The ProShares Ultra Silver ETF seeks daily investment results, before fees and expenses, corresponding to two times (2x) the daily performance of the Bloomberg Silver Subindex. This benchmark reflects silver prices as measured by COMEX silver futures contracts. The ETF employs a commodities pool structure utilizing silver futures and forward contracts, along with swaps, rather than holding physical metal directly.
Portfolio exposure centers on silver futures positions, primarily front-month contracts that roll according to a fixed schedule, supplemented by over-the-counter swaps with major financial institutions. Geographic allocation is predominantly U.S.-focused through these derivatives, with currency exposure limited to the U.S. dollar. The 0.95% expense ratio reflects the costs associated with maintaining leveraged futures exposure.
This futures-centric positioning structurally ties performance to silver price movements, roll yields, and contango or backwardation in the futures curve. For forward trajectories, the strategy offers amplified sensitivity to industrial demand growth in solar photovoltaics and semiconductors, as well as monetary factors affecting precious metals broadly.
Upcoming Federal Reserve policy meetings and inflation data releases, such as PCE readings, could influence interest rate expectations and real yields, directly impacting silver’s appeal as a non-yielding asset. A dovish tilt or sustained dollar weakness may support futures prices underlying the index.
Industrial demand catalysts include expansion in renewable energy installations and electronics manufacturing, where silver serves as a critical input. Supply-side developments, including mining output reports and potential disruptions, may exacerbate the ongoing market deficit projected by industry analyses.
Geopolitical events and policy shifts, including sanctions or trade measures affecting key silver consumers, could trigger safe-haven buying. ETF inflow patterns into silver vehicles may also act as a sentiment catalyst, reinforcing positioning in leveraged products.
Earnings and production outlooks from major silver miners, while not direct holdings, influence the broader futures market sentiment and could affect index levels over time.
The silver market operates within a commodity cycle shaped by both monetary and industrial forces. Macroeconomic factors such as U.S. interest rates, inflation persistence, and global growth rates directly influence futures pricing. Lower real yields and a softer dollar typically correlate with higher silver valuations, while tightening policy may exert downward pressure.
Equity market trends and bond market dynamics interact with silver through investor risk appetite and portfolio allocation shifts. Commodity cycles, particularly in precious metals, remain sensitive to central bank purchasing patterns and geopolitical risk premiums.
The Bloomberg Silver Subindex outlook hinges on the balance between robust industrial consumption in green technologies and constrained mine supply. Currency movements, especially USD strength or weakness, add another layer of sensitivity for this dollar-denominated exposure.
The Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Explore the Trend Prediction Engine to review current forecasts and insights for various assets.
Long-term silver demand is supported by accelerating adoption of renewable energy technologies and electronics, where the metal’s conductive properties remain essential despite potential substitution risks in some photovoltaic applications. Demographic shifts toward electrification and sustainability goals may sustain structural consumption growth.
Economic cycles and interest rate environments will continue to shape precious metals valuations, with lower-rate regimes historically favoring non-yielding assets. Global investment trends, including diversification into commodities amid portfolio rebalancing, could influence futures market dynamics.
The underlying index faces ongoing supply constraints from mining sector challenges, potentially creating a favorable backdrop if industrial and investment demand remain robust. Market structure changes, such as evolving futures roll mechanisms or regulatory adjustments in commodities trading, warrant monitoring for their impact on leveraged 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.
Category Trading
A.I.dvisor indicates that over the last year, AGQ has been closely correlated with SHNY. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if AGQ jumps, then SHNY could also see price increases.
| Ticker / NAME | Correlation To AGQ | 1D Price Change % | ||
|---|---|---|---|---|
| AGQ | 100% | +2.22% | ||
| SHNY - AGQ | 83% Closely correlated | +1.09% | ||
| UGL - AGQ | 82% Closely correlated | +1.19% | ||
| GDXU - AGQ | 80% Closely correlated | +2.97% | ||
| DGP - AGQ | 79% Closely correlated | +0.50% | ||
| USLV - AGQ | 14% Poorly correlated | +2.27% | ||
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AGQ saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on September 01, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 46 instances where the indicator turned negative. In 42 of the 46 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.
The 10-day RSI Indicator for AGQ moved out of overbought territory on August 24, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 45 similar instances where the indicator moved out of overbought territory. In 38 of the 45 cases, the stock moved lower in the following days. This puts the odds of a move lower at 84%.
The Momentum Indicator moved below the 0 level on September 02, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AGQ as a result. In 78 of 87 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AGQ declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 89%.
AGQ broke above its upper Bollinger Band on August 07, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
AGQ moved above its 50-day moving average on August 10, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for AGQ crossed bullishly above the 50-day moving average on August 14, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 17 of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 90%.
Following a +9.14% 3-day Advance, the price is estimated to grow further. Considering data from situations where AGQ advanced for three days, in 274 of 301 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
The Aroon Indicator entered an Uptrend today. In 215 of 226 cases where AGQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.