MSTZ vs. MUD
MSTZ (T-REX 2X Inverse MSTR Daily Target ETF) and MUD (Direxion Daily MU Bear 1X Shares) are both Inverse Equities funds. Both are actively managed. Over the past year, MSTZ returned 119.74% vs -93.60% for MUD. At a 0.30 correlation, their price movements are largely independent. MSTZ charges 1.05%/yr vs 0.97%/yr for MUD.
Performance
MSTZ vs. MUD - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, MSTZ achieves a -35.10% return, which is significantly higher than MUD's -83.10% return.
MSTZ
- 1D
- 5.10%
- 1M
- 83.66%
- YTD
- -35.10%
- 6M
- -24.64%
- 1Y
- 119.74%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MUD
- 1D
- -6.93%
- 1M
- -44.97%
- YTD
- -83.10%
- 6M
- -83.63%
- 1Y
- -93.60%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MSTZ vs. MUD - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
MSTZ T-REX 2X Inverse MSTR Daily Target ETF | -35.10% | -38.95% | -86.93% |
MUD Direxion Daily MU Bear 1X Shares | -83.10% | -78.75% | 19.12% |
Correlation
The correlation between MSTZ and MUD is 0.26, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.26 |
Correlation (All Time) Calculated using the full available price history since Oct 10, 2024 | 0.30 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
MSTZ vs. MUD — Risk / Return Rank
MSTZ
MUD
MSTZ vs. MUD - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for T-REX 2X Inverse MSTR Daily Target ETF (MSTZ) and Direxion Daily MU Bear 1X Shares (MUD). 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.
| MSTZ | MUD | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +2.16 | ||
| Sortino ratioReturn per unit of downside risk | +5.95 | ||
| Omega ratioGain probability vs. loss probability | 1.24 | 0.56 | +0.68 |
| Calmar ratioReturn relative to maximum drawdown | 1.42 | -0.99 | +2.41 |
| Martin ratioReturn relative to average drawdown | 2.81 | -1.46 | +4.27 |
Loading charts...
Drawdowns
MSTZ vs. MUD - Drawdown Comparison
The maximum MSTZ drawdown since its inception was -99.38%, roughly equal to the maximum MUD drawdown of -96.89%. Use the drawdown chart below to compare losses from any high point for MSTZ and MUD.
Loading charts...
Drawdown Indicators
| MSTZ | MUD | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -99.38% | -96.89% | -2.49% |
Max Drawdown (1Y)Largest decline over 1 year | -84.89% | -94.52% | +9.63% |
Current DrawdownCurrent decline from peak | -97.79% | -96.89% | -0.90% |
Average DrawdownAverage peak-to-trough decline | -94.44% | -51.50% | -42.94% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 42.73% | 64.02% | -21.29% |
Volatility
MSTZ vs. MUD - Volatility Comparison
T-REX 2X Inverse MSTR Daily Target ETF (MSTZ) has a higher volatility of 41.90% compared to Direxion Daily MU Bear 1X Shares (MUD) at 35.25%. This indicates that MSTZ's price experiences larger fluctuations and is considered to be riskier than MUD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| MSTZ | MUD | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 41.90% | 35.25% | +6.65% |
Volatility (6M)Calculated over the trailing 6-month period | 127.30% | 61.23% | +66.07% |
Volatility (1Y)Calculated over the trailing 1-year period | 143.69% | 71.36% | +72.33% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 169.83% | 69.34% | +100.49% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 169.83% | 69.34% | +100.49% |
MSTZ vs. MUD - Expense Ratio Comparison
MSTZ has a 1.05% expense ratio, which is higher than MUD's 0.97% expense ratio.
Dividends
MSTZ vs. MUD - Dividend Comparison
MSTZ has not paid dividends to shareholders, while MUD's dividend yield for the trailing twelve months is around 34.86%.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
MSTZ T-REX 2X Inverse MSTR Daily Target ETF | 0.00% | 0.00% | 0.00% |
MUD Direxion Daily MU Bear 1X Shares | 34.86% | 9.21% | 0.47% |
Frequently Asked Questions
MSTZ and MUD have a correlation of 0.26, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
MSTZ has higher volatility (41.90%) compared to MUD (35.25%). In terms of maximum drawdown, MSTZ dropped -99.38% vs MUD's -96.89%.
On 1-year performance, MSTZ leads with 119.74% vs -93.60% for MUD. On fees, MUD is cheaper at 0.97% per year. On volatility, MUD has been the lower-risk option at 35.25%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, MSTZ has performed better with a 119.74% return vs -93.60%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
MUD is cheaper with a 0.97% expense ratio, compared with 1.05% for MSTZ.
MUD has the higher dividend yield at 34.86%, compared with 0.00% for MSTZ.
They also come from different issuers: REX and Direxion. Their fees differ too: 1.05% for MSTZ and 0.97% for MUD.
MSTZ currently has the higher Sharpe Ratio (0.84 vs -1.32), 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.
Find the right allocation for MSTZ and MUD
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer