GET DAILY SIGNALSQQQA vs SPMO: Weighing Two Momentum ETFs for Investors
Key Takeaways
- QQQA is a concentrated, roughly 21-holding equal-weighted momentum sleeve drawn from the Nasdaq-100, while SPMO holds about 100 of the highest-momentum stocks from the broader S&P 500.
- Both funds are passively managed momentum strategies, but their universes, breadth, and sector concentration differ materially, shaping very different risk profiles.
- Cost efficiency clearly favors SPMO at a 0.13% expense ratio versus QQQA's 0.58%.
- Liquidity and scale are starkly different: SPMO manages tens of billions in assets, while QQQA is a much smaller fund, which can affect trading spreads and capacity.
- Technology dominates both portfolios, but QQQA's single-sector and single-name concentration is far more extreme, increasing drawdown sensitivity.
- Tickeron AI Verdict: Based on cost, diversification, liquidity, and trend breadth, the AI would favor SPMO over QQQA in the current environment.
Why Momentum Strategies Matter Today
Momentum has been one of the most durable factor premiums in equity markets, and both of these exchange-traded funds are built to harness it. QQQA and SPMO do not compete directly so much as they represent two different implementations of the same underlying idea: owning the stocks that have recently risen the most. QQQA applies that rule narrowly to the Nasdaq-100 universe, while SPMO applies it to the entire S&P 500. For investors weighing momentum exposure today, the comparison comes down to concentration versus breadth, and to the structural costs of each approach. I also checked this using Tickeron’s AI Screener to see how the funds compare on key metrics.
ProShares Nasdaq-100 Dorsey Wright Momentum ETF (QQQA) Overview
QQQA is a passively managed, non-diversified ETF that tracks the Nasdaq-100 Dorsey Wright Momentum Index. That index selects roughly 21 of the highest-momentum securities from the Nasdaq-100 and weights them equally at each reconstitution, which occurs quarterly. Because the strategy keeps only the strongest recent performers, its portfolio can drift far from the parent Nasdaq-100 and cluster heavily in one sector.
The fund is highly concentrated in information technology, which has recently accounted for a majority of assets, with smaller allocations to communication services and healthcare. Representative top holdings have included semiconductor and hardware names such as AMD, INTC, MRVL, and WDC, alongside software and cybersecurity leaders like CRWD and PANW. With roughly 21 holdings and a 0.58% expense ratio, QQQA is a relatively high-cost, high-turnover vehicle with a modest asset base of around $50 million.
Invesco S&P 500 Momentum ETF (SPMO) Overview
SPMO is a passively managed ETF that tracks the S&P 500 Momentum Index, which selects approximately 100 stocks from the S&P 500 with the highest momentum scores and weights them accordingly, with the index reconstituted semiannually. Because it draws from the entire large-cap S&P 500, its portfolio is broader across sectors while still tilting decisively toward recent winners.
Information technology is the largest sector exposure, typically around half of assets, followed by industrials, communication services, healthcare, financials, and energy. Representative top holdings have included NVDA, AVGO, MU, AAPL, GOOGL, JNJ, and XOM. With roughly 100 holdings, a 0.13% expense ratio, and assets under management (AUM) in the tens of billions, SPMO is a larger, more liquid, and lower-cost implementation of the momentum factor.
Industry and Thematic Backdrop
Both funds sit squarely within the momentum and growth segments of the U.S. large-cap market, and both have been shaped by the same macro forces in recent market cycles. The artificial-intelligence investment boom has concentrated capital into semiconductor, hardware, and cloud-software names, lifting the relative strength of the very stocks these momentum screens favor. At the same time, shifting interest-rate expectations and earnings cycles among mega-cap technology companies have driven rapid sector rotation, rewarding funds that can rebalance toward new leaders.
The key thematic risk is the same for both vehicles: momentum strategies are prone to sharp reversals when leadership changes quickly. A rotation out of technology and into value, defensive, or rate-sensitive sectors would pressure both funds, though QQQA's extreme concentration makes it more vulnerable to single-sector drawdowns than the more diversified SPMO. From what I see, this difference in sensitivity is worth monitoring closely.
Performance and Positioning Comparison
Over recent weeks and months, both funds have benefited from sustained strength in technology and momentum leadership, but their relative positioning has diverged. SPMO has carried a broader set of winners across technology, industrials, healthcare, and financials, which has tempered its single-sector risk. QQQA, by contrast, has been dominated by semiconductor and software momentum, producing a more concentrated and potentially higher-volatility return profile.
This difference matters for relative positioning. SPMO's wider sector net and lower turnover costs have made it a more consistent vehicle for capturing the momentum premium, while QQQA's narrow focus has amplified both upside and downside around technology earnings cycles. Liquidity is another structural advantage: SPMO trades with far greater daily volume, giving investors tighter spreads and easier execution than the smaller QQQA.
Incorporating AI Tools into My ETF Research
When comparing momentum funds like these, I often turn to Tickeron’s AI Screener as part of my process. It helps me quickly scan for relative strength, sector tilts, and other factors that shape risk and return. This approach keeps my analysis grounded in data without adding unnecessary complexity.
Disclaimer
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.
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
SPMO in downward trend: price dove below 50-day moving average on October 12, 2026
SPMO moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend. In 36 of 43 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 84%.
Technical Analysis (Indicators)
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on October 08, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPMO as a result. In 73 of 89 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.
The Moving Average Convergence Divergence Histogram (MACD) for SPMO turned negative on October 09, 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 51 similar instances when the indicator turned negative. In 41 of the 51 cases the stock turned lower in the days that followed. This puts the odds of success at 80%.
The 10-day moving average for SPMO crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 16 of 20 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 80%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPMO 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 77%.
The Aroon Indicator for SPMO entered a downward trend on October 30, 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.
Bullish Trend Analysis
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where SPMO's RSI Oscillator exited the oversold zone, 22 of 24 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 46 of 56 cases where SPMO'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 82%.
Following a +3.09% 3-day Advance, the price is estimated to grow further. Considering data from situations where SPMO advanced for three days, in 309 of 378 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.
SPMO may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
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