SPYG and VONG represent compelling options for investors seeking large-cap growth exposure in today's market. Both passive ETFs target U.S. growth stocks but differ in index methodology: SPYG focuses on S&P 500 constituents selected for sales growth, earnings momentum, and price change ratios, while VONG draws from the broader Russell 1000 for higher forecasted growth and price-to-book traits. They compete directly as low-cost vehicles for growth-oriented portfolios, appealing amid AI-fueled tech rallies and sector rotation. This ETF comparison highlights structural nuances to aid allocation decisions in a dynamic environment of capital flows into innovation-driven equities.
The State Street SPDR Portfolio S&P 500 Growth ETF (SPYG) is a passive fund tracking the S&P 500 Growth Index, which selects large-cap U.S. equities from the S&P 500 exhibiting strong growth characteristics based on sales growth, the ratio of earnings change to price, and momentum. It holds 139 stocks in a float-adjusted market-cap weighted portfolio. Top holdings include NVDA (14.57%), MSFT (9.99%), AAPL (6.30%), Alphabet Class A (5.85%), and Broadcom (AVGO, 5.36%). Sector allocations emphasize Information Technology (48.29%), Communication Services (16.80%), Financials (9.57%), Consumer Discretionary (9.32%), and Health Care (6.95%). With an ultra-low expense ratio of 0.04%, SPYG offers efficient access to elite growth names, rebalanced periodically to reflect index adjustments.
The Vanguard Russell 1000 Growth ETF (VONG) passively replicates the Russell 1000 Growth Index, measuring large-capitalization growth stocks via higher price-to-book ratios, forecasted earnings growth, and historical sales growth from the Russell 1000 universe. It comprises 391 holdings using full replication for precise tracking. Leading positions feature NVDA (12.69%), AAPL (10.76%), MSFT (9.15%), AMZN (4.76%), and AVGO (4.60%). Sectors are led by Technology (59.70%), Consumer Discretionary (17.50%), Industrials (8.90%), Health Care (7.60%), and Financials (2.50%). The 0.06% expense ratio supports cost-effective diversification, with low turnover (9.9%) from annual index reconstitution and quarterly updates.
The large-cap growth sector, dominated by technology and AI innovators, faces a transformative 2026 amid surging capital expenditures projected at over $500 billion for AI infrastructure. Catalysts include AI adoption broadening beyond hyperscalers to utilities, healthcare, and logistics, bolstering earnings growth of 13-15% for S&P 500 firms. Capital flows favor resilient growth amid moderating inflation and policy support, though risks loom from debt-funded capex, potential AI monetization delays, and sector rotation toward cyclicals like industrials and energy. Regulatory scrutiny on tech monopolies and geopolitical tensions add volatility, yet macroeconomic tailwinds like lower rates sustain momentum in innovation leaders.
In recent market cycles, SPYG and VONG have mirrored large-cap growth dynamics, with YTD declines around 3-5% reflecting tech pullbacks amid rotation pressures. Over trailing 12 months, both delivered mid-teens returns, driven by mega-cap tech earnings amid AI hype, though SPYG's S&P focus showed slight outperformance in concentrated rallies. Volatility profiles align closely, with standard deviations near benchmarks, tied to shared exposure to NVDA and MSFT. VONG's broader holdings offer marginal diversification against single-stock risks, while SPYG benefits from elite S&P liquidity. Relative positioning favors SPYG in momentum-driven upswings, with both sensitive to interest rates, sector earnings cycles, and AI capex trends.
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Tickeron’s AI currently favors SPYG for its superior cost efficiency (0.04% vs. 0.06%), tighter focus on proven S&P 500 growth leaders, and higher concentration in high-momentum holdings like NVDA. While VONG's broader diversification tempers risk, SPYG aligns better with ongoing tech sector strength and trend consistency in recent cycles, offering probabilistic advantages in relative positioning amid AI catalysts.
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| SPYG | VONG | SPYG / VONG | |
| Gain YTD | 4.269 | 0.793 | 538% |
| Net Assets | 47.5B | 44.9B | 106% |
| Total Expense Ratio | 0.04 | 0.06 | 67% |
| Turnover | 22.00 | 10.00 | 220% |
| Yield | 0.58 | 0.51 | 114% |
| Fund Existence | 26 years | 16 years | - |
| SPYG | VONG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 71% | 2 days ago 75% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 79% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 87% |
| Advances ODDS (%) | 2 days ago 84% | 2 days ago 84% |
| Declines ODDS (%) | 20 days ago 75% | 20 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 86% | 2 days ago 80% |
| Aroon ODDS (%) | 2 days ago 78% | 2 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DVDN | 17.54 | 0.43 | +2.50% |
| Kingsbarn Dividend Opportunity ETF | |||
| CGDG | 37.37 | 0.25 | +0.67% |
| Capital Group Dividend Growers ETF | |||
| MDBX | 17.94 | -0.20 | -1.10% |
| Tradr 2X Long MDB Daily ETF | |||
| SDS | 63.21 | -1.51 | -2.33% |
| ProShares UltraShort S&P500 | |||
| NVD | 5.62 | -0.19 | -3.27% |
| GraniteShares 2x Short NVDA Daily ETF | |||
A.I.dvisor indicates that over the last year, SPYG has been closely correlated with NVDA. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPYG jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To SPYG | 1D Price Change % | ||
|---|---|---|---|---|
| SPYG | 100% | +1.39% | ||
| NVDA - SPYG | 84% Closely correlated | +1.68% | ||
| LRCX - SPYG | 75% Closely correlated | +2.54% | ||
| BX - SPYG | 74% Closely correlated | +0.74% | ||
| TEL - SPYG | 73% Closely correlated | +4.08% | ||
| MPWR - SPYG | 72% Closely correlated | +4.67% | ||
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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% | ||
| GS - VONG | 71% Closely correlated | +2.88% | ||
| MPWR - VONG | 71% Closely correlated | +4.67% | ||
| MKSI - VONG | 70% Closely correlated | +3.22% | ||
| MSFT - VONG | 69% Closely correlated | +0.60% | ||
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