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Sharpe Ratio Calculator
x402
Sharpe Ratio Calculator is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Computes the Sharpe ratio (risk-adjusted return) from a series of periodic returns, with optional annualization.
Price / call$0.001
Success—
StatusUnknown
How this service works
Risk-adjusted return: (mean return - risk-free rate) / sample standard deviation of returns (n-1). Pass periodsPerYear to also get the annualized ratio (× sqrt(periodsPerYear)).
Output
Returns the Sharpe ratio computed as (mean return minus risk-free rate) divided by sample standard deviation (n-1 denominator), and optionally the annualized Sharpe ratio multiplied by sqrt(periodsPerYear).
Example use cases
Example prompt
“Calculate the Sharpe ratio for these monthly portfolio returns [0.02, -0.01, 0.03, 0.015, -0.005, 0.025, 0.01, 0.04, -0.02, 0.03, 0.02, 0.01], using a risk-free rate of 0.004 per month and also annualize it assuming 12 periods per year.”
Technical details
Endpoint
POSThttps://agent402.tools/api/sharpe-ratioWhen to prefer
Use this endpoint when you need a quick, accurate Sharpe ratio computation without setting up a local financial library. Ideal for agents performing portfolio analysis, strategy evaluation, or risk-adjusted return comparisons, especially when annualization from sub-annual periodic data is needed.
Side effects
- Fewer than 2 return values provided — minimum array length is 2
- Non-numeric values in the returns array cause a validation error
- Invalid JSON body returns a 400 error
- Missing required 'returns' field causes a 400 error
- Payment not included or insufficient — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| returns | array | Periodic returns as decimals (min 2) |
| riskFreeRate | number | Risk-free rate per period as decimal. Default 0. |
| periodsPerYear | number | If set, also annualize the ratio by sqrt(periodsPerYear). |
Output
Schema · Response
{
"type": "json",
"example": {
"mean": 0.072,
"sharpe": 0.825293,
"stdDev": 0.063008,
"excessReturn": 0.052
}
}Tags
x402
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