Amid surging demand for advanced chips powering artificial intelligence (AI) and data centers, semiconductor ETFs like First Trust Nasdaq Semiconductor ETF (FTXL) and VanEck Semiconductor ETF (SMH) provide targeted exposure to this high-growth sector. These passive funds track distinct indices, offering investors alternative strategies within the same industry: FTXL's factor-based approach emphasizes smart selection across a wider array of US semiconductor firms, while SMH concentrates on the largest, most liquid players. Comparing them reveals trade-offs in diversification, costs, and concentration, helping investors align with sector momentum driven by hyperscaler capital expenditures and geopolitical supply chain shifts.
The First Trust Nasdaq Semiconductor ETF (FTXL) seeks to mirror the Nasdaq US Smart Semiconductor Index, a modified factor-weighted benchmark designed for exposure to US semiconductor companies selected by liquidity and market capitalization rankings. This passive, smart beta strategy (which uses rules-based factors beyond pure market cap) holds approximately 35 stocks, promoting greater diversification than cap-weighted peers. Top holdings typically include INTC (12-14%), MU (7-9%), AVGO (7-8%), QCOM (~7%), NVDA (~6-7%), MRVL (~6%), AMD (~5%), and others like ON, with the top 10 accounting for ~65% of assets. Sector allocation is overwhelmingly technology (~96-99%), focused on semiconductors and related equipment. The expense ratio stands at 0.60%, with quarterly rebalancing to maintain factor tilts. FTXL distinguishes itself through its emphasis on quality and momentum within the sector.
The VanEck Semiconductor ETF (SMH) aims to replicate the MVIS US Listed Semiconductor 25 Index, a market-cap-weighted index tracking the 25 largest and most liquid US-listed companies involved in semiconductor production and equipment, including ADRs (American Depositary Receipts). This passive fund holds ~25-26 stocks, resulting in high concentration. Leading positions feature NVDA (~18%), TSM (~10-11%), AVGO (~8%), INTC (~7-8%), AMD (~5-7%), and names like ASML, with top 10 weights exceeding 70%. Allocation is nearly 100% to technology/semiconductors. It charges a competitive 0.35% expense ratio and rebalances periodically to reflect liquidity and size criteria. SMH's structure favors industry giants, enhancing exposure to market leaders.
The semiconductor sector thrives amid explosive AI infrastructure demand, with global revenues projected to surpass $1 trillion in 2026, up over 50% year-over-year, propelled by hyperscaler capex nearing $600 billion for data centers, high-bandwidth memory, and logic chips. Key catalysts include AI accelerators from leaders like NVDA and memory surges from MU. Capital flows heavily favor ETFs like SMH and FTXL, reflecting $5+ billion monthly inflows into semis funds. The CHIPS and Science Act (CHIPS Act, a US law providing subsidies for domestic manufacturing) has spurred over $640 billion in supply chain investments across 30 states, bolstering onshoring amid US-China tensions. Risks encompass cyclicality, "memflation" (memory price inflation), geopolitical export controls, and power constraints for AI buildouts, yet macro tailwinds from cloud expansion persist.
In recent market cycles, SMH has demonstrated stronger relative positioning, benefiting from outsized gains in mega-cap leaders like NVDA amid AI hype and hyperscaler spending surges, often outpacing FTXL by wide margins over multi-year horizons. FTXL, with its factor tilt, has shown resilience in broader rallies but lagged during mega-cap rotations due to heavier exposure to laggards like INTC. Both exhibit high volatility tied to sector earnings cycles, interest rate sensitivity (as capex-intensive), and commodity trends in rare earths. SMH's concentration amplifies upside in momentum-driven environments, while FTXL's diversification tempers drawdowns; recent weeks highlight SMH's edge in AI-fueled advances, though overlap (~60%) limits differentiation.
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Tickeron’s AI currently favors SMH with moderate conviction (~65% probability edge), owing to its lower expense ratio, superior liquidity, precise tracking of top-tier semiconductor momentum leaders, and stronger trend consistency in recent AI-driven cycles. While FTXL's diversification mitigates concentration risk, SMH's cost efficiency and positioning in high-conviction growth areas like AI chips provide a structural advantage for sector exposure.
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| FTXL | SMH | FTXL / SMH | |
| Gain YTD | 81.079 | 54.483 | 149% |
| Net Assets | 2.27B | 63B | 4% |
| Total Expense Ratio | 0.60 | 0.35 | 171% |
| Turnover | 19.00 | 12.00 | 158% |
| Yield | 0.16 | 0.22 | 75% |
| Fund Existence | 10 years | 14 years | - |
| FTXL | SMH | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 82% |
| Stochastic ODDS (%) | N/A | N/A |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 3 days ago 85% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 7 days ago 88% | 4 days ago 90% |
| Declines ODDS (%) | 3 days ago 83% | 20 days ago 83% |
| BollingerBands ODDS (%) | 3 days ago 89% | 3 days ago 81% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MBSF | 25.67 | 0.06 | +0.22% |
| Regan Floating Rate MBS ETF | |||
| TMSF | 50.08 | N/A | N/A |
| T. Rowe Price Multi-Sector Income ETF | |||
| FJUN | 59.47 | -0.04 | -0.06% |
| FT Vest US Equity Buffer ETF Jun | |||
| ZJAN | 27.88 | -0.03 | -0.10% |
| Innovator Equity Defined Protection ETF - 1 Yr January | |||
| HYSA | 14.87 | -0.03 | -0.20% |
| BondBloxx USD High Yld Bd Sect Rot ETF | |||
A.I.dvisor indicates that over the last year, FTXL has been closely correlated with LRCX. These tickers have moved in lockstep 84% 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% | -3.81% | ||
| LRCX - FTXL | 84% Closely correlated | -4.82% | ||
| AMAT - FTXL | 82% Closely correlated | -0.89% | ||
| MPWR - FTXL | 79% Closely correlated | -3.96% | ||
| KLAC - FTXL | 79% Closely correlated | -4.68% | ||
| MU - FTXL | 78% Closely correlated | -6.62% | ||
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