Investors seeking large-cap U.S. equity exposure frequently compare growth-oriented strategies, and the Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Growth ETF (VUG) represent distinct approaches within this space. SPMO applies a momentum overlay to the S&P 500, while VUG delivers straightforward large-cap growth characteristics. These ETFs do not compete directly but offer alternative paths to growth-oriented portfolios: one emphasizing recent performance persistence and the other providing broad, low-cost access to established growth companies. Understanding their structural differences helps investors align selections with specific risk tolerances and market views.
The Invesco S&P 500 Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, selecting approximately 100 securities from the S&P 500 Index that exhibit the strongest momentum scores. The index weights constituents by a combination of market capitalization and momentum score, with reconstitution and rebalancing occurring twice annually on the third Friday of March and September. The fund maintains a passive structure with full replication where possible and holds roughly 100 positions. Top holdings typically feature technology names such as Micron Technology (MU), NVIDIA (NVDA), and Broadcom (AVGO), contributing to technology sector allocations often exceeding 50%. The expense ratio stands at 0.13%. SPMO’s momentum-driven methodology distinguishes it from traditional market-cap weighted funds by systematically favoring securities with strong recent relative performance.
The Vanguard Growth ETF (VUG) seeks to track the CRSP U.S. Large Cap Growth Index (recently transitioning toward Morningstar equivalents in nomenclature) through full physical replication of large-capitalization growth stocks. The fund holds approximately 150 securities and applies a passive, market-capitalization-weighted approach with low turnover. Top holdings commonly include NVIDIA (NVDA), Apple (AAPL), Microsoft (MSFT), and Alphabet (GOOGL), resulting in technology sector exposure frequently above 55%. The expense ratio is 0.03%, among the lowest in its category. VUG’s structure emphasizes broad representation of the large-cap growth segment of the U.S. equity market while remaining fully invested and minimizing tracking error through efficient replication.
Both ETFs operate within the large-cap growth segment of the U.S. equity market, where technology innovation, artificial intelligence adoption, and semiconductor demand continue to drive capital flows. Macroeconomic factors including interest rate expectations, corporate earnings growth in technology and related sectors, and regulatory developments around data privacy and antitrust influence sector momentum. Growth equities have benefited from capital rotation toward high-return sectors in recent market cycles, though valuations remain elevated relative to historical averages. Risks include potential compression in multiples if economic growth moderates or if monetary policy shifts become less supportive. The environment favors strategies that balance growth exposure with considerations of concentration and cost efficiency.
In recent weeks and months, momentum-focused strategies like those employed by the Invesco S&P 500 Momentum ETF (SPMO) have shown sensitivity to shifts in leadership among high-momentum names, often amplifying gains during strong technology rallies while experiencing sharper drawdowns during rotations. The Vanguard Growth ETF (VUG), with its broader growth mandate, has delivered more consistent participation across large-cap growth constituents, resulting in comparatively lower volatility in certain market environments. Relative positioning reflects SPMO’s emphasis on price persistence versus VUG’s stable representation of established growth companies. Both benefit from earnings momentum in technology leaders, yet SPMO’s semi-annual rebalancing introduces periodic adjustments that can enhance or detract from returns depending on prevailing market trends.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors comparing ETFs such as the Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Growth ETF (VUG) may find the tool useful for exploring related securities and signals.
Tickeron’s AI would likely assign a modest edge to the Vanguard Growth ETF (VUG) in the current environment due to its substantially lower expense ratio, greater diversification across approximately 150 holdings, and highly liquid structure supported by a large asset base. While the Invesco S&P 500 Momentum ETF (SPMO) offers attractive momentum characteristics and potential outperformance in trending markets, its higher cost and narrower selection introduce incremental structural trade-offs. The probabilistic preference favors VUG for core, cost-efficient large-cap growth exposure, with SPMO remaining suitable as a complementary allocation for investors seeking explicit momentum tilts.
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| SPMO | VUG | SPMO / VUG | |
| Gain YTD | 26.657 | 8.376 | 318% |
| Net Assets | 22.6B | 385B | 6% |
| Total Expense Ratio | 0.13 | 0.03 | 433% |
| Turnover | 44.00 | 12.00 | 367% |
| Yield | 0.71 | 0.38 | 185% |
| Fund Existence | 11 years | 23 years | - |
| SPMO | VUG | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 70% | 1 day ago 88% |
| Momentum ODDS (%) | 1 day ago 83% | 1 day ago 85% |
| MACD ODDS (%) | 1 day ago 83% | 1 day ago 80% |
| TrendWeek ODDS (%) | 1 day ago 84% | 1 day ago 81% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 86% |
| Advances ODDS (%) | 1 day ago 82% | 7 days ago 85% |
| Declines ODDS (%) | 21 days ago 76% | 1 day ago 79% |
| BollingerBands ODDS (%) | 1 day ago 56% | 7 days ago 79% |
| Aroon ODDS (%) | 1 day ago 88% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MINY | 39.74 | 0.35 | +0.88% |
| YieldMax® Strat Mtls & MngPtfOptIncETF | |||
| EMD | 10.45 | 0.05 | +0.48% |
| Western Asset Emerging Markets Debt Fund | |||
| NPFI | 25.77 | -0.01 | -0.04% |
| Nuveen Preferred and Income ETF | |||
| NTSD | 47.77 | -0.41 | -0.86% |
| WisdomTree Efficient U.S. Pls Intl Eq Fd | |||
| CEF | 44.50 | -0.77 | -1.70% |
| Sprott Physical Gold and Silver Trust | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.50% | ||
| GLW - SPMO | 72% Closely correlated | +7.56% | ||
| ETN - SPMO | 72% Closely correlated | +2.75% | ||
| PWR - SPMO | 66% Loosely correlated | +2.34% | ||
| CMI - SPMO | 65% Loosely correlated | +0.14% | ||
| GEV - SPMO | 62% Loosely correlated | +3.12% | ||
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A.I.dvisor indicates that over the last year, VUG has been closely correlated with RVTY. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then RVTY could also see price increases.
| Ticker / NAME | Correlation To VUG | 1D Price Change % | ||
|---|---|---|---|---|
| VUG | 100% | -0.37% | ||
| RVTY - VUG | 70% Closely correlated | -2.41% | ||
| SWKS - VUG | 57% Loosely correlated | +1.84% | ||
| MCHP - VUG | 56% Loosely correlated | -1.07% | ||
| ADI - VUG | 55% Loosely correlated | +0.26% | ||
| ZM - VUG | 54% Loosely correlated | -4.83% | ||
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