Investors seeking semiconductor exposure face a dynamic choice among FTXL, SMH, and SOXX, three leading ETFs targeting the booming chip sector amid surging AI infrastructure demand and digital transformation. While all provide concentrated access to U.S.-listed semiconductor firms, they diverge strategically: FTXL uses a smart beta (rules-based factor weighting on liquidity, value, volatility, and growth) approach via the Nasdaq US Smart Semiconductor Index, whereas SMH tracks the market-cap weighted MVIS US Listed Semiconductor 25 Index (including ADRs like Taiwan Semiconductor), and SOXX follows the NYSE Semiconductor Index with modified caps on top weights for reduced concentration. These variations offer tiered risk profiles—FTXL emphasizes factor diversification, SMH prioritizes largest players, and SOXX balances broad U.S. coverage—making them relevant for navigating sector volatility driven by macro cycles and tech innovation.
The First Trust Nasdaq Semiconductor ETF (FTXL) seeks investment results tracking the Nasdaq US Smart Semiconductor Index, a smart beta benchmark selecting the most liquid U.S. semiconductor companies and weighting them by factors including value, volatility, and growth. It holds approximately 35 securities, with top holdings typically featuring Intel (INTC) (~12-14%), Micron Technology (MU) (~7-9%), QUALCOMM (QCOM) (~7-8%), Broadcom (AVGO) (~7%), and NVIDIA (NVDA) (~6-7%), comprising ~64% of assets. Nearly 100% allocated to technology (semiconductors), the expense ratio is 0.60%. As a non-diversified, passive smart beta ETF, it rebalances periodically to maintain factor exposures, distinguishing it from pure cap-weighted peers by potentially mitigating mega-cap dominance.
The VanEck Semiconductor ETF (SMH) aims to replicate the MVIS US Listed Semiconductor 25 Index, a market-cap weighted benchmark of the 25 largest and most liquid U.S.-exchange-listed semiconductor firms (including depositary receipts). It maintains ~26 holdings, led by NVIDIA (NVDA) (~18%), Taiwan Semiconductor (TSM) (~10-11%), Broadcom (AVGO) (~8%), Intel (INTC) (~7-8%), and Advanced Micro Devices (AMD) (~6-7%), accounting for ~72% of the portfolio. Fully invested in technology (semiconductors), the expense ratio stands at 0.35%. This non-diversified passive ETF emphasizes production and equipment leaders, with quarterly rebalancing and inclusion of international names via ADRs for broader global tilt.
The iShares Semiconductor ETF (SOXX) tracks the NYSE Semiconductor Index, comprising ~30 U.S.-listed semiconductor equities under a modified market-cap weighting scheme with caps (e.g., top five at ~8%, others ~4%, ADRs limited). Top holdings include Micron Technology (MU) (~9-10%), Advanced Micro Devices (AMD) (~9%), Intel (INTC) (~7%), Broadcom (AVGO) (~7-8%), and NVIDIA (NVDA) (~6-7%), totaling ~60%. Sector breakdown: semiconductors (~81%), equipment (~19%). Expense ratio is 0.34%. As a passive, non-diversified fund, it quarterly rebalances to enforce caps, promoting relative diversification within the pure-play U.S. semiconductor space.
The semiconductor sector thrives amid explosive AI demand, with global sales projected to exceed $975 billion in 2026 (up 26% YoY), driven by generative AI chips nearing $500 billion, data center expansions, and memory shortages ("memflation"). Capital flows heavily into AI infrastructure, with hyperscalers boosting spending >50%, alongside automotive electrification and high-performance computing. Regulatory shifts like the U.S. CHIPS Act (subsidies for domestic fabs) and similar policies spur ~$1.5 trillion in global fab investments through 2030, diversifying supply chains. Macro drivers include robust earnings growth (e.g., logic/memory parity), but risks loom from geopolitical tensions (U.S.-China trade friction, Taiwan dependencies), resource constraints, and economic volatility impacting capex cycles.
In recent months through early 2026, FTXL has shown strong trend consistency with ~75-85% YTD gains, benefiting from factor tilts toward value/momentum names like Intel and Micron amid broader sector rotation, exhibiting shallower drawdowns and moderate volatility due to ~35 holdings. SMH delivered robust ~55-60% advances but higher relative volatility from ~72% top-10 concentration (NVDA/TSM sensitivity), amplifying upside in AI rallies yet deepening corrections. SOXX posted steady ~60-70% returns with balanced volatility, its weight caps curbing mega-cap swings while capturing U.S.-centric trends; lower concentration risk enhances stability versus SMH. Performance divergences stem from FTXL's smart beta diversification, SMH's international mega-cap bias, and SOXX's capped domestic exposure, with all sensitive to AI capex and rates but varying in macro responsiveness.
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. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes. Explore it today to uncover semiconductor leaders like those in FTXL, SMH, and SOXX.
Tickeron’s AI favors SOXX with 65-75% probabilistic edge, owing to its optimal blend of cost efficiency (lowest 0.34% expense ratio), balanced diversification (~30 holdings with caps mitigating concentration), U.S.-focused exposure aligning with CHIPS Act tailwinds, and stable momentum in recent cycles. While SMH excels in liquidity and mega-cap upside, and FTXL adds smart beta resilience, SOXX's risk-adjusted positioning suits the current AI-driven yet volatile environment.
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| FTXL | SMH | SOXX | |
| Gain YTD | 88.676 | 58.529 | 79.925 |
| Net Assets | 2.48B | 68B | 40B |
| Total Expense Ratio | 0.60 | 0.35 | 0.34 |
| Turnover | 19.00 | 12.00 | 27.00 |
| Yield | 0.13 | 0.18 | 0.29 |
| Fund Existence | 10 years | 14 years | 25 years |
| FTXL | SMH | SOXX | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 84% | 2 days ago 79% | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 78% | 2 days ago 86% | 2 days ago 82% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 86% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 9 days ago 88% | 9 days ago 90% | 9 days ago 89% |
| Declines ODDS (%) | 2 days ago 84% | 2 days ago 82% | 2 days ago 85% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 81% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HOII | 11.10 | N/A | N/A |
| REX HOOD Growth & Income ETF | |||
| VSDA | 55.98 | -0.22 | -0.39% |
| VictoryShares Dividend Accelerator ETF | |||
| JULZ | 44.33 | -0.52 | -1.16% |
| Trueshares Structured Outcome July ETF | |||
| ILCB | 100.66 | -1.48 | -1.45% |
| iShares Morningstar U.S. Equity ETF | |||
| KTUP | 8.09 | -0.42 | -4.94% |
| T-REX 2X Long KTOS Daily Target ETF | |||
A.I.dvisor indicates that over the last year, FTXL has been closely correlated with LRCX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTXL jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To FTXL | 1D Price Change % | ||
|---|---|---|---|---|
| FTXL | 100% | -3.46% | ||
| LRCX - FTXL | 85% Closely correlated | -1.64% | ||
| AMAT - FTXL | 82% Closely correlated | -0.44% | ||
| MPWR - FTXL | 81% Closely correlated | -3.85% | ||
| KLAC - FTXL | 80% Closely correlated | -0.17% | ||
| MU - FTXL | 78% Closely correlated | -4.70% | ||
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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% | -3.40% | ||
| LRCX - SMH | 86% Closely correlated | -1.64% | ||
| AMAT - SMH | 83% Closely correlated | -0.44% | ||
| KLAC - SMH | 82% Closely correlated | -0.17% | ||
| TSM - SMH | 80% Closely correlated | -4.48% | ||
| ASML - SMH | 79% Closely correlated | -2.45% | ||
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