The Vanguard Russell 1000 Growth ETF aims to mirror the Russell 1000 Growth Index by holding large-capitalization U.S. growth stocks in proportions close to their index weights. It follows a passive, index-sampling strategy across roughly 390 positions and carries one of the lowest expense ratios in its category at 0.06%.
Even with that diversification, the fund shows clear concentration at the top end. Information technology makes up about half the assets, led by semiconductors and major platforms. The largest holdings feature NVIDIA (NVDA), Apple (AAPL), Alphabet in both share classes, Microsoft (MSFT), and Broadcom (AVGO), along with Meta Platforms (META), Micron Technology (MU), and Tesla (TSLA). This structure means performance tends to track the results of a relatively small group of technology and growth leaders.
VONG sits squarely within the market’s leading theme of artificial intelligence and technology infrastructure investment. Its sizable allocations to semiconductor makers, software platforms, and internet services link returns closely to AI spending cycles, cloud demand, and the pricing strength of large franchises. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
Macro conditions add another dimension. Growth stocks with higher valuations tend to react more to shifts in long-term interest rates, as rising discount rates lower the present value of future earnings. Inflation data, policy expectations, and Treasury yields therefore carry real weight for a portfolio heavy in high-multiple technology names. Consumer discretionary holdings bring exposure to spending patterns and cyclical demand, while communication services reflect advertising and digital media trends.
After climbing toward a recent high near $133, VONG eased back to around $123. That represents a decline of about 5% over the past 30 days and essentially flat performance over three months. The move reflects a pause in the AI-driven leadership that had fueled earlier gains, as investors took profits in high-multiple technology holdings.
The pullback aligns with reduced momentum in semiconductors and mega-cap growth names that dominate the portfolio, plus fresh focus on valuations and rate sensitivity. Because a few holdings represent a large share of assets, daily and weekly moves in names such as NVIDIA (NVDA), Microsoft (MSFT), and Apple (AAPL) exert outsized influence. Broader sector rotation and changing views on monetary policy easing have also shaped positioning in large-cap growth.
Several factors should influence VONG’s path from here. The strength of AI-related capital spending will stay central, given the fund’s reliance on semiconductor and cloud leaders. Continued demand for data-center infrastructure and the semiconductor cycle in holdings such as Micron Technology (MU) and Broadcom (AVGO) could support results, while any slowdown would pressure the portfolio.
Monetary policy and the direction of long-term rates remain important, since high-multiple growth stocks stay responsive to discount-rate changes. Inflation readings and growth data will shape those views. Earnings reports from the largest constituents, rotation between growth and value, and flows into large-cap growth ETFs also warrant attention. The concentrated exposure to a narrow set of technology leaders offers both opportunity and a structural consideration.
When I want to compare holdings or spot related opportunities across sectors, Tickeron’s AI Screener serves as a practical resource. It applies technical indicators, fundamentals, volatility metrics, AI signals, trends, and pattern recognition to scan thousands of securities, helping surface ideas that complement a large-cap growth allocation without requiring manual effort across multiple screens.
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.
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
The 10-day moving average for VONG crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 15 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 87%.
The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on VONG as a result. In 64 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.
The Moving Average Convergence Divergence Histogram (MACD) for VONG turned negative on October 14, 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 48 similar instances when the indicator turned negative. In 41 of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at 85%.
VONG moved below its 50-day moving average on October 16, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where VONG 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 82%.
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where VONG's RSI Indicator exited the oversold zone, 25 of 28 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 89%.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 6 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 +1.67% 3-day Advance, the price is estimated to grow further. Considering data from situations where VONG advanced for three days, in 298 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
VONG may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 337 of 377 cases where VONG Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 89%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeGrowth