XXXX vs. FNGU
XXXX (MAX S&P 500 4X Leveraged ETN) and FNGU (MicroSectors FANG+ 3X Leveraged ETNs) are both Leveraged Equities funds - XXXX tracks the S&P 500 Index (400%) while FNGU tracks the NYSE FANG+ Index (Gross Total Return) (300%). Both are passively managed. Over the past year, XXXX returned 24.99% vs -7.32% for FNGU. Their correlation of 0.80 means they have usually moved in the same direction. XXXX charges 2.95%/yr vs 2.60%/yr for FNGU.
Performance
XXXX vs. FNGU - Performance Comparison
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Returns By Period
In the year-to-date period, XXXX achieves a 7.44% return, which is significantly higher than FNGU's -7.21% return.
XXXX
- 1D
- -6.36%
- 1M
- -8.76%
- 6M
- 1.73%
- YTD
- 7.44%
- 1Y
- 24.99%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 38.66%
FNGU
- 1D
- -4.72%
- 1M
- -7.13%
- 6M
- -1.55%
- YTD
- -7.21%
- 1Y
- -7.32%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- -3.09%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $92.82M | $119.47M | $156.33M | |
| $19.76M | $23.75M | $27.68M |
XXXX vs. FNGU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
XXXX MAX S&P 500 4X Leveraged ETN | 7.44% | 3.34% |
FNGU MicroSectors FANG+ 3X Leveraged ETNs | -7.21% | 3.02% |
Correlation
The correlation between XXXX and FNGU is 0.80, meaning they have usually moved in the same direction, including during past declines.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.80 |
Correlation (All Time) Calculated using the full available price history since Feb 20, 2025 | 0.80 |
The correlation between XXXX and FNGU has been stable across timeframes, ranging from 0.80 to 0.80 - a consistent structural relationship.
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Return for Risk
XXXX vs. FNGU — Risk / Return Rank
XXXX
FNGU
XXXX vs. FNGU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MAX S&P 500 4X Leveraged ETN (XXXX) and MicroSectors FANG+ 3X Leveraged ETNs (FNGU). 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.
| XXXX | FNGU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.61 | ||
| Sortino ratioReturn per unit of downside risk | +0.69 | ||
| Omega ratioGain probability vs. loss probability | 1.12 | 1.04 | +0.09 |
| Calmar ratioReturn relative to maximum drawdown | 0.67 | -0.12 | +0.80 |
| Martin ratioReturn relative to average drawdown | 2.36 | -0.28 | +2.63 |
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Drawdowns
XXXX vs. FNGU - Drawdown Comparison
The maximum XXXX drawdown since its inception was -62.27%, roughly equal to the maximum FNGU drawdown of -61.30%. Use the drawdown chart below to compare losses from any high point for XXXX and FNGU.
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Drawdown Indicators
| XXXX | FNGU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -62.27% | -61.30% | -0.97% |
Max Drawdown (1Y)Largest decline over 1 year | -37.25% | -59.55% | +22.30% |
Current DrawdownCurrent decline from peak | -19.31% | -35.16% | +15.85% |
Average DrawdownAverage peak-to-trough decline | -11.54% | -22.58% | +11.04% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 10.64% | 26.57% | -15.93% |
Volatility
XXXX vs. FNGU - Volatility Comparison
The current volatility for MAX S&P 500 4X Leveraged ETN (XXXX) is 12.64%, while MicroSectors FANG+ 3X Leveraged ETNs (FNGU) has a volatility of 15.56%. This indicates that XXXX experiences smaller price fluctuations and is considered to be less risky than FNGU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| XXXX | FNGU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 12.64% | 15.56% | -2.92% |
Volatility (6M)Calculated over the trailing 6-month period | 39.70% | 53.10% | -13.40% |
Volatility (1Y)Calculated over the trailing 1-year period | 50.49% | 65.17% | -14.68% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 60.64% | 79.50% | -18.86% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 60.64% | 79.50% | -18.86% |
XXXX vs. FNGU - Expense Ratio Comparison
XXXX has a 2.95% expense ratio, which is higher than FNGU's 2.60% expense ratio.
Dividends
XXXX vs. FNGU - Dividend Comparison
Neither XXXX nor FNGU has paid dividends to shareholders.
Frequently Asked Questions
XXXX and FNGU have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FNGU has higher volatility (15.56%) compared to XXXX (12.64%). In terms of maximum drawdown, XXXX dropped -62.27% vs FNGU's -61.30%.
On 1-year performance, XXXX leads with 24.99% vs -7.32% for FNGU. On fees, FNGU is cheaper at 2.60% per year. On volatility, XXXX has been the lower-risk option at 12.64%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, XXXX has performed better with a 24.99% return vs -7.32%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FNGU is cheaper with a 2.60% expense ratio, compared with 2.95% for XXXX.
XXXX and FNGU have nearly identical dividend yields, around 0.00%.
XXXX tracks S&P 500 Index (400%), while FNGU tracks NYSE FANG+ Index (Gross Total Return) (300%). They also come from different issuers: Max and Bank of Montreal. Their fees differ too: 2.95% for XXXX and 2.60% for FNGU.
XXXX currently has the higher Sharpe Ratio (0.50 vs -0.11), 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.
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