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The investment seeks daily investment results that correspond to two times (2x) the daily performance of the Dow Jones U... Show more

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A.I.Advisor
Aug 22, 2026

ProShares Ultra Semiconductors (USD) ETF Analysis: Leveraged Semiconductor Exposure in an AI-Driven Chip Cycle

Key Takeaways

  • USD is a leveraged exchange-traded fund (ETF) that seeks to deliver two times (2x) the daily return of the Dow Jones U.S. Semiconductors Index, amplifying both gains and losses in U.S. chip stocks.
  • The portfolio is effectively concentrated in the semiconductor and semiconductor-equipment sector, with Nvidia (NVDA) and Broadcom (AVGO) among its most influential equity holdings.
  • Over roughly the last 30 days, USD declined close to 9%, while the broader three-month trend showed a double-digit pullback from its early-quarter peak, driven by AI-demand sentiment and valuation repricing.
  • Because the fund resets its leverage daily, holding periods longer than a single day can produce returns that diverge meaningfully from 2x the index, especially in choppy markets.
  • Key forward-looking themes include artificial-intelligence capital spending, memory pricing, interest-rate expectations, and export-control policy.

ProShares Ultra Semiconductors (USD) Overview

ProShares Ultra Semiconductors is a passively managed, leveraged fund launched in 2007. Its investment objective is to produce daily returns, before fees and expenses, that correspond to two times (2x) the daily performance of the Dow Jones U.S. Semiconductors Index, a market-capitalization-weighted gauge of U.S. companies in the semiconductor subsector. The fund uses derivative instruments, principally swap agreements with major financial institutions, to obtain its leveraged exposure.

The portfolio is non-diversified and effectively concentrated in a single sector, with essentially all of its equity exposure allocated to semiconductors and semiconductor-equipment makers. Its largest equity holdings have historically included NVDA, AVGO, AMD, MU, AMAT, TXN, and QCOM. The fund carries a net expense ratio of 0.95% and manages roughly $3 billion in assets under management (AUM).

This single-sector, leveraged structure is central to understanding USD's behavior: when semiconductor equities rally, the fund can rise far faster than a conventional sector fund, but the same magnification applies on the downside, and daily rebalancing can erode returns during volatile, range-bound periods.

Industry and Thematic Landscape

The semiconductor industry continues to be driven by the artificial-intelligence (AI) build-out, which has fueled strong demand for high-performance graphics processing units, custom accelerators, networking silicon, and high-bandwidth memory. Hyperscale cloud providers have maintained elevated capital expenditures on data-center infrastructure, supporting revenue growth for leading chip designers and foundries. At the same time, the sector remains cyclical: memory pricing, smartphone and PC demand, and inventory levels across the supply chain all influence the earnings trajectory of the index's constituents.

The macroeconomic backdrop adds a second layer of influence. Semiconductor valuations are sensitive to interest-rate expectations, because higher discount rates pressure the long-duration cash flows of high-growth technology companies. Inflation data and central-bank policy guidance therefore ripple through chip-stock multiples. Regulatory considerations, including export controls on advanced semiconductors and equipment, also shape the competitive and geopolitical landscape for U.S. chipmakers.

Performance and Positioning Snapshot

USD's recent behavior has been characterized by elevated volatility rather than a smooth trend. Over approximately the last 30 days, the fund declined close to 9%, and over the broader three-month span it pulled back by a low-double-digit percentage from levels reached earlier in the period, when shares traded above $113. This repricing coincided with a cooling of enthusiasm around richly valued AI-linked semiconductor names, as investors weighed the durability of AI capital spending against stretched valuations.

The fund's concentration in mega-cap chip leaders means individual stock moves translate directly into portfolio performance. Nvidia and Broadcom, in particular, carry outsized weight and have historically been the largest single drivers of USD's daily returns, while memory and equipment names add cyclicality. Because USD compounds leverage daily, the path of the index matters as much as its endpoint: the sharp swings seen in recent months have amplified the gap between the fund's realized return and a simple 2x multiple of the index's cumulative move.

AI Screener

For investors seeking a more systematic way to identify opportunities across the semiconductor space and beyond, the AI Screener provides an AI-powered discovery platform that scans thousands of securities using technical indicators, fundamentals, volatility measures, AI-generated signals, price patterns, and customizable filters. The tool helps users surface trending securities, breakout candidates, and new trading ideas more efficiently than manual screening, with the flexibility to filter by industry, performance characteristics, and volatility profile. Explore the AI Screener to refine your own research workflow.

