Strive U.S. Semiconductor ETF (SHOC) and VanEck Semiconductor ETF (SMH) target the same core theme of semiconductor innovation and production. They do not compete directly with broad market funds but serve as specialized vehicles for investors seeking targeted exposure to this high-growth industry. The comparison highlights differences in index methodology, geographic emphasis, and cost structures that may influence suitability depending on investor preferences for concentration, liquidity, and governance considerations within the semiconductor sector.
Strive U.S. Semiconductor ETF (SHOC) is a passively managed exchange-traded fund that seeks to track the performance of the Bloomberg US Listed Semiconductors Select Total Return Index. The fund holds approximately 30 to 32 securities, providing exposure to U.S.-listed companies primarily engaged in semiconductor design, manufacturing, and related equipment. Top holdings typically include NVIDIA Corporation (NVDA), Micron Technology Inc. (MU), Broadcom Inc. (AVGO), Applied Materials Inc. (AMAT), and Advanced Micro Devices Inc. (AMD), with the top 10 positions accounting for roughly 75-78% of assets. Sector allocation is 100% technology, focused exclusively on semiconductors. The expense ratio stands at 0.40%. SHOC employs a market-capitalization-weighted approach with periodic rebalancing and incorporates proxy voting and management engagement to promote long-term value creation. It is structured as a non-diversified fund under U.S. Securities and Exchange Commission (SEC) guidelines. I also checked comparable holdings using Tickeron’s AI Screener to see how the fund stacks up against peers.
VanEck Semiconductor ETF (SMH) is a passively managed exchange-traded fund designed to replicate the MVIS US Listed Semiconductor 25 Index before fees and expenses. The fund typically holds 25 to 26 securities representing leading U.S.-listed semiconductor producers and equipment makers. Prominent holdings often feature NVIDIA Corporation (NVDA), Taiwan Semiconductor Manufacturing Company (TSM), Micron Technology Inc. (MU), Applied Materials Inc. (AMAT), and Advanced Micro Devices Inc. (AMD), with the top 10 holdings comprising approximately 70% of assets. Like SHOC, sector allocation is 100% technology. The expense ratio is 0.35%. SMH uses a market-capitalization-weighted methodology with liquidity screens and rebalances according to index rules. The fund is classified as non-diversified and emphasizes highly liquid, large-capitalization companies within the semiconductor space.
The semiconductor industry remains central to global technological advancement, driven by demand for artificial intelligence (AI) accelerators, high-performance computing, and advanced manufacturing equipment. Capital expenditures by major chipmakers, supply chain resilience efforts, and ongoing innovation in process nodes continue to shape sector dynamics. Macroeconomic factors such as interest rate environments, trade policies, and geopolitical tensions in key manufacturing regions influence capital flows and production timelines. Regulatory developments around export controls and technology leadership add layers of complexity. Both ETFs position investors to capture these thematic trends while exposing them to concentration risks inherent in a capital-intensive, cyclical industry.
In recent market cycles, both ETFs have demonstrated strong sensitivity to semiconductor earnings seasons and AI-related capital spending announcements. SHOC's more U.S.-centric holdings may result in slightly different volatility profiles compared to SMH, which incorporates additional exposure to foundry operations through holdings such as Taiwan Semiconductor Manufacturing Company (TSM). Relative positioning often reflects differences in top-weight concentration and the inclusion of equipment versus pure-play design firms. During periods of sector rotation driven by interest rate expectations or inventory adjustments, the funds have shown correlated but not identical responses based on their index compositions. Investors evaluating relative positioning should consider how these structural nuances affect exposure to specific sub-themes like memory chips, logic semiconductors, and fabrication equipment. One thing that stands out here is how the inclusion of TSM in SMH can subtly shift exposure during global supply chain shifts.
Based on observable structural factors including marginally lower expense ratio, established liquidity profile, and balanced index construction, Tickeron’s AI would currently assign a probabilistic edge to VanEck Semiconductor ETF (SMH) for investors prioritizing cost efficiency and established market presence within the semiconductor theme. SHOC remains competitive due to its governance overlay and U.S.-focused mandate, making either fund suitable depending on specific allocation preferences and risk tolerance.
In my own research process, I frequently use Tickeron’s AI Screener to filter semiconductor-related ETFs and stocks by technical patterns, fundamentals, and performance metrics. It streamlines comparisons like the one between SHOC and SMH, helping identify relevant opportunities without manual effort. This approach has become a standard part of how I evaluate thematic funds.
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.
Financial analyst and market blogger with expertise in equity research, fundamental analysis, and macroeconomic trends. I regularly publish coverage on individual stocks, ETFs, and sector developments — combining rigorous financial analysis with clear, engaging writing for a broad investment audience.
Be on the lookout for a price bounce soon.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where SMH's RSI Indicator exited the oversold zone, of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for SMH just turned positive on August 05, 2026. Looking at past instances where SMH's MACD turned positive, the stock continued to rise in of 50 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in of 366 cases, the price rose further within the following month. The odds of a continued upward trend are .
SMH may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on August 18, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SMH as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
SMH moved below its 50-day moving average on August 18, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SMH declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for SMH entered a downward trend on August 07, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology