Sharpe Ratio Explained
The most widely used measure of risk-adjusted return
where Rp is portfolio return, Rf is the risk-free rate, and σp is the standard deviation of portfolio returns.
What is the Sharpe Ratio?
The Sharpe Ratio measures how much excess return you earn per unit of total risk (volatility). It was developed by Nobel laureate William F. Sharpe and remains the standard benchmark for evaluating whether a portfolio's returns justify the risk taken to achieve them. A higher Sharpe Ratio means you're being compensated better for the volatility you're absorbing.
How to interpret it
A Sharpe Ratio above 1.0 is generally considered good — you're earning more than one unit of return for each unit of risk. Below 0 means the portfolio is underperforming the risk-free rate. Most retail portfolios fall between 0.3 and 1.2 over a full market cycle. The ratio is most meaningful when compared to a benchmark or peer group rather than viewed in isolation.
What counts as a good Sharpe?
What affects your Sharpe?
- Asset allocation — highly volatile assets drag the ratio down
- Diversification — uncorrelated holdings reduce σp without reducing return
- Market regime — the ratio fluctuates significantly across bull and bear markets
- Time horizon — shorter windows produce noisier, less reliable readings
- Risk-free rate — rising interest rates reduce the numerator
Portivex calculates your Sharpe Ratio using daily portfolio returns over your full holding history, benchmarked against the current 3-month gilt yield as the risk-free rate. The confidence tier (Low / Medium / High) reflects how many trading days of data your ratio is based on — readings under 60 days are flagged as Limited. Your investor profile (Conservative / Balanced / Growth) adjusts what counts as a 'Good' Sharpe so the signal is relevant to your actual strategy.
See my Sharpe →Frequently asked questions
What is a good Sharpe Ratio for a retail investor?
Why does my Sharpe Ratio look different on different platforms?
Can the Sharpe Ratio be negative?
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