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 (SPMO) seeks to track the S&P 500 Momentum Index, which selects approximately 100 stocks from the S&P 500 with the highest momentum scores. Momentum is defined as the tendency of securities to exhibit persistence in relative performance. The fund invests at least 90% of its assets in the index constituents, which are weighted by a combination of market capitalization and momentum score. The index undergoes reconstitution and rebalancing twice annually.
SPMO maintains a large-cap U.S. equity focus with significant technology sector exposure, often exceeding 50% of assets. Top holdings typically include companies such as Micron Technology (MU), NVIDIA Corp (NVDA), and Broadcom Inc (AVGO). This positioning emphasizes securities that have demonstrated strong recent performance, structurally tilting the portfolio toward growth-oriented segments of the market. The low expense ratio of 0.13% supports cost-efficient access to this strategy. The resulting portfolio exposure links future performance potential closely to the continued outperformance of momentum leaders, particularly within technology and industrials, while limiting geographic diversification outside the United States.
Federal Reserve interest rate decisions remain a primary catalyst, as lower rates could support valuation multiples for growth stocks that dominate the momentum index. Inflation data releases will influence expectations for monetary policy and, by extension, the relative attractiveness of high-momentum equities versus defensive sectors.
Earnings reports from major technology holdings, including semiconductor and software leaders, provide direct insight into demand for AI-related products and services. Positive surprises could reinforce momentum characteristics and support index inclusion or weighting.
Semi-annual index rebalancing events in March and September may alter sector allocations and individual security weights, potentially creating short-term volatility or opportunities as the portfolio adjusts to updated momentum rankings. Broader economic growth indicators and corporate capital expenditure trends will also affect the outlook for the underlying holdings’ revenue and earnings trajectories.
The momentum index underlying SPMO exhibits pronounced sensitivity to interest rate cycles and equity market breadth. In an environment of declining rates or stable growth, technology-heavy momentum strategies have historically benefited from expanded valuations. Conversely, persistent inflation or aggressive monetary tightening could pressure the sector allocations that currently dominate the fund.
U.S. equity market trends, particularly leadership rotation within large-cap segments, will shape the index composition. Global supply chain dynamics and currency movements exert secondary influence given the fund’s domestic focus. Commodity cycles and energy prices may indirectly affect holdings in industrials or energy, though technology remains the dominant driver. Overall macroeconomic conditions favoring corporate earnings expansion and innovation investment align with the structural characteristics of the S&P 500 Momentum Index.
Tickeron’s Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Explore detailed forecasts and trend signals through the Trend Prediction Engine.
Long-term drivers for SPMO center on sustained technological innovation and adoption of artificial intelligence across industries. Demographic shifts supporting higher corporate investment in productivity-enhancing tools favor companies with strong momentum profiles in semiconductors, software, and related fields. Economic cycles that promote capital expenditure and digital transformation could reinforce the relevance of the underlying momentum index over multi-year horizons. Market structure changes, including evolving index methodologies and investor preferences for factor-based strategies, may further influence asset class flows. The global investment trend toward U.S. large-cap growth equities provides a supportive backdrop for the fund’s structural positioning, provided innovation-driven earnings growth persists.
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.
Category LargeBlend
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% | +0.50% | ||
| QQQM - SPMO | 94% Closely correlated | -0.10% | ||
| IVW - SPMO | 92% Closely correlated | -0.52% | ||
| IWF - SPMO | 90% Closely correlated | -0.32% | ||
| SCHG - SPMO | 90% Closely correlated | -0.79% | ||
| VUG - SPMO | 90% Closely correlated | -0.37% | ||
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The 10-day moving average for SPMO crossed bearishly below the 50-day moving average on August 20, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 21 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 .
The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.
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 of 62 cases within the following month. The odds of a continued downward trend are .
SPMO broke above its upper Bollinger Band on September 08, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Momentum Indicator moved above the 0 level on September 04, 2026. You may want to consider a long position or call options on SPMO as a result. In of 89 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for SPMO just turned positive on September 08, 2026. Looking at past instances where SPMO's MACD turned positive, the stock continued to rise in of 52 cases over the following month. The odds of a continued upward trend are .
SPMO moved above its 50-day moving average on September 04, 2026 date and that indicates a change from a downward trend to an upward trend.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPMO advanced for three days, in of 377 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 372 cases where SPMO Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .