The investment seeks to track the investment results (before fees and expenses) of the NASDAQ-100 Index® (the “underlying index”)... Show more
The Invesco NASDAQ 100 ETF (QQQM) seeks to track the investment results of the NASDAQ-100 Index, a modified market-capitalization-weighted benchmark of the 100 largest non-financial companies listed on the Nasdaq. The fund is passively managed, typically investing at least 90% of its assets in the index's constituent securities, and carries a net expense ratio of 0.15%. Launched in October 2020, QQQM has grown to roughly $100 billion in assets under management (AUM), a measure of the total capital the fund oversees.
Portfolio concentration is a defining characteristic. Information technology accounts for close to 60% of holdings, followed by communication services and consumer discretionary at roughly 13% and 11%, respectively. Smaller allocations sit in consumer staples, health care, industrials, utilities, materials, and energy. The largest positions include NVDA (around 8%), AAPL (about 7%), MSFT (about 5%), and AMZN (near 5%), with additional meaningful weights in MU, AMD, AVGO, GOOGL, META, and TSLA. Because the top holdings command outsized weight, a handful of names can dictate much of the ETF's daily and monthly performance.
QQQM's return profile is inseparable from the broader technology and AI-infrastructure cycle. The index's heaviest sector weights sit in semiconductors, software, internet platforms, and consumer technology, all of which are sensitive to artificial-intelligence capital expenditure (capex), cloud demand, and enterprise technology budgets. Large hyperscalers have guided toward substantial AI infrastructure spending, sustaining elevated demand for memory, accelerators, and networking equipment and benefiting suppliers across the semiconductor value chain.
At the same time, the fund excludes financials and materially underweights traditional economy sectors such as energy and utilities. This tilts QQQM toward structural-growth and long-duration equity exposure, meaning its performance tends to be more responsive to shifts in interest-rate expectations and growth sentiment than a broad-market benchmark. Macroeconomic considerations such as inflation, monetary policy, and the durability of corporate technology spending therefore remain key swing factors for the portfolio.
Over the trailing 30 days, QQQM rose approximately 1%, and it was roughly flat over the trailing quarter. Those headline figures conceal meaningful intra-period volatility. After climbing toward an intraday peak around $308 in early June, the fund retreated through July before stabilizing and partially recovering into late August, with its 52-week range spanning roughly $227 to $308.
The stabilization has been supported by strength in memory and semiconductor names. MU has posted a dramatic multi-hundred-percent advance over the past year on AI-driven memory demand, elevating it into the index's top holdings, while AMD and NVDA have also contributed strongly. This semiconductor-led leadership has helped offset relative weakness in select mega-cap software and platform names, most notably MSFT, which has trailed the broader index over the same period. The result is a rotation within the portfolio rather than a uniform rally: leadership has concentrated further in the AI-hardware complex even as overall index-level returns have remained subdued.
Tickeron's AI Screener is an AI-powered stock and ETF discovery platform that helps investors search thousands of securities using technical indicators, fundamentals, volatility measures, AI-generated signals, market trends, price patterns, and customizable filters. It is designed to surface trending securities, breakout candidates, and new trading opportunities more efficiently than manual screening. For investors monitoring concentrated, tech-heavy funds such as QQQM, the AI Screener can be used to evaluate sector leadership, momentum, and relative strength across the underlying names that drive the fund's performance.
Several structural themes are likely to shape QQQM through 2026. The pace and durability of AI infrastructure spending remain central, because demand for accelerators, memory, and networking directly affects the fund's largest semiconductor and platform holdings. Earnings cycles for mega-cap constituents, including cloud providers and consumer-technology companies, will also matter, as will the dispersion between strong-performing chip names and lagging software positions.
Monetary policy and inflation trends represent additional swing factors. As a long-duration, growth-oriented portfolio, QQQM tends to be more sensitive to shifts in interest-rate expectations than diversified benchmarks. Finally, concentration risk deserves attention: with a small group of mega-cap and semiconductor stocks commanding a large share of assets, any regulatory, valuation, or idiosyncratic setback affecting those names can have an outsized effect on the fund. Investors should monitor these themes without treating this discussion as a forecast of future returns.
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The RSI Oscillator for QQQM moved out of oversold territory on July 30, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 27 similar instances when the indicator left oversold territory. In of the 27 cases the stock moved higher. This puts the odds of a move higher at .
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 54 cases where QQQM's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
QQQM moved above its 50-day moving average on August 27, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for QQQM crossed bullishly above the 50-day moving average on August 13, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQM advanced for three days, in of 369 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 363 cases where QQQM Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Momentum Indicator moved below the 0 level on August 18, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on QQQM as a result. In of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for QQQM turned negative on August 21, 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 46 similar instances when the indicator turned negative. In of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where QQQM declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
QQQM broke above its upper Bollinger Band on August 04, 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeGrowth