FNGU vs. XXXX
FNGU (MicroSectors FANG+ 3X Leveraged ETNs) and XXXX (MAX S&P 500 4X Leveraged ETN) are both Leveraged Equities funds - FNGU tracks the NYSE FANG+ Index (Gross Total Return) (300%) while XXXX tracks the S&P 500. Both are passively managed. Over the past year, FNGU returned 64.67% vs 86.73% for XXXX. Their correlation of 0.80 suggests significant overlap in exposure. FNGU charges 2.60%/yr vs 2.95%/yr for XXXX.
Performance
FNGU vs. XXXX - Performance Comparison
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Returns By Period
In the year-to-date period, FNGU achieves a 36.18% return, which is significantly higher than XXXX's 29.32% return.
FNGU
- 1D
- -3.75%
- 1M
- 33.96%
- YTD
- 36.18%
- 6M
- 16.22%
- 1Y
- 64.67%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
XXXX
- 1D
- -2.88%
- 1M
- 18.44%
- YTD
- 29.32%
- 6M
- 26.06%
- 1Y
- 86.73%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FNGU vs. XXXX - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
FNGU MicroSectors FANG+ 3X Leveraged ETNs | 36.18% | 4.24% |
XXXX MAX S&P 500 4X Leveraged ETN | 29.32% | 5.08% |
Correlation
The correlation between FNGU and XXXX is 0.78, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.78 |
Correlation (All Time) Calculated using the full available price history since Feb 21, 2025 | 0.80 |
The correlation between FNGU and XXXX has been stable across timeframes, ranging from 0.78 to 0.80 - a consistent structural relationship.
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Return for Risk
FNGU vs. XXXX — Risk / Return Rank
FNGU
XXXX
FNGU vs. XXXX - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MicroSectors FANG+ 3X Leveraged ETNs (FNGU) and MAX S&P 500 4X Leveraged ETN (XXXX). 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.
| FNGU | XXXX | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.73 | ||
| Sortino ratioReturn per unit of downside risk | -0.61 | ||
| Omega ratioGain probability vs. loss probability | 1.21 | 1.30 | -0.09 |
| Calmar ratioReturn relative to maximum drawdown | 1.09 | 2.34 | -1.25 |
| Martin ratioReturn relative to average drawdown | 2.64 | 8.95 | -6.31 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| FNGU | XXXX | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.13 | 1.86 | -0.73 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.40 | 0.87 | -0.46 |
Drawdowns
FNGU vs. XXXX - Drawdown Comparison
The maximum FNGU drawdown since its inception was -60.84%, roughly equal to the maximum XXXX drawdown of -62.27%. Use the drawdown chart below to compare losses from any high point for FNGU and XXXX.
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Drawdown Indicators
| FNGU | XXXX | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -60.84% | -62.27% | +1.43% |
Max Drawdown (1Y)Largest decline over 1 year | -59.55% | -37.25% | -22.30% |
Current DrawdownCurrent decline from peak | -4.84% | -2.88% | -1.96% |
Average DrawdownAverage peak-to-trough decline | -22.06% | -11.60% | -10.46% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 24.57% | 9.73% | +14.84% |
Volatility
FNGU vs. XXXX - Volatility Comparison
MicroSectors FANG+ 3X Leveraged ETNs (FNGU) has a higher volatility of 16.40% compared to MAX S&P 500 4X Leveraged ETN (XXXX) at 11.32%. This indicates that FNGU's price experiences larger fluctuations and is considered to be riskier than XXXX based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FNGU | XXXX | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 16.40% | 11.32% | +5.08% |
Volatility (6M)Calculated over the trailing 6-month period | 44.77% | 35.41% | +9.36% |
Volatility (1Y)Calculated over the trailing 1-year period | 57.50% | 46.83% | +10.67% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 78.60% | 60.75% | +17.85% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 78.60% | 60.75% | +17.85% |
FNGU vs. XXXX - Expense Ratio Comparison
FNGU has a 2.60% expense ratio, which is lower than XXXX's 2.95% expense ratio.
Dividends
FNGU vs. XXXX - Dividend Comparison
Neither FNGU nor XXXX has paid dividends to shareholders.
Frequently Asked Questions
FNGU and XXXX have a correlation of 0.78, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FNGU has higher volatility (16.40%) compared to XXXX (11.32%). In terms of maximum drawdown, FNGU dropped -60.84% vs XXXX's -62.27%.
On 1-year performance, XXXX leads with 86.73% vs 64.67% for FNGU. On fees, FNGU is cheaper at 2.60% per year. On volatility, XXXX has been the lower-risk option at 11.32%. 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 86.73% return vs 64.67%. 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.
FNGU and XXXX have nearly identical dividend yields, around 0.00%.
FNGU tracks NYSE FANG+ Index (Gross Total Return) (300%), while XXXX tracks S&P 500. They also come from different issuers: Bank of Montreal and Max. Their fees differ too: 2.60% for FNGU and 2.95% for XXXX.
XXXX currently has the higher Sharpe Ratio (1.86 vs 1.13), 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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