Schwab U.S. Large-Cap Growth ETF (SCHG) and Invesco S&P 500® Momentum ETF (SPMO) both target large-cap U.S. equities with growth characteristics, yet they employ distinct methodologies that appeal to different investor objectives. SCHG provides straightforward, low-cost tracking of a broad growth index, while SPMO applies a rules-based momentum filter to the S&P 500. These ETFs do not compete directly for identical mandates but offer investors complementary approaches to large-cap growth exposure within the same market segment, allowing portfolio construction choices based on cost, diversification, and factor preferences.
Schwab U.S. Large-Cap Growth ETF (SCHG) seeks to track the Dow Jones U.S. Large-Cap Growth Total Stock Market Index, which measures the performance of large-cap U.S. stocks selected for growth attributes such as higher revenue and earnings growth rates. The fund is passively managed and typically holds around 197 securities. Top holdings commonly include companies such as AAPL, NVDA, MSFT, AMZN, and GOOGL. Sector allocations emphasize technology and consumer discretionary, reflecting the growth orientation of the underlying index. The expense ratio stands at 0.04%. SCHG employs a market-capitalization-weighted methodology with quarterly rebalancing to maintain alignment with the index, delivering cost-efficient, diversified exposure to established large-cap growth companies.
Invesco S&P 500® Momentum ETF (SPMO) is designed to track the S&P 500 Momentum Index, which selects approximately 100 stocks from the S&P 500 with the highest momentum scores based on recent price performance. The fund is passively managed and maintains a more concentrated portfolio of roughly 100 holdings. Top positions often feature momentum leaders within technology and other high-performing sectors. Sector exposure tends to tilt toward areas exhibiting strong recent trends. The expense ratio is 0.13%. SPMO follows a semi-annual rebalancing schedule tied to its momentum methodology, resulting in a dynamic allocation that rotates toward stocks demonstrating sustained price strength within the S&P 500.
Both ETFs operate within the large-cap U.S. equity growth segment, heavily influenced by technology sector leadership and broader macroeconomic conditions. Key drivers include earnings growth among mega-cap technology companies, capital allocation trends favoring innovation-driven businesses, and investor sentiment toward growth factors. Regulatory developments around technology competition and interest rate expectations can affect valuations across growth stocks. Sector risks encompass concentration in a limited number of large issuers, potential shifts in monetary policy, and evolving competitive dynamics within technology and consumer discretionary industries. Capital flows into growth-oriented strategies have supported both passive index and momentum-based approaches during recent market cycles.
In recent market cycles, Schwab U.S. Large-Cap Growth ETF (SCHG) has delivered steady participation in large-cap growth rallies through its diversified holdings, benefiting from consistent exposure to established leaders. Invesco S&P 500® Momentum ETF (SPMO) has shown differentiated behavior during periods of strong momentum in select stocks, potentially capturing outsized gains when momentum trends persist but experiencing greater rotation effects during shifts in leadership. Relative positioning highlights SCHG’s broader diversification and lower volatility profile versus SPMO’s sensitivity to momentum reversals. Sector rotation favoring technology has supported both funds, while changes in interest rate expectations and earnings cycles of top holdings influence their relative performance. Investors evaluating positioning should consider SCHG’s cost efficiency alongside SPMO’s factor tilt when constructing portfolios for varying market regimes.
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 seeking data-driven insights into ETFs like SCHG and SPMO can leverage the platform’s analytical capabilities to refine their research process.
Based on observable structural factors, Tickeron’s AI would likely assign a probabilistic edge to Schwab U.S. Large-Cap Growth ETF (SCHG) for most core allocation scenarios due to its materially lower expense ratio, broader diversification across nearly 200 holdings, and straightforward passive methodology. Invesco S&P 500® Momentum ETF (SPMO) may appeal in environments where momentum factor consistency is prioritized, though its higher cost and more concentrated profile introduce additional considerations around turnover and sector concentration. The choice ultimately depends on an investor’s preference for cost efficiency versus momentum exposure within large-cap growth strategies.
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.
| SCHG | SPMO | SCHG / SPMO | |
| Gain YTD | 8.491 | 24.174 | 35% |
| Net Assets | 62.4B | 21.8B | 286% |
| Total Expense Ratio | 0.04 | 0.13 | 31% |
| Turnover | 27.00 | 44.00 | 61% |
| Yield | 0.39 | 0.73 | 53% |
| Fund Existence | 17 years | 11 years | - |
| SCHG | SPMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 82% | 1 day ago 83% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| Momentum ODDS (%) | 1 day ago 74% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 76% | 1 day ago 79% |
| TrendWeek ODDS (%) | 1 day ago 80% | 1 day ago 80% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 84% |
| Advances ODDS (%) | 23 days ago 84% | 1 day ago 81% |
| Declines ODDS (%) | 9 days ago 79% | 7 days ago 76% |
| BollingerBands ODDS (%) | 1 day ago 76% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IMCG | 98.37 | 0.45 | +0.46% |
| iShares Morningstar Mid-Cap Growth ETF | |||
| LQDH | 92.84 | 0.11 | +0.12% |
| iShares Interest Rate Hedged Corp Bd ETF | |||
| ZAUG | 27.88 | -0.01 | -0.04% |
| Innovator Equity Defined Prt ETF -1YrAug | |||
| FKU | 57.30 | -0.32 | -0.55% |
| First Trust United Kingdom AlphaDEX® ETF | |||
| SNAG | 5.50 | -1.11 | -16.75% |
| Leverage Shares 2X Long SNAP Daily ETF | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with ETN. 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 ETN could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.07% | ||
| ETN - SPMO | 72% Closely correlated | +2.50% | ||
| GLW - SPMO | 72% Closely correlated | +3.82% | ||
| PWR - SPMO | 66% Loosely correlated | +2.14% | ||
| CMI - SPMO | 66% Loosely correlated | +0.96% | ||
| GEV - SPMO | 62% Loosely correlated | +2.84% | ||
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