IVW
Price
$131.52
Change
-$3.07 (-2.28%)
Updated
Jun 10, 04:59 PM (EDT)
Net Assets
73.5B
Intraday BUY SELL Signals
QQQM
Price
$285.62
Change
-$5.90 (-2.02%)
Updated
Jun 10, 04:59 PM (EDT)
Net Assets
94.48B
Intraday BUY SELL Signals
SPMO
Price
$143.77
Change
-$3.74 (-2.54%)
Updated
Jun 10, 04:59 PM (EDT)
Net Assets
19.38B
Intraday BUY SELL Signals
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IVW or QQQM or SPMO

Header iconIVW vs QQQM vs SPMO Comparison
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Which ETF would AI Choose? iShares S&P 500 Growth ETF (IVW) vs. Invesco NASDAQ 100 ETF (QQQM) vs. Invesco S&P 500® Momentum ETF (SPMO)

Key Takeaways

  • IVW, QQQM, and SPMO all provide large-cap U.S. equity exposure with heavy technology weighting, yet differ in index methodology, concentration, and factor emphasis.
  • QQQM tracks the NASDAQ-100 Index and offers the broadest mega-cap growth exposure among the three, with approximately 103 holdings and a 0.15% expense ratio.
  • IVW follows the S&P 500 Growth Index, delivering targeted growth characteristics through roughly 147 holdings and a 0.18% expense ratio.
  • SPMO applies a momentum overlay to the S&P 500, selecting the top 100 momentum-scoring stocks with quarterly or semi-annual rebalancing and the lowest expense ratio at 0.13%.
  • Structural differences in holdings count, sector tilts, and rebalancing create distinct risk and return profiles suitable for varying investor objectives within growth-oriented strategies.
  • All three ETFs maintain passive structures with high liquidity, making them efficient vehicles for long-term thematic exposure to innovation-driven sectors.

Introduction

IVW, QQQM, and SPMO represent complementary approaches to large-cap U.S. growth investing. While each emphasizes technology and innovation leaders, they diverge in index construction: IVW selects growth stocks from the S&P 500, QQQM replicates the NASDAQ-100, and SPMO overlays momentum scoring on S&P 500 constituents. These differences produce varying levels of concentration, sector exposure, and factor sensitivity. Investors evaluating these exchange-traded funds (ETFs) seek clarity on how structural choices influence diversification, cost, and positioning across market cycles.

iShares S&P 500 Growth ETF (IVW) Overview

The iShares S&P 500 Growth ETF (IVW) seeks to track the S&P 500 Growth Index, which identifies large-cap companies exhibiting strong growth characteristics based on earnings and revenue metrics. The fund holds approximately 147 securities, with the top 10 holdings typically accounting for around 50-60% of assets. Prominent positions often include technology leaders such as NVDA, MSFT, and AAPL. Sector allocation is heavily weighted toward Information Technology (approximately 49-51%), followed by Communication Services and Consumer Discretionary. IVW maintains a passive structure with an expense ratio of 0.18%. Rebalancing aligns with the underlying index methodology, providing consistent exposure to growth-oriented large-cap equities.

Invesco NASDAQ 100 ETF (QQQM) Overview

The Invesco NASDAQ 100 ETF (QQQM) is designed to track the NASDAQ-100 Index, providing exposure to the 100 largest non-financial companies listed on the Nasdaq exchange. The ETF holds approximately 103 securities, with the top 10 holdings representing roughly 45-50% of the portfolio. Key holdings frequently feature NVDA, MSFT, AMZN, and META. Sector breakdown shows dominant exposure to Technology (around 54-64%), Consumer Discretionary, and Communication Services. QQQM employs a passive, market-capitalization-weighted approach with quarterly rebalancing and reconstitution. Its expense ratio stands at 0.15%, reflecting cost-efficient access to mega-cap growth names.

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

The Invesco S&P 500® Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, which selects the top 100 S&P 500 constituents demonstrating the strongest price momentum, weighted by a combination of market capitalization and momentum score. The fund typically maintains around 100 holdings, with the top 10 often comprising approximately 50% of assets. Holdings emphasize recent outperformers across sectors, frequently including technology and select industrial or financial names. Sector allocation shifts with momentum trends but commonly features elevated Information Technology exposure alongside Industrials and Communication Services. SPMO uses a passive smart-beta strategy with semi-annual rebalancing. The expense ratio is 0.13%, the lowest among the three ETFs.

Industry and Thematic Landscape

The ETFs operate within the large-cap growth segment of the U.S. equity market, dominated by technology, communication services, and consumer discretionary sectors. Macroeconomic drivers include interest-rate trajectories, corporate earnings growth in artificial intelligence and cloud computing, and capital allocation toward innovative companies. Regulatory developments around technology platforms and geopolitical tensions affecting supply chains influence sector sentiment. Earnings trends among mega-cap holdings continue to shape investor focus on profitability and valuation multiples. Broader market cycles determine the relative appeal of growth versus value styles, while sector risks such as regulatory scrutiny and competitive disruption remain persistent considerations for these strategies.

Performance and Positioning Comparison

In recent months and market cycles, the three ETFs have exhibited correlated yet differentiated behavior driven by their underlying exposures. QQQM’s concentration in the NASDAQ-100 has produced heightened sensitivity to mega-cap technology performance. IVW’s growth-factor screening from the broader S&P 500 has delivered more balanced participation across growth names. SPMO’s momentum overlay has introduced greater variability in sector weights, potentially amplifying upside during strong-trending periods while increasing drawdown risk when momentum reverses. Relative volatility differences stem from holdings concentration and rebalancing frequency. All three have shown resilience in innovation-driven rallies but may diverge during rotations toward value or defensive sectors. Structural distinctions in index selection explain why momentum-focused SPMO can lead or lag pure growth or broad NASDAQ exposure depending on prevailing market trends.

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.

Tickeron AI Verdict

Based on structural strength, diversification profile, cost efficiency, momentum stability, and risk-adjusted positioning, Tickeron’s AI would currently assign a probabilistic edge to SPMO. Its lowest expense ratio, focused momentum methodology, and adaptive sector exposure provide a compelling combination for investors seeking systematic participation in trending large-cap equities while maintaining competitive costs relative to peers.

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

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SUMMARIES
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FUNDAMENTALS
Fundamentals
QQQM has more net assets: 94.5B vs. IVW (73.5B) and SPMO (19.4B). SPMO has a higher annual dividend yield than QQQM and IVW: SPMO (23.975) vs QQQM (15.420) and IVW (9.192). IVW was incepted earlier than QQQM and SPMO: IVW (26 years) vs QQQM (6 years) and SPMO (11 years). SPMO (0.13) has a lower expense ratio than QQQM (0.15) and IVW (0.18). SPMO has a higher turnover IVW (31.00) and QQQM (6.00) vs IVW (31.00) and QQQM (6.00).
IVWQQQMSPMO
Gain YTD9.19215.42023.975
Net Assets73.5B94.5B19.4B
Total Expense Ratio0.180.150.13
Turnover31.006.0044.00
Yield0.350.420.67
Fund Existence26 years6 years11 years
TECHNICAL ANALYSIS
Technical Analysis
IVWQQQMSPMO
RSI
ODDS (%)
Bearish Trend 2 days ago
62%
Bearish Trend 2 days ago
64%
Bearish Trend 2 days ago
74%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
85%
Momentum
ODDS (%)
Bearish Trend 2 days ago
76%
Bearish Trend 2 days ago
74%
Bearish Trend 2 days ago
80%
MACD
ODDS (%)
Bearish Trend 2 days ago
71%
Bearish Trend 2 days ago
78%
Bearish Trend 2 days ago
77%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
77%
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
79%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
83%
Advances
ODDS (%)
Bullish Trend 10 days ago
86%
Bullish Trend 9 days ago
87%
Bullish Trend 8 days ago
83%
Declines
ODDS (%)
Bearish Trend 6 days ago
77%
Bearish Trend 6 days ago
80%
Bearish Trend 6 days ago
75%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
72%
Bearish Trend 2 days ago
73%
Bearish Trend 2 days ago
79%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
85%
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IVW
Daily Signal:
Gain/Loss:
QQQM
Daily Signal:
Gain/Loss:
SPMO
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 LRCX. 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 LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPMO
1D Price
Change %
SPMO100%
-0.25%
LRCX - SPMO
71%
Closely correlated
+0.84%
AVGO - SPMO
67%
Closely correlated
-1.12%
KLAC - SPMO
67%
Closely correlated
+1.49%
ETN - SPMO
65%
Loosely correlated
-0.35%
AMAT - SPMO
64%
Loosely correlated
+1.43%
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