IGPT
Price
$98.84
Change
-$4.10 (-3.98%)
Updated
Jun 26 closing price
Net Assets
1.3B
Intraday BUY SELL Signals
SMH
Price
$611.61
Change
-$25.27 (-3.97%)
Updated
Jun 26 closing price
Net Assets
72.94B
Intraday BUY SELL Signals
SPTE
Price
$46.00
Change
-$1.01 (-2.15%)
Updated
Jun 26 closing price
Net Assets
208.11M
Intraday BUY SELL Signals
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IGPT or SMH or SPTE

IGPT vs SMH vs SPTE Comparison Chart in %
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Which ETF would AI Choose? Invesco AI and Next Gen Software ETF (IGPT) vs. VanEck Semiconductor ETF (SMH) vs. SP Funds S&P Global Technology ETF (SPTE)

Key Takeaways

  • IGPT targets next-generation software and AI development with 101 holdings, offering broader diversification across semiconductors (50%) and interactive media (14%), at a 0.56% expense ratio.
  • SMH provides concentrated exposure to 25 U.S.-listed semiconductor leaders, emphasizing hardware production with top-10 holdings over 70% of assets and the lowest expense ratio at 0.35%.
  • SPTE delivers Shariah-compliant (adhering to Islamic financial principles) global technology access via 102 holdings, 100% in information technology, with a 0.55% expense ratio and ethical screening.
  • SMH exhibits higher concentration risk but superior cost efficiency; IGPT balances software and hardware; SPTE adds global and compliance diversification.
  • All three ETFs share heavy semiconductor overlap but differ in breadth, geographic reach, and structural constraints, influencing risk profiles in volatile tech cycles.
  • In recent market environments, semiconductor-heavy tilts have driven outperformance amid AI demand, though broader tech exposure mitigates drawdowns.

Introduction

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.

Invesco AI and Next Gen Software ETF (IGPT) Overview

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.

VanEck Semiconductor ETF (SMH) Overview

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.

SP Funds S&P Global Technology ETF (SPTE) Overview

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.

Industry and Thematic Landscape

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.

Performance and Positioning Comparison

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.

AI Screener

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 (market cap), technical indicators, price patterns, and performance metrics. It identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore it today to enhance your ETF research.

Tickeron AI Verdict

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.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SMH has more net assets: 72.9B vs. IGPT (1.3B) and SPTE (208M). SMH has a higher annual dividend yield than IGPT and SPTE: SMH (69.830) vs IGPT (66.201) and SPTE (30.809). IGPT was incepted earlier than SMH and SPTE: IGPT (21 years) vs SMH (15 years) and SPTE (3 years). SMH (0.35) has a lower expense ratio than SPTE (0.55) and IGPT (0.56). SPTE has a higher turnover IGPT (18.00) and SMH (12.00) vs IGPT (18.00) and SMH (12.00).
IGPTSMHSPTE
Gain YTD66.20169.83030.809
Net Assets1.3B72.9B208M
Total Expense Ratio0.560.350.55
Turnover18.0012.0031.00
Yield0.030.180.70
Fund Existence21 years15 years3 years
TECHNICAL ANALYSIS
Technical Analysis
IGPTSMHSPTE
RSI
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
63%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
85%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bullish Trend 2 days ago
84%
Bullish Trend 2 days ago
89%
Bearish Trend 2 days ago
89%
MACD
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
84%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
78%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
83%
Advances
ODDS (%)
Bullish Trend 6 days ago
90%
Bullish Trend 6 days ago
90%
Bullish Trend 6 days ago
90%
Declines
ODDS (%)
Bearish Trend 4 days ago
84%
Bearish Trend 4 days ago
82%
Bearish Trend 4 days ago
73%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
65%
Aroon
ODDS (%)
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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IGPT
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
SPTE
Daily Signal:
Gain/Loss:
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IGPT and

Correlation & Price change

A.I.dvisor indicates that over the last year, IGPT has been closely correlated with MU. These tickers have moved in lockstep 82% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To IGPT
1D Price
Change %
IGPT100%
-3.98%
MU - IGPT
82%
Closely correlated
-6.69%
AMD - IGPT
72%
Closely correlated
-2.06%
WDC - IGPT
65%
Loosely correlated
-13.17%
LSCC - IGPT
63%
Loosely correlated
-4.07%
NVDA - IGPT
61%
Loosely correlated
-1.64%
More

SMH and

Correlation & Price change

A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 87% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SMH
1D Price
Change %
SMH100%
-3.97%
LRCX - SMH
87%
Closely correlated
-5.66%
KLAC - SMH
84%
Closely correlated
-3.93%
AMAT - SMH
82%
Closely correlated
-6.16%
TSM - SMH
81%
Closely correlated
-0.61%
ASML - SMH
80%
Closely correlated
-2.53%
More

SPTE and

Correlation & Price change

A.I.dvisor indicates that over the last year, SPTE has been closely correlated with TSM. These tickers have moved in lockstep 82% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPTE
1D Price
Change %
SPTE100%
-2.15%
TSM - SPTE
82%
Closely correlated
-0.61%
LRCX - SPTE
76%
Closely correlated
-5.66%
ASML - SPTE
74%
Closely correlated
-2.53%
KLAC - SPTE
72%
Closely correlated
-3.93%
NVDA - SPTE
71%
Closely correlated
-1.64%
More