2026 Outlook and Key Factors to Monitor

Looking ahead, several structural factors are likely to shape USD's trajectory. First, the pace and sustainability of AI-related capital expenditure will remain the dominant earnings driver for the index's largest constituents; any evidence of a slowdown in data-center spending could weigh on sentiment, while continued expansion would support the group. Second, interest-rate and inflation dynamics will influence valuation multiples, given the sector's growth-oriented profile. Third, memory-market cycles and broader electronics demand will determine how broadly gains are distributed beyond the largest AI beneficiaries.

Investors should also monitor export-control developments and supply-chain diversification, which can create both headwinds and opportunities for U.S. chipmakers. Finally, the fund's daily-reset structure means that volatility itself is a key risk factor: even if the underlying index is flat over a multi-month period, choppy trading can generate a negative compounding effect. These dynamics make USD a tactical, high-volatility instrument best suited to investors who understand the mechanics of leveraged daily-rebalanced products.

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.

Disclaimers and Limitations

A.I.Advisor
a Summary for USD with price predictions
Sep 04, 2026

USD's RSI Indicator recovers from oversold territory

The RSI Indicator for USD moved out of oversold territory on July 30, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 20 similar instances when the indicator left oversold territory. In of the 20 cases the stock moved higher. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 56 cases where USD's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Momentum Indicator moved above the 0 level on September 04, 2026. You may want to consider a long position or call options on USD as a result. In of 86 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for USD just turned positive on September 04, 2026. Looking at past instances where USD's MACD turned positive, the stock continued to rise in of 48 cases over the following month. The odds of a continued upward trend are .

USD moved above its 50-day moving average on September 04, 2026 date and that indicates a change from a downward trend to an upward trend.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where USD advanced for three days, in of 368 cases, the price rose further within the following month. The odds of a continued upward trend are .

USD may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

The Aroon Indicator entered an Uptrend today. In of 335 cases where USD Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Bearish Trend Analysis

The 10-day moving average for USD crossed bearishly below the 50-day moving average on August 20, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 16 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where USD declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

A.I.Advisor
published Highlights

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Broadcom Inc. (NASDAQ:AVGO), Micron Technology (NASDAQ:MU), Advanced Micro Devices (NASDAQ:AMD), Intel Corp (NASDAQ:INTC), Lam Research Corp (NASDAQ:LRCX), Applied Materials (NASDAQ:AMAT), KLA Corporation (NASDAQ:KLAC), Texas Instruments (NASDAQ:TXN), Marvell Technology (NASDAQ:MRVL).

Industry description

The investment seeks daily investment results that correspond to two times (2x) the daily performance of the Dow Jones U.S. SemiconductorsSM Index. The fund invests in financial instruments that ProShare Advisors believes, in combination, should produce daily returns consistent with the Daily Target. The index is designed to measure the stock performance of U.S. companies in the semiconductors sub-sector. Under normal circumstances, the fund will obtain leveraged exposure to at least 80% of its total assets in components of the index or in instruments with similar economic characteristics. The fund is non-diversified.

Market Cap

The average market capitalization across the ProShares Ultra Semiconductors ETF is 339.89B. The market cap for tickers in the group ranges from 2.82B to 5.56T. NVDA holds the highest valuation in this group at 5.56T. The lowest valued company is POWI at 2.82B.

High and low price notable news

The average weekly price growth across all stocks in the ProShares Ultra Semiconductors ETF was 7%. For the same ETF, the average monthly price growth was -2%, and the average quarterly price growth was 77%. SWKS experienced the highest price growth at 13%, while AVGO experienced the biggest fall at -3%.

Volume

The average weekly volume growth across all stocks in the ProShares Ultra Semiconductors ETF was -13%. For the same stocks of the ETF, the average monthly volume growth was -10% and the average quarterly volume growth was -46%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 65
P/E Growth Rating: 41
Price Growth Rating: 49
SMR Rating: 59
Profit Risk Rating: 62
Seasonality Score: -36 (-100 ... +100)
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published General Information

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Trading--Leveraged Equity
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ProShares Trust7501 Wisconsin Avenue,Suite 1000Bethesda
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ProShares Ultra Semiconductors (USD) ETF Analysis: Leveraged Semiconductor Exposure in an AI-Driven Chip Cycle