Investors navigating the technology sector face choices between specialized thematic ETFs like IGPT, SMH, and SPTE, which collectively capture AI, semiconductors, and global tech trends. IGPT focuses on next-generation software development, SMH hones in on semiconductor production, and SPTE offers Shariah-compliant broad technology exposure. These funds represent varying strategic approaches to the same high-growth theme: innovation-driven tech amid surging AI adoption and capital inflows. Comparing them reveals trade-offs in concentration, costs, diversification, and compliance, aiding decisions in a market sensitive to interest rates, supply chains, and regulatory shifts. This analysis highlights structural differences for informed positioning.
The Invesco AI and Next Gen Software ETF (IGPT) is a passive fund tracking the STOXX World AC NexGen Software Development Index, investing at least 90% of assets in companies deriving significant revenue from future software technologies like AI and cloud computing. It holds 101 securities, providing moderate diversification. Top holdings include MU (10.07%), SK hynix (10.06%), INTC (8.08%), GOOGL (7.22%), and AMD (7.08%). Sector allocations emphasize semiconductors and equipment (50.20%), interactive media (14.29%), and software (9.74%). The expense ratio is 0.56%, with quarterly rebalancing on the second Friday of March, June, September, and December. As a non-diversified thematic ETF, IGPT offers global exposure (79% U.S.) sensitive to tech innovation cycles.
The VanEck Semiconductor ETF (SMH) passively tracks the MVIS US Listed Semiconductor 25 Index, targeting the 25 largest U.S.-listed companies in semiconductor production and equipment. With 26 holdings, it is highly concentrated, top-10 comprising about 73% including NVDA (~17%), TSM (~11%), AVGO (8%), INTC (7%), and AMD (6%). Nearly 100% allocated to technology, primarily semiconductors. Expense ratio stands at 0.35%, with low turnover (~12%). This non-diversified structure amplifies exposure to chip demand from AI and computing, with liquidity supported by substantial scale.
The SP Funds S&P Global Technology ETF (SPTE) is a passive ETF tracking the S&P Global 1200 Shariah Information Technology (Sector) Capped Index, selecting large-cap global tech firms compliant with Shariah guidelines (e.g., excluding high debt or non-halal revenue). It features 102 holdings for diversification. Top positions: NVDA (11.18%), TSM (11.12%), AAPL (10.71%), MSFT (8.37%), and MediaTek (6.14%). Virtually 100% in information technology, with caps for balance. Expense ratio is 0.55%. Launched in late 2023, its ethical screens and global footprint distinguish it as a values-aligned tech play.
The technology sector, powering AI, cloud, and semiconductors, benefits from robust capital flows into data centers and chip fabrication amid macroeconomic tailwinds like moderating inflation and productivity gains. Earnings growth at leaders like NVDA underscores AI demand, while supply chain tensions from geopolitics (e.g., U.S.-China trade) pressure hardware. Regulatory scrutiny on big tech antitrust and data privacy adds risks, alongside cyclical downturns in semiconductors. Broader trends favor innovation, but sector risks include valuation stretches and interest rate sensitivity. These dynamics influence all three ETFs through shared exposures, amplified by thematic focuses.
In recent months, SMH has led with strong gains from semiconductor momentum, outpacing IGPT and SPTE due to concentrated bets on AI chip leaders amid hardware rallies. IGPT shows solid trend consistency, blending software resilience with semis for moderated volatility versus SMH's sharper drawdowns in corrections. SPTE, with broader tech and caps, exhibits lower relative volatility but trails in upside during semi surges. Differences stem from structures: SMH's focus heightens macro sensitivity (e.g., rates, exports); IGPT diversifies via media/software; SPTE's compliance tempers concentration. Over recent cycles, semis drive outperformance, though diversified profiles aid risk-adjusted stability.
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Tickeron’s AI favors SMH with moderate conviction (60-70% probability edge) due to its lowest expense ratio (0.35%), proven momentum stability in AI-driven cycles, and superior risk-adjusted positioning from scale and liquidity. While IGPT and SPTE offer stronger diversification, SMH's structural focus on high-growth semis aligns best with current tech tailwinds, balancing cost efficiency and exposure depth absent excessive speculation.
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| IGPT | SMH | SPTE | |
| Gain YTD | 63.545 | 72.149 | 34.487 |
| Net Assets | 1.2B | 71.9B | 195M |
| Total Expense Ratio | 0.56 | 0.35 | 0.55 |
| Turnover | 18.00 | 12.00 | 31.00 |
| Yield | 0.03 | 0.18 | 0.70 |
| Fund Existence | 21 years | 14 years | 3 years |
| IGPT | SMH | SPTE | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 82% | 4 days ago 85% | 4 days ago 81% |
| Stochastic ODDS (%) | 4 days ago 87% | 4 days ago 90% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 82% | 4 days ago 88% | 4 days ago 82% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 84% | 4 days ago 76% |
| TrendWeek ODDS (%) | 4 days ago 88% | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 88% | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 90% | 14 days ago 90% |
| Declines ODDS (%) | 6 days ago 85% | 6 days ago 82% | 6 days ago 74% |
| BollingerBands ODDS (%) | 4 days ago 78% | 4 days ago 81% | 4 days ago 83% |
| Aroon ODDS (%) | 4 days ago 88% | 4 days ago 90% | 4 days ago 90% |
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| MFs / NAME | Price $ | Chg $ | Chg % |
| SVACX | 7.07 | 0.06 | +0.86% |
| Federated Hermes Strategic Value Div C | |||
| GMRIX | 15.88 | 0.12 | +0.76% |
| Nationwide Small Cap Index R6 | |||
| OGIYX | 59.03 | 0.41 | +0.70% |
| Invesco Global Opportunities Y | |||
| LYFIX | 16.56 | 0.04 | +0.24% |
| AlphaCentric Life Sciences & Hlthcare I | |||
| BCSFX | 21.22 | -0.16 | -0.75% |
| Brown Capital Mgmt Intl Sm Co Instl | |||
A.I.dvisor indicates that over the last year, IGPT has been closely correlated with MU. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if IGPT jumps, then MU could also see price increases.
| Ticker / NAME | Correlation To IGPT | 1D Price Change % | ||
|---|---|---|---|---|
| IGPT | 100% | +0.39% | ||
| MU - IGPT | 80% Closely correlated | -1.43% | ||
| AMD - IGPT | 72% Closely correlated | +4.73% | ||
| WDC - IGPT | 65% Loosely correlated | +6.35% | ||
| NVDA - IGPT | 61% Loosely correlated | +0.16% | ||
| ARM - IGPT | 61% Loosely correlated | +11.27% | ||
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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 86% 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% | +1.72% | ||
| LRCX - SMH | 86% Closely correlated | +1.18% | ||
| AMAT - SMH | 83% Closely correlated | +2.64% | ||
| KLAC - SMH | 83% Closely correlated | +5.55% | ||
| ASML - SMH | 80% Closely correlated | -1.89% | ||
| TSM - SMH | 80% Closely correlated | +0.68% | ||
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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 80% 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% | -0.40% | ||
| TSM - SPTE | 80% Closely correlated | +0.68% | ||
| LRCX - SPTE | 75% Closely correlated | +1.18% | ||
| ASML - SPTE | 74% Closely correlated | -1.89% | ||
| KLAC - SPTE | 71% Closely correlated | +5.55% | ||
| AMAT - SPTE | 71% Closely correlated | +2.64% | ||
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