Shiba Inu (SHIB-USD) Sharpe Ratio: -0.72
SHIB-USD's Sharpe Ratio of -0.72 indicates that for each unit of volatility, it generates -0.72 units of excess return above the risk-free rate. The ratio is calculated using historical daily returns over the past 12 months (as of Apr 2, 2026).
Sharpe uses total volatility (standard deviation) which includes both upside and downside price movements, making it useful for comparing risk-adjusted returns across different assets.
SHIB-USD Sharpe Ratio Rank
SHIB-USD ranks above 30.4% of all investments in our database based on Sharpe Ratio over the past 12 months, indicating below-average returns relative to volatility. Securities are ranked from 0 (worst) to 100 (best).
What moves the rank
- Strong returns with low total volatility → Higher rank
- High volatility (both upside and downside) → Lower rank
- Consistent returns → Higher rank than volatile returns of same magnitude
- Sharp drawdowns increase volatility → Lower rank
What you can do with this information
- Returns may not adequately compensate for volatility taken
- Consider smaller allocation given below-average risk-adjusted profile
- Explore higher-ranked investments with better consistency
- Assess whether the volatility profile aligns with your portfolio goals
SHIB-USD Sharpe Ratio Market Positioning
The chart shows SHIB-USD's Sharpe Ratio relative to all cryptocurrencies on our platform, with color zones indicating percentile rankings. Higher ratios indicate better risk-adjusted returns.
- Red zone (bottom 25%): -0.77 or lower
- Yellow zone (middle 50%): -0.77 to -0.13
- Green zone (top 25%): -0.13 or higher
- Top 1%: 2.47+
- Median: -0.55 — half of all investments score higher
How it compares to other similar cryptocurrencies
The table compares SHIB-USD's Sharpe Ratio with other major cryptocurrencies by market capitalization across multiple time periods.
Data shows 1-, 3-, and 5-year periods, plus each cryptocurrency's all-time average, as of Apr 2, 2026.
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Explore SHIB-USD risk-adjusted metrics in detail
Dive deeper into individual metrics with historical trends, benchmark comparisons, and performance across different time periods.