeron’s AI would likely favor VanEck Semiconductor ETF (SMH) over SP Funds S&P Global Technology ETF (SPTE) in the current environment, while acknowledging SPTE’s value for Shariah-compliant mandates.
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| SMH | SPTE | SMH / SPTE | |
| Gain YTD | 55.616 | 33.103 | 168% |
| Net Assets | 66.8B | 228M | 29,298% |
| Total Expense Ratio | 0.35 | 0.55 | 64% |
| Turnover | 12.00 | 31.00 | 39% |
| Yield | 0.20 | 0.75 | 27% |
| Fund Existence | 15 years | 3 years | - |
| SMH | SPTE | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 82% | 4 days ago 80% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 84% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 81% |
| TrendWeek ODDS (%) | 4 days ago 87% | 4 days ago 79% |
| TrendMonth ODDS (%) | 4 days ago 87% | 4 days ago 90% |
| Advances ODDS (%) | 12 days ago 90% | 12 days ago 90% |
| Declines ODDS (%) | 6 days ago 81% | 5 days ago 74% |
| BollingerBands ODDS (%) | 4 days ago 87% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 83% | 4 days ago 62% |
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, SPTE has been closely correlated with TSM. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPTE jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To SPTE | 1D Price Change % | ||
|---|---|---|---|---|
| SPTE | 100% | +0.36% | ||
| TSM - SPTE | 85% Closely correlated | +0.71% | ||
| ASML - SPTE | 79% Closely correlated | +0.77% | ||
| MPWR - SPTE | 70% Closely correlated | +0.43% | ||
| AVGO - SPTE | 68% Closely correlated | +1.21% | ||
| GLW - SPTE | 64% Loosely correlated | -1.06% | ||
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