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 (before fees and expenses) of the NASDAQ-100 Index. This benchmark includes 100 of the largest domestic and international non-financial companies listed on the Nasdaq Stock Market, selected primarily by market capitalization and weighted using a modified market-cap approach. QQQM holds 102 securities, investing at least 90% of its assets in index components.
Top 10 holdings represent about 47% of the portfolio: NVDA (NVIDIA Corp., 8.64%), AAPL (Apple Inc., 7.59%), MSFT (Microsoft Corp., 5.55%), AMZN (Amazon.com Inc., 4.57%), TSLA (Tesla Inc., 3.85%), GOOGL (Alphabet Inc. Class A, 3.50%), META (Meta Platforms Inc., 3.45%), WMT (Walmart Inc., 3.41%), GOOG (Alphabet Inc. Class C, 3.24%), and AVGO (Broadcom Inc., 3.01%).
Sector allocations emphasize technology at 59.77%, consumer discretionary at 21.15%, and health care at 5.10%. The expense ratio is 0.15%, making it a cost-efficient passive ETF launched in October 2020. The index applies caps—no single company exceeds 24%, and those above 4.5% are limited to 48% aggregate—to mitigate concentration. Rebalancing occurs quarterly (March, June, September, December), with annual reconstitution in December.
The NASDAQ-100 captures innovation leaders in technology, cloud computing, semiconductors, and consumer platforms, excluding financials. Key growth drivers include artificial intelligence (AI), with hyperscalers like Microsoft, Amazon, and Alphabet ramping capital expenditures (capex) on data centers and GPUs—projected at $500 billion or more annually. AI infrastructure demand outstrips supply, fueling productivity gains across sectors, from enterprise software to e-commerce.
Macro catalysts encompass sustained U.S. GDP contributions from tech capex (around 25% in recent years), regulatory easing on antitrust for Big Tech, and global sovereign AI initiatives (e.g., U.S. Stargate, Europe's InvestAI). Capital flows favor growth amid rate cuts, though risks loom: elevated valuations (forward P/E around 25-30), geopolitical tensions disrupting supply chains, inflation volatility, and potential AI adoption slowdowns if ROI disappoints. Sector rotation toward industrials and energy adds pressure, but structural AI trends—non-linear capability advances and broadening enterprise use—support long-term expansion.
In recent market cycles, QQQM has navigated volatility tied to sector dynamics, delivering strong multi-year gains while experiencing pullbacks in recent trading sessions. Year-to-date declines around 4-5% reflect profit-taking in high-valuation tech names amid rotations to cyclicals like industrials and materials, influenced by resilient economic data and commodity strength.
Over the past year, the ETF captured approximately 23-24% total returns, buoyed by AI momentum during earnings seasons where robust guidance from holdings like NVDA and MSFT offset broader concerns. Recent months showed resilience amid rate cut expectations and hyperscaler spending commitments, though dips aligned with inflation worries and temporary value shifts. QQQM's beta above 1 underscores sensitivity to growth catalysts like semiconductor demand and macro shifts, positioning it as a high-conviction play on tech leadership.
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Looking to 2026, QQQM remains anchored in structural AI tailwinds, with hyperscalers' capex potentially exceeding $700 billion on data centers amid excess compute demand. This supports earnings growth for top holdings—projected at 13-30% for tech leaders—bolstered by productivity boosts and broadening AI adoption in enterprises and consumers. Policy shifts like AI-friendly regulations and sovereign investments (e.g., Stargate's $500 billion) could accelerate flows, while Fed rate cuts aid high-duration growth stocks.
Monitor capex ROI, as $3 trillion in AI infrastructure through 2028 risks overinvestment if monetization lags. Sector trends favor semiconductors and cloud, but concentration (top 10 at 47%) heightens vulnerability to rotations amid inflation or geopolitics. Competitive ETF landscape includes peers like QQQ, yet QQQM's 0.15% expense ratio enhances appeal for buy-and-hold. Earnings cycles for NVDA, MSFT, and others will signal sustainability, balanced against macro risks like supply chain fragmentation. Overall, verifiable AI-driven trends position QQQM for resilient sector exposure.
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QQQM saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on June 04, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 45 instances where the indicator turned negative. In of the 45 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .
The 10-day RSI Indicator for QQQM moved out of overbought territory on June 05, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 44 similar instances where the indicator moved out of overbought territory. In of the 44 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Momentum Indicator moved below the 0 level on June 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on QQQM as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
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 May 28, 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 Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 52 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 .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQM advanced for three days, in of 375 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 352 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeGrowth