IVW
Price
$139.68
Change
-$1.81 (-1.28%)
Updated
Aug 18 closing price
Net Assets
77.45B
Intraday BUY SELL Signals
SPMO
Price
$150.90
Change
-$4.26 (-2.75%)
Updated
Aug 18 closing price
Net Assets
21.74B
Intraday BUY SELL Signals
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IVW vs SPMO

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

Which ETF would AI Choose? iShares S&P 500 Growth ETF (IVW) vs. Invesco S&P 500® Momentum ETF (SPMO)

Key Takeaways

  • IVW tracks the S&P 500 Growth Index for broad large-cap growth exposure, while SPMO follows the S&P 500 Momentum Index with a narrower focus on approximately 100 high-momentum stocks.
  • Both ETFs maintain heavy allocations to Information Technology (over 50% each), but SPMO incorporates greater exposure to Industrials and exhibits a more dynamic selection process based on recent price trends.
  • SPMO offers a lower expense ratio of 0.13% compared to IVW’s 0.18%, providing a modest cost advantage for long-term holders.
  • IVW holds roughly 150 securities with significant concentration in mega-cap growth names, whereas SPMO’s momentum methodology can lead to higher turnover and distinct sector tilts during market rotations.
  • Both ETFs serve investors seeking factor-based exposure within U.S. large-cap equities, yet they target different performance drivers—sustained earnings growth versus price momentum.
  • In recent market cycles, momentum strategies like SPMO have shown sensitivity to trend persistence, while growth-oriented vehicles like IVW have benefited from sustained leadership in technology and communication services sectors.

Introduction

Investors evaluating large-cap U.S. equity strategies often compare factor-focused exchange-traded funds (ETFs) that slice the market by style or characteristic. The iShares S&P 500 Growth ETF (IVW) and the Invesco S&P 500® Momentum ETF (SPMO) both draw from the S&P 500 universe but apply distinct selection criteria—one centered on growth attributes and the other on price momentum. These ETFs do not compete directly as identical products; instead, they offer complementary or alternative exposures for investors pursuing growth-oriented outcomes through different quantitative lenses. The comparison highlights structural distinctions that influence risk, cost, and positioning amid evolving market conditions.

iShares S&P 500 Growth ETF (IVW) Overview

The iShares S&P 500 Growth ETF (IVW) is a passively managed fund that seeks to track the S&P 500 Growth Index. This index selects large-capitalization U.S. stocks exhibiting strong growth characteristics, measured by metrics such as earnings and revenue growth. The ETF typically holds approximately 150 securities, with notable concentration in the top holdings that frequently include leading technology companies. Sector allocations place the heaviest weight in Information Technology (around 52–53%), followed by Communication Services (approximately 15%) and Financials (near 9%). The expense ratio stands at 0.18%. As an open-end passive ETF, IVW employs full replication or optimized sampling and rebalances in line with index methodology, providing straightforward exposure to the growth segment of the S&P 500 without leverage or active management overlays.

Invesco S&P 500® Momentum ETF (SPMO) Overview

The Invesco S&P 500® Momentum ETF (SPMO) is a passively managed fund designed to track the S&P 500 Momentum Index. This index identifies approximately 100 stocks from the S&P 500 with the strongest recent price momentum. The ETF maintains a more concentrated portfolio of roughly 100 holdings and applies quarterly rebalancing to reflect changes in momentum rankings. Sector weights emphasize Information Technology (around 51–52%), with elevated allocations to Industrials (near 13%) and Communication Services (approximately 8–9%). SPMO carries an expense ratio of 0.13%. Structured as an open-end passive ETF, it uses a rules-based approach without leverage or derivatives overlays, delivering targeted exposure to momentum factors within large-cap U.S. equities.

Industry and Thematic Backdrop

Both ETFs operate within the large-cap U.S. equity market, where Information Technology and Communication Services sectors have driven much of the index performance in recent cycles. Macroeconomic factors such as interest rate expectations, corporate earnings growth in technology leaders, and shifts in capital flows toward high-growth or trending names influence positioning. Regulatory developments around antitrust scrutiny of large technology firms and evolving monetary policy remain relevant considerations. Sector risks include valuation compression during periods of rising rates or economic slowdowns, while catalysts encompass continued innovation in artificial intelligence, cloud computing, and semiconductor demand. These dynamics affect growth and momentum strategies differently depending on the persistence of trends versus fundamental earnings trajectories.

Performance and Positioning Comparison

In recent weeks and months, relative performance between the two ETFs has reflected broader sector rotation and momentum persistence. IVW’s growth orientation has aligned with sustained leadership in mega-cap technology names during periods of favorable earnings outlooks. SPMO’s momentum filter has produced varying tilts, occasionally boosting exposure to names showing accelerating price trends across Industrials and other cyclical areas. Volatility differences arise from SPMO’s narrower holdings universe and higher sensitivity to short-term trend reversals compared with IVW’s broader growth screen. Both have participated in large-cap rallies driven by technology earnings cycles, yet SPMO’s methodology introduces potential for quicker adjustments during market regime shifts. Investors monitoring interest rate paths and earnings momentum can observe how these structural features translate into relative positioning over market cycles.

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. AI Screener

Tickeron AI Verdict

Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to SPMO. The lower expense ratio, concentrated momentum methodology, and adaptability to prevailing price trends provide potential efficiency advantages within the current large-cap environment. IVW remains a strong alternative for investors prioritizing broader growth exposure and slightly greater diversification across growth characteristics. Selection ultimately depends on an investor’s specific risk tolerance, time horizon, and views on momentum persistence versus sustained earnings growth.

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
IVW vs. SPMO 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 IVW is a Hold and SPMO is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
IVW has more net assets: 77.4B vs. SPMO (21.7B). SPMO has a higher annual dividend yield than IVW: SPMO (27.019) vs IVW (13.428). IVW was incepted earlier than SPMO: IVW (26 years) vs SPMO (11 years). SPMO (0.13) has a lower expense ratio than IVW (0.18). SPMO has a higher turnover IVW (22.00) vs IVW (22.00).
IVWSPMOIVW / SPMO
Gain YTD13.42827.01950%
Net Assets77.4B21.7B357%
Total Expense Ratio0.180.13138%
Turnover22.0044.0050%
Yield0.370.7350%
Fund Existence26 years11 years-
TECHNICAL ANALYSIS
Technical Analysis
IVWSPMO
RSI
ODDS (%)
Bullish Trend 1 day ago
81%
Bullish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
76%
Bearish Trend 1 day ago
80%
Momentum
ODDS (%)
Bearish Trend 1 day ago
81%
Bearish Trend 1 day ago
82%
MACD
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
85%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
79%
Bullish Trend 1 day ago
83%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
84%
Advances
ODDS (%)
Bullish Trend 6 days ago
84%
Bullish Trend 5 days ago
82%
Declines
ODDS (%)
Bearish Trend 1 day ago
78%
Bearish Trend 8 days ago
76%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
88%
Bullish Trend 1 day ago
85%
Aroon
ODDS (%)
N/A
Bearish Trend 1 day ago
72%
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IVW
Daily Signal:
Gain/Loss:
SPMO
Daily Signal:
Gain/Loss:
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IVW and

Correlation & Price change

A.I.dvisor indicates that over the last year, IVW has been closely correlated with RVTY. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if IVW jumps, then RVTY could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To IVW
1D Price
Change %
IVW100%
-1.28%
RVTY - IVW
68%
Closely correlated
-2.08%
TER - IVW
63%
Loosely correlated
-8.77%
ETN - IVW
61%
Loosely correlated
-5.29%
MS - IVW
59%
Loosely correlated
-0.30%
SWKS - IVW
56%
Loosely correlated
-0.44%
More

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