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Issuer
Max
Inception Date
Jun 20, 2023
Region
North America (U.S.)
Leveraged
1x (No leverage)
Index Tracked
Prime Airlines Index - Benchmark TR Net (--300%)
Distribution Policy
Accumulating
Asset Class
Equity
Assets Under Management
$5M

Share Price Chart


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Performance

JETD Performance Chart

MAX Airlines -3X Inverse Leveraged ETN (JETD) is down 48.2% since the beginning of the year. JETD is currently trading at $3 per share.


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S&P 500 Index

Returns By Period

MAX Airlines -3X Inverse Leveraged ETN (JETD) has returned -48.24% so far this year and -75.71% over the past 12 months.


MAX Airlines -3X Inverse Leveraged ETN

1D
-1.50%
1M
-29.97%
YTD
-48.24%
6M
-44.81%
1Y
-75.71%
3Y*
-54.06%
5Y*
10Y*

Benchmark (S&P 500 Index)

1D
-0.37%
1M
-0.01%
YTD
9.16%
6M
8.64%
1Y
25.22%
3Y*
19.78%
5Y*
11.99%
10Y*
13.88%
*Multi-year figures are annualized to reflect compound growth (CAGR)

JETD Monthly Returns History

Based on dividend-adjusted daily data since Jun 21, 2023, JETD's average daily return is -0.20%, while the average monthly return is -4.61%.

Historically, 30% of months were positive and 70% were negative. The best month was Mar 2026 with a return of +39.4%, while the worst month was May 2025 at -31.5%. The longest winning streak lasted 4 consecutive months, and the longest losing streak was 6 months.

On a daily basis, JETD closed higher 48% of trading days. The best single day was Apr 3, 2025 with a return of +26.5%, while the worst single day was Apr 9, 2025 at -43.6%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-11.10%-16.33%39.44%-14.77%-31.38%-14.68%-48.24%
2025-8.34%10.19%33.19%-12.61%-31.47%-7.23%-9.66%-18.45%11.88%-8.57%-11.90%-19.17%-59.89%
20248.58%-15.50%-11.67%10.21%-5.20%-0.88%0.46%-1.68%-14.44%-12.54%-20.99%-1.48%-51.72%
2023-13.79%0.68%19.82%34.62%22.00%-28.71%-19.13%-1.53%

Benchmark Metrics

MAX Airlines -3X Inverse Leveraged ETN has an annualized alpha of 16.37%, beta of -3.47, and R2 of 0.53 versus S&P 500 Index. Calculated based on daily prices since June 21, 2023.

  • This ETF tended to rise when S&P 500 Index fell (downside capture of -321.71%), but participation in market rallies was also limited (-144.63%) - a profile typical of counter-cyclical assets.
  • This ETF generated an annualized alpha of 16.37% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • Beta of -3.47 indicates this ETF moves significantly less than S&P 500 Index - a genuinely defensive profile with reduced participation in both market rallies and downturns.

Alpha
16.37%
Beta
-3.47
0.53
Upside Capture
-144.63%
Downside Capture
-321.71%

Expense Ratio

JETD has a high expense ratio of 0.95%, indicating above-average management fees.


Return for Risk

Risk / Return Rank

JETD ranks 1 for risk / return — in the bottom 1% of ETFs on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.


JETD Risk / Return Rank: 11
Overall Rank
JETD Sharpe Ratio Rank: 11
Sharpe Ratio Rank
JETD Sortino Ratio Rank: 11
Sortino Ratio Rank
JETD Omega Ratio Rank: 11
Omega Ratio Rank
JETD Calmar Ratio Rank: 00
Calmar Ratio Rank
JETD Martin Ratio Rank: 11
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below present risk-adjusted performance metrics for MAX Airlines -3X Inverse Leveraged ETN (JETD) and compare them to S&P 500 Index.

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.


JETDBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

-3.03

Sortino ratioReturn per unit of downside risk

-4.62

Omega ratioGain probability vs. loss probability

0.78

1.37

-0.59

Calmar ratioReturn relative to maximum drawdown

-1.02

2.78

-3.80

Martin ratioReturn relative to average drawdown

-1.61

12.44

-14.05

Dividends

Dividend History


MAX Airlines -3X Inverse Leveraged ETN doesn't pay dividends

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the MAX Airlines -3X Inverse Leveraged ETN. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the MAX Airlines -3X Inverse Leveraged ETN was 94.62%, occurring on Jun 22, 2026. The portfolio has not yet recovered.

The current MAX Airlines -3X Inverse Leveraged ETN drawdown is 94.62%.


Related event

Drawdown

Fall

Recovery

Underwater

2026 bear market2026
-94.62%Jun 2026
2y 7mo
2y 7moOct 2023 - now
2023 bear market2023
-21.84%Jul 2023
15d1mo 7d
1mo 22dJun 2023 - Aug 2023
2023 pullback2023
-6.74%Oct 2023
7d2d
9dOct 2023 - Oct 2023
2023 pullback2023
-6.69%Aug 2023
4d7d
11dAug 2023 - Sep 2023
2023 pullback2023
-4.11%Oct 2023
1d1d
2dOct 2023 - Oct 2023

Drawdown Indicators


JETDBenchmarkDifference

Max Drawdown

Largest peak-to-trough decline

-94.62%

-56.78%

-37.84%

Max Drawdown (1Y)

Largest decline over 1 year

-74.71%

-9.10%

-65.61%

Max Drawdown (3Y)

Largest decline over 3 years

-94.62%

-18.90%

-75.72%

Max Drawdown (5Y)

Largest decline over 5 years

-25.43%

Max Drawdown (10Y)

Largest decline over 10 years

-33.92%

Current Drawdown

Current decline from peak

-94.62%

-1.80%

-92.82%

Average Drawdown

Average peak-to-trough decline

-61.79%

-10.71%

-51.08%

Ulcer Index

Depth and duration of drawdowns from previous peaks

48.75%

2.03%

+46.72%

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Portfolio Analyzer

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Add MAX Airlines -3X Inverse Leveraged ETN to a portfolio and analyze allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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