October unemployment rate priced in the 4.1-4.2 percent range
- The ladder prices 71% above 4.1% and 32% above 4.2%, placing consensus unemployment in the 4.1-4.2% range for October.
- Trading volume on this ladder rose 331x day-over-day, the largest volume spike in today's dataset, suggesting strong fresh interest following the September jobs read.
- A 4.1-4.2% unemployment read is consistent with the Conference Board's 'labor market strong enough' framing: not loose enough to alarm, not tight enough to ease Fed caution.
- Resolution is via BLS Employment Situation; the 91% probability above 4.0% confirms the market sees essentially zero chance unemployment returns below the pre-softening threshold.
- story
- September employment data came in strong enough, per Conference Board economist Yelena Shulyatyeva, to give the Fed room to focus on inflation rather than labor-market risk.exa_search → Yelena Shulyatyeva · as_of 2026-10-21T07:48:07+00:00 [mediated]
- publisher
- Yelena Shulyatyeva
- published_at
- 2026-10-20T12:04:42.000Z
- interp
- Volume up 331x day-over-day on this Kalshi ladder is the standout signal; the distribution tightly clusters around 4.1-4.2%, aligning with the 'steady but not booming' labor narrative.llm_judge_cm_signal_v1 [editorial]
News-cycle wires publish on coverage, not editorial selection — the day’s top stories matched to the prediction markets pricing them, so nothing is cherry-picked.
- judge_engine
none — deterministic news-cycle scan- judge_verdict
- auto_published
- judge_confidence
- n/a — no judge gate (deterministic publishing)
- prompt_template
news_cycle_v1github · auditable- match_method
entity_slug_match (mechanical)
Every wire traces back to the ClearMarket event it is built on, and out to each venue’s own market page — so any figure here can be verified at its source.
- cm_event
- /events/kxu3-26oct/
AI grounded search reads embedded JSON-LD in HTML. Developers query REST. Agentic AI clients (Claude Desktop, Cursor) call MCP tools. AI crawlers index via /llms.txt. Same canonical record at every surface.
| HTML | browsers, AI grounded search, crawlers (contains embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/signals/october-u-3-unemployment-rate-ladder-implies-4-1-4-2-2026-10-20/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/october-u-3-unemployment-rate-ladder-implies-4-1-4-2-2026-10-20.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("october-u-3-unemployment-rate-ladder-implies-4-1-4-2-2026-10-20") |
| AGENT | AI crawler discovery index | /llms.txt |
PM data: platform APIs (hourly refresh). News context: retrieved with source citations. Editorial judgment: LLM judge with prompt template versioned per wire type. Per-claim provenance inline above; full per-field provenance map at the JSON endpoint under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"$schema": "https://clearmarket.fyi/schema/signal/v1.json",
"provenance_version": "0.2.0",
"record_id": "CMSIG2026102003",
"published_at": "2026-10-20T12:04:42.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-2X91TW50H2",
"target_event_slug": "kxu3-26oct",
"event_question": "October 2026 unemployment rate (U-3)",
"bullets": [
"The ladder prices 71% above 4.1% and 32% above 4.2%, placing consensus unemployment in the 4.1-4.2% range for October.",
"Trading volume on this ladder rose 331x day-over-day, the largest volume spike in today's dataset, suggesting strong fresh interest following the September jobs read.",
"A 4.1-4.2% unemployment read is consistent with the Conference Board's 'labor market strong enough' framing: not loose enough to alarm, not tight enough to ease Fed caution.",
"Resolution is via BLS Employment Situation; the 91% probability above 4.0% confirms the market sees essentially zero chance unemployment returns below the pre-softening threshold."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "Yelena Shulyatyeva",
"source_url": "https://www.conference-board.org/research/labor-markets-briefs/jobs-report-insights-sept-2026",
"retrieved_at": "2026-10-21T07:48:07+00:00"
}
},
"significance": {
"threshold": 5,
"threshold_unit": "rank",
"passed": true,
"reason": "surfaced in the daily Exa news-cycle scan; mechanically matched to an active kalshi market"
},
"story": "September employment data came in strong enough, per Conference Board economist Yelena Shulyatyeva, to give the Fed room to focus on inflation rather than labor-market risk.",
"publisher": "Yelena Shulyatyeva",
"published_at": "2026-10-20T12:04:42.000Z",
"source_url": "https://www.conference-board.org/research/labor-markets-briefs/jobs-report-insights-sept-2026"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Volume up 331x day-over-day on this Kalshi ladder is the standout signal; the distribution tightly clusters around 4.1-4.2%, aligning with the 'steady but not booming' labor narrative."
}
],
"evaluation": {
"judge_engine": "none — deterministic news-cycle scan",
"judge_verdict": "auto_published",
"judge_confidence": null,
"prompt_template": "news_cycle_v1"
},
"citations": {
"internal": {
"cm_event": "/events/kxu3-26oct/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXU3-26OCT-T4.2",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "Yelena Shulyatyeva: Labor Market Strong Enough for Fed to Focus on Inflation",
"url": "https://www.conference-board.org/research/labor-markets-briefs/jobs-report-insights-sept-2026",
"published_at": "2026-10-20T12:04:42.000Z",
"retrieved_at": "2026-10-21T07:48:07+00:00"
}
],
"field_provenance": {
"pm_data": "kalshi_api",
"news_context": "exa_search",
"editorial_judgment": "cm_signal_llm_judge"
}
}
PROVENANCE PROTOCOL v0.2 · [direct] venue api · [mediated] grounded web fetch + source url · [derived] computed from listed inputs · [editorial] versioned llm judgment · full spec /schema/provenance/v1