FAI vs. MSTZ
FAI (First Trust Bloomberg Artificial Intelligence ETF) and MSTZ (T-REX 2X Inverse MSTR Daily Target ETF) are both exchange-traded funds - FAI is a Technology Equities fund tracking the Bloomberg Artificial Intelligence Index, while MSTZ is a Inverse Equities fund actively managed by REX. FAI is passively managed, while MSTZ is actively managed. Over the past year, FAI returned 49.94% vs 264.10% for MSTZ. At a correlation of -0.49, they often move in opposite directions. FAI charges 0.65%/yr vs 1.05%/yr for MSTZ.
Performance
FAI vs. MSTZ - Performance Comparison
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Returns By Period
In the year-to-date period, FAI achieves a 28.90% return, which is significantly higher than MSTZ's -26.97% return.
FAI
- 1D
- -0.41%
- 1M
- 0.70%
- 6M
- 25.51%
- YTD
- 28.90%
- 1Y
- 49.94%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MSTZ
- 1D
- -1.53%
- 1M
- 39.32%
- 6M
- -19.19%
- YTD
- -26.97%
- 1Y
- 264.10%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FAI vs. MSTZ - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
FAI First Trust Bloomberg Artificial Intelligence ETF | 28.90% | 33.37% | 2.28% |
MSTZ T-REX 2X Inverse MSTR Daily Target ETF | -26.97% | -38.95% | 72.80% |
Correlation
The correlation between FAI and MSTZ is -0.46, 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 | -0.46 |
Correlation (All Time) Calculated using the full available price history since Nov 21, 2024 | -0.49 |
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Return for Risk
FAI vs. MSTZ — Risk / Return Rank
FAI
MSTZ
FAI vs. MSTZ - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for First Trust Bloomberg Artificial Intelligence ETF (FAI) and T-REX 2X Inverse MSTR Daily Target ETF (MSTZ). 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.
| FAI | MSTZ | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.14 | ||
| Sortino ratioReturn per unit of downside risk | -0.07 | ||
| Omega ratioGain probability vs. loss probability | 1.30 | 1.30 | 0.00 |
| Calmar ratioReturn relative to maximum drawdown | 2.64 | 2.86 | -0.23 |
| Martin ratioReturn relative to average drawdown | 7.77 | 5.59 | +2.18 |
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Drawdowns
FAI vs. MSTZ - Drawdown Comparison
The maximum FAI drawdown since its inception was -27.82%, smaller than the maximum MSTZ drawdown of -99.38%. Use the drawdown chart below to compare losses from any high point for FAI and MSTZ.
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Drawdown Indicators
| FAI | MSTZ | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -27.82% | -99.38% | +71.56% |
Max Drawdown (1Y)Largest decline over 1 year | -18.84% | -84.89% | +66.05% |
Current DrawdownCurrent decline from peak | -8.44% | -97.51% | +89.07% |
Average DrawdownAverage peak-to-trough decline | -5.48% | -94.53% | +89.05% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 6.38% | 43.41% | -37.03% |
Volatility
FAI vs. MSTZ - Volatility Comparison
The current volatility for First Trust Bloomberg Artificial Intelligence ETF (FAI) is 11.84%, while T-REX 2X Inverse MSTR Daily Target ETF (MSTZ) has a volatility of 56.46%. This indicates that FAI experiences smaller price fluctuations and is considered to be less risky than MSTZ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FAI | MSTZ | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 11.84% | 56.46% | -44.62% |
Volatility (6M)Calculated over the trailing 6-month period | 23.56% | 135.20% | -111.64% |
Volatility (1Y)Calculated over the trailing 1-year period | 27.99% | 148.41% | -120.42% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 31.12% | 171.17% | -140.05% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 31.12% | 171.17% | -140.05% |
FAI vs. MSTZ - Expense Ratio Comparison
FAI has a 0.65% expense ratio, which is lower than MSTZ's 1.05% expense ratio.
Dividends
FAI vs. MSTZ - Dividend Comparison
Neither FAI nor MSTZ has paid dividends to shareholders.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
FAI First Trust Bloomberg Artificial Intelligence ETF | 0.00% | 0.00% | 0.04% |
MSTZ T-REX 2X Inverse MSTR Daily Target ETF | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
FAI and MSTZ have a correlation of -0.46, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
MSTZ has higher volatility (56.46%) compared to FAI (11.84%). In terms of maximum drawdown, FAI dropped -27.82% vs MSTZ's -99.38%.
On 1-year performance, MSTZ leads with 264.10% vs 49.94% for FAI. On fees, FAI is cheaper at 0.65% per year. On volatility, FAI has been the lower-risk option at 11.84%. 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 264.10% return vs 49.94%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FAI is cheaper with a 0.65% expense ratio, compared with 1.05% for MSTZ.
FAI and MSTZ have nearly identical dividend yields, around 0.00%.
FAI is categorized as Technology Equities, while MSTZ is Inverse Equities. They also come from different issuers: First Trust and REX. Their fees differ too: 0.65% for FAI and 1.05% for MSTZ.
FAI currently has the higher Sharpe Ratio (1.77 vs 1.64), 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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