These three exchange-traded funds (ETFs) represent distinct approaches to U.S. large-cap equity growth exposure. Invesco QQQ Trust (QQQ) tracks the Nasdaq-100 Index, Invesco S&P 500 Momentum ETF (SPMO) follows a momentum factor within the S&P 500, and Vanguard Growth ETF (VUG) tracks a broad large-cap growth index. Investors compare them to evaluate trade-offs between cost, concentration, factor exposure, and structural design in the current environment of technology-driven market leadership and evolving monetary policy.
Invesco QQQ Trust (QQQ) is a unit investment trust that seeks to track the Nasdaq-100 Index, which includes the 100 largest non-financial companies listed on the Nasdaq. The fund holds approximately 102 securities and is market-capitalization weighted. Top holdings typically include NVIDIA Corporation, Apple Inc., Microsoft Corporation, Amazon.com Inc., and Alphabet Inc. The portfolio shows pronounced concentration in the information technology sector, with additional exposure to consumer discretionary and communication services. The expense ratio stands at 0.18%. As a passive, rules-based vehicle, it rebalances quarterly in line with index changes and offers high liquidity on the Nasdaq exchange.
Invesco S&P 500 Momentum ETF (SPMO) is an exchange-traded fund that tracks the S&P 500 Momentum Index, selecting securities from the S&P 500 based on 12-month risk-adjusted momentum scores. It typically holds around 99 to 100 stocks and applies quarterly rebalancing to maintain the momentum characteristics. Top holdings often feature companies such as Micron Technology Inc., NVIDIA Corporation, Broadcom Inc., Alphabet Inc., and Advanced Micro Devices Inc. The strategy results in elevated exposure to information technology and variable sector allocations driven by momentum signals. The expense ratio is 0.13%. This smart-beta approach emphasizes recent price strength rather than pure market capitalization.
Vanguard Growth ETF (VUG) seeks to track the CRSP US Large Cap Growth Index, which selects large-capitalization U.S. growth stocks using multiple growth and value metrics. The fund holds approximately 153 to 158 securities and employs market-capitalization weighting. Top holdings commonly include NVIDIA Corporation, Apple Inc., Microsoft Corporation, Alphabet Inc., and Broadcom Inc., with significant information technology and consumer discretionary allocations. The expense ratio is 0.03%. As a low-cost, passively managed fund, it rebalances periodically to align with the underlying index and provides broad, diversified exposure to U.S. large-cap growth equities.
The technology sector continues to drive market performance amid ongoing innovation in artificial intelligence, semiconductors, and cloud computing. Capital flows into growth-oriented strategies reflect investor preference for companies demonstrating strong earnings growth. Macroeconomic drivers include Federal Reserve monetary policy, inflation trends, and corporate capital expenditure cycles. Regulatory developments around data privacy, antitrust, and export controls on advanced chips introduce sector-specific risks. Geopolitical tensions may affect supply chains for key components. Earnings trends among mega-cap technology firms remain a primary influence on overall market direction and relative performance across growth and momentum strategies.
In recent months, performance differences have stemmed primarily from variations in concentration and factor exposure. Invesco QQQ Trust (QQQ) and Vanguard Growth ETF (VUG) have shown similar trend consistency due to overlapping large technology holdings, though Vanguard Growth ETF (VUG) benefits from lower costs that can compound over longer periods. Invesco S&P 500 Momentum ETF (SPMO) has exhibited greater sensitivity to short-term price momentum shifts, leading to potentially higher volatility during rotations away from recent winners. Drawdowns in all three have been influenced by interest-rate expectations and technology earnings reports. The momentum rebalancing in Invesco S&P 500 Momentum ETF (SPMO) can amplify outperformance in trending markets but may lag in mean-reverting environments compared to the more static large-cap growth tilts of the other two ETFs.
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. Access the AI Screener to streamline your research process.
Based on structural characteristics, Tickeron’s AI would currently assign a modest probabilistic preference to Vanguard Growth ETF (VUG) due to its combination of ultra-low expense ratio, broad diversification within the large-cap growth universe, and efficient passive construction. Invesco QQQ Trust (QQQ) offers compelling liquidity and thematic purity, while Invesco S&P 500 Momentum ETF (SPMO) provides differentiated factor exposure at a reasonable cost. Final selection depends on individual investor objectives regarding cost sensitivity, desired momentum tilt, and tolerance for concentration risk.
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| QQQ | SPMO | VUG | |
| Gain YTD | 16.445 | 36.076 | 5.645 |
| Net Assets | 492B | 22.3B | 394B |
| Total Expense Ratio | 0.18 | 0.13 | 0.03 |
| Turnover | 7.98 | 44.00 | 12.00 |
| Yield | 0.38 | 0.67 | 0.37 |
| Fund Existence | 27 years | 11 years | 22 years |
| QQQ | SPMO | VUG | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 82% | 2 days ago 83% | 2 days ago 85% |
| Stochastic ODDS (%) | 2 days ago 74% | 2 days ago 75% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 89% | 2 days ago 87% |
| MACD ODDS (%) | 2 days ago 82% | 2 days ago 82% | 2 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 88% | 2 days ago 83% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 83% | 2 days ago 85% |
| Advances ODDS (%) | 9 days ago 87% | 2 days ago 83% | 9 days ago 85% |
| Declines ODDS (%) | 7 days ago 80% | 14 days ago 75% | 7 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 74% | 2 days ago 86% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 85% | 2 days ago 90% |
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% | +1.26% | ||
| LRCX - SPMO | 73% Closely correlated | +5.27% | ||
| AVGO - SPMO | 69% Closely correlated | -4.52% | ||
| KLAC - SPMO | 69% Closely correlated | +3.70% | ||
| AMAT - SPMO | 68% Closely correlated | +3.74% | ||
| ETN - SPMO | 67% Closely correlated | +3.32% | ||
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A.I.dvisor indicates that over the last year, VUG has been closely correlated with NVDA. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To VUG | 1D Price Change % | ||
|---|---|---|---|---|
| VUG | 100% | -1.24% | ||
| NVDA - VUG | 74% Closely correlated | -0.97% | ||
| RVTY - VUG | 70% Closely correlated | -0.96% | ||
| AMZN - VUG | 63% Loosely correlated | -4.75% | ||
| LRCX - VUG | 62% Loosely correlated | +5.27% | ||
| AVGO - VUG | 62% Loosely correlated | -4.52% | ||
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