GET DAILY SIGNALSSPMO vs SPHQ: Momentum's Recent Edge Over Quality in S&P 500 ETFs
Key Takeaways
- SPHQ tracks the S&P 500 Quality Index, holding 100 large-cap companies with the strongest quality scores, while SPMO tracks the S&P 500 Momentum Index, holding the 100 highest-momentum stocks.
- SPMO has delivered notably stronger recent and trailing returns, driven by heavy exposure to high-momentum technology and AI-related names.
- SPHQ offers a more defensive, fundamentals-driven profile with lower volatility and a higher dividend yield, at a slightly higher expense ratio.
- The two funds differ sharply in sector concentration: SPMO is concentrated in technology and AI infrastructure, while SPHQ skews toward quality financials, healthcare, and stable mega-cap tech.
- Recent market activity has favored momentum, but that edge has come with wider price swings and higher single-stock risk.
Setting the Stage: Quality Versus Momentum Approaches
Investors evaluating factor-based exchange-traded funds (ETFs) often weigh two competing philosophies: buying companies with durable balance-sheet quality versus riding securities with the strongest recent price momentum. SPHQ (Invesco S&P 500 Quality ETF) and SPMO (Invesco S&P 500 Momentum ETF) represent these two approaches in pure form. Both are managed by Invesco, both draw from the same S&P 500 universe of 100 holdings, and both are among the largest factor ETFs in their categories. This comparison examines their relative performance, risk profiles, and market positioning to help traders and long-term investors understand which factor style currently holds the upper hand in the prevailing market environment. I also checked this using Tickeron’s AI Screener to see how the holdings stack up across sectors.
SPHQ Overview and Recent Performance
SPHQ is the Invesco S&P 500 Quality ETF, a fund that selects roughly 100 S&P 500 constituents with the highest quality scores, based on metrics such as return on equity, accruals ratio, and financial leverage ratio. The fund carries an expense ratio of approximately 0.15% and manages roughly $19 billion in assets, with a dividend yield near 1.1%.
In recent weeks, SPHQ has continued its steady but comparatively modest advance. The fund is up roughly 13% to 15% year to date and approximately 16% over the trailing year, with its share price trading in the mid-$80s within a 52-week range of roughly $73 to $90. Sentiment has been supported by resilience in large, financially stable companies, though the quality factor has lagged the market's more aggressive growth-oriented segments. Quality names tend to hold up better during volatility but can trail during sharp, momentum-led rallies, which has been the dynamic in the current cycle.
SPMO Overview and Recent Performance
SPMO is the Invesco S&P 500 Momentum ETF, which holds the 100 S&P 500 stocks with the highest momentum scores and rebalances twice a year. The fund carries an expense ratio of approximately 0.13%, manages roughly $23 billion in assets, and offers a lower dividend yield near 0.7% to 0.8%.
SPMO has been a standout performer in the current environment, up roughly 27% year to date and about 26% over the trailing year, with the share price in the $140s to $150s within a 52-week range of roughly $107 to $162. Its recent performance has been powered by heavy exposure to artificial intelligence and semiconductor names, including Micron, Nvidia, Broadcom, Alphabet, and AMD. A recent index rebalance shifted weight toward higher-beta AI infrastructure stocks, which has amplified both gains and drawdowns. As a result, SPMO has delivered strong returns but with meaningfully higher volatility than its quality-focused counterpart. From what I see, running a quick check through Tickeron’s AI Trend Prediction Engine helped confirm the strength of the underlying momentum signals.
Head-to-Head Comparison
The core contrast between these two funds is philosophical: quality versus momentum. SPHQ favors companies with durable profitability and lower leverage, which historically translates into lower drawdowns and steadier compounding. Its sector exposure leans toward stable mega-cap technology, healthcare, and well-capitalized financials. In contrast, SPMO concentrates in whatever is rising fastest, which today means a heavy technology and semiconductor tilt, creating greater upside but also heightened concentration risk.
On relative performance, SPMO has clearly led in recent market activity and over one-, three-, and five-year horizons, a reflection of the market's persistent growth and AI-driven leadership. On risk, however, SPHQ has historically exhibited lower volatility and smaller drawdowns, and it offers a higher dividend yield. The trade-off is straightforward: SPMO provides stronger momentum and total-return potential, while SPHQ provides greater stability and quality-based downside cushioning at a marginally higher fee.
AI Framework Insights on the Factor Trade-Off
Based on observable trend consistency, relative strength, and prevailing market leadership, the AI framework would likely express a near-term preference for SPMO. The fund's sustained uptrend, its concentration in the market's strongest-performing segments, and its superior recent and trailing returns all align with momentum-oriented signals. However, this view is probabilistic rather than definitive: SPMO's elevated volatility, higher single-stock concentration, and sensitivity to rotations out of AI-related names represent meaningful counterweights. In environments where risk appetite cools or market breadth broadens, SPHQ's quality tilt could regain the advantage. The verdict, therefore, favors momentum today while acknowledging that the quality factor remains a more stable, lower-risk alternative across full market cycles.
Using Tickeron’s AI Trading Bots for Factor Exposure
In my own research process, I’ve found value in reviewing Tickeron’s AI Trading Bots to see how automated strategies align with factor tilts like momentum or quality. These bots monitor thousands of tickers and can highlight approaches that complement manual ETF comparisons, especially when market leadership shifts quickly between growth and defensive segments. The platform’s curation of top-performing bots offers a practical way to test ideas in real time without overcomplicating the analysis.
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
Harry Richardson — Algorithmic Trader & Strategy Developer Harry is an algorithmic trader specializing in impulse and breakout trading strategies across cryptocurrency and equity markets. With more than 10 years of experience in developing automated trading systems, he focuses on building structured algorithms designed to capture momentum while maintaining strict risk control. His approach combines quantitative analysis, real-market execution, and continuous performance monitoring. Vitalii prioritizes risk management, drawdown control, and strategy stability over short-term optimization, ensuring algorithms are adaptable to changing market conditions. He has developed and tested hundreds of automated strategies, working extensively with live trading environments, forward testing, and portfolio-level algorithm management. His work centers on transforming trading ideas into fully operational, scalable automated systems.
SPHQ's Stochastic Oscillator is staying in oversold zone for 3 days
The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an uptrend is expected.
Technical Analysis (Indicators)
Bullish Trend Analysis
Following a +0.38% 3-day Advance, the price is estimated to grow further. Considering data from situations where SPHQ advanced for three days, in 278 of 334 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
The Aroon Indicator entered an Uptrend today. In 318 of 382 cases where SPHQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 83%.
Bearish Trend Analysis
The Momentum Indicator moved below the 0 level on October 15, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPHQ as a result. In 61 of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 73%.
The Moving Average Convergence Divergence Histogram (MACD) for SPHQ turned negative on October 16, 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 52 similar instances when the indicator turned negative. In 39 of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at 75%.
SPHQ moved below its 50-day moving average on October 14, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for SPHQ crossed bearishly below the 50-day moving average on October 19, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 12 of 15 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 SPHQ 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 73%.
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