In the evolving U.S. equity landscape, comparing IVV and SPMO highlights the tension between broad market exposure and factor-based enhancement. IVV serves as a foundational large-cap benchmark tracker, while SPMO applies a momentum overlay to S&P 500 constituents, selecting top performers. These ETFs appeal to investors seeking core stability versus tactical upside in momentum-driven regimes. Amid sector rotations and AI-fueled growth, they represent complementary strategies for similar goals: capturing U.S. large-cap equity returns with varying risk-return profiles. This comparison aids decisions on diversification, cost, and positioning in ETF portfolios.
The iShares Core S&P 500 ETF (IVV) is a passive ETF tracking the S&P 500 Index, comprising approximately 500 large-capitalization U.S. equities selected by market cap and committee discretion. It holds 503 securities, providing comprehensive exposure to the U.S. large-cap market.
Top holdings include NVDA (7.79%), AAPL (6.61%), MSFT (5.23%), AMZN (3.57%), and GOOGL (3.09%). Sector allocations emphasize Information Technology (33.37%), Financials (12.20%), and Communication (10.58%).
With an expense ratio of 0.03%, IVV is highly cost-efficient. As a diversified, physically replicated ETF on NYSE Arca, it features low turnover (3%) and exceptional liquidity (30-day median bid-ask spread of 0.00%, average volume over 8 million shares). AUM exceeds $707 billion, underscoring its role as a core portfolio anchor.
The Invesco S&P 500® Momentum ETF (SPMO) passively tracks the S&P 500 Momentum Index, selecting ~100 S&P 500 stocks with the highest volatility-adjusted momentum scores, weighted by market cap and momentum.
Top holdings feature AVGO (9.69%), NVDA (9.38%), META (7.79%), JPM (4.95%), and PLTR (3.94%). Sectors tilt toward Information Technology (31.71%), Financials (20.06%), and Communication Services (14.32%).
Expense ratio stands at 0.13%. This non-diversified ETF on NYSE Arca rebalances semi-annually (March and September), yielding higher turnover (~44%). Liquidity is robust (median bid-ask 0.02%, average volume ~1.4 million shares), with AUM at $13.5 billion, positioning it for momentum-seeking investors.
The S&P 500 operates in a macro environment shaped by Federal Reserve rate cuts, AI infrastructure expansion, and sector rotations. Falling interest rates support growth sectors like technology while bolstering financials via net interest margins. AI drives capital expenditures toward data centers, benefiting industrials and materials, even as pure tech faces valuation scrutiny.
Recent cycles show rotations from mega-cap tech to cyclicals (industrials, energy) and defensives (staples), amid robust S&P 500 earnings growth outside AI themes. Momentum factors thrive in trending markets but risk reversal during shifts. Regulatory focus on AI ethics and antitrust, alongside geopolitical tensions, adds volatility, while disinflation supports equities broadly.
In recent market cycles, SPMO has demonstrated outperformance relative to IVV, leveraging momentum to capture leaders during uptrends, with historical 10-year annualized returns surpassing the broad S&P 500. However, amid 2026's sector rotations—favoring industrials, financials, and defensives over pure tech—SPMO's tilts have sustained relative strength in recent months, despite broader momentum stalls.
IVV provides steadier beta=1 exposure, exhibiting lower volatility tied to overall market cycles. SPMO's beta (~1.13) and semi-annual rebalancing introduce higher volatility, amplifying gains in momentum regimes but underperforming during reversals like tech pullbacks. Both benefit from AI tailwinds via overlapping top holdings, yet SPMO's concentration heightens sensitivity to factor shifts and earnings cycles.
Tickeron’s Trending AI Robots page showcases the platform's top-performing AI trading bots under prevailing market conditions. Tickeron provides hundreds of AI bots scanning thousands of tickers across various timeframes, strategies like momentum, mean reversion, and scalping, with performance metrics including win rates, profit factors, and drawdowns. Only the strongest, vetted performers rise to this curated section, adapting dynamically to volatility, trends, and sector flows. Explore these tools to enhance your ETF trading with data-driven signals—visit today to identify bots aligned with large-cap momentum or broad market plays.
Tickeron’s AI currently favors SPMO for its structural alignment with persistent momentum trends, enhanced sector exposure to rotating cyclicals, and historical outperformance versus IVV, despite modestly higher costs. IVV remains ideal for pure diversification, but SPMO's ~100 holdings offer probabilistic edge in trending environments with manageable volatility premium.
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.
| IVV | SPMO | IVV / SPMO | |
| Gain YTD | -0.074 | 3.662 | -2% |
| Net Assets | 748B | 13.4B | 5,582% |
| Total Expense Ratio | 0.03 | 0.13 | 23% |
| Turnover | 3.00 | 44.00 | 7% |
| Yield | 1.23 | 0.91 | 136% |
| Fund Existence | 26 years | 11 years | - |
| IVV | SPMO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 87% | 1 day ago 70% |
| Stochastic ODDS (%) | 1 day ago 68% | 1 day ago 77% |
| Momentum ODDS (%) | 1 day ago 80% | 1 day ago 83% |
| MACD ODDS (%) | 1 day ago 81% | 1 day ago 81% |
| TrendWeek ODDS (%) | 1 day ago 84% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 83% | 1 day ago 83% |
| Advances ODDS (%) | 3 days ago 83% | 1 day ago 81% |
| Declines ODDS (%) | 13 days ago 74% | 13 days ago 75% |
| BollingerBands ODDS (%) | 1 day ago 67% | 1 day ago 71% |
| Aroon ODDS (%) | 1 day ago 79% | 1 day ago 76% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MAYP | 31.53 | N/A | N/A |
| PGIM S&P 500 Buffer 12 ETF - May | |||
| MCDS | 62.10 | N/A | N/A |
| JPMorgan Fundamental Data Sci Md Cor ETF | |||
| FLCB | 21.50 | -0.02 | -0.09% |
| Franklin U.S. Core Bond ETF | |||
| DFJ | 105.69 | -0.21 | -0.20% |
| WisdomTree Japan SmallCap Dividend ETF | |||
| GLV | 6.12 | -0.04 | -0.65% |
| Clough Global Dividend and Income Fund | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with NVDA. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.47% | ||
| NVDA - SPMO | 82% Closely correlated | +2.57% | ||
| GS - SPMO | 79% Closely correlated | +0.45% | ||
| MS - SPMO | 77% Closely correlated | -0.29% | ||
| AVGO - SPMO | 76% Closely correlated | +4.69% | ||
| ETN - SPMO | 75% Closely correlated | +0.64% | ||
More | ||||