BBB vs. MFUL
BBB (CYBER HORNET S&P 500 and Bitcoin 75/25 Strategy ETF) and MFUL (Mindful Conservative ETF) are both Diversified Portfolio funds. BBB is passively managed, while MFUL is actively managed. Over the past year, BBB returned -0.63% vs 4.88% for MFUL. A 0.63 correlation means they provide meaningful diversification when combined. BBB charges 0.98%/yr vs 1.10%/yr for MFUL.
Performance
BBB vs. MFUL - Performance Comparison
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Returns By Period
In the year-to-date period, BBB achieves a -0.51% return, which is significantly lower than MFUL's 2.53% return.
BBB
- 1D
- -1.27%
- 1M
- 0.28%
- 6M
- -2.86%
- YTD
- -0.51%
- 1Y
- -0.63%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MFUL
- 1D
- -0.36%
- 1M
- -0.32%
- 6M
- 1.68%
- YTD
- 2.53%
- 1Y
- 4.88%
- 3Y*
- 4.33%
- 5Y*
- —
- 10Y*
- —
BBB vs. MFUL - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
BBB CYBER HORNET S&P 500 and Bitcoin 75/25 Strategy ETF | -0.51% | 9.73% | 38.82% | -0.86% |
MFUL Mindful Conservative ETF | 2.53% | 4.51% | 5.36% | -0.19% |
Correlation
The correlation between BBB and MFUL is 0.73, 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 | 0.73 |
Correlation (All Time) Calculated using the full available price history since Dec 28, 2023 | 0.63 |
The correlation between BBB and MFUL has been stable across timeframes, ranging from 0.63 to 0.73 - a consistent structural relationship.
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Return for Risk
BBB vs. MFUL — Risk / Return Rank
BBB
MFUL
BBB vs. MFUL - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for CYBER HORNET S&P 500 and Bitcoin 75/25 Strategy ETF (BBB) and Mindful Conservative ETF (MFUL). 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.
| BBB | MFUL | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.19 | ||
| Sortino ratioReturn per unit of downside risk | -1.52 | ||
| Omega ratioGain probability vs. loss probability | 1.01 | 1.22 | -0.21 |
| Calmar ratioReturn relative to maximum drawdown | -0.04 | 1.46 | -1.49 |
| Martin ratioReturn relative to average drawdown | -0.09 | 5.40 | -5.49 |
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Drawdowns
BBB vs. MFUL - Drawdown Comparison
The maximum BBB drawdown since its inception was -21.98%, which is greater than MFUL's maximum drawdown of -16.41%. Use the drawdown chart below to compare losses from any high point for BBB and MFUL.
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Drawdown Indicators
| BBB | MFUL | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -21.98% | -16.41% | -5.57% |
Max Drawdown (1Y)Largest decline over 1 year | -17.74% | -3.36% | -14.38% |
Max Drawdown (3Y)Largest decline over 3 years | — | -4.74% | — |
Current DrawdownCurrent decline from peak | -7.56% | -1.18% | -6.38% |
Average DrawdownAverage peak-to-trough decline | -4.56% | -9.30% | +4.74% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 7.41% | 0.90% | +6.51% |
Volatility
BBB vs. MFUL - Volatility Comparison
CYBER HORNET S&P 500 and Bitcoin 75/25 Strategy ETF (BBB) has a higher volatility of 4.99% compared to Mindful Conservative ETF (MFUL) at 1.45%. This indicates that BBB's price experiences larger fluctuations and is considered to be riskier than MFUL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| BBB | MFUL | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 4.99% | 1.45% | +3.54% |
Volatility (6M)Calculated over the trailing 6-month period | 13.88% | 3.61% | +10.27% |
Volatility (1Y)Calculated over the trailing 1-year period | 18.00% | 4.26% | +13.74% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 21.89% | 4.28% | +17.61% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 21.89% | 4.28% | +17.61% |
BBB vs. MFUL - Expense Ratio Comparison
BBB has a 0.98% expense ratio, which is lower than MFUL's 1.10% expense ratio.
Dividends
BBB vs. MFUL - Dividend Comparison
BBB's dividend yield for the trailing twelve months is around 0.16%, less than MFUL's 2.42% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
BBB CYBER HORNET S&P 500 and Bitcoin 75/25 Strategy ETF | 0.16% | 0.21% | 6.74% | 0.00% | 0.00% |
MFUL Mindful Conservative ETF | 2.42% | 3.31% | 2.59% | 5.00% | 0.29% |
Frequently Asked Questions
BBB and MFUL have a correlation of 0.73, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
BBB has higher volatility (4.99%) compared to MFUL (1.45%). In terms of maximum drawdown, BBB dropped -21.98% vs MFUL's -16.41%.
On 1-year performance, MFUL leads with 4.88% vs -0.63% for BBB. On fees, BBB is cheaper at 0.98% per year. On volatility, MFUL has been the lower-risk option at 1.45%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, MFUL has performed better with a 4.88% return vs -0.63%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BBB is cheaper with a 0.98% expense ratio, compared with 1.10% for MFUL.
MFUL has the higher dividend yield at 2.42%, compared with 0.16% for BBB.
They also come from different issuers: CYBER HORNET and Mohr Funds. Their fees differ too: 0.98% for BBB and 1.10% for MFUL.
MFUL currently has the higher Sharpe Ratio (1.15 vs -0.04), 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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