Schwab U.S. Large-Cap Growth ETF (SCHG) and Invesco S&P 500 Momentum ETF (SPMO) represent two distinct approaches to large-cap U.S. equity exposure. SCHG delivers comprehensive growth-style coverage, while SPMO applies a rules-based momentum overlay within the S&P 500. Investors comparing these ETFs often evaluate trade-offs between broad growth participation and factor-driven selection that targets recent price strength. In the current environment of technological innovation and shifting market leadership, these funds offer alternative pathways to similar investor objectives of capital appreciation within established U.S. companies. The comparison highlights structural differences that influence long-term positioning and risk profiles.
The Schwab U.S. Large-Cap Growth ETF (SCHG) is a passively managed fund that seeks to track the Dow Jones U.S. Large-Cap Growth Total Stock Market Index. This index measures the performance of large-cap growth stocks selected from the broader U.S. equity market based on growth characteristics such as earnings and revenue expansion. The ETF holds approximately 197 securities, providing diversified exposure across the growth segment. Top holdings typically include leading technology and consumer companies such as NVIDIA, Apple, and Microsoft. Sector allocations are dominated by information technology (around 45%), followed by communication services (approximately 15-16%) and consumer discretionary (around 12-13%). The expense ratio stands at 0.04%, reflecting its low-cost, index-replicating structure. SCHG employs full replication methodology with periodic rebalancing aligned to the index, emphasizing liquidity and broad market representation without active stock selection.
The Invesco S&P 500 Momentum ETF (SPMO) is a passively managed fund designed to track the S&P 500 Momentum Index. This index selects approximately 100 stocks from the S&P 500 with the highest momentum scores, calculated from 12-month price performance excluding the most recent month and scaled by volatility. The ETF maintains a concentrated portfolio of roughly 100-101 holdings. Sector weights fluctuate with momentum trends but frequently emphasize information technology (near 49-53%), industrials (around 12-14%), and communication services. The expense ratio is 0.13%. SPMO uses a rules-based, non-discretionary approach with semi-annual rebalancing to maintain alignment with the momentum index, resulting in a factor-tilted strategy that prioritizes recent relative strength over static growth classification.
Both ETFs operate within the large-cap U.S. equity space, where technological advancement, artificial intelligence adoption, and corporate earnings growth serve as primary catalysts. Capital flows into innovation-driven sectors have supported elevated valuations in technology and related areas during recent market cycles. Macroeconomic factors such as interest rate expectations and economic expansion influence investor appetite for growth and momentum strategies. Regulatory developments around technology competition and data privacy present ongoing considerations, while sector risks include valuation compression if growth slows or if broader market rotations favor value or defensive areas. These dynamics shape the environment for large-cap strategies emphasizing either consistent growth profiles or price momentum.
In recent market cycles, SCHG has delivered exposure aligned with sustained growth in established large-cap names, benefiting from steady contributions across its diversified holdings during periods of broad technology leadership. SPMO, by contrast, has shown sensitivity to momentum shifts, potentially capturing outsized gains when a narrower group of strong performers dominates but experiencing greater variability during rotations away from recent leaders. Relative positioning highlights SCHG's emphasis on structural growth characteristics versus SPMO's focus on trend persistence. Volatility differences arise from SPMO's concentration and rebalancing, which can amplify responses to sector-specific catalysts compared with SCHG's broader base. Both have participated in large-cap rallies tied to earnings cycles and macroeconomic tailwinds, with positioning reflecting their respective index methodologies rather than short-term price fluctuations.
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. AI Screener
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favor to SCHG due to its lower expense ratio, greater diversification across growth holdings, and consistent alignment with broad large-cap growth trends. SPMO offers compelling momentum exposure that may suit environments with pronounced factor leadership, yet the higher cost and concentration introduce additional considerations around turnover and relative risk. The assessment remains probabilistic and centers on durable characteristics rather than any guarantee of future outcomes.
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 | 0.226 | 29.452 | 1% |
| Net Assets | 57.5B | 21.3B | 270% |
| Total Expense Ratio | 0.04 | 0.13 | 31% |
| Turnover | 27.00 | 44.00 | 61% |
| Yield | 0.36 | 0.67 | 53% |
| Fund Existence | 17 years | 11 years | - |
| SCHG | SPMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 89% | 2 days ago 81% |
| Stochastic ODDS (%) | 1 day ago 90% | 2 days ago 74% |
| Momentum ODDS (%) | 1 day ago 78% | 2 days ago 88% |
| MACD ODDS (%) | N/A | 2 days ago 78% |
| TrendWeek ODDS (%) | 1 day ago 79% | 2 days ago 79% |
| TrendMonth ODDS (%) | 1 day ago 85% | 2 days ago 83% |
| Advances ODDS (%) | 11 days ago 85% | 4 days ago 83% |
| Declines ODDS (%) | 1 day ago 79% | 2 days ago 76% |
| BollingerBands ODDS (%) | 1 day ago 90% | 2 days ago 77% |
| Aroon ODDS (%) | 1 day ago 90% | 2 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HIBL | 129.52 | 7.59 | +6.22% |
| Direxion Daily S&P 500® Hi Bt Bl 3X ETF | |||
| FFDI | 32.45 | 0.33 | +1.02% |
| Fidelity Fundamental Developed International ETF | |||
| IVOO | 129.34 | 1.13 | +0.88% |
| Vanguard S&P Mid-Cap 400 ETF | |||
| ICLO | 25.58 | N/A | N/A |
| Invesco AAA CLO Floating Rate Note ETF | |||
| ISBG | 10.65 | -0.15 | -1.42% |
| Incomestkd 1X Bitcoin & 1X Gold Premium ETF | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with LRCX. These tickers have moved in lockstep 73% 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% | -0.36% | ||
| LRCX - SPMO | 73% Closely correlated | +0.93% | ||
| AMAT - SPMO | 70% Closely correlated | +0.53% | ||
| KLAC - SPMO | 69% Closely correlated | -1.64% | ||
| AVGO - SPMO | 68% Closely correlated | +0.51% | ||
| ETN - SPMO | 67% Closely correlated | -0.17% | ||
More | ||||