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P&L Stats Calculator
x402
P&L Stats Calculator is a paid API for AI agents from api.edifiedlab.com, paid per call via x402, $0.011/call, status unknown (last checked 2026-10-01).
Computes trade P&L statistics (win rate, profit factor, max drawdown, rolling-window stats) from a caller-supplied array of realized P&L values
Price / call$0.011
Success—
StatusUnknown
How this service works
Compute trade P&L statistics from caller-supplied realized P&L values: win rate, profit factor, max drawdown, and rolling-window statistics. No market data or account access -- purely a function of the numbers supplied.
Output
Returns computed statistics over the supplied P&L array including win rate (fraction of positive trades), profit factor (gross profit divided by gross loss), maximum drawdown (largest peak-to-trough loss), and rolling-window versions of these metrics calculated across a sliding window of the specified size.
Example use cases
Backtested strategy performance review
“I ran a backtest and have 200 trade P&L values. Can you compute the win rate, profit factor, and max drawdown for me using a 30-trade rolling window?”
Live trading journal analytics
“Here are my realized P&Ls from last month's trades: [45, -20, 30, -15, 60, -10, 25]. What's my win rate and profit factor, and show me rolling stats with a window of 5?”
Comparing two strategy variants
“I have two sets of trade P&Ls — strategy A has 100 values and strategy B has 100 values. Can you calculate max drawdown and profit factor for strategy A first, using a 20-trade rolling window?”
Technical details
Endpoint
POSThttps://api.edifiedlab.com/v1/market/pnl-stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-computed array of realized trade P&L values and need standard performance statistics (win rate, profit factor, max drawdown, rolling metrics) without any market data access or brokerage integration. It is a pure computation service — ideal for backtesting pipelines, trade journal analytics, and strategy comparison workflows where the P&L data is already available locally.
Side effects
- Empty or missing pnls array returns a validation error
- Array length exceeding 5000 items is rejected
- Non-numeric values in the pnls array cause a schema validation failure
- Rolling window larger than the number of supplied P&L values may produce empty or undefined rolling statistics
- All-zero P&L array may produce undefined profit factor (division by zero)
- All-winning trades produce a profit factor of infinity or undefined gross-loss scenario
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pnls | array | |
| rolling_window | integer |
Tags
x402
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