IWF
Price
$123.07
Change
-$2.01 (-1.61%)
Updated
Aug 18 closing price
Net Assets
128.18B
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
Interact to see
Advertisement

IWF vs SPMO

IWF vs SPMO Comparison Chart in %
loading
loading
View a ticker or compare two or three
A.I.Advisor
Aug 16, 2026

Which ETF would AI Choose? iShares Russell 1000 Growth ETF (IWF) vs. Invesco S&P 500 Momentum ETF (SPMO)

Key Takeaways

  • IWF provides broad passive exposure to large- and mid-cap U.S. growth stocks via the Russell 1000 Growth Index, while SPMO applies a momentum factor screen to select approximately 100 high-momentum stocks from the S&P 500.
  • Both ETFs are heavily weighted toward Information Technology, but SPMO’s momentum methodology can lead to more concentrated bets and periodic sector rotations compared with IWF’s broader growth universe.
  • SPMO offers a lower expense ratio of 0.13% versus IWF’s 0.18%, potentially enhancing net returns for long-term holders despite the active-style rebalancing inherent in momentum indexing.
  • IWF holds roughly 370 securities and includes mid-cap growth names, offering greater diversification than SPMO’s more focused 100-stock portfolio.
  • SPMO’s strategy emphasizes recent price strength and earnings momentum, which may amplify outperformance during strong market trends but can increase turnover and volatility relative to IWF’s static growth index approach.
  • Both funds target similar investor goals of capital appreciation in U.S. equities but differ in risk profiles: IWF emphasizes consistent growth characteristics, while SPMO prioritizes dynamic momentum signals.

Introduction

Investors seeking U.S. large-cap equity exposure with a growth tilt often evaluate iShares Russell 1000 Growth ETF (IWF) and Invesco S&P 500 Momentum ETF (SPMO) as complementary or alternative options. These exchange-traded funds (ETFs) do not compete directly; instead, they represent distinct strategies within the growth and large-cap segments. IWF delivers systematic exposure to companies exhibiting strong growth metrics across a wide market-cap spectrum, whereas SPMO isolates momentum leaders within the S&P 500. In the current environment of technological innovation and shifting market leadership, comparing their structural features, cost structures, and positioning helps investors align selections with specific risk tolerances and objectives.

iShares Russell 1000 Growth ETF (IWF) Overview

The iShares Russell 1000 Growth ETF (IWF) is a passively managed fund that seeks to track the Russell 1000 Growth Index. This index selects large- and mid-cap U.S. stocks based on growth characteristics such as earnings and sales growth forecasts. The ETF typically holds approximately 370 securities, providing diversified exposure across the growth segment. Top holdings generally include major technology and growth companies, while sector allocations are dominated by Information Technology (around 55%), followed by Communication Services and Industrials. IWF maintains an expense ratio of 0.18% and employs a representative sampling strategy. Its distinguishing feature is broad, rules-based inclusion of both large- and mid-cap growth stocks without active factor 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 roughly 100 stocks from the S&P 500 with the highest momentum scores based on recent price performance and earnings trends. SPMO holds approximately 100 securities, resulting in a more concentrated portfolio. Sector weights are led by Information Technology (around 51-52%), with notable allocations to Industrials and Communication Services. The ETF carries an expense ratio of 0.13%. Its core distinction lies in the momentum-based selection and periodic rebalancing process, which dynamically adjusts holdings to favor stocks demonstrating strong relative strength.

Industry and Thematic Backdrop

Both ETFs operate within the large-cap U.S. equity market, with pronounced exposure to technology-driven growth themes. Key catalysts include ongoing advancements in artificial intelligence, semiconductor demand, and digital infrastructure spending. Capital flows into growth-oriented strategies have remained resilient amid interest-rate stabilization expectations and corporate earnings cycles. Macroeconomic drivers such as productivity gains from technological adoption support the sector, while risks include regulatory scrutiny on large technology firms, potential supply-chain disruptions, and shifts in monetary policy that could affect valuation multiples. Sector rotation toward momentum names can accelerate during periods of strong economic data, influencing relative performance between broad growth and factor-specific approaches.

Performance and Positioning Comparison

In recent market cycles, IWF has delivered steady participation in broad growth rallies due to its diversified holdings across large- and mid-cap names. SPMO’s momentum screen has positioned it to capture amplified gains when leadership concentrates in high-momentum stocks, often resulting in stronger relative returns during trend-driven periods but potentially larger drawdowns when momentum reverses. Both funds exhibit sensitivity to technology earnings cycles and interest-rate expectations, yet SPMO’s narrower, rebalanced construction introduces greater volatility tied to factor timing. IWF’s inclusion of mid-cap growth stocks may provide a modest buffer during rotations away from mega-cap leaders. Overall, relative positioning reflects a trade-off between IWF’s structural consistency and SPMO’s adaptive momentum exposure.

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. Visit the AI Screener to explore data-driven insights for your investment decisions.

Tickeron AI Verdict

Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a modest probabilistic edge to Invesco S&P 500 Momentum ETF (SPMO). Its lower expense ratio combined with a focused momentum methodology offers potential advantages in capturing prevailing trends, provided investors accept the associated concentration and rebalancing dynamics. iShares Russell 1000 Growth ETF (IWF) remains a strong alternative for those prioritizing broader exposure and lower turnover. Selection should align with individual risk parameters and time horizons.

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
IWF 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 IWF is a Hold and SPMO is a Hold.

Interact to see
Advertisement
SUMMARIES
Loading...
FUNDAMENTALS
Fundamentals
IWF has more net assets: 128B vs. SPMO (21.7B). SPMO has a higher annual dividend yield than IWF: SPMO (27.019) vs IWF (4.469). IWF was incepted earlier than SPMO: IWF (26 years) vs SPMO (11 years). SPMO (0.13) has a lower expense ratio than IWF (0.18). SPMO has a higher turnover IWF (16.00) vs IWF (16.00).
IWFSPMOIWF / SPMO
Gain YTD4.46927.01917%
Net Assets128B21.7B590%
Total Expense Ratio0.180.13138%
Turnover16.0044.0036%
Yield0.360.7350%
Fund Existence26 years11 years-
TECHNICAL ANALYSIS
Technical Analysis
IWFSPMO
RSI
ODDS (%)
Bullish Trend 1 day ago
77%
Bullish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
78%
Bearish Trend 1 day ago
80%
Momentum
ODDS (%)
Bearish Trend 1 day ago
80%
Bearish Trend 1 day ago
82%
MACD
ODDS (%)
Bullish Trend 1 day ago
76%
Bullish Trend 1 day ago
85%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
80%
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
80%
Bearish Trend 8 days ago
76%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
85%
Aroon
ODDS (%)
Bearish Trend 1 day ago
75%
Bearish Trend 1 day ago
72%
View a ticker or compare two or three
Interact to see
Advertisement
IWF
Daily Signal:
Gain/Loss:
SPMO
Daily Signal:
Gain/Loss:
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
ETFs / NAMEPrice $Chg $Chg %
JHAC15.77N/A
N/A
JHancock Fundamental All Cap Core ETF
QIDX11.98N/A
N/A
Indexperts Quality Earnings Focused ETF
MPA11.08-0.01
-0.09%
Blackrock Muniyield Pennsylvania Quality Fund
CSRE28.93-0.05
-0.17%
Cohen & Steers Real Estate Active ETF
DON58.22-0.33
-0.56%
WisdomTree US MidCap Dividend ETF

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