The investment seeks investment results, before fees and expenses, that track the performance of the Nasdaq-100 Dorsey Wright Momentum Index (the “index”)... Show more
The ProShares Nasdaq-100 Dorsey Wright Momentum ETF seeks investment results, before fees and expenses, that track the Nasdaq-100 Dorsey Wright Momentum Index. That index is constructed to hold approximately 21 non-financial securities from the Nasdaq-100 with the highest price momentum as determined by Dorsey, Wright & Associates. QQQA launched in May 2021 and carries a net expense ratio of 0.58%.
The strategy is passively implemented but rules-based and highly concentrated. Holdings are equal-weighted at each rebalancing, though weights drift between rebalancing periods as prices move, and portfolio turnover has historically been elevated as the momentum screen rotates names in and out. The fund is classified as non-diversified, meaning individual positions can represent a larger share of assets than in a typical diversified equity ETF.
The portfolio's composition explains much of its behavior. Information technology accounts for roughly 70% of assets, followed by communication services, health care, energy, and consumer discretionary in single-digit proportions. Semiconductor and semiconductor-equipment names dominate the top of the book, including AMD, ARM, Marvell Technology, Intel, Seagate, Western Digital, Applied Materials, KLA, and Lam Research, alongside AppLovin and Alphabet. This semiconductor-heavy tilt means QQQA's performance is tightly linked to the AI (artificial intelligence) and memory-storage hardware cycle.
The market environment surrounding QQQA is dominated by the ongoing artificial-intelligence capital-expenditure cycle. Demand for accelerators, high-bandwidth memory, networking components, and advanced semiconductor manufacturing equipment has lifted the earnings and share prices of many chip and hardware suppliers, which is precisely the cohort this momentum index tends to select. Memory and storage providers such as Seagate and Western Digital have also benefited from a cyclical upswing in pricing tied to AI-driven data-center buildouts.
At the same time, momentum strategies carry inherent cyclicality. When leadership in the Nasdaq-100 narrows or rotates—whether toward software, mega-cap platforms, or defensive sectors—the Dorsey Wright screen can become concentrated in a small group of names whose fortunes move together. This amplifies both upside and downside. Macroeconomic factors such as interest-rate expectations, inflation (the pace of price increases), and valuation sensitivity in growth and technology equities also weigh disproportionately on a portfolio this concentrated in one industry.
QQQA's recent trading has been volatile rather than trend-driven. The fund traded near the high $80s in late June before a pronounced July selloff in technology and semiconductor shares pushed it toward the high $60s and low $70s. It subsequently recovered into early August and has since settled in a range near the low $70s. Over the trailing 30 days, the fund is down approximately 1.6%, a muted net move that masks meaningful intra-period swings.
This behavior reflects the concentrated nature of the portfolio. A handful of semiconductor holdings drove much of the July decline, as momentum leaders that had outperformed earlier in the cycle gave back gains during a broader rotation within technology. The partial recovery into August tracked a stabilization in chip and hardware names, but the fund remains below its June highs. Because QQQA holds only about 21 names with heavy industry overlap, its volatility tends to run above that of the broader Nasdaq-100, and its performance diverges meaningfully from capitalization-weighted peers when sector leadership shifts.
Tickeron's AI Screener is an AI-powered stock and ETF discovery platform that helps investors scan thousands of securities using technical indicators, fundamentals, volatility measures, AI-generated signals, market trends, price patterns, and customizable filters. It is designed to surface trending securities, breakout candidates, and new trading opportunities more efficiently than manual screening. For investors monitoring momentum strategies such as QQQA, the tool offers a structured way to evaluate industry leadership, relative strength, and shifting market themes across a broad universe of securities.
Looking ahead, several structural factors are likely to influence QQQA. The durability of the AI capital-expenditure cycle remains the central theme: continued investment in data-center hardware, memory, and semiconductor manufacturing would support the earnings of many top holdings, while any slowdown in enterprise or hyperscaler spending could pressure the concentrated portfolio. Interest-rate policy and inflation expectations also matter, as higher-for-longer rates tend to weigh on valuations for growth-oriented and momentum-driven equities.
Investors should also monitor earnings cycles across major semiconductor, memory, and equipment holdings, where cyclical swings in pricing and order patterns can shift momentum quickly. The fund's high portfolio turnover means its composition itself is a moving variable, so changes in holdings can alter exposure between rebalancing periods. Finally, concentration risk and ETF competition in the momentum space are structural considerations, as the non-diversified, equal-weighted design magnifies both single-name and sector-level risk relative to broader Nasdaq-100 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.
Moving lower for three straight days is viewed as a bearish sign. Keep an eye on this stock for future declines. Considering data from situations where QQQA declined for three days, in of 252 cases, the price declined further within the following month. The odds of a continued downward trend are .
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 QQQA as a result. In of 79 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for QQQA turned negative on September 01, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 48 similar instances when the indicator turned negative. In of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at .
The Aroon Indicator for QQQA entered a downward trend on August 06, 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 RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where QQQA's RSI Indicator exited the oversold zone, of 29 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQA advanced for three days, in of 350 cases, the price rose further within the following month. The odds of a continued upward trend are .
QQQA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeGrowth