Investors comparing SPMO and VONG are effectively weighing two distinct approaches to large-cap U.S. equity exposure. One pursues momentum — buying stocks that have already demonstrated strong relative price strength — while the other targets the broad growth segment of the large-cap universe. This stock comparison is relevant for traders seeking relative performance during a market cycle in which momentum and growth strategies have diverged meaningfully. A momentum-oriented investor may prefer SPMO's concentrated, trend-following design, while a long-term growth investor may value VONG's breadth and lower cost. Understanding each fund's market positioning, sector exposure, and recent behavior helps clarify which tool better fits a given objective.
SPMO, the Invesco S&P 500 Momentum ETF, seeks to track the S&P 500 Momentum Index. The fund invests in roughly 100 S&P 500 constituents with the highest momentum scores, weighted by both market capitalization and momentum, and is reconstituted twice a year. Its largest holdings are concentrated in semiconductor and technology leaders, including Micron, NVIDIA, Broadcom, Alphabet, and AMD, with technology representing more than half of the portfolio.
In recent market activity, SPMO has been among the stronger-performing large-cap funds, reflecting the continued outperformance of chipmakers and other high-momentum names. Its year-to-date return has run well into the double digits, and its one-, three-, and five-year results have outpaced the broad S&P 500. This strength, however, comes with elevated volatility; the fund's beta (a measure of sensitivity to broad-market moves) is notably above 1.0. Sentiment has been supported by sustained demand for artificial intelligence-related semiconductor exposure, though the concentration in that theme also raises single-sector risk.
VONG, the Vanguard Russell 1000 Growth ETF, seeks to track the Russell 1000 Growth Index, which captures the large-cap growth segment of the U.S. equity market. The fund holds roughly 370 stocks selected for higher price-to-book ratios and stronger forecasted and historical growth characteristics. Its top positions include NVIDIA, Apple, Microsoft, Alphabet, Broadcom, and Meta, with technology the largest single sector.
Recent weeks have seen VONG's performance trail SPMO's more sharply, as broad large-cap growth lagged the concentrated momentum and semiconductor rally. VONG's year-to-date and one-year returns have been comparatively modest, partly reflecting a difficult start to the year for growth equities and a heavier weighting in megacap names that have not all kept pace with chipmakers. The fund's broader diversification and lower cost (0.06% expense ratio) provide a more measured risk profile, and its longer-run three-, five-, and ten-year track records remain strong relative to the broader market.
For investors who prefer a systematic, data-driven approach to navigating divergences like the one between SPMO and VONG, Tickeron's Trending AI Robots page offers a curated view of its most capable automated strategies. Tickeron maintains hundreds of AI Trading Bots that collectively trade thousands of different tickers, each with its own trading style, strategy, timeframe, performance statistics, and target watchlist. Because only the bots best suited to current market conditions earn placement in this curated section, the page serves as a practical starting point for discovering strategies aligned with today's momentum-driven environment. Visitors can review available performance data and statistics across the featured robots to identify approaches matching their goals. Explore the Trending AI Robots to see which automated strategies are currently leading.
The clearest contrast between the two funds is methodology. SPMO is a rules-based momentum product that concentrates capital in whichever stocks are trending most strongly, regardless of whether they are classified as growth or value. VONG is a broad growth benchmark fund that emphasizes growth characteristics such as price-to-book ratio and forecasted growth, without a momentum screen. As a result, SPMO's holdings are far more concentrated — about 100 names with a heavy semiconductor tilt — while VONG spreads roughly 370 positions across a wider set of large-cap growth companies.
These structural differences drive the recent performance gap. Momentum strategies have benefited directly from the surge in AI-linked chipmakers, while VONG's broader, megacap-heavy portfolio has diluted that exposure. The trade-off is stability: SPMO's higher beta and sector concentration make it more sensitive to reversals, whereas VONG's diversification and lower cost of 0.06% versus 0.13% offer a steadier, cheaper long-term vehicle. Market sentiment currently favors momentum, but that leadership can rotate quickly.
Based on observable factors, Tickeron's AI would likely lean toward SPMO in the current environment. Its analysis tends to reward trend consistency, relative strength, and clear catalysts, all of which SPMO currently exhibits through its sustained outperformance and concentrated exposure to the semiconductor leadership driving market gains. The fund's momentum profile and strong recent relative performance align with the conditions favored by trend-following models. That said, the verdict is probabilistic rather than definitive: VONG's lower cost and broader diversification may hold appeal if leadership broadens beyond a narrow set of momentum names. A reversal in the semiconductor trade would likely narrow or reverse the current advantage.
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.
The 10-day moving average for SPMO crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 17 of 20 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 85%.
The Momentum Indicator moved below the 0 level on October 08, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPMO as a result. In 73 of 89 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.
The Moving Average Convergence Divergence Histogram (MACD) for SPMO turned negative on October 09, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In 41 of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at 79%.
SPMO moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPMO declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 77%.
The Aroon Indicator for SPMO entered a downward trend on September 22, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 9 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +1.09% 3-day Advance, the price is estimated to grow further. Considering data from situations where SPMO advanced for three days, in 312 of 379 cases, the price rose further within the following month. The odds of a continued upward trend are 82%.
SPMO may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The 10-day moving average for VONG crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 87%.
The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on VONG as a result. In 64 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.
The Moving Average Convergence Divergence Histogram (MACD) for VONG turned negative on October 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 48 similar instances when the indicator turned negative. In 41 of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at 85%.
VONG moved below its 50-day moving average on October 16, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where VONG declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where VONG's RSI Oscillator exited the oversold zone, 25 of 28 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 6 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a +1.67% 3-day Advance, the price is estimated to grow further. Considering data from situations where VONG advanced for three days, in 298 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
VONG may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 337 of 377 cases where VONG Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 89%.
| SPMO | VONG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 85% |
| TrendWeek ODDS (%) | 2 days ago 80% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| Advances ODDS (%) | 23 days ago 82% | 19 days ago 84% |
| Declines ODDS (%) | 2 days ago 77% | 2 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| Aroon ODDS (%) | 3 days ago 65% | 2 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| ICLO | 25.55 | N/A | N/A |
| Invesco AAA CLO Floating Rate Note ETF (ICLO) | |||
| CSIO | 28.28 | -0.02 | -0.06% |
| Cohen & Steers Infrastructure Opportunities Active ETF (CSIO) | |||
| DABS | 49.81 | -0.04 | -0.08% |
| Doubleline Asset-Backed Securities ETF | |||
| TERG | 24.60 | -0.10 | -0.40% |
| Leverage Shares 2X Long TER Daily ETF (TERG) | |||
| DFIS | 35.37 | -0.22 | -0.62% |
| Dimensional International Small Cap ETF (DFIS) | |||
A.I.dvisor indicates that over the last year, SPMO has been closely correlated with GLW. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | -0.12% | ||
| GLW - SPMO | 72% Closely correlated | -0.24% | ||
| ETN - SPMO | 72% Closely correlated | -0.78% | ||
| FIX - SPMO | 71% Closely correlated | -9.26% | ||
| CAT - SPMO | 71% Closely correlated | -2.42% | ||
| COHR - SPMO | 69% Closely correlated | +0.71% | ||
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