Investors seeking U.S. large-cap growth exposure often evaluate iShares Russell 1000 Growth ETF (IWF) and Invesco S&P 500® Momentum ETF (SPMO) as complementary yet distinct options. These ETFs do not compete directly; instead, they represent alternative strategies within the growth and large-cap equity space. IWF offers style-based exposure to companies exhibiting strong growth metrics, while SPMO applies a momentum overlay to S&P 500 constituents. The comparison helps investors understand trade-offs in diversification, cost, and factor exposure amid evolving market conditions.
The iShares Russell 1000 Growth ETF (IWF) seeks to track the Russell 1000 Growth Index, which selects large- and mid-cap U.S. stocks based on growth forecasts and historical sales growth. It holds approximately 390 securities and maintains a passive, rules-based structure. Top holdings typically include NVDA, AAPL, MSFT, AVGO, and AMZN. Sector allocations emphasize Information Technology (around 52%), Consumer Discretionary (around 13%), and Communication Services (around 12%). The fund carries an expense ratio of 0.18% and provides broad diversification within the growth style segment of the equity market.
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 strongest recent price performance. It employs a passive strategy with semi-annual rebalancing. Holdings concentrate on momentum leaders, often featuring high exposure to Information Technology (around 49%) and Industrials (around 14%). The expense ratio stands at 0.13%. As a non-diversified fund, it delivers targeted factor exposure while remaining fully invested in large-cap U.S. equities.
Both ETFs operate within the U.S. large-cap equity market, where technology and growth-oriented sectors continue to influence capital allocation. Macroeconomic factors such as interest rate expectations, corporate earnings trends in technology, and broader economic growth shape performance dynamics. Momentum strategies like that of SPMO can benefit from persistent trends, while style-based growth approaches like IWF provide exposure across varying market regimes. Sector rotation, regulatory developments in technology, and shifts in investor risk appetite remain key environmental drivers.
In recent market cycles, IWF has delivered steady exposure to growth characteristics, benefiting from sustained strength in large technology names. SPMO has shown sensitivity to momentum shifts, potentially outperforming during periods of strong trend continuation and underperforming when momentum reverses. Relative positioning highlights IWF’s broader diversification versus SPMO’s concentrated factor tilt, leading to differing volatility profiles across interest rate and earnings environments.
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Based on structural characteristics, SPMO may currently hold a modest edge due to its lower expense ratio, concentrated momentum exposure, and alignment with prevailing sector trends. IWF remains compelling for investors prioritizing broad diversification and style consistency. The preference reflects observable factors including cost efficiency and factor momentum without constituting investment advice.
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| IWF | SPMO | IWF / SPMO | |
| Gain YTD | 3.105 | 26.556 | 12% |
| Net Assets | 124B | 19.4B | 639% |
| Total Expense Ratio | 0.18 | 0.13 | 138% |
| Turnover | 13.00 | 44.00 | 30% |
| Yield | 0.33 | 0.67 | 49% |
| Fund Existence | 26 years | 11 years | - |
| IWF | SPMO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 74% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 76% |
| MACD ODDS (%) | 2 days ago 82% | 2 days ago 77% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 83% |
| Advances ODDS (%) | 11 days ago 85% | 9 days ago 83% |
| Declines ODDS (%) | 2 days ago 78% | 2 days ago 75% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| TINT | 41.39 | 1.59 | +3.99% |
| ProShares Smart Materials ETF | |||
| FCLD | 36.86 | 0.46 | +1.26% |
| Fidelity Cloud Computing ETF | |||
| LQTI | 19.33 | 0.13 | +0.65% |
| FT Vest Investment Grade & Target Income ETF | |||
| LMBS | 49.83 | 0.08 | +0.16% |
| First Trust Low Duration Oppos ETF | |||
| LQDH | 93.23 | 0.12 | +0.13% |
| iShares Interest Rate Hedged Corp Bd ETF | |||
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% | +1.57% | ||
| CDNS - IWF | 79% Closely correlated | -0.36% | ||
| SNPS - IWF | 78% Closely correlated | -0.92% | ||
| MSFT - IWF | 77% Closely correlated | -1.77% | ||
| AMZN - IWF | 74% Closely correlated | +1.47% | ||
| KLAC - IWF | 73% Closely correlated | +12.92% | ||
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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.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +4.80% | ||
| LRCX - SPMO | 71% Closely correlated | +12.65% | ||
| AVGO - SPMO | 67% Closely correlated | +3.62% | ||
| KLAC - SPMO | 67% Closely correlated | +12.92% | ||
| ETN - SPMO | 65% Loosely correlated | +4.84% | ||
| AMAT - SPMO | 64% Loosely correlated | +11.19% | ||
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