Will Trump sign more than X executive orders between May 31 and June 6? [ resolved 2026-06-12 ]
kalshi: [A] single source·objective outcome methodology ›
distribution · by outcome · marks: daily snapshot
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Federal Register | not provided | Kalshi Staff | Other | — |
verbatim rules
kalshi
If the President signs above 0 executive orders during May 31, 2026 to Jun 6, 2026, then the market resolves to Yes.
An "Executive Order" is a numbered presidential directive that: is formally titled "Executive Order" followed by a number, is signed by the President, is published in the Federal Register, and has the force of law. All documents officially designated as "Executive Orders" with sequential numbering count, including Executive Orders that are later revoked or amended.
The signing date as recorded in the Federal Register determines which period an Executive Order belongs to. If, for example, the period was "Jan 1, 2025 to Jan 7, 2025," and on January 10th the Federal Register published a numbered Executive Order with a January 7th signing date, the market would resolve to Yes. The latest Expiration Date of the Contract shall be two weeks after the end of the period. If an Executive Order that is dated past May 31, 2026 to Jun 6, 2026 is posted to the Federal Register, expiration may be moved to an earlier date.
platform source field
kalshi.settlement_sources → "Federal Register" resolution history
| outcome | market | venue | resolved | final price |
|---|---|---|---|---|
| YES | Will the President sign more than 0 Executive Orders between May 31, 2026 and Jun 6, 2026? | kalshi | 2026-06-12 | 100% |
| YES | Will the President sign more than 1 Executive Orders between May 31, 2026 and Jun 6, 2026? | kalshi | 2026-06-12 | 100% |
| YES | Will the President sign more than 2 Executive Orders between May 31, 2026 and Jun 6, 2026? | kalshi | 2026-06-12 | 100% |
Derived from the platform price + resolution-date snapshot (3 resolved markets). PENDING upgrades to a final outcome on the next refresh.
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
One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/kxeoweek-26jun06/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxeoweek-26jun06 |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxeoweek-26jun06") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-07-06. 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-4T7NF3RGH4",
"slug": "kxeoweek-26jun06",
"question": "Will Trump sign more than X executive orders between May 31 and June 6?",
"category": "politics",
"tags": [
"politics",
"executive-orders",
"trump-administration",
"presidential-action",
"weekly-snapshot",
"us-politics"
],
"venues_covered": [
"kalshi"
],
"market_count": 3,
"cumulative_volume_usd": 29480,
"resolution_clarity_grade": "A",
"rcg_score": 90,
"rcg_caps": [],
"resolution_source": "Federal Register",
"resolution_source_url": "https://www.federalregister.gov