Explain a trading signal by building a feature-contribution graph and running single-entry forward-push PageRank from the signal output node. Top-K ranked features are returned as a markdown table AND persisted to trading-analysis as a SignedAttributionArtifact (ADR-126 Phase 6).

Why this skill matters:

EU AI Act + SEC Reg-AI guidance require interpretable model output for any algorithmic trading system that touches retail capital. This is the regulator-grade attribution path the rest of the substrate has been waiting for.
The same call site picks up the full native-WASM PageRank from mcp__ruflo-sublinear__page-rank-entry once that tool is registered in the runtime — until then, the local power-iteration kernel ships in signed-attribution.mjs and produces the same ordering (seeded mulberry32).

Steps:

Retrieve the signal from the canonical trading-signals namespace (ADR-126 Phase 1 + Phase 2 lifecycle):
```
mcp__claude-flow__memory_retrieve({
  key: "SIGNAL_ID",
  namespace: "trading-signals"
})
```
The signal entry includes modelId, prediction, and the feature vector at the time of inference.

trader-explain