Invesco S&P 500 Momentum ETF (SPMO) and Vanguard Morningstar Growth ETF (VUG) both target U.S. large-cap equities with significant technology exposure, yet they pursue distinct strategies. SPMO applies momentum screening within the S&P 500, while VUG tracks a comprehensive growth benchmark. These differences make the pair relevant for investors evaluating factor-based versus style-based growth exposure in the current market environment characterized by evolving sector leadership and interest-rate dynamics.
Invesco S&P 500 Momentum ETF (SPMO) tracks the S&P 500 Momentum Index, selecting roughly 100 stocks exhibiting strong recent price performance. The fund maintains approximately 100 holdings with a focus on momentum-driven names. Sector allocations typically emphasize information technology at over 50%, followed by industrials and communication services. Its expense ratio stands at 0.13%. As a passive, rules-based factor ETF, SPMO rebalances periodically to capture shifting momentum trends, distinguishing it through targeted exposure to outperforming securities rather than broad market-cap weighting.
Vanguard Morningstar Growth ETF (VUG) seeks to track the Morningstar US Large Cap Growth Index, providing exposure to approximately 150 large-capitalization growth-oriented companies. Holdings number around 147 to 151, with top positions concentrated in technology and communication services leaders. The fund features an expense ratio of 0.03%. Structured as a passive index ETF, VUG employs quarterly rebalancing aligned with its benchmark, offering broad diversification within the growth style without momentum overlays.
The large-cap growth and momentum segments remain influenced by advancements in artificial intelligence, semiconductor demand, and digital infrastructure spending. Macroeconomic factors including interest-rate expectations and corporate earnings cycles continue to shape capital allocation across technology-heavy portfolios. Regulatory developments around data privacy and antitrust scrutiny in the technology sector represent ongoing considerations, while broader economic resilience supports sustained investor interest in growth-oriented strategies.
In recent market cycles, SPMO has shown sensitivity to momentum rotations, with performance tied to the persistence of leading stocks in technology and industrials. VUG has delivered steady exposure to established growth companies, benefiting from consistent earnings expansion in core holdings. Relative positioning highlights SPMO’s potential for amplified moves during momentum-driven phases, contrasted with VUG’s more stable profile across varied market conditions.
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Based on structural efficiency, lower expense ratio, and broader diversification within the growth segment, Tickeron’s AI would currently assign a modest probabilistic preference to Vanguard Morningstar Growth ETF (VUG) for core holdings. Invesco S&P 500 Momentum ETF (SPMO) may appeal in environments favoring pronounced momentum trends due to its factor focus, though its higher cost and concentration warrant consideration of risk tolerance.
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| SPMO | VUG | SPMO / VUG | |
| Gain YTD | 27.019 | 8.056 | 335% |
| Net Assets | 21.7B | 372B | 6% |
| Total Expense Ratio | 0.13 | 0.03 | 433% |
| Turnover | 44.00 | 12.00 | 367% |
| Yield | 0.73 | 0.40 | 183% |
| Fund Existence | 11 years | 23 years | - |
| SPMO | VUG | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 82% |
| Stochastic ODDS (%) | 1 day ago 80% | 1 day ago 77% |
| Momentum ODDS (%) | 1 day ago 82% | 1 day ago 79% |
| MACD ODDS (%) | 1 day ago 85% | 1 day ago 84% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 81% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| Advances ODDS (%) | 5 days ago 82% | 6 days ago 84% |
| Declines ODDS (%) | 8 days ago 76% | 1 day ago 79% |
| BollingerBands ODDS (%) | 1 day ago 85% | 1 day ago 89% |
| Aroon ODDS (%) | 1 day ago 72% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| XLSI | 23.68 | 0.20 | +0.85% |
| State Street®CnsmrStpSelSectSPDR®PrmETF | |||
| MSFU | 35.39 | 0.17 | +0.48% |
| Direxion Daily MSFT Bull 2X Shares | |||
| SPMB | 21.98 | 0.03 | +0.14% |
| State Street SPDR Port Mortg Bckd Bd ETF | |||
| SJB | 15.16 | 0.01 | +0.10% |
| ProShares Short High Yield | |||
| FMUN | 49.59 | -0.17 | -0.35% |
| Fidelity Systematic Municipal Bd Idx ETF | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with ETN. These tickers have moved in lockstep 71% 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% | -2.75% | ||
| ETN - SPMO | 71% Closely correlated | -5.29% | ||
| GLW - SPMO | 71% Closely correlated | -7.68% | ||
| PWR - SPMO | 66% Loosely correlated | -3.62% | ||
| CMI - SPMO | 65% Loosely correlated | -3.17% | ||
| GEV - SPMO | 62% Loosely correlated | -6.90% | ||
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A.I.dvisor indicates that over the last year, VUG has been closely correlated with RVTY. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if VUG jumps, then RVTY could also see price increases.
| Ticker / NAME | Correlation To VUG | 1D Price Change % | ||
|---|---|---|---|---|
| VUG | 100% | -1.14% | ||
| RVTY - VUG | 70% Closely correlated | -2.08% | ||
| SWKS - VUG | 57% Loosely correlated | -0.44% | ||
| MCHP - VUG | 56% Loosely correlated | -2.58% | ||
| ADI - VUG | 55% Loosely correlated | -3.50% | ||
| ZM - VUG | 54% Loosely correlated | -0.81% | ||
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