Investors seeking semiconductor exposure face a choice between two specialized exchange-traded funds (ETFs) that target the same industry but differ in structure and implementation. Xtrackers Semiconductor Select Equity ETF (CHPS) and VanEck Semiconductor ETF (SMH) both provide access to companies involved in chip design, manufacturing, and equipment, an area benefiting from artificial intelligence (AI) demand and technological advancement. They do not compete directly as identical products; instead, they represent alternative strategies within the semiconductor sector, allowing investors to select based on preferences for diversification, cost, and concentration.
Xtrackers Semiconductor Select Equity ETF (CHPS) is a passive ETF that seeks to track the performance of the Solactive Semiconductor Focus Index before fees and expenses. The index selects companies with business operations in the semiconductor industry that also meet certain sustainability criteria. The fund holds approximately 55-65 securities, offering broader exposure than many peers. Top holdings typically include NVIDIA Corporation (NVDA), ASML Holding NV, Micron Technology (MU), Lam Research Corporation (LRCX), Broadcom Inc. (AVGO), Taiwan Semiconductor Manufacturing Company (TSM), Advanced Micro Devices (AMD), Texas Instruments (TXN), Applied Materials (AMAT), and KLA Corporation (KLAC). Sector allocation is overwhelmingly concentrated in information technology, specifically semiconductors. CHPS features a net expense ratio of 0.15% and employs a full replication or optimized sampling approach with periodic rebalancing aligned to the index.
VanEck Semiconductor ETF (SMH) is a passive ETF designed to replicate the MVIS US Listed Semiconductor 25 Index before fees and expenses. This modified market-capitalization-weighted index focuses on the 25 largest, most liquid U.S.-listed semiconductor companies. SMH maintains a highly concentrated portfolio of approximately 25 holdings. Top positions are dominated by NVIDIA Corporation (NVDA), Taiwan Semiconductor Manufacturing Company (TSM), Broadcom Inc. (AVGO), Advanced Micro Devices (AMD), Micron Technology (MU), ASML Holding NV, Applied Materials (AMAT), and Texas Instruments (TXN). Allocations remain centered in the information technology sector with an emphasis on semiconductor production and equipment. The fund carries a net expense ratio of 0.35% and rebalances according to the index methodology to maintain liquidity and size criteria.
The semiconductor sector continues to benefit from structural demand driven by artificial intelligence, data center expansion, and advanced computing applications. Capital flows into chip-related equities have accelerated in recent market cycles amid robust earnings from leading manufacturers. Macroeconomic factors such as interest rate expectations and global supply chain developments influence the environment, while regulatory scrutiny around technology exports and geopolitical tensions introduce ongoing risks. Both ETFs operate within this high-growth yet cyclical industry, where technological innovation and capital expenditure by hyperscalers serve as primary catalysts.
In recent weeks and months, semiconductor ETFs have exhibited sensitivity to earnings reports from key holdings and shifts in AI-related capital spending. CHPS’s broader holdings base has provided relatively smoother exposure during sector rotations compared to SMH’s concentrated approach, which can amplify moves tied to the largest names. Both funds have benefited from positive momentum in memory and logic chip demand, though SMH’s higher beta profile has led to greater volatility in response to macroeconomic shifts such as interest rate expectations. Relative positioning favors CHPS for investors prioritizing cost efficiency and diversification, while SMH suits those seeking leveraged participation in top-tier semiconductor leaders.
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 comparing ETFs like CHPS and SMH may find the tool useful for refining ideas aligned with their criteria.
Based on observable structural factors including lower expense ratio, greater diversification across holdings, and comparable thematic alignment, Tickeron’s AI would currently assign a higher probability of preference to CHPS for investors seeking balanced semiconductor exposure with efficiency advantages. SMH remains compelling for those prioritizing concentrated leadership in the sector, though its higher cost and concentration warrant consideration of risk tolerance.
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| CHPS | SMH | CHPS / SMH | |
| Gain YTD | 81.523 | 59.467 | 137% |
| Net Assets | 115M | 70.5B | 0% |
| Total Expense Ratio | 0.15 | 0.35 | 43% |
| Turnover | 24.00 | 12.00 | 200% |
| Yield | 0.38 | 0.20 | 193% |
| Fund Existence | 3 years | 15 years | - |
| CHPS | SMH | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 84% |
| Momentum ODDS (%) | 2 days ago 80% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| Advances ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Declines ODDS (%) | 23 days ago 75% | 18 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 46% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, CHPS 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 CHPS jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To CHPS | 1D Price Change % | ||
|---|---|---|---|---|
| CHPS | 100% | +0.10% | ||
| LRCX - CHPS | 88% Closely correlated | -1.43% | ||
| AMAT - CHPS | 85% Closely correlated | -0.83% | ||
| KLAC - CHPS | 83% Closely correlated | -3.21% | ||
| MU - CHPS | 81% Closely correlated | +2.75% | ||
| NVMI - CHPS | 81% Closely correlated | -0.86% | ||
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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% | +0.10% | ||
| LRCX - SMH | 89% Closely correlated | -1.43% | ||
| AMAT - SMH | 86% Closely correlated | -0.83% | ||
| KLAC - SMH | 85% Closely correlated | -3.21% | ||
| ASML - SMH | 83% Closely correlated | -2.00% | ||
| MU - SMH | 80% Closely correlated | +2.75% | ||
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