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Carbon Cashmere Signal Backtest
x402
Carbon Cashmere Signal Backtest is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).
Runs historical backtests on 30-90 days of crypto data using analyst_v3 or funding_monitor strategies, returning full trade lists and performance metrics.
Price / call$0.5
Success—
StatusUnknown
How this service works
Run strategy backtesting on 30-90 days of historical crypto data — two strategies: analyst_v3 (multi-factor signal fusion) and funding_monitor (contrarian funding rate). Returns full trade list, win rate, Sharpe ratio, max drawdown, profit factor, and p-value for statistical significance. Covers 34 crypto assets. AI agent API for strategy validation, backtesting-as-a-service, and quantitative trading research.
Output
Returns a full trade list and summary performance metrics including win rate, Sharpe ratio, max drawdown, profit factor, and p-value for the specified coin, strategy, and lookback period.
Example use cases
Funding rate contrarian Bitcoin check
“How did the funding_monitor strategy perform on Bitcoin over the last 60 days? Give me the win rate, Sharpe ratio, and profit factor so I can decide if it's worth trading.”
Validate ML signal on Solana
“Run a 90-day backtest on SOL using the analyst_v3 strategy and tell me if the results are statistically significant — I want to see the p-value and max drawdown before I risk any capital.”
Compare strategy drawdown across assets
“I'm evaluating analyst_v3 on both AVAX and BNB over a 30-day window. Can you pull the max drawdown and profit factor for both so I can see which coin has the cleaner signal?”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/signal-backtest/:var1When to prefer
Use this endpoint when you need to validate a crypto trading strategy's historical performance with statistical rigor — specifically the analyst_v3 multi-factor ML signal or funding_monitor contrarian strategy — across any of 34 supported coins over 30, 60, or 90 day windows, and you want standardized metrics like Sharpe ratio and p-value rather than raw price data.
Side effects
- Unsupported coin ticker returns error — only 34 specific assets supported
- Invalid days value (must be 30, 60, or 90) returns validation error
- Unknown strategy name causes rejection — only analyst_v3, funding_monitor, or all accepted
- Payment required error (x402) if USDC payment not included
- Sparse historical data for low-liquidity coins may produce unreliable metrics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| coinrequired | string |
Tags
x402
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