Carbon Cashmere Signal Backtest API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Runs strategy backtesting on 30-90 days of historical crypto data for a specified asset, returning full trade list, win rate, Sharpe ratio, max drawdown, profit factor, and statistical significance p-value.
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Returns a full backtest report for the specified crypto asset including: a per-trade list (date, direction, entry/exit prices, PnL%, confidence, regime, correctness), monthly aggregates (trades, win rate, gross/net PnL%), and a summary object with wins, losses, total PnL, Sharpe ratio, max drawdown %, profit factor, p-value, statistical significance flag, and cost breakdown (fees, slippage, roundtrip).
GEThttps://api.carbon-cashmere.de/v1/signal-backtest/BTCUse this endpoint when you need a rigorous, statistically grounded backtest for one of 34 supported crypto assets using either the multi-factor analyst_v3 strategy or the contrarian funding_monitor strategy. Ideal for quantitative trading research, strategy validation, or comparing signal quality across lookback windows. Prefer this over generic backtesting tools when you need built-in cost accounting (fees + slippage), confidence scoring, regime labeling, and a p-value for significance testing.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"days": 30,
"strategy": "analyst_v3"
}
}
}{
"coin": "BTC",
"days": 30,
"period": {
"end": "2026-04-09",
"start": "2026-03-14"
},
"trades": [
{
"date": "2026-03-14",
"regime": "unknown",
"correct": true,
"pnl_pct": 1.95,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 72815.24,
"entry_price": 71211.95,
"gross_correct": true,
"gross_pnl_pct": 2.25
},
{
"date": "2026-03-15",
"regime": "unknown",
"correct": true,
"pnl_pct": 2.54,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 74884.67,
"entry_price": 72815.24,
"gross_correct": true,
"gross_pnl_pct": 2.84
},
{
"date": "2026-03-16",
"regime": "unknown",
"correct": false,
"pnl_pct": -1.6,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 73909.36,
"entry_price": 74884.67,
"gross_correct": false,
"gross_pnl_pct": -1.3
},
{
"date": "2026-03-17",
"regime": "unknown",
"correct": false,
"pnl_pct": -3.9,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 71246.54,
"entry_price": 73909.36,
"gross_correct": false,
"gross_pnl_pct": -3.6
},
{
"date": "2026-04-07",
"regime": "unknown",
"correct": false,
"pnl_pct": -1.49,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 71069.93,
"entry_price": 71924.22,
"gross_correct": false,
"gross_pnl_pct": -1.19
},
{
"date": "2026-04-09",
"regime": "unknown",
"correct": true,
"pnl_pct": 1.34,
"direction": "bullish",
"confidence": 0.62,
"exit_price": 72962.7,
"entry_price": 71787.97,
"gross_correct": true,
"gross_pnl_pct": 1.64
}
],
"monthly": [
{
"month": "2026-03",
"trades": 4,
"pnl_pct": -1.01,
"win_rate": 50,
"gross_pnl_pct": 0.19
},
{
"month": "2026-04",
"trades": 2,
"pnl_pct": -0.15,
"win_rate": 50,
"gross_pnl_pct": 0.45
}
],
"summary": {
"wins": 3,
"costs": {
"fee_pct": 0.1,
"slippage_pct": 0.05,
"roundtrip_pct": 0.3,
"total_cost_pct": 1.8
},
"gross": {
"wins": 3,
"win_rate": 50,
"total_pnl_pct": 0.64
},
"losses": 3,
"p_value": null,
"win_rate": 50,
"avg_pnl_pct": -0.19,
"sharpe_ratio": null,
"total_trades": 6,
"profit_factor": 0.83,
"total_pnl_pct": -1.16,
"max_drawdown_pct": -6.99,
"statistically_significant": null
},
"strategy": "analyst_v3",
"updated_at": "2026-04-17T21:04:24.988910+00:00",
"x402_price": "$0.50",
"confidence_breakdown": [
{
"range": "0.60-0.70",
"trades": 6,
"win_rate": 50
}
]
}{
"type": "json",
"example": {
"coin": "BTC",
"days": 30,
"summary": {
"win_rate": 64.3,
"sharpe_ratio": 1.35,
"total_trades": 28,
"profit_factor": 1.82
},
"strategy": "analyst_v3"
}
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