SPXL vs. VONG
SPXL (Direxion Daily S&P 500 Bull 3X ETF) and VONG (Vanguard Russell 1000 Growth ETF) are both exchange-traded funds - SPXL is a Leveraged Equities fund tracking the S&P 500, while VONG is a Large Cap Growth Equities fund tracking the Russell 1000 Growth Index. Both are passively managed. Over the past 10 years, SPXL returned 30.05%/yr vs 18.28%/yr for VONG. Their correlation of 0.93 suggests significant overlap in exposure. SPXL charges 0.84%/yr vs 0.06%/yr for VONG.
Performance
SPXL vs. VONG - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, SPXL achieves a 14.56% return, which is significantly higher than VONG's 0.56% return. Over the past 10 years, SPXL has outperformed VONG with an annualized return of 30.05%, while VONG has yielded a comparatively lower 18.28% annualized return.
SPXL
- 1D
- -2.28%
- 1M
- -11.42%
- YTD
- 14.56%
- 6M
- 10.31%
- 1Y
- 48.17%
- 3Y*
- 44.34%
- 5Y*
- 19.91%
- 10Y*
- 30.05%
VONG
- 1D
- 0.39%
- 1M
- -7.09%
- YTD
- 0.56%
- 6M
- -0.97%
- 1Y
- 13.10%
- 3Y*
- 21.36%
- 5Y*
- 12.80%
- 10Y*
- 18.28%
SPXL vs. VONG - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
SPXL Direxion Daily S&P 500 Bull 3X ETF | 14.56% | 31.94% | 63.61% | 69.49% | -56.55% | 98.75% | 9.64% | 102.80% | -25.11% | 71.03% |
VONG Vanguard Russell 1000 Growth ETF | 0.56% | 18.45% | 33.20% | 42.67% | -29.18% | 27.60% | 38.30% | 36.06% | -1.53% | 30.05% |
Correlation
The correlation between SPXL and VONG is 0.92, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.92 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.93 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.95 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.93 |
Correlation (All Time) Calculated using the full available price history since Sep 22, 2010 | 0.93 |
The correlation between SPXL and VONG has been stable across timeframes, ranging from 0.92 to 0.95 - a consistent structural relationship.
SPXL vs. VONG - Sectors Allocation Comparison
Sectors
SPXL
VONG
Technology
Financial Services
Communication Services
Consumer Cyclical
Healthcare
Industrials
Consumer Defensive
Energy
Utilities
Real Estate
Basic Materials
Technology
SPXL
VONG
Financial Services
SPXL
VONG
Communication Services
SPXL
VONG
Consumer Cyclical
SPXL
VONG
Healthcare
SPXL
VONG
Industrials
SPXL
VONG
Consumer Defensive
SPXL
VONG
Energy
SPXL
VONG
Utilities
SPXL
VONG
Real Estate
SPXL
VONG
Basic Materials
SPXL
VONG
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
SPXL vs. VONG — Risk / Return Rank
SPXL
VONG
SPXL vs. VONG - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Direxion Daily S&P 500 Bull 3X ETF (SPXL) and Vanguard Russell 1000 Growth ETF (VONG). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| SPXL | VONG | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.50 | ||
| Sortino ratioReturn per unit of downside risk | +0.60 | ||
| Omega ratioGain probability vs. loss probability | 1.24 | 1.16 | +0.08 |
| Calmar ratioReturn relative to maximum drawdown | 1.88 | 0.85 | +1.04 |
| Martin ratioReturn relative to average drawdown | 7.54 | 2.72 | +4.82 |
Loading charts...
Drawdowns
SPXL vs. VONG - Drawdown Comparison
The maximum SPXL drawdown since its inception was -76.86%, which is greater than VONG's maximum drawdown of -32.72%. Use the drawdown chart below to compare losses from any high point for SPXL and VONG.
Loading charts...
Drawdown Indicators
| SPXL | VONG | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -76.86% | -32.72% | -44.14% |
Max Drawdown (1Y)Largest decline over 1 year | -26.77% | -16.23% | -10.54% |
Max Drawdown (3Y)Largest decline over 3 years | -48.95% | -23.27% | -25.68% |
Max Drawdown (5Y)Largest decline over 5 years | -63.80% | -32.72% | -31.08% |
Max Drawdown (10Y)Largest decline over 10 years | -76.86% | -32.72% | -44.14% |
Current DrawdownCurrent decline from peak | -12.46% | -7.73% | -4.73% |
Average DrawdownAverage peak-to-trough decline | -16.09% | -4.88% | -11.21% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 6.67% | 5.04% | +1.63% |
Volatility
SPXL vs. VONG - Volatility Comparison
Direxion Daily S&P 500 Bull 3X ETF (SPXL) has a higher volatility of 14.54% compared to Vanguard Russell 1000 Growth ETF (VONG) at 6.08%. This indicates that SPXL's price experiences larger fluctuations and is considered to be riskier than VONG based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| SPXL | VONG | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 14.54% | 6.08% | +8.46% |
Volatility (6M)Calculated over the trailing 6-month period | 29.44% | 12.55% | +16.89% |
Volatility (1Y)Calculated over the trailing 1-year period | 37.26% | 16.13% | +21.13% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 50.52% | 21.45% | +29.07% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 53.42% | 20.91% | +32.51% |
SPXL vs. VONG - Expense Ratio Comparison
SPXL has a 0.84% expense ratio, which is higher than VONG's 0.06% expense ratio.
Dividends
SPXL vs. VONG - Dividend Comparison
SPXL's dividend yield for the trailing twelve months is around 0.57%, more than VONG's 0.48% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SPXL Direxion Daily S&P 500 Bull 3X ETF | 0.57% | 0.69% | 0.74% | 0.98% | 0.32% | 0.11% | 0.22% | 0.84% | 1.02% | 3.88% | 0.00% | 0.00% |
VONG Vanguard Russell 1000 Growth ETF | 0.48% | 0.45% | 0.55% | 0.71% | 0.98% | 0.58% | 0.77% | 1.03% | 1.18% | 1.19% | 1.48% | 1.47% |
Frequently Asked Questions
With a correlation of 0.92, SPXL and VONG move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
SPXL has higher volatility (14.54%) compared to VONG (6.08%). In terms of maximum drawdown, SPXL dropped -76.86% vs VONG's -32.72%.
On 10-year performance, SPXL leads with 30.05% vs 18.28% for VONG. On fees, VONG is cheaper at 0.06% per year. On volatility, VONG has been the lower-risk option at 6.08%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, SPXL has performed better with a 30.05% return vs 18.28%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
VONG is cheaper with a 0.06% expense ratio, compared with 0.84% for SPXL.
SPXL has the higher dividend yield at 0.57%, compared with 0.48% for VONG.
SPXL is categorized as Leveraged Equities, while VONG is Large Cap Growth Equities. SPXL tracks S&P 500, while VONG tracks Russell 1000 Growth Index. They also come from different issuers: Direxion and Vanguard. Their fees differ too: 0.84% for SPXL and 0.06% for VONG.
SPXL currently has the higher Sharpe Ratio (1.35 vs 0.85), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for SPXL and VONG
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer