SPMO
Price
$150.90
Change
-$4.26 (-2.75%)
Updated
Aug 18 closing price
Net Assets
21.74B
Intraday BUY SELL Signals
VUG
Price
$87.86
Change
-$1.01 (-1.14%)
Updated
Aug 18 closing price
Net Assets
371.99B
Intraday BUY SELL Signals
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SPMO vs VUG

SPMO vs VUG Comparison Chart in %
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A.I.Advisor
Aug 16, 2026

Which ETF would AI Choose? Invesco S&P 500 Momentum ETF (SPMO) vs. Vanguard Morningstar Growth ETF (VUG)

Key Takeaways

  • Invesco S&P 500 Momentum ETF (SPMO) employs a momentum factor strategy selecting approximately 100 stocks from the S&P 500, while Vanguard Morningstar Growth ETF (VUG) follows a broad large-cap growth index with roughly 150 holdings.
  • SPMO carries a higher expense ratio of 0.13% compared to VUG at 0.03%, reflecting its active rebalancing for momentum signals versus VUG’s lower-cost passive approach.
  • Both ETFs exhibit heavy exposure to information technology, but SPMO tilts toward momentum leaders in sectors like industrials and energy, whereas VUG maintains broader growth characteristics across communication services and consumer discretionary.
  • SPMO offers concentrated exposure to high-momentum names, potentially leading to higher volatility, while VUG provides greater diversification within the growth segment.
  • Structural differences position SPMO as a tactical factor play and VUG as a core large-cap growth holding for long-term investors.
  • Expense efficiency and index methodology drive key distinctions in cost structure and rebalancing frequency between the two funds.

Introduction

Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Morningstar Growth ETF (VUG) both target U.S. large-cap equities with significant technology exposure, yet they pursue distinct strategies. SPMO applies momentum screening within the S&P 500, while VUG tracks a comprehensive growth benchmark. These differences make the pair relevant for investors evaluating factor-based versus style-based growth exposure in the current market environment characterized by evolving sector leadership and interest-rate dynamics.

Invesco S&P 500 Momentum ETF (SPMO) Overview

Invesco S&P 500 Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, selecting roughly 100 stocks exhibiting strong recent price performance. The fund maintains approximately 100 holdings with a focus on momentum-driven names. Sector allocations typically emphasize information technology at over 50%, followed by industrials and communication services. Its expense ratio stands at 0.13%. As a passive, rules-based factor ETF, SPMO rebalances periodically to capture shifting momentum trends, distinguishing it through targeted exposure to outperforming securities rather than broad market-cap weighting.

Vanguard Morningstar Growth ETF (VUG) Overview

Vanguard Morningstar Growth ETF (VUG) seeks to track the Morningstar US Large Cap Growth Index, providing exposure to approximately 150 large-capitalization growth-oriented companies. Holdings number around 147 to 151, with top positions concentrated in technology and communication services leaders. The fund features an expense ratio of 0.03%. Structured as a passive index ETF, VUG employs quarterly rebalancing aligned with its benchmark, offering broad diversification within the growth style without momentum overlays.

Industry and Thematic Backdrop

The large-cap growth and momentum segments remain influenced by advancements in artificial intelligence, semiconductor demand, and digital infrastructure spending. Macroeconomic factors including interest-rate expectations and corporate earnings cycles continue to shape capital allocation across technology-heavy portfolios. Regulatory developments around data privacy and antitrust scrutiny in the technology sector represent ongoing considerations, while broader economic resilience supports sustained investor interest in growth-oriented strategies.

Performance and Positioning Comparison

In recent market cycles, SPMO has shown sensitivity to momentum rotations, with performance tied to the persistence of leading stocks in technology and industrials. VUG has delivered steady exposure to established growth companies, benefiting from consistent earnings expansion in core holdings. Relative positioning highlights SPMO’s potential for amplified moves during momentum-driven phases, contrasted with VUG’s more stable profile across varied market conditions.

AI Screener

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. Explore opportunities with the AI Screener.

Tickeron AI Verdict

Based on structural efficiency, lower expense ratio, and broader diversification within the growth segment, Tickeron’s AI would currently assign a modest probabilistic preference to Vanguard Morningstar Growth ETF (VUG) for core holdings. Invesco S&P 500 Momentum ETF (SPMO) may appeal in environments favoring pronounced momentum trends due to its factor focus, though its higher cost and concentration warrant consideration of risk tolerance.

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.

Disclaimers and Limitations

VS
SPMO vs. VUG commentary
Aug 19, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is SPMO is a Hold and VUG is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
VUG has more net assets: 372B vs. SPMO (21.7B). SPMO has a higher annual dividend yield than VUG: SPMO (27.019) vs VUG (8.056). SPMO was incepted earlier than VUG: SPMO (11 years) vs VUG (23 years). VUG (0.03) has a lower expense ratio than SPMO (0.13). SPMO has a higher turnover VUG (12.00) vs VUG (12.00).
SPMOVUGSPMO / VUG
Gain YTD27.0198.056335%
Net Assets21.7B372B6%
Total Expense Ratio0.130.03433%
Turnover44.0012.00367%
Yield0.730.40183%
Fund Existence11 years23 years-
TECHNICAL ANALYSIS
Technical Analysis
SPMOVUG
RSI
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
82%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
80%
Bearish Trend 1 day ago
77%
Momentum
ODDS (%)
Bearish Trend 1 day ago
82%
Bearish Trend 1 day ago
79%
MACD
ODDS (%)
Bullish Trend 1 day ago
85%
Bullish Trend 1 day ago
84%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
83%
Bearish Trend 1 day ago
81%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
84%
Bullish Trend 1 day ago
87%
Advances
ODDS (%)
Bullish Trend 5 days ago
82%
Bullish Trend 6 days ago
84%
Declines
ODDS (%)
Bearish Trend 8 days ago
76%
Bearish Trend 1 day ago
79%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
85%
Bearish Trend 1 day ago
89%
Aroon
ODDS (%)
Bearish Trend 1 day ago
72%
N/A
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SPMO
Daily Signal:
Gain/Loss:
VUG
Daily Signal:
Gain/Loss:
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SPMO and

Correlation & Price change

A.I.dvisor indicates that over the last year, SPMO has been closely correlated with ETN. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then ETN could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPMO
1D Price
Change %
SPMO100%
-2.75%
ETN - SPMO
71%
Closely correlated
-5.29%
GLW - SPMO
71%
Closely correlated
-7.68%
PWR - SPMO
66%
Loosely correlated
-3.62%
CMI - SPMO
65%
Loosely correlated
-3.17%
GEV - SPMO
62%
Loosely correlated
-6.90%
More

VUG and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To VUG
1D Price
Change %
VUG100%
-1.14%
RVTY - VUG
70%
Closely correlated
-2.08%
SWKS - VUG
57%
Loosely correlated
-0.44%
MCHP - VUG
56%
Loosely correlated
-2.58%
ADI - VUG
55%
Loosely correlated
-3.50%
ZM - VUG
54%
Loosely correlated
-0.81%
More