QCML vs. CAOS
QCML (GraniteShares 2x Long QCOM Daily ETF) and CAOS (Alpha Architect Tail Risk ETF) are both exchange-traded funds - QCML is a Leveraged Equities fund tracking the Qualcomm Inc. (QCOM), while CAOS is a Options Trading fund actively managed by Alpha Architect. QCML is passively managed, while CAOS is actively managed. Over the past year, QCML returned -27.37% vs 1.73% for CAOS. Their -0.25 correlation means they have often moved in opposite directions in the past. QCML charges 1.50%/yr vs 0.63%/yr for CAOS.
Performance
QCML vs. CAOS - Performance Comparison
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Returns By Period
In the year-to-date period, QCML achieves a -42.41% return, which is significantly lower than CAOS's 0.76% return.
QCML
- 1D
- -5.62%
- 1M
- -31.62%
- 6M
- -25.47%
- YTD
- -42.41%
- 1Y
- -27.37%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- -39.56%
CAOS
- 1D
- -0.06%
- 1M
- -0.01%
- 6M
- 0.16%
- YTD
- 0.76%
- 1Y
- 1.73%
- 3Y*
- 3.48%
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 4.70%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $6.81M | $5.39M | $5.09M | |
| $8.37M | $13.54M | $57.95M |
QCML vs. CAOS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
QCML GraniteShares 2x Long QCOM Daily ETF | -42.41% | -16.71% |
CAOS Alpha Architect Tail Risk ETF | 0.76% | 2.20% |
Correlation
The correlation between QCML and CAOS is -0.25, meaning they have often moved in opposite directions in the past. This relationship can weaken or reverse as market conditions change.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | -0.25 |
Correlation (All Time) Calculated using the full available price history since Feb 13, 2025 | -0.25 |
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Return for Risk
QCML vs. CAOS — Risk / Return Rank
QCML
CAOS
QCML vs. CAOS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for GraniteShares 2x Long QCOM Daily ETF (QCML) and Alpha Architect Tail Risk ETF (CAOS). 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 | CAOS | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.46 | ||
| Sortino ratioReturn per unit of downside risk | -1.59 | ||
| Omega ratioGain probability vs. loss probability | 1.04 | 1.24 | -0.20 |
| Calmar ratioReturn relative to maximum drawdown | -0.41 | 2.47 | -2.88 |
| Martin ratioReturn relative to average drawdown | -0.83 | 5.45 | -6.28 |
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Drawdowns
QCML vs. CAOS - Drawdown Comparison
The maximum QCML drawdown since its inception was -68.76%, which is greater than CAOS's maximum drawdown of -3.89%. Use the drawdown chart below to compare losses from any high point for QCML and CAOS.
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Drawdown Indicators
| QCML | CAOS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -68.76% | -3.89% | -64.87% |
Max Drawdown (1Y)Largest decline over 1 year | -68.76% | -0.76% | -68.00% |
Max Drawdown (3Y)Largest decline over 3 years | — | -3.60% | — |
Current DrawdownCurrent decline from peak | -68.76% | -1.13% | -67.63% |
Average DrawdownAverage peak-to-trough decline | -30.79% | -0.92% | -29.87% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 33.51% | 0.34% | +33.17% |
Volatility
QCML vs. CAOS - Volatility Comparison
GraniteShares 2x Long QCOM Daily ETF (QCML) has a higher volatility of 24.96% compared to Alpha Architect Tail Risk ETF (CAOS) at 0.51%. This indicates that QCML's price experiences larger fluctuations and is considered to be riskier than CAOS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| QCML | CAOS | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 24.96% | 0.51% | +24.45% |
Volatility (6M)Calculated over the trailing 6-month period | 92.90% | 1.07% | +91.83% |
Volatility (1Y)Calculated over the trailing 1-year period | 105.25% | 1.57% | +103.68% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 99.78% | 4.18% | +95.60% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 99.78% | 4.18% | +95.60% |
QCML vs. CAOS - Expense Ratio Comparison
QCML has a 1.50% expense ratio, which is higher than CAOS's 0.63% expense ratio.
Dividends
QCML vs. CAOS - Dividend Comparison
Neither QCML nor CAOS has paid dividends to shareholders.
Frequently Asked Questions
QCML and CAOS have a correlation of -0.25, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
QCML has higher volatility (24.96%) compared to CAOS (0.51%). In terms of maximum drawdown, QCML dropped -68.76% vs CAOS's -3.89%.
On 1-year performance, CAOS leads with 1.73% vs -27.37% for QCML. On fees, CAOS is cheaper at 0.63% per year. On volatility, CAOS has been the lower-risk option at 0.51%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, CAOS has performed better with a 1.73% return vs -27.37%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
CAOS is cheaper with a 0.63% expense ratio, compared with 1.50% for QCML.
QCML and CAOS have nearly identical dividend yields, around 0.00%.
QCML is categorized as Leveraged Equities, while CAOS is Options Trading. They also come from different issuers: GraniteShares and Alpha Architect. Their fees differ too: 1.50% for QCML and 0.63% for CAOS.
CAOS currently has the higher Sharpe Ratio (1.19 vs -0.27), 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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