SPMO and VUG both target U.S. large-cap equities with a pronounced growth orientation, yet they employ distinct methodologies that appeal to different investor objectives. SPMO implements an active momentum overlay on the S&P 500, whereas VUG offers straightforward passive exposure to the CRSP US Large Cap Growth Index. In the current market environment characterized by technological innovation and sector rotation, these ETFs serve as complementary or alternative tools for investors seeking growth-oriented equity exposure without direct overlap in strategy.
The Invesco S&P 500® Momentum ETF (SPMO) seeks to track the S&P 500 Momentum Index, which selects approximately 100 stocks from the S&P 500 exhibiting the strongest recent price momentum. The fund holds roughly 100–101 securities and maintains an expense ratio of 0.13%. Top holdings typically include technology leaders such as NVIDIA Corporation and Broadcom Inc., reflecting the strategy’s emphasis on recent outperformers. Sector allocations show pronounced concentration in information technology (approximately 49–53%), followed by industrials (12–14%) and communication services (around 9–10%). SPMO employs a passive, rules-based approach with periodic rebalancing to maintain alignment with the momentum index, distinguishing it as a factor-focused vehicle rather than a broad-market or thematic product.
The Vanguard Growth ETF (VUG) tracks the CRSP US Large Cap Growth Index through full replication, holding approximately 153–180 large-cap growth stocks. Its expense ratio stands at 0.03%, among the lowest in its category. Top holdings feature established growth names including NVIDIA Corporation, Apple Inc., and Microsoft Corporation. Sector exposure is heavily weighted toward technology (roughly 53–67%), with meaningful allocations to communication services and consumer discretionary. VUG operates as a passively managed index fund with low turnover, providing efficient, low-cost access to the large-cap growth segment of the U.S. equity market.
Both ETFs operate within the large-cap growth equity space, dominated by technology-driven companies benefiting from artificial intelligence adoption, cloud computing expansion, and digital transformation trends. Macroeconomic drivers such as interest rate expectations and corporate earnings cycles influence capital flows into growth sectors. Regulatory developments around technology and data privacy, alongside geopolitical tensions affecting supply chains, represent ongoing risks. The environment favors companies with strong earnings momentum, though shifts in monetary policy or economic growth rates could alter sector leadership between momentum and broad growth strategies.
In recent market cycles, SPMO’s momentum methodology has produced more variable relative performance compared with VUG’s steady large-cap growth exposure. SPMO tends to amplify gains during periods of strong sector trends but may lag when momentum reverses. VUG’s broader holdings provide smoother participation in overall growth market advances. Both vehicles have benefited from technology sector strength, yet SPMO’s concentrated factor tilt introduces greater sensitivity to rotation dynamics, while VUG maintains more consistent positioning across earnings seasons and macroeconomic shifts.
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 seeking data-driven insights into ETFs like SPMO and VUG may find the platform useful for refining their research process.
Tickeron’s AI would likely favor the Vanguard Growth ETF (VUG) at present, citing its materially lower expense ratio, broader diversification within the growth universe, and established passive structure that supports consistent exposure with minimal tracking error. While SPMO offers compelling momentum factor exposure that can enhance returns in favorable trend environments, VUG’s cost efficiency and structural stability position it as the more balanced choice for most long-term investors seeking large-cap growth participation.
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.
| SPMO | VUG | SPMO / VUG | |
| Gain YTD | 29.951 | 6.740 | 444% |
| Net Assets | 21.3B | 394B | 5% |
| Total Expense Ratio | 0.13 | 0.03 | 433% |
| Turnover | 44.00 | 12.00 | 367% |
| Yield | 0.67 | 0.37 | 182% |
| Fund Existence | 11 years | 22 years | - |
| SPMO | VUG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 74% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 70% | 2 days ago 84% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 73% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 87% |
| Advances ODDS (%) | 2 days ago 83% | 2 days ago 85% |
| Declines ODDS (%) | 7 days ago 75% | 7 days ago 78% |
| BollingerBands ODDS (%) | 2 days ago 79% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with LRCX. 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 LRCX could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | -2.04% | ||
| LRCX - SPMO | 72% Closely correlated | -5.03% | ||
| AVGO - SPMO | 69% Closely correlated | -4.37% | ||
| AMAT - SPMO | 68% Closely correlated | -3.00% | ||
| KLAC - SPMO | 68% Closely correlated | -7.44% | ||
| ETN - SPMO | 67% Closely correlated | +0.16% | ||
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