Investors navigating large-cap growth exposure often compare QQQ and VONG, two prominent ETFs targeting high-growth U.S. equities. QQQ provides concentrated access to Nasdaq-100 innovators, while VONG offers broader Russell 1000 Growth diversification. These funds compete within the growth category but differ in scope: QQQ emphasizes non-financial Nasdaq leaders, appealing to those seeking tech-heavy purity, whereas VONG captures a wider large-cap growth universe. Amid ongoing AI-driven capital flows and sector momentum, this ETF comparison highlights structural nuances, aiding decisions on exposure profiles, costs, and relative positioning in evolving market cycles.
The Invesco QQQ Trust (QQQ) is a passive ETF tracking the Nasdaq-100 Index, comprising the 100 largest non-financial companies listed on Nasdaq. It holds 102 securities, with top holdings including NVDA (8.75%), AAPL (7.51%), MSFT (5.89%), AMZN (4.47%), and TSLA (3.88%) as of recent data. Sector allocations feature technology at 59.77%, consumer discretionary at 20.75%, and health care at 5.25%. The expense ratio is 0.18%, and the fund rebalances quarterly while reconstituting annually. QQQ's unit investment trust structure ensures high liquidity, positioning it as a benchmark for innovation-driven growth.
The Vanguard Russell 1000 Growth ETF (VONG) passively tracks the Russell 1000 Growth Index, measuring large-capitalization U.S. growth stocks. It maintains 391 holdings, led by NVDA (12.69%), AAPL (10.76%), MSFT (9.15%), AMZN (4.76%), and AVGO (4.60%). Sectors include technology (59.70%), consumer discretionary (17.50%), industrials (8.90%), and health care (7.60%). With an ultra-low expense ratio of 0.06%, VONG employs full replication and rebalances in line with the index. Its ETF structure supports broad growth exposure with reduced concentration versus narrower peers.
Both ETFs operate in the large-cap growth arena, dominated by technology amid sustained AI infrastructure buildout and mega-cap earnings momentum. Capital flows favor innovation leaders, with hyperscalers ramping CapEx to $300 billion annually for data centers and computing power. Macro drivers like interest rate trajectories and sector rotation influence performance, as growth stocks benefit from AI catalysts but face risks from valuation stretches and energy demands. Regulatory scrutiny on tech monopolies and geopolitical tensions add volatility, yet long-term trends in cloud, semiconductors, and digital transformation underpin resilience across recent market cycles.
In recent weeks, QQQ has demonstrated relative resilience amid growth sector pressures, outperforming VONG year-to-date by approximately 3 percentage points due to its concentrated mega-cap tilt and Nasdaq purity. Over broader periods like the past year, QQQ's focus on high-momentum innovators has driven superior returns, tied to earnings beats from top holdings like NVDA and AAPL. VONG's broader diversification tempers volatility but lags in upswings from sector rotation into tech. Both exhibit elevated betas around 1.15-1.18, with QQQ's tighter holdings amplifying swings from AI trends and rate expectations.
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Tickeron’s AI currently favors VONG for its superior cost efficiency (0.06% expense ratio), broader 391-holding diversification, and balanced sector exposure including industrials and health care, mitigating mega-cap concentration risks evident in QQQ. While QQQ excels in liquidity and Nasdaq innovation momentum, VONG's structural advantages position it probabilistically stronger across varied market cycles, particularly amid potential growth rotations.
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| QQQ | VONG | QQQ / VONG | |
| Gain YTD | 5.756 | 0.793 | 726% |
| Net Assets | 426B | 44.9B | 949% |
| Total Expense Ratio | 0.18 | 0.06 | 300% |
| Turnover | 7.98 | 10.00 | 80% |
| Yield | 0.49 | 0.51 | 96% |
| Fund Existence | 27 years | 16 years | - |
| QQQ | VONG | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 76% | 3 days ago 75% |
| Stochastic ODDS (%) | 3 days ago 80% | 3 days ago 79% |
| Momentum ODDS (%) | 3 days ago 86% | 3 days ago 80% |
| MACD ODDS (%) | 3 days ago 83% | 3 days ago 72% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 88% | 3 days ago 87% |
| Advances ODDS (%) | 3 days ago 86% | 3 days ago 84% |
| Declines ODDS (%) | 21 days ago 80% | 21 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 80% |
| Aroon ODDS (%) | 3 days ago 85% | 3 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BBIN | 78.53 | 1.02 | +1.32% |
| JPMorgan BetaBuilders Intl Eq ETF | |||
| BNJ | 15.31 | 0.14 | +0.92% |
| Brookfield Finance I (UK) plc | |||
| IBTM | 23.02 | 0.10 | +0.44% |
| iShares iBonds Dec 2032 Term Trs ETF | |||
| FCA | 32.96 | N/A | +0.02% |
| First Trust China AlphaDEX® ETF | |||
| AGRH | 26.18 | N/A | N/A |
| iShares Interest Rt Hdg U.S. Aggt Bd ETF | |||
A.I.dvisor indicates that over the last year, VONG has been closely correlated with NVDA. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if VONG jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To VONG | 1D Price Change % | ||
|---|---|---|---|---|
| VONG | 100% | +1.48% | ||
| NVDA - VONG | 78% Closely correlated | +1.68% | ||
| MPWR - VONG | 71% Closely correlated | +4.67% | ||
| MKSI - VONG | 70% Closely correlated | +3.22% | ||
| AVGO - VONG | 67% Closely correlated | +2.03% | ||
| AMZN - VONG | 65% Loosely correlated | +0.34% | ||
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