The investment seeks to track the investment results (before fees and expenses) of the S&P 500 Momentum Index... Show more
The Invesco S&P 500 Momentum ETF tracks the S&P 500 Momentum Index, which selects approximately 100 of the highest-scoring stocks within the S&P 500 based on volatility-adjusted momentum. The fund generally invests at least 90% of its total assets in the index's constituents and carries a low net expense ratio of 0.13%.
Rather than reflecting the broad market, SPMO concentrates on recent relative winners. As of its latest disclosures, the top holdings included MU (Micron Technology), NVDA (NVIDIA), AVGO (Broadcom), AAPL (Apple), AMD (Advanced Micro Devices), and GOOGL (Alphabet). The ten largest positions typically account for more than half of total assets, a notably concentrated portfolio for a broad-market-adjacent fund.
Sector-wise, Information Technology dominates at roughly 54% of assets, with the semiconductors industry alone representing around one-third of the fund. Industrials, Communication Services, and Healthcare follow at roughly 12%, 9%, and 7–10%, respectively. Geographic exposure is almost entirely U.S.-based, at approximately 98%.
Structurally, the fund is driven by trend persistence: it buys what has recently performed well and trims what has lagged. This means its future performance potential hinges on whether current market leaders—chiefly semiconductor and AI-linked names—can sustain their momentum through the next rebalance cycle.
Several upcoming developments could influence SPMO's trajectory:
The macro backdrop for SPMO is defined by the intersection of technology-driven earnings growth and monetary policy. If artificial intelligence investment continues to expand, semiconductor demand and pricing power could support the fund's dominant sector exposure. Conversely, any cooling in AI-related capital spending would disproportionately affect the fund's most heavily weighted names.
Interest rates remain the primary macro variable. High-valuation technology equities are sensitive to changes in real yields, so the Federal Reserve's path on rates will likely influence both absolute performance and the relative momentum scores that SPMO's index relies on. A "higher-for-longer" scenario could favor value-oriented sectors currently underrepresented in the portfolio, such as Financials and Consumer Discretionary.
The fund's sector outlook is also shaped by cyclical positioning. Industrials—the second-largest sleeve, including CAT (Caterpillar) and aerospace names—provide some balance, while energy exposure through XOM (ExxonMobil) adds commodity sensitivity. The portfolio's concentration in a single sector, however, means the broader equity market trend and technology leadership cycle remain the dominant influences on its future outlook.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool designed to help traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the coming week or month. It is built to surface developing trends, evaluate possible breakouts or reversals, and let users explore predictions across a wide range of tradable instruments. The platform includes searchable prediction categories, historical context, and alert-oriented functionality to support timely decision-making. For investors monitoring a concentrated momentum fund like SPMO, trend tools can add useful context around shifting leadership. Explore the Trend Prediction Engine to see how AI-driven signals may apply to your watchlist.
Over a longer horizon, SPMO's trajectory is tied to several durable investment themes. The ongoing adoption of artificial intelligence, cloud computing, and advanced semiconductor manufacturing supports structural demand for the fund's largest technology holdings. Continued digitization and data-center buildouts could sustain the chip cycle that currently drives the portfolio.
Momentum investing itself has demonstrated persistent long-term performance patterns, though it also carries well-documented risks of sharp drawdowns during trend reversals and sector rotations. The fund's concentration in a handful of mega-cap technology and semiconductor names amplifies both upside participation and downside risk.
Demographic and market-structure trends—including the growth of passive and factor-based investing—may continue to support momentum strategies as capital concentrates in recent winners. At the same time, the interest rate cycle and the pace of global economic growth will shape whether leadership broadens beyond technology. Investors evaluating the fund's future outlook should weigh its high-conviction, high-concentration design against the possibility of a leadership shift that momentum strategies, by design, only capture after it is underway.
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.
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A.I.dvisor indicates that over the last year, SPMO has been closely correlated with QQQM. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPMO jumps, then QQQM could also see price increases.
| Ticker / NAME | Correlation To SPMO | 1D Price Change % | ||
|---|---|---|---|---|
| SPMO | 100% | +0.85% | ||
| QQQM - SPMO | 94% Closely correlated | +1.03% | ||
| IVW - SPMO | 92% Closely correlated | +0.74% | ||
| IWF - SPMO | 90% Closely correlated | +0.92% | ||
| SCHG - SPMO | 90% Closely correlated | +0.93% | ||
| VUG - SPMO | 90% Closely correlated | +0.85% | ||
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Category LargeBlend
SPMO saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on October 09, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 53 instances where the indicator turned negative. In 48 of the 53 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.
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 68 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 76%.
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.
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 18 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 90%.
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 Oscillator points to a transition from a downward trend to an upward trend -- in cases where SPMO's RSI Oscillator exited the oversold zone, 23 of 24 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 7 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.