Investors evaluating large-cap U.S. equity strategies often compare growth-oriented benchmarks with factor-based approaches. The Invesco NASDAQ 100 ETF (QQQM) and Invesco S&P 500® Momentum ETF (SPMO) represent distinct paths to similar objectives: exposure to innovative and high-performing companies. While QQQM delivers straightforward market-cap exposure to the Nasdaq-100, SPMO applies a momentum overlay on the broader S&P 500. These ETFs do not compete directly but serve as complementary or alternative tools for investors seeking growth with varying degrees of factor emphasis and sector tilts in the current market environment.
The Invesco NASDAQ 100 ETF (QQQM) is a passively managed exchange-traded fund that seeks to track the investment results of the NASDAQ-100 Index. The index comprises the 100 largest non-financial companies listed on the Nasdaq exchange, weighted by market capitalization. As of recent data, the fund holds approximately 103 securities. Top holdings typically include NVIDIA Corporation, Apple Inc., Microsoft Corporation, Amazon.com Inc., and Alphabet Inc., reflecting significant concentration in technology, consumer discretionary, and communication services sectors. The expense ratio stands at 0.15%. The fund rebalances quarterly and reconstitutes annually to maintain alignment with the index. Its structure emphasizes large-cap growth characteristics with a focus on innovation-driven companies.
The Invesco S&P 500® Momentum ETF (SPMO) is a passively managed exchange-traded fund designed to track the S&P 500 Momentum Index. This index selects and weights approximately 100 stocks from the S&P 500 Index based on a momentum score that incorporates recent price performance adjusted for volatility. The fund typically maintains around 100 holdings, with top positions often including high-momentum names such as Micron Technology Inc. and NVIDIA Corporation. Sector allocations shift dynamically but frequently emphasize technology and other cyclical areas. The expense ratio is 0.13%. Rebalancing occurs semi-annually to reflect changes in momentum rankings. The strategy provides targeted exposure to large-cap equities exhibiting strong recent trends.
Both ETFs operate within the large-cap U.S. equity space, heavily influenced by technology sector dynamics. Key macro drivers include artificial intelligence adoption, semiconductor demand, and broader growth stock valuations. Capital flows into innovative companies have supported momentum characteristics, while interest rate expectations and earnings cycles influence sector rotation. Regulatory developments around technology and potential shifts in monetary policy remain relevant risks. The environment favors strategies that balance growth exposure with factor resilience during periods of economic expansion and volatility.
In recent market cycles, QQQM has delivered consistent exposure aligned with Nasdaq-100 leaders, benefiting from sustained technology outperformance. SPMO has shown sensitivity to momentum shifts, potentially capturing stronger relative returns during trending markets but experiencing higher turnover and volatility when trends reverse. Relative positioning highlights QQQM's broader diversification within growth names versus SPMO's concentrated bets on recent winners. Both exhibit lower costs than many active peers, supporting long-term compounding in favorable equity environments.
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 structural factors including lower expense ratio, dynamic momentum exposure, and alignment with prevailing sector trends, Tickeron’s AI would currently assign a higher probability of favorability to the Invesco S&P 500® Momentum ETF (SPMO). This assessment reflects its cost efficiency and potential for capturing sustained equity momentum within a diversified large-cap framework, though outcomes remain subject to market conditions.
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| QQQM | SPMO | QQQM / SPMO | |
| Gain YTD | 14.956 | 21.261 | 70% |
| Net Assets | 98B | 20.4B | 480% |
| Total Expense Ratio | 0.15 | 0.13 | 115% |
| Turnover | 6.00 | 44.00 | 14% |
| Yield | 0.42 | 0.67 | 62% |
| Fund Existence | 6 years | 11 years | - |
| QQQM | SPMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 82% | 1 day ago 74% |
| Stochastic ODDS (%) | 1 day ago 75% | 1 day ago 74% |
| Momentum ODDS (%) | 1 day ago 79% | 1 day ago 80% |
| MACD ODDS (%) | 1 day ago 84% | 1 day ago 79% |
| TrendWeek ODDS (%) | 1 day ago 80% | 1 day ago 79% |
| TrendMonth ODDS (%) | 1 day ago 88% | 1 day ago 83% |
| Advances ODDS (%) | 5 days ago 87% | 4 days ago 83% |
| Declines ODDS (%) | 1 day ago 80% | 1 day ago 75% |
| BollingerBands ODDS (%) | 1 day ago 79% | 1 day ago 80% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IBIC | 26.09 | 0.01 | +0.03% |
| iShares iBonds Oct 2026 Term Tips ETF | |||
| GVI | 105.50 | -0.34 | -0.32% |
| iShares Intermediate Govt/Crdt Bd ETF | |||
| LRGE | 84.63 | -2.91 | -3.33% |
| ClearBridge Large Cap Growth Select ETF | |||
| TNUK | 24.52 | -1.36 | -5.27% |
| Tortoise Nuclear Renaissance ETF | |||
| AIS | 70.83 | -9.42 | -11.74% |
| VistaShares Artificial Intelligence Supercycle ETF | |||
A.I.dvisor indicates that over the last year, QQQM has been closely correlated with LRCX. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if QQQM jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QQQM | 1D Price Change % | ||
|---|---|---|---|---|
| QQQM | 100% | -4.78% | ||
| LRCX - QQQM | 70% Closely correlated | -9.85% | ||
| NVDA - QQQM | 69% Closely correlated | -6.20% | ||
| KLAC - QQQM | 66% Closely correlated | -9.47% | ||
| AMAT - QQQM | 65% Loosely correlated | -9.71% | ||
| ASML - QQQM | 65% Loosely correlated | -6.59% | ||
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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 69% 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% | -5.59% | ||
| LRCX - SPMO | 69% Closely correlated | -9.85% | ||
| AVGO - SPMO | 66% Closely correlated | -7.92% | ||
| KLAC - SPMO | 64% Loosely correlated | -9.47% | ||
| AMAT - SPMO | 64% Loosely correlated | -9.71% | ||
| ETN - SPMO | 63% Loosely correlated | -5.42% | ||
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