Fed rate cut before 2027 consensus wavers at low conviction
- Kalshi prediction market prices only 22% on the Federal Reserve cutting its benchmark rate before 2027.
- June jobs forecasts calling for solid hiring are consistent with the low cut probability, strong employment data reduces urgency for easing.
- A separate Kalshi contract puts just 7% on any cut exceeding 25 basis points in a single meeting, reinforcing the market's cautious-hold posture.
- Resolves via Federal Reserve official policy decision; any cut of any size before January 1, 2027 would trigger resolution as YES.
- story
- Economists forecast continued solid hiring for June, but remained divided on whether healthy jobs data would prompt the Federal Reserve to ease policy before year-end.exa_search → morningstar.com · as_of 2026-07-02T10:34:14+00:00 [mediated]
- publisher
- morningstar.com
- published_at
- 2026-06-30T23:17:50.000Z
- interp
- Kalshi's 22% reflects a market that is skeptical of near-term easing despite the split economist consensus previewed in the Morningstar jobs-forecast survey.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/kxratecut-26dec31/
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/fed-cut-before-2027-kalshi-22-2026-06-30/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/fed-cut-before-2027-kalshi-22-2026-06-30.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("fed-cut-before-2027-kalshi-22-2026-06-30") |
| 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": "CMSIG2026063004",
"published_at": "2026-06-30T23:17:50.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-X2TT2M9D02",
"target_event_slug": "kxratecut-26dec31",
"event_question": "Will the Federal Reserve cut its benchmark interest rate before 2027?",
"bullets": [
"Kalshi prediction market prices only 22% on the Federal Reserve cutting its benchmark rate before 2027.",
"June jobs forecasts calling for solid hiring are consistent with the low cut probability, strong employment data reduces urgency for easing.",
"A separate Kalshi contract puts just 7% on any cut exceeding 25 basis points in a single meeting, reinforcing the market's cautious-hold posture.",
"Resolves via Federal Reserve official policy decision; any cut of any size before January 1, 2027 would trigger resolution as YES."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "morningstar.com",
"source_url": "https://www.morningstar.com/economy/june-job-forecasts-show-continued-robust-gains-hiring",
"retrieved_at": "2026-07-02T10:34:14+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": "Economists forecast continued solid hiring for June, but remained divided on whether healthy jobs data would prompt the Federal Reserve to ease policy before year-end.",
"publisher": "morningstar.com",
"published_at": "2026-06-30T23:17:50.000Z",
"source_url": "https://www.morningstar.com/economy/june-job-forecasts-show-continued-robust-gains-hiring"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Kalshi's 22% reflects a market that is skeptical of near-term easing despite the split economist consensus previewed in the Morningstar jobs-forecast survey."
}
],
"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/kxratecut-26dec31/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXRATECUT-26DEC31",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "morningstar.com: June Job Forecasts Show Continued Robust Gains In Hiring | Morningstar",
"url": "https://www.morningstar.com/economy/june-job-forecasts-show-continued-robust-gains-hiring",
"published_at": "2026-06-30T23:17:50.000Z",
"retrieved_at": "2026-07-02T10:34:14+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