Comparing VanEck Semiconductor ETF (SMH) and ProShares Ultra Semiconductors (USD) highlights key choices in semiconductor sector investing amid surging AI demand. SMH delivers straightforward, passive access to top U.S.-listed chipmakers, ideal for capturing long-term industry growth. USD, a leveraged fund, aims for twice the daily performance of a similar benchmark, appealing to tactical traders seeking amplified gains during bullish cycles. These ETFs do not compete directly but offer alternative strategies within the high-growth semiconductor space, where capital flows are driven by AI infrastructure buildouts and supply chain shifts. Investors weigh SMH's cost efficiency and stability against USD's higher risk-reward profile in this dynamic ETF comparison.
The VanEck Semiconductor ETF (SMH) is a passively managed fund that seeks to replicate the MVIS US Listed Semiconductor 25 Index, tracking the performance of the 25 largest and most liquid U.S.-listed semiconductor companies involved in production and equipment. It holds approximately 26 stocks, with top holdings including NVDA (19.67%), TSM (11.73%), AVGO (7.81%), ASML (5.01%), and AMD (4.77%). The top 10 account for over 72% of assets, reflecting market-cap weighting.
Sector allocation is 100% technology, focused on semiconductors. The expense ratio is a competitive 0.35%. As a non-leveraged, physically replicated ETF, SMH emphasizes liquidity through high-volume holdings and quarterly index rebalancing based on market cap and trading volume. Its structure suits investors seeking pure sector exposure without daily leverage complications, with strong average daily volume supporting robust liquidity.
ProShares Ultra Semiconductors (USD) is an actively managed, leveraged ETF targeting 2x the daily performance of the Dow Jones U.S. Semiconductors Index, which measures U.S. semiconductor sub-sector stocks. It holds around 35-48 positions, including swaps and cash equivalents like money market ETFs, with underlying index top holdings led by NVDA (~51%), AVGO (17.67%), Micron (4.58%), AMD (3.99%), and Applied Materials (3.27%). Top exposures exceed 100% due to leverage.
Sector allocation remains 100% semiconductors within technology. The expense ratio is 0.95%. As a geared fund using derivatives for daily 2x leverage, it resets exposure each day, leading to compounding effects over longer holds. It rebalances daily to maintain leverage, with high trading volume indicating good liquidity for short-term strategies but warnings on volatility decay for extended periods.
The semiconductor sector thrives in 2026 amid explosive AI demand, with global sales projected to hit $975 billion, driven by generative AI chips nearing $500 billion in revenue. Catalysts include massive capex for AI infrastructure, data centers, and high-bandwidth memory, straining supply chains and boosting prices. Capital flows favor leaders in advanced nodes, while U.S. CHIPS Act subsidies expand domestic capacity.
Macro drivers like interest rate stabilization support tech spending, but risks loom from U.S.-China trade tensions, export controls on advanced chips, and geopolitical strains concentrating 75% of capacity in East Asia. Regulatory pushes for supply chain resilience and seismic vulnerabilities heighten focus on diversified production. These dynamics underscore semiconductors' role in ETF sector exposure, balancing growth with volatility.
In recent market cycles, SMH has delivered steady gains tied to semiconductor uptrends, benefiting from consistent AI momentum and earnings strength in top holdings like NVDA and TSM. Its unleveraged structure yields lower volatility, making it resilient during sector rotations away from tech.
USD, with 2x leverage, has amplified upside in bullish phases but shown exaggerated drawdowns amid corrections, as seen in prior volatility spikes. Relative positioning favors SMH for trend consistency over months, while USD excels in short, sharp rallies driven by chip demand surges or positive macro shifts like easing rates. Both exhibit high correlation, but USD's beta near 2 heightens sensitivity to interest rate expectations, commodity trends in raw materials, and geopolitical developments impacting supply.
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Tickeron’s AI favors SMH over USD in the current environment. SMH's lower expense ratio, broader diversification within semiconductors, and absence of leverage decay provide structural strength for sustained AI-driven trends. USD's higher costs and volatility suit tactical plays but lag in risk-adjusted positioning amid ongoing geopolitical risks and sector rotations. Probabilistically, SMH offers superior long-term trend consistency at 65-70% confidence based on historical sector momentum.
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| SMH | USD | SMH / USD | |
| Gain YTD | 58.190 | 69.077 | 84% |
| Net Assets | 71.7B | 3.18B | 2,252% |
| Total Expense Ratio | 0.35 | 0.95 | 37% |
| Turnover | 12.00 | 205.00 | 6% |
| Yield | 0.18 | 0.24 | 78% |
| Fund Existence | 14 years | 19 years | - |
| SMH | USD | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 81% | 2 days ago 76% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 89% |
| Momentum ODDS (%) | N/A | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 2 days ago 82% | 2 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BWX | 21.74 | -0.19 | -0.87% |
| State Street® SPDR® Blmbg Intl Trs BdETF | |||
| FMF | 51.05 | -0.66 | -1.28% |
| First Trust Managed Future Strategy ETF | |||
| NDAA | 23.50 | -0.65 | -2.67% |
| Ned Davis Research 360 Dyn Allc ETF | |||
| BLCN | 26.27 | -0.83 | -3.05% |
| Siren Nasdaq NexGen Economy ETF | |||
| NUGY | 14.59 | -0.52 | -3.44% |
| Graniteshares YieldBOOST Gold Miners ETF | |||
A.I.dvisor indicates that over the last year, USD has been loosely correlated with NVDA. These tickers have moved in lockstep 43% of the time. This A.I.-generated data suggests there is some statistical probability that if USD jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To USD | 1D Price Change % | ||
|---|---|---|---|---|
| USD | 100% | -16.84% | ||
| NVDA - USD | 43% Loosely correlated | -6.20% | ||
| AVGO - USD | 43% Loosely correlated | -7.92% | ||
| MU - USD | 39% Loosely correlated | -13.25% | ||
| RMBS - USD | 39% Loosely correlated | -14.21% | ||
| SMTC - USD | 38% Loosely correlated | -10.92% | ||
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