FNGU vs. BITX
FNGU (MicroSectors FANG+ 3X Leveraged ETNs) and BITX (2x Bitcoin Strategy ETF) are both exchange-traded funds - FNGU is a Leveraged Equities fund tracking the NYSE FANG+ Index (Gross Total Return) (300%), while BITX is a Cryptocurrency fund tracking the S&P CME Bitcoin Futures Daily Roll Index (200%). Both are passively managed. Over the past year, FNGU returned 30.95% vs -72.52% for BITX. At a 0.46 correlation, their price movements are largely independent. FNGU charges 2.60%/yr vs 2.38%/yr for BITX.
Performance
FNGU vs. BITX - Performance Comparison
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Returns By Period
In the year-to-date period, FNGU achieves a 7.21% return, which is significantly higher than BITX's -54.53% return.
FNGU
- 1D
- -7.77%
- 1M
- -5.74%
- YTD
- 7.21%
- 6M
- 4.80%
- 1Y
- 30.95%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BITX
- 1D
- 4.77%
- 1M
- -29.55%
- YTD
- -54.53%
- 6M
- -55.51%
- 1Y
- -72.52%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FNGU vs. BITX - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
FNGU MicroSectors FANG+ 3X Leveraged ETNs | 7.21% | 3.02% |
BITX 2x Bitcoin Strategy ETF | -54.53% | -39.14% |
Correlation
The correlation between FNGU and BITX is 0.44, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.44 |
Correlation (All Time) Calculated using the full available price history since Feb 20, 2025 | 0.46 |
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Return for Risk
FNGU vs. BITX — Risk / Return Rank
FNGU
BITX
FNGU vs. BITX - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MicroSectors FANG+ 3X Leveraged ETNs (FNGU) and 2x Bitcoin Strategy ETF (BITX). 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.
| FNGU | BITX | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +1.31 | ||
| Sortino ratioReturn per unit of downside risk | +2.45 | ||
| Omega ratioGain probability vs. loss probability | 1.13 | 0.85 | +0.29 |
| Calmar ratioReturn relative to maximum drawdown | 0.52 | -0.88 | +1.41 |
| Martin ratioReturn relative to average drawdown | 1.24 | -1.37 | +2.61 |
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Drawdowns
FNGU vs. BITX - Drawdown Comparison
The maximum FNGU drawdown since its inception was -61.30%, smaller than the maximum BITX drawdown of -82.16%. Use the drawdown chart below to compare losses from any high point for FNGU and BITX.
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Drawdown Indicators
| FNGU | BITX | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -61.30% | -82.16% | +20.86% |
Max Drawdown (1Y)Largest decline over 1 year | -59.55% | -82.16% | +22.61% |
Current DrawdownCurrent decline from peak | -25.09% | -79.90% | +54.81% |
Average DrawdownAverage peak-to-trough decline | -22.25% | -32.44% | +10.19% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 25.10% | 52.98% | -27.88% |
Volatility
FNGU vs. BITX - Volatility Comparison
MicroSectors FANG+ 3X Leveraged ETNs (FNGU) has a higher volatility of 32.41% compared to 2x Bitcoin Strategy ETF (BITX) at 25.73%. This indicates that FNGU's price experiences larger fluctuations and is considered to be riskier than BITX based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FNGU | BITX | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 32.41% | 25.73% | +6.68% |
Volatility (6M)Calculated over the trailing 6-month period | 52.02% | 69.23% | -17.21% |
Volatility (1Y)Calculated over the trailing 1-year period | 64.11% | 87.85% | -23.74% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 81.02% | 98.16% | -17.14% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 81.02% | 98.16% | -17.14% |
FNGU vs. BITX - Expense Ratio Comparison
FNGU has a 2.60% expense ratio, which is higher than BITX's 2.38% expense ratio.
Dividends
FNGU vs. BITX - Dividend Comparison
FNGU has not paid dividends to shareholders, while BITX's dividend yield for the trailing twelve months is around 35.05%.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
BITX 2x Bitcoin Strategy ETF | 35.05% | 21.69% | 10.70% |
FNGU MicroSectors FANG+ 3X Leveraged ETNs | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
FNGU and BITX have a correlation of 0.44, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FNGU has higher volatility (32.41%) compared to BITX (25.73%). In terms of maximum drawdown, FNGU dropped -61.30% vs BITX's -82.16%.
On 1-year performance, FNGU leads with 30.95% vs -72.52% for BITX. On fees, BITX is cheaper at 2.38% per year. On volatility, BITX has been the lower-risk option at 25.73%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, FNGU has performed better with a 30.95% return vs -72.52%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BITX is cheaper with a 2.38% expense ratio, compared with 2.60% for FNGU.
BITX has the higher dividend yield at 35.05%, compared with 0.00% for FNGU.
FNGU is categorized as Leveraged Equities, while BITX is Cryptocurrency. FNGU tracks NYSE FANG+ Index (Gross Total Return) (300%), while BITX tracks S&P CME Bitcoin Futures Daily Roll Index (200%). They also come from different issuers: Bank of Montreal and Volatility Shares. Their fees differ too: 2.60% for FNGU and 2.38% for BITX.
FNGU currently has the higher Sharpe Ratio (0.49 vs -0.83), 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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