Will Trump do something during the week of May 31 - June 6? [ resolves 2026-06-07 (4D) ]
kalshi: [A] single source·objective outcome methodology ›
distribution · by strike
kalshi 8 markets
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ 1 | 2026-06-07 | 99.0% | $65 | $4.3K | A | KXTRUMPACT-2…-T1 | ||
| ≥ 2 | 2026-06-07 | 99.0% | $65 | $2.3K | A | KXTRUMPACT-2…-T2 | ||
| ≥ 3 | 2026-06-07 | 99.0% | $1.6K | $2.6K | A | KXTRUMPACT-2…-T3 | ||
| ≥ 4 | 2026-06-07 | 90.0% | $384 | $659 | A | KXTRUMPACT-2…-T4 | ||
| ≥ 5 | 2026-06-07 | 83.0% | $1.3K | $2.1K | A | KXTRUMPACT-2…-T5 | ||
| ≥ 7 | 2026-06-07 | 27.0% | $348 | $709 | A | KXTRUMPACT-2…-T7 | ||
| ≥ 10 | 2026-06-07 | 3.0% | $5 | $33 | A | KXTRUMPACT-2…T10 | ||
| ≥ 15 | 2026-06-07 | 3.0% | $0 | $23 | A | KXTRUMPACT-2…T15 |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | the White House | link | Kalshi Staff | Other | — |
verbatim rules
kalshi
If Donald Trump has taken at least 1 presidential actions from May 31, 2026 through Jun 6, 2026 (as checked on the “Presidential Actions” page at whitehouse.gov at 10:00 AM ET on Jun 7, 2026), then the market resolves to Yes.
The market solely resolves to the publication dates visibly displayed on the home page of the "Presidential Actions" tab at whitehouse.gov at at 10:00 AM ET on Jun 7, 2026. The week runs from May 31, 2026 through Jun 6, 2026. The actions may include proclamations, executive orders, nominations & appointments, and memoranda. Any item listed on the page counts, regardless of its legal effect.
Examples (for Jan 10, 2026):
Executive Order with a Jan 7 signing date is released with a Jan 10 publication date → resolves Yes
Proclamation e-mailed to White House Press Pool but not uploaded by 10:00 AM next day → resolves No
Proclamation is released Jan 10 with a backdated Jan 9 publication date → resolves No
Bill signed into law and shows up on "Briefings & Statements" instead of "Presidential Actions" → resolves No
platform source field
kalshi.settlement_sources → "the White House" ↗ recent wire items
monitoring status: active no active wire
No CM Signal wire has been published for this event yet.
CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.
programmatic access · four surfaces, same payload
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 (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/kxtrumpact-26may31/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxtrumpact-26may31.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxtrumpact-26may31") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-06-03. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"event_id": "CM-EVT-9ZMPV3B1X7",
"slug": "kxtrumpact-26may31",
"question": "Will Trump do something during the week of May 31 - June 6?",
"category": "politics",
"tags": [
"politics",
"us-politics",
"presidential-action",
"weekly-event",
"trump",
"2026"
],
"venues_covered": [
"kalshi"
],
"market_count": 8,
"cumulative_volume_usd": 12741,
"resolution_clarity_grade": "A",
"rcg_score": 100,
"rcg_caps": [],
"resolution_source": "the White House",
"resolution_source_url": "https://www.whitehouse.gov/presidential-actions/",
"arbitration_model": "kalshi_staff",
"proposer_model": "platform_staff",
"field_provenance": {
"question": {
"source": "clearmarket_editorial"
},
"tags": {
"source": "clearmarket_editorial",
"ai_drafted": true
},
"resolution_clarity_grade": {
"source": "derived",
"method": "rcg_v2_7factor"
},
"venues_covered": {
"source": "derived"
}
}
}