QCML vs. BAMU
QCML (GraniteShares 2x Long QCOM Daily ETF) and BAMU (Brookstone Ultra-Short Bond ETF) are both exchange-traded funds - QCML is a Leveraged Equities fund tracking the Qualcomm Inc. (QCOM), while BAMU is a Ultrashort Bond fund actively managed by Brookstone. QCML is passively managed, while BAMU is actively managed. Over the past year, QCML returned 61.74% vs 2.91% for BAMU. At a correlation of -0.02, they often move in opposite directions. QCML charges 1.50%/yr vs 1.09%/yr for BAMU.
Performance
QCML vs. BAMU - Performance Comparison
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Returns By Period
In the year-to-date period, QCML achieves a 37.20% return, which is significantly higher than BAMU's 1.18% return.
QCML
- 1D
- -3.63%
- 1M
- -18.23%
- YTD
- 37.20%
- 6M
- 32.11%
- 1Y
- 61.74%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BAMU
- 1D
- 0.02%
- 1M
- 0.16%
- YTD
- 1.18%
- 6M
- 1.23%
- 1Y
- 2.91%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
QCML vs. BAMU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
QCML GraniteShares 2x Long QCOM Daily ETF | 37.20% | -16.71% |
BAMU Brookstone Ultra-Short Bond ETF | 1.18% | 2.78% |
Correlation
The correlation between QCML and BAMU is -0.07, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.07 |
Correlation (All Time) Calculated using the full available price history since Feb 13, 2025 | -0.02 |
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Return for Risk
QCML vs. BAMU — Risk / Return Rank
QCML
BAMU
QCML vs. BAMU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for GraniteShares 2x Long QCOM Daily ETF (QCML) 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.
| QCML | BAMU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -4.38 | ||
| Sortino ratioReturn per unit of downside risk | -7.29 | ||
| Omega ratioGain probability vs. loss probability | 1.22 | 2.43 | -1.21 |
| Calmar ratioReturn relative to maximum drawdown | 1.06 | 24.72 | -23.66 |
| Martin ratioReturn relative to average drawdown | 2.16 | 97.90 | -95.74 |
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Drawdowns
QCML vs. BAMU - Drawdown Comparison
The maximum QCML drawdown since its inception was -59.13%, which is greater than BAMU's maximum drawdown of -0.36%. Use the drawdown chart below to compare losses from any high point for QCML and BAMU.
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Drawdown Indicators
| QCML | BAMU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -59.13% | -0.36% | -58.77% |
Max Drawdown (1Y)Largest decline over 1 year | -58.72% | -0.12% | -58.60% |
Current DrawdownCurrent decline from peak | -25.58% | 0.00% | -25.58% |
Average DrawdownAverage peak-to-trough decline | -28.94% | -0.02% | -28.92% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 28.67% | 0.03% | +28.64% |
Volatility
QCML vs. BAMU - Volatility Comparison
GraniteShares 2x Long QCOM Daily ETF (QCML) has a higher volatility of 55.13% compared to Brookstone Ultra-Short Bond ETF (BAMU) at 0.09%. This indicates that QCML'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
| QCML | BAMU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 55.13% | 0.09% | +55.04% |
Volatility (6M)Calculated over the trailing 6-month period | 86.76% | 0.40% | +86.36% |
Volatility (1Y)Calculated over the trailing 1-year period | 99.62% | 0.58% | +99.04% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 98.92% | 0.87% | +98.05% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 98.92% | 0.87% | +98.05% |
QCML vs. BAMU - Expense Ratio Comparison
QCML has a 1.50% expense ratio, which is higher than BAMU's 1.09% expense ratio.
Dividends
QCML vs. BAMU - Dividend Comparison
QCML 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% |
QCML GraniteShares 2x Long QCOM Daily ETF | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
QCML and BAMU have a correlation of -0.07, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
QCML has higher volatility (55.13%) compared to BAMU (0.09%). In terms of maximum drawdown, QCML dropped -59.13% vs BAMU's -0.36%.
On 1-year performance, QCML leads with 61.74% vs 2.91% for BAMU. 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, QCML has performed better with a 61.74% return vs 2.91%. 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 QCML.
BAMU has the higher dividend yield at 3.05%, compared with 0.00% for QCML.
QCML 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 QCML and 1.09% for BAMU.
BAMU currently has the higher Sharpe Ratio (5.01 vs 0.62), 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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