{
  "$schema": "https://clearmarket.fyi/schema/signal/v1.json",
  "record_id": "CMSIG2026080702",
  "record_slug": "fed-cut-above-25bp-in-2026-kalshi-5-2026-08-07",
  "schema_version": "v0.2.0",
  "provenance_version": "0.2.0",
  "published_at": "2026-08-07T00:00:00.000Z",
  "semantic_title": "Odds on a jumbo Fed cut this year hold near long-shot territory",
  "telemetry": "Kalshi 5%",
  "headline": "Fed cut above 25bp in 2026: Kalshi 5%",
  "category_tag": "MOMENTUM_REPRICING",
  "secondary_tags": [],
  "detection_path": "news_cycle",
  "pre_news_classification": "concurrent",
  "status": {
    "state": "live",
    "as_of": "2026-09-05",
    "outcome": null,
    "outcome_basis": null,
    "final_price": null,
    "resolved_at": null
  },
  "target_event_id": "CM-EVT-RWRZ1R3SD6",
  "target_event_slug": "kxlargecut-26",
  "event_question": "Will the Federal Reserve do a rate cut greater than 25 basis points this year?",
  "linked_event_ids": [],
  "primary_market": {
    "platform": "kalshi",
    "platform_market_id": "KXLARGECUT-26",
    "question_raw": "Will the Fed cut rates more than 25 bps in 2026?",
    "current_price": 0.054,
    "volume_24h_usd": 52.15,
    "arbitration_model": "kalshi_staff",
    "resolution_source": "Federal Reserve",
    "resolves_at": "2027-01-01T15:00:00Z"
  },
  "related_markets": [],
  "bullets": [
    "Kalshi puts only 5% odds on the Federal Reserve delivering a rate cut greater than 25 basis points at any point in 2026.",
    "July payrolls printed minus 23,000 versus a plus 95,000 consensus, the miss shifts debate toward a hold, not a large cut.",
    "The 5% Kalshi reading suggests markets see the jobs miss as insufficient to force emergency-style easing; a hold remains the base case.",
    "Resolves via the Federal Reserve's official rate decision announcements through year-end 2026."
  ],
  "atomic_claims": [
    {
      "type": "news_event",
      "field_provenance": {
        "story": {
          "tier": "mediated",
          "method": "exa_search",
          "source": "Yun Li,Sean Conlon,Hugh Leask",
          "source_url": "https://www.cnbc.com/2026/08/07/treasury-yields-steady-ahead-of-key-nonfarm-payrolls-jobless-data.html",
          "retrieved_at": "2026-08-09T08:36:33+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": "Treasury yields fell after the U.S. economy unexpectedly shed 23,000 jobs in July, dimming the near-term rate hike outlook.",
      "publisher": "Yun Li,Sean Conlon,Hugh Leask",
      "published_at": "2026-08-07T00:00:00.000Z",
      "source_url": "https://www.cnbc.com/2026/08/07/treasury-yields-steady-ahead-of-key-nonfarm-payrolls-jobless-data.html"
    },
    {
      "type": "pm_response",
      "field_provenance": {
        "notes": {
          "tier": "editorial",
          "method": "llm_judge_cm_signal_v1"
        }
      },
      "notes": "Kalshi contract resolves via Federal Reserve decisions; at 5%, markets are pricing a jumbo cut as a tail risk only."
    }
  ],
  "sources": [
    {
      "label": "Yun Li,Sean Conlon,Hugh Leask: Treasury yields drop after surprise jobs loss in July",
      "url": "https://www.cnbc.com/2026/08/07/treasury-yields-steady-ahead-of-key-nonfarm-payrolls-jobless-data.html",
      "published_at": "2026-08-07T00:00:00.000Z",
      "retrieved_at": "2026-08-09T08:36:33+00:00"
    }
  ],
  "field_provenance": {
    "pm_data": "kalshi_api",
    "news_context": "exa_search",
    "editorial_judgment": "cm_signal_llm_judge"
  },
  "canonical_urls": {
    "html": "https://clearmarket.fyi/signals/fed-cut-above-25bp-in-2026-kalshi-5-2026-08-07/",
    "json": "https://clearmarket.fyi/signals/fed-cut-above-25bp-in-2026-kalshi-5-2026-08-07.json"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "_provenance_registry": {
    "direct": "Unaltered extraction from primary venue/source API (e.g., polymarket_clob_api, kalshi_api, BLS, FRED). Highest trust tier.",
    "mediated": "Information fetched via grounded agentic retrieval (e.g., perplexity_grounded). MUST carry source_url to the underlying primary source.",
    "derived": "Algorithmic computation from listed inputs. Chain only as fresh as the oldest input timestamp (see as_of).",
    "editorial": "Interpretive classification produced by a versioned LLM prompt template (prompts auditable in github.com/JDSource/clearmarket/prompts)."
  },
  "_provenance_canonical": "https://clearmarket.fyi/schema/provenance/v1"
}