Trading Strategy Data – Crypto Composite Signal is a paid API for AI agents from strategysignals.duckdns.org, paid per call via x402, $0.04/call, status unknown (last checked 2026-09-13).
Returns a transparent, methodology-backed composite score (trend, volatility, relative strength) and conviction rating for BTC, ETH, or SOL.
The flagship signal: a single transparent 0-100 conviction score combining trend regime, volatility context, and relative strength vs other tracked assets -- with the full component breakdown shown, not a black-box model. Every number is independently verifiable via strategy-consensus, strategy-rank, or strategy-backtest.
A JSON object containing the requested asset symbol, a composite score (0–100), individual component scores for trend (vs 200-day SMA), volatility (percentile), and relative strength (ranking among BTC/ETH/SOL), each with weight and human-readable detail, plus a conviction label (e.g. 'high_conviction') and a plain-text methodology explanation.
POSThttps://strategysignals.duckdns.org/tools/strategy-compositeChoose this endpoint when you need a transparent, verifiable, methodology-disclosed composite trading signal for BTC, ETH, or SOL — especially when you need to audit or backtest the underlying components (trend vs 200-day SMA, volatility percentile, cross-asset relative strength ranking) rather than trust a black-box model score.
| Field | Type | Description |
|---|---|---|
| asset | string |
{
"type": "json",
"example": {
"asset": "BTC",
"components": [
{
"name": "trend",
"score": 58.4,
"detail": "+8.40% vs its own 200-day SMA",
"weight": 0.5
},
{
"name": "volatility",
"score": 78,
"detail": "volatility percentile 0.22 (lower = calmer = more favorable)",
"weight": 0.25
},
{
"name": "relative_strength",
"score": 100,
"detail": "ranked 1 of 3 tracked assets by trend strength",
"weight": 0.25
}
],
"conviction": "high_conviction",
"methodology": "Transparent weighted score, not a black-box model: 50% trend + 25% volatility + 25% relative strength. Verify any component yourself.",
"composite_score": 72.3
}
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