Investors seeking targeted exposure to the semiconductor industry often compare specialized ETFs such as First Trust Nasdaq Semiconductor ETF (FTXL) and VanEck Semiconductor ETF (SMH). These funds do not compete directly with broad-market offerings but instead provide alternative strategies within the same thematic sector. FTXL utilizes a smart-beta approach, while SMH follows a traditional market-cap-weighted methodology, allowing investors to select based on preferences for factor exposure versus concentrated leadership positioning.
First Trust Nasdaq Semiconductor ETF (FTXL) seeks to track the performance of the Nasdaq US Smart Semiconductor Index. This index employs a rules-based, smart-beta methodology that selects and weights semiconductor companies according to factors including value, volatility, and growth. The ETF holds approximately 35 securities and maintains an expense ratio of 0.60%. Top holdings typically include a mix of established players such as Intel Corporation (INTC), Micron Technology Inc. (MU), Broadcom Inc. (AVGO), Marvell Technology Inc. (MRVL), NVIDIA Corporation (NVDA), Advanced Micro Devices Inc. (AMD), and Qualcomm Inc. (QCOM). Sector allocation centers exclusively on technology, with emphasis on semiconductor equipment and production. As a passively managed, factor-tilted product, FTXL rebalances periodically according to index rules, offering investors a differentiated approach to semiconductor exposure compared with pure market-cap strategies.
VanEck Semiconductor ETF (SMH) aims to replicate the MVIS US Listed Semiconductor 25 Index before fees and expenses. This market-capitalization-weighted index focuses on the 25 largest and most liquid U.S.-listed companies involved in semiconductor production and equipment. The ETF holds 26 securities and carries an expense ratio of 0.35%. Holdings feature significant concentration in leading names, with NVIDIA Corporation (NVDA) often representing over 20% of assets, followed by Taiwan Semiconductor Manufacturing Company (TSM) and other major players. Allocations remain within the technology sector. SMH operates as a passive, index-tracking vehicle with periodic rebalancing to maintain index alignment, providing investors with concentrated exposure to semiconductor industry leaders.
The semiconductor sector continues to benefit from long-term demand drivers including artificial intelligence development, data center expansion, automotive electrification, and advanced computing applications. Capital expenditure by major technology companies supports equipment and chip demand, while supply-chain resilience and geopolitical factors influence production dynamics. Regulatory developments around export controls and international trade also shape industry trajectories. Both ETFs operate within this environment, where innovation cycles and macroeconomic conditions affect capital flows into semiconductor-related equities.
In recent market cycles, the concentrated structure of VanEck Semiconductor ETF (SMH) has aligned closely with momentum in top holdings, contributing to distinct performance patterns relative to broader sector movements. First Trust Nasdaq Semiconductor ETF (FTXL), with its factor-based weighting, has demonstrated different sensitivity to volatility and value rotations within the semiconductor space. Relative positioning reflects these structural distinctions, with SMH typically showing higher sensitivity to leadership-driven rallies and FTXL offering more balanced participation across holdings. Liquidity profiles support efficient trading for both funds, though concentration levels influence volatility characteristics over time.
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, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors interested in semiconductor ETFs and related opportunities may explore the tool for additional insights.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favorability to VanEck Semiconductor ETF (SMH) due to its lower expense ratio, established liquidity profile, and alignment with sector leadership momentum. First Trust Nasdaq Semiconductor ETF (FTXL) presents a compelling alternative for investors prioritizing factor diversification and broader holdings distribution within the semiconductor theme.
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| FTXL | SMH | FTXL / SMH | |
| Gain YTD | 75.025 | 55.755 | 135% |
| Net Assets | 1.31B | 68.7B | 2% |
| Total Expense Ratio | 0.60 | 0.35 | 171% |
| Turnover | 43.00 | 12.00 | 358% |
| Yield | 0.11 | 0.20 | 56% |
| Fund Existence | 10 years | 15 years | - |
| FTXL | SMH | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 77% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| Momentum ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 86% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 7 days ago 88% | 8 days ago 90% |
| Declines ODDS (%) | 15 days ago 84% | 23 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 88% |
A.I.dvisor indicates that over the last year, FTXL has been closely correlated with LRCX. These tickers have moved in lockstep 88% 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% | -1.87% | ||
| LRCX - FTXL | 88% Closely correlated | -6.33% | ||
| AMAT - FTXL | 84% Closely correlated | -3.53% | ||
| KLAC - FTXL | 84% Closely correlated | -3.86% | ||
| MU - FTXL | 83% Closely correlated | -0.39% | ||
| MPWR - FTXL | 82% Closely correlated | -2.48% | ||
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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 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% | -1.55% | ||
| LRCX - SMH | 89% Closely correlated | -6.33% | ||
| KLAC - SMH | 85% Closely correlated | -3.86% | ||
| AMAT - SMH | 85% Closely correlated | -3.53% | ||
| ASML - SMH | 84% Closely correlated | -2.84% | ||
| MU - SMH | 81% Closely correlated | -0.39% | ||
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