similarityraw_series

OpenClaw-style candidate and durable breakout analog are strongly similar overall. The best agreement appears in trend similarity and shape similarity.

Overall similarity score.

0.99

OpenClaw-style candidate vs durable breakout analog · very high

Recommended next actions

Plot both series after z-score normalization to show the shared shape without scale differences.
Run rolling or windowed similarity if you expect the relationship to change over time.
Use structural-profile similarity when scales, frequencies, or observation modes differ too much for raw-shape comparison.
Inspect spectral or seasonality-aware models because the two series share rhythm strongly.

Use this as an interpretable comparison summary. If you need alignment paths or distance matrices, pair the result with a lower-level similarity library.

Notes and guardrails

No major notes.

Compact agent context

{
  "type": "similarity",
  "headline": "OpenClaw-style candidate and durable breakout analog are strongly similar overall. The best agreement appears in trend similarity and shape similarity.",
  "overall_similarity": 0.9920375389347644,
  "qualitative_label": "very high",
  "top_components": [
    {
      "name": "trend_similarity",
      "score": 0.9997700043143813,
      "level": "very high"
    },
    {
      "name": "shape_similarity",
      "score": 0.9997529842349095,
      "level": "very high"
    },
    {
      "name": "dtw_similarity",
      "score": 0.996616443101194,
      "level": "very high"
    }
  ],
  "profile_similarity": null,
  "rolling_summary": null,
  "suggestions": [
    "Plot both series after z-score normalization to show the shared shape without scale differences.",
    "Run rolling or windowed similarity if you expect the relationship to change over time."
  ],
  "notes": []
}