FreshRSS 
The Sharpe Ratio is a classic financial metric used to measure the performance of an investment adjusted for risk. It was developed by economist William F. Sharpe and is defined as the difference between an asset’s return and the “risk-free” return, divided by the volatility of returns.
Mathematically:
Sharpe Ratio = (Asset Return − Risk-Free Rate) / Standard Deviation of Returns
The result tells us how much excess return an investor is receiving for each unit of risk taken. A higher ratio indicates that the asset is delivering better risk-adjusted performance.
How does this apply to Bitcoin?
Bitcoin is well known for its high volatility, with sharp price increases and decreases over short periods of time. Because of this, looking at raw returns alone can be misleading. The Sharpe Ratio helps put Bitcoin’s performance into context by showing whether its returns adequately compensate for the risk taken.
For example, if Bitcoin delivers a 40% annual return but with very high volatility, the Sharpe Ratio helps determine whether that return is attractive when compared to other assets or even to a theoretical “risk-free” investment.
Sortino Ratio: Focusing on Downside Risk
While the Sharpe Ratio penalizes all volatility equally—both upside and downside—this does not always reflect how investors perceive risk. This is where the Sortino Ratio comes in.
The Sortino Ratio is a variation of the Sharpe Ratio that considers only negative volatility, meaning downside movements in price, while ignoring upside volatility, which is generally welcomed by investors.
Its formula is:
Sortino Ratio = (Asset Return − Target Return) / Downside Deviation
The “downside deviation” measures only the dispersion of returns below a desired or minimum acceptable threshold.
Application to Bitcoin
Given Bitcoin’s tendency for large upward price movements, the Sortino Ratio can provide a more realistic view of actual risk: how much return is being generated relative to only the negative volatility.
In other words, for assets with strong upside potential like Bitcoin, a metric that does not penalize positive volatility can often be more informative than the traditional Sharpe Ratio.
New Indicators in the BGeometrics API
We are pleased to announce that we have added both the Sharpe Ratio and the Sortino Ratio to the Bitcoin API of BGeometrics.
Bitcoin API:
https://charts.bgeometrics.com/bitcoin_api.html
Bitcoin API documentation:
https://bitcoin-data.com/api/redoc.html
These indicators make it easier to understand not only how much Bitcoin has returned, but also how efficient those returns have been when adjusted for total volatility or downside risk only—a key aspect for quantitative analysis, risk management, and the development of robust investment strategies.
Conclusion
- The Sharpe Ratio helps you understand how much excess return Bitcoin generates per unit of total risk assumed.
- The Sortino Ratio refines this view by focusing specifically on downside risk, ignoring positive volatility that investors typically do not consider harmful.
- You can now access both indicators directly through the BGeometrics Bitcoin API and integrate advanced risk metrics into your tools, models, or financial applications.
New Bitcoin Derivatives Endpoints
New Cryptocurrencies Available
Historical Data for Major Companies and Traditional Assets
Check out the full documentation and start integrating these datasets into your research: