IONL vs. BAMU
IONL (GraniteShares 2x Long IONQ Daily ETF) and BAMU (Brookstone Ultra-Short Bond ETF) are both exchange-traded funds - IONL is a Leveraged Equities fund tracking the IonQ Inc. (IONQ), while BAMU is a Ultrashort Bond fund actively managed by Brookstone. IONL is passively managed, while BAMU is actively managed. Over the past year, IONL returned -28.77% vs 2.87% for BAMU. At a correlation of -0.02, they often move in opposite directions. IONL charges 1.50%/yr vs 1.09%/yr for BAMU.
Performance
IONL vs. BAMU - Performance Comparison
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Returns By Period
In the year-to-date period, IONL achieves a -1.24% return, which is significantly lower than BAMU's 1.18% return.
IONL
- 1D
- -2.31%
- 1M
- -24.66%
- YTD
- -1.24%
- 6M
- -25.60%
- 1Y
- -28.77%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BAMU
- 1D
- 0.00%
- 1M
- 0.16%
- YTD
- 1.18%
- 6M
- 1.29%
- 1Y
- 2.87%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
IONL vs. BAMU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
IONL GraniteShares 2x Long IONQ Daily ETF | -1.24% | 38.57% |
BAMU Brookstone Ultra-Short Bond ETF | 1.18% | 2.37% |
Correlation
The correlation between IONL and BAMU is -0.10, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.10 |
Correlation (All Time) Calculated using the full available price history since Mar 25, 2025 | -0.02 |
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Return for Risk
IONL vs. BAMU — Risk / Return Rank
IONL
BAMU
IONL vs. BAMU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for GraniteShares 2x Long IONQ Daily ETF (IONL) and Brookstone Ultra-Short Bond ETF (BAMU). 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.
| IONL | BAMU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -5.10 | ||
| Sortino ratioReturn per unit of downside risk | -7.57 | ||
| Omega ratioGain probability vs. loss probability | 1.13 | 2.41 | -1.28 |
| Calmar ratioReturn relative to maximum drawdown | -0.31 | 24.37 | -24.68 |
| Martin ratioReturn relative to average drawdown | -0.45 | 96.52 | -96.97 |
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Drawdowns
IONL vs. BAMU - Drawdown Comparison
The maximum IONL drawdown since its inception was -93.41%, which is greater than BAMU's maximum drawdown of -0.36%. Use the drawdown chart below to compare losses from any high point for IONL and BAMU.
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Drawdown Indicators
| IONL | BAMU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -93.41% | -0.36% | -93.05% |
Max Drawdown (1Y)Largest decline over 1 year | -93.41% | -0.12% | -93.29% |
Current DrawdownCurrent decline from peak | -76.88% | 0.00% | -76.88% |
Average DrawdownAverage peak-to-trough decline | -51.02% | -0.02% | -51.00% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 64.33% | 0.03% | +64.30% |
Volatility
IONL vs. BAMU - Volatility Comparison
GraniteShares 2x Long IONQ Daily ETF (IONL) has a higher volatility of 57.44% compared to Brookstone Ultra-Short Bond ETF (BAMU) at 0.09%. This indicates that IONL's price experiences larger fluctuations and is considered to be riskier than BAMU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| IONL | BAMU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 57.44% | 0.09% | +57.35% |
Volatility (6M)Calculated over the trailing 6-month period | 134.01% | 0.39% | +133.62% |
Volatility (1Y)Calculated over the trailing 1-year period | 186.14% | 0.58% | +185.56% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 195.72% | 0.87% | +194.85% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 195.72% | 0.87% | +194.85% |
IONL vs. BAMU - Expense Ratio Comparison
IONL has a 1.50% expense ratio, which is higher than BAMU's 1.09% expense ratio.
Dividends
IONL vs. BAMU - Dividend Comparison
IONL has not paid dividends to shareholders, while BAMU's dividend yield for the trailing twelve months is around 3.05%.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
BAMU Brookstone Ultra-Short Bond ETF | 3.05% | 3.20% | 3.97% | 0.84% |
IONL GraniteShares 2x Long IONQ Daily ETF | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
IONL and BAMU have a correlation of -0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
IONL has higher volatility (57.44%) compared to BAMU (0.09%). In terms of maximum drawdown, IONL dropped -93.41% vs BAMU's -0.36%.
On 1-year performance, BAMU leads with 2.87% vs -28.77% for IONL. On fees, BAMU is cheaper at 1.09% per year. On volatility, BAMU has been the lower-risk option at 0.09%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, BAMU has performed better with a 2.87% return vs -28.77%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BAMU is cheaper with a 1.09% expense ratio, compared with 1.50% for IONL.
BAMU has the higher dividend yield at 3.05%, compared with 0.00% for IONL.
IONL is categorized as Leveraged Equities, while BAMU is Ultrashort Bond. They also come from different issuers: GraniteShares and Brookstone. Their fees differ too: 1.50% for IONL and 1.09% for BAMU.
BAMU currently has the higher Sharpe Ratio (4.94 vs -0.16), 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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