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.
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.
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.
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.
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.
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.
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.
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.
| IWF | SPMO | IWF / SPMO | |
| Gain YTD | 4.469 | 27.019 | 17% |
| Net Assets | 128B | 21.7B | 590% |
| Total Expense Ratio | 0.18 | 0.13 | 138% |
| Turnover | 16.00 | 44.00 | 36% |
| Yield | 0.36 | 0.73 | 50% |
| Fund Existence | 26 years | 11 years | - |
| IWF | SPMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 77% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 78% | 1 day ago 80% |
| Momentum ODDS (%) | 1 day ago 80% | 1 day ago 82% |
| MACD ODDS (%) | 1 day ago 76% | 1 day ago 85% |
| TrendWeek ODDS (%) | 1 day ago 80% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 88% | 1 day ago 84% |
| Advances ODDS (%) | 6 days ago 84% | 5 days ago 82% |
| Declines ODDS (%) | 1 day ago 80% | 8 days ago 76% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 85% |
| Aroon ODDS (%) | 1 day ago 75% | 1 day ago 72% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| JHAC | 15.77 | N/A | N/A |
| JHancock Fundamental All Cap Core ETF | |||
| QIDX | 11.98 | N/A | N/A |
| Indexperts Quality Earnings Focused ETF | |||
| MPA | 11.08 | -0.01 | -0.09% |
| Blackrock Muniyield Pennsylvania Quality Fund | |||
| CSRE | 28.93 | -0.05 | -0.17% |
| Cohen & Steers Real Estate Active ETF | |||
| DON | 58.22 | -0.33 | -0.56% |
| WisdomTree US MidCap Dividend ETF | |||
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.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | -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 | ||||