Trump approval above 43 percent stays a long shot
- Kalshi ladder shows only 3% probability of Trump's approval rating exceeding 43%, with no strike above 50% reaching double digits.
- The record-low approval news is consistent with the ladder's distribution, which implies the market already embedded a sub-43% approval scenario.
- The companion Kalshi binary (CM-EVT-0DMSQTKVX3) puts 10% odds on approval ending below its stated threshold on December 31, 2026, suggesting modest recovery odds are priced in over the longer horizon.
- Resolution for CM-EVT-0DMSQTKVX3 cites a polling organization as source; the unnamed resolver is a settlement-edge risk if methodologies diverge across pollsters.
- story
- PBS News reports President Donald Trump's approval rating hit a record low, with NPR and Cook Political Report analysts discussing the political fallout.exa_search → Geoff Bennett, Ali Schmitz · as_of 2026-10-20T07:47:27+00:00 [mediated]
- publisher
- Geoff Bennett, Ali Schmitz
- published_at
- 2026-10-19T00:00:00.000Z
- interp
- Kalshi ladder on Trump approval; the distribution is tightly stacked below 43%, fully aligned with the record-low news and leaving little room for upside surprise.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.
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/trump-approval-above-43-kalshi-ladder-puts-odds-below-10-2026-10-19/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/trump-approval-above-43-kalshi-ladder-puts-odds-below-10-2026-10-19.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("trump-approval-above-43-kalshi-ladder-puts-odds-below-10-2026-10-19") |
| 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": "CMSIG2026101906",
"published_at": "2026-10-19T00:00:00.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-VWW9FTFB33",
"target_event_slug": "kxtrumpapprovalyear-26dec31",
"event_question": "Trump approval rating threshold during contract window",
"bullets": [
"Kalshi ladder shows only 3% probability of Trump's approval rating exceeding 43%, with no strike above 50% reaching double digits.",
"The record-low approval news is consistent with the ladder's distribution, which implies the market already embedded a sub-43% approval scenario.",
"The companion Kalshi binary (CM-EVT-0DMSQTKVX3) puts 10% odds on approval ending below its stated threshold on December 31, 2026, suggesting modest recovery odds are priced in over the longer horizon.",
"Resolution for CM-EVT-0DMSQTKVX3 cites a polling organization as source; the unnamed resolver is a settlement-edge risk if methodologies diverge across pollsters."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "Geoff Bennett, Ali Schmitz",
"source_url": "https://www.pbs.org/newshour/show/tamara-keith-and-carrie-dann-on-trumps-approval-rating-hitting-a-record-low",
"retrieved_at": "2026-10-20T07:47:27+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": "PBS News reports President Donald Trump's approval rating hit a record low, with NPR and Cook Political Report analysts discussing the political fallout.",
"publisher": "Geoff Bennett, Ali Schmitz",
"published_at": "2026-10-19T00:00:00.000Z",
"source_url": "https://www.pbs.org/newshour/show/tamara-keith-and-carrie-dann-on-trumps-approval-rating-hitting-a-record-low"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Kalshi ladder on Trump approval; the distribution is tightly stacked below 43%, fully aligned with the record-low news and leaving little room for upside surprise."
}
],
"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/kxtrumpapprovalyear-26dec31/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXTRUMPAPPROVALYEAR-26DEC31-43",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "Geoff Bennett, Ali Schmitz: Tamara Keith and Carrie Dann on Trump's approval rating hitting a reco",
"url": "https://www.pbs.org/newshour/show/tamara-keith-and-carrie-dann-on-trumps-approval-rating-hitting-a-record-low",
"published_at": "2026-10-19T00:00:00.000Z",
"retrieved_at": "2026-10-20T07:47:27+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