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MSDD's Sortino Ratio of 1.66 indicates that for each unit of downside volatility, it generates 1.66 units of excess return. The ratio is calculated using historical daily returns over the past 12 months (as of Jul 12, 2026).

Unlike other measures, Sortino only focuses on downside volatility (losses), making it particularly useful for investors more concerned about protecting against drawdowns than overall price swings.

MSDD Sortino Ratio Market Positioning

The chart shows MSDD's Sortino Ratio relative to all ETFs on our platform, with color zones indicating percentile rankings. Higher ratios indicate better downside-adjusted returns.


  • Red zone (bottom 25%): 1.16 or lower
  • Yellow zone (middle 50%): 1.16 to 2.68
  • Green zone (top 25%): 2.68 or higher
  • Top 1%: 13.99+
  • Median: 2.00 — half of all investments score higher

How it compares to other similar ETFs

The table compares GraniteShares 2x Short MSTR Daily ETF's Sortino Ratio with other ETFs in the Inverse Equities category across multiple time periods, showing how MSDD's risk-adjusted performance compares to similar funds.

Data shows 1-, 5-, and 10-year periods, plus each fund's all-time average, as of Jul 12, 2026.


SymbolName1Y Sortino Ratio5Y Sortino Ratio10Y Sortino RatioAll Time Sortino Ratio
NFXSDirexion Daily NFLX Bear 1X Shares2.40
MSTZT-REX 2X Inverse MSTR Daily Target ETF2.34
SMSTDefiance Daily Target 2X Short MSTR ETF2.22
MSFDDirexion Daily MSFT Bear 1X Shares1.60
FIATYieldMax Short COIN Option Income Strategy ETF1.55
SVIX-1x Short VIX Futures ETF1.43
CONIGraniteShares 2x Short COIN Daily ETF1.31
YXIProShares Short FTSE China 500.77
BRKDDirexion Daily BRKB Bear 1X Shares0.45
EMTYProShares Decline of the Retail Store ETF0.39
MSDDGraniteShares 2x Short MSTR Daily ETF

S&P 500 Index

How to choose period

Historical Sortino Ratio

The chart shows MSDD's rolling Sortino ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to downside risk, while declining trends may signal deteriorating risk-adjusted performance or increased volatility during market stress. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.

Identify market cycles by observing when MSDD consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.


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