In the current market environment, comparing SPMO and SPY highlights the tension between factor-driven strategies and broad-market benchmarks. SPMO, a momentum-focused ETF, selects high-performing S&P 500 constituents to capture trending sectors like AI and financials, while SPY delivers comprehensive large-cap exposure. These ETFs target similar investor goals—U.S. equity growth—but diverge in risk profiles and positioning. With persistent capital flows into technology amid moderating inflation and Fed easing, momentum tilts offer potential alpha, yet broad diversification remains essential amid policy uncertainties and sector rotations. This comparison aids investors navigating structural differences in an AI-fueled landscape.
The Invesco S&P 500® Momentum ETF (SPMO) is a passive ETF tracking the S&P 500 Momentum Index, which measures the performance of about 100 S&P 500 stocks with the highest momentum scores. Constituents are weighted by market capitalization and momentum, with semi-annual rebalancing on the third Fridays of March and September. It holds 100 securities, featuring top holdings like Broadcom Inc. (AVGO, 9.76%), NVIDIA Corp. (NVDA, 9.17%), and Meta Platforms Inc. (META, 7.66%). Sector allocations emphasize information technology (31.71%), financials (20.06%), and communication services (14.32%). The expense ratio is 0.13%, AUM stands at $13.51 billion, and average daily volume exceeds 1.3 million shares, supporting strong liquidity. As a thematic momentum fund, SPMO amplifies trends but carries elevated volatility risk.
The State Street® SPDR® S&P 500® ETF Trust (SPY), launched in 1993 as the first U.S.-listed ETF, is a unit investment trust passively tracking the S&P 500 Index for broad large-cap exposure. It holds 503 securities, with top holdings including NVIDIA Corp. (NVDA, 7.73%), Apple Inc. (AAPL, 6.63%), and Microsoft Corp. (MSFT, 5.19%). Sector breakdown features information technology (33.37%), financials (12.33%), and communication services (10.61%). The expense ratio is 0.0945%, AUM reaches $677.7 billion, and it boasts unmatched liquidity with daily volumes often surpassing 80 million shares and a median bid-ask spread near zero. Low turnover (3%) ensures efficient tracking, positioning SPY as a core equity staple.
The S&P 500 operates in a resilient macro environment marked by above-trend growth, Fed easing, and AI-driven productivity gains. Technology dominates capital flows, fueled by hyperscaler investments in data centers and semiconductors, though concentration risks loom with mega-caps comprising over 35% of the index. Fiscal policies like tax rebates and infrastructure spending support consumer resilience, while moderating inflation and a softening labor market temper overheating concerns. Sector rotations persist amid policy uncertainties, including trade realignments and fiscal deficits. Momentum in AI, energy transition, and industrials benefits thematic strategies, but broader risks from geopolitical tensions and valuation stretches underscore diversification. Capital inflows favor U.S. equities, with EM growth adding tailwinds, yet uneven profit distribution heightens volatility potential.
Over recent market cycles, SPMO has outperformed SPY, delivering annualized returns of 18-20% over five years versus SPY's 13-15%, driven by momentum capture in technology and growth surges. In AI-led rallies, SPMO's concentration amplifies gains, as seen in persistent outperformance during bull phases. However, during reversals like 2023's energy shift, it lagged due to sector tilts. Volatility differs markedly: SPMO's beta around 1.13 reflects heightened sensitivity, while SPY mirrors market beta at 1.00. Relative positioning favors SPMO in trend-consistent environments like current AI momentum and interest rate stabilization, but SPY excels in rotations or downturns via diversification. Earnings cycles in top holdings like NVDA and AVGO propel both, yet SPMO's rebalancing enhances adaptability amid macro shifts.
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Tickeron’s AI currently favors SPMO with moderate conviction, citing its structural alignment with ongoing momentum in AI and technology sectors, superior multi-year returns, and adaptability via semi-annual rebalancing. While SPY offers unmatched diversification and cost efficiency, SPMO's factor premia and trend consistency position it for outperformance in the prevailing growth-oriented environment, assuming no sharp reversals. Probabilistic edge: 60% likelihood of relative strength over the next market cycle, based on observable momentum persistence and sector flows.
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| SPMO | SPY | SPMO / SPY | |
| Gain YTD | 7.830 | 4.423 | 177% |
| Net Assets | 14.8B | 723B | 2% |
| Total Expense Ratio | 0.13 | 0.09 | 138% |
| Turnover | 44.00 | 3.00 | 1,467% |
| Yield | 0.91 | 1.14 | 80% |
| Fund Existence | 11 years | 33 years | - |
| SPMO | SPY | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 79% | 3 days ago 76% |
| Stochastic ODDS (%) | 3 days ago 77% | 3 days ago 73% |
| Momentum ODDS (%) | 3 days ago 83% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 81% | 3 days ago 80% |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 83% | 3 days ago 84% |
| Advances ODDS (%) | 3 days ago 82% | 3 days ago 84% |
| Declines ODDS (%) | 21 days ago 75% | 21 days ago 75% |
| BollingerBands ODDS (%) | 3 days ago 71% | 3 days ago 66% |
| Aroon ODDS (%) | 3 days ago 74% | 3 days ago 77% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SGRT | 31.69 | 0.56 | +1.80% |
| SMART Earnings Growth 30 ETF | |||
| GARP | 72.33 | 0.90 | +1.26% |
| iShares MSCI USA Quality GARP ETF | |||
| ADX | 23.98 | 0.19 | +0.80% |
| Adams Diversified Equity Fund | |||
| PFLD | 19.70 | 0.05 | +0.25% |
| AAM Low Duration Pref & Inc Secs ETF | |||
| KURE | 17.97 | -0.10 | -0.54% |
| KraneShares MSCI All China Hlth Care ETF | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with AVGO. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then AVGO could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +1.23% | ||
| AVGO - SPMO | 75% Closely correlated | +2.03% | ||
| NVDA - SPMO | 74% Closely correlated | +1.68% | ||
| C - SPMO | 70% Closely correlated | +2.20% | ||
| ETN - SPMO | 69% Closely correlated | +3.43% | ||
| GS - SPMO | 68% Closely correlated | +2.88% | ||
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