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QuantOracle Backtest Strategy
x402
QuantOracle Backtest Strategy is a paid API for AI agents from api.quantoracle.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Runs a quantitative backtesting simulation on a given trading strategy against historical data and returns performance metrics
Price / call$0.1
Success—
StatusUnknown
How this service works
QuantOracle: backtest/strategy
Output
Returns historical backtest performance metrics for the submitted strategy, including total return, annualized return, maximum drawdown, win rate, and possibly an equity curve or trade-by-trade breakdown over the specified historical period.
Example use cases
Example prompt
“Backtest a simple 50/200-day moving average crossover strategy on BTC/USD using daily data from January 2020 through December 2023, and give me the total return, max drawdown, and Sharpe ratio.”
Technical details
Endpoint
POSThttps://api.quantoracle.dev/v1/backtest/strategyWhen to prefer
Choose this endpoint when you need to evaluate the historical performance of a defined algorithmic trading strategy before deploying it live. It is best suited for quantitative traders and AI agents that need to validate strategy viability, measure risk-adjusted returns, or compare strategy variants using backtesting — rather than live signal generation or portfolio management.
Side effects
- Invalid strategy definition or unsupported strategy type returns 400 error
- Asset symbol not found or unsupported in historical database returns 404
- Date range out of bounds or insufficient historical data returns 422
- Malformed request body missing required strategy parameters returns 400
- Service timeout for very large date ranges or complex strategies
- Payment not processed or insufficient balance returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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