Investors seeking large-cap U.S. equity exposure often compare growth-oriented and momentum-based strategies, particularly amid ongoing interest in technology-driven market segments. The iShares Russell 1000 Growth ETF (IWF) and Invesco S&P 500 Momentum ETF (SPMO) do not compete directly as identical products. Instead, they represent distinct approaches to capturing performance in overlapping large-cap universes. IWF delivers passive tracking of a broad growth index, while SPMO applies a rules-based momentum filter to S&P 500 components. This comparison highlights structural distinctions that help investors align portfolios with specific risk tolerances and objectives in the current environment.
The iShares Russell 1000 Growth ETF (IWF) seeks to track the Russell 1000 Growth Index, which measures the performance of large- and mid-capitalization U.S. growth stocks. It holds approximately 370 securities and employs representative sampling for efficient replication. Top holdings typically include NVDA, AAPL, MSFT, AVGO, and Alphabet shares, with technology comprising over 50% of the portfolio. Sector allocations emphasize information technology, communication services, and consumer discretionary. The fund charges an expense ratio of 0.18% and operates as a passive, open-ended structure with quarterly rebalancing aligned to index methodology. Its scale supports high liquidity and tight spreads.
The Invesco S&P 500 Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, selecting approximately 100 stocks from the S&P 500 with the highest momentum scores based on recent relative performance adjusted for volatility. Holdings concentrate in names such as MU, NVDA, AVGO, and select semiconductor and technology leaders. Technology exposure often exceeds 50%, supplemented by industrials and communication services. The expense ratio stands at 0.13%. The fund uses a passive approach with semi-annual reconstitution and rebalancing in March and September, weighting constituents by market capitalization and momentum score. It remains non-diversified by design to emphasize high-momentum opportunities.
Both ETFs operate within the large-cap U.S. equity space, where technology and growth themes have driven capital flows in recent market cycles. Artificial intelligence advancements, semiconductor demand, and earnings momentum in mega-cap names continue to influence sector rotation. Macroeconomic factors such as interest rate expectations and corporate spending on digital infrastructure support these exposures. Risks include valuation compression in high-growth areas, regulatory scrutiny of large technology firms, and potential shifts in investor sentiment toward value or defensive sectors. Momentum strategies may amplify short-term rotations, while broad growth indexes provide more stable sector representation over longer periods.
In recent weeks and months, both ETFs have reflected strength in technology and momentum-driven segments, though their responses to market rotations differ. IWF delivers consistent exposure to established growth companies, resulting in moderate volatility tied to broader large-cap trends. SPMO can exhibit sharper moves during periods when recent outperformers accelerate, owing to its concentrated holdings and momentum focus. Relative positioning favors IWF for investors prioritizing diversification across hundreds of holdings and SPMO for those seeking amplified exposure to prevailing trends within the S&P 500. Over multiple market cycles, the lower cost and dynamic rebalancing of SPMO may influence long-term compounding compared to the broader but higher-fee structure of IWF.
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. Investors comparing ETFs like IWF and SPMO may find the tool useful for uncovering additional ideas aligned with their criteria.
Based on observable factors including lower expense ratio, momentum-driven sector alignment in recent cycles, and efficient semi-annual rebalancing, Tickeron’s AI would currently assign a modestly higher probability of favorable relative positioning to Invesco S&P 500 Momentum ETF (SPMO). Its concentrated approach and cost structure may better capture prevailing trends within the S&P 500, though iShares Russell 1000 Growth ETF (IWF) retains advantages in diversification and liquidity for core allocations. This assessment reflects structural characteristics rather than short-term forecasts.
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 | 4.427 | 26.657 | 17% |
| Net Assets | 126B | 22.6B | 558% |
| Total Expense Ratio | 0.18 | 0.13 | 138% |
| Turnover | 16.00 | 44.00 | 36% |
| Yield | 0.35 | 0.71 | 49% |
| Fund Existence | 26 years | 11 years | - |
| IWF | SPMO | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 70% |
| Momentum ODDS (%) | 1 day ago 82% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 81% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 84% |
| Advances ODDS (%) | 7 days ago 85% | 1 day ago 82% |
| Declines ODDS (%) | 1 day ago 80% | 21 days ago 76% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 56% |
| Aroon ODDS (%) | N/A | 1 day ago 88% |
A.I.dvisor indicates that over the last year, IWF has been closely correlated with CDNS. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWF jumps, then CDNS could also see price increases.
| Ticker / NAME | Correlation To IWF | 1D Price Change % | ||
|---|---|---|---|---|
| IWF | 100% | -0.32% | ||
| CDNS - IWF | 79% Closely correlated | -2.93% | ||
| SNPS - IWF | 78% Closely correlated | -0.46% | ||
| MSFT - IWF | 77% Closely correlated | -1.15% | ||
| AMZN - IWF | 74% Closely correlated | -0.60% | ||
| KLAC - IWF | 73% Closely correlated | +1.82% | ||
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A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.50% | ||
| GLW - SPMO | 72% Closely correlated | +7.56% | ||
| ETN - SPMO | 72% Closely correlated | +2.75% | ||
| PWR - SPMO | 66% Loosely correlated | +2.34% | ||
| CMI - SPMO | 65% Loosely correlated | +0.14% | ||
| GEV - SPMO | 62% Loosely correlated | +3.12% | ||
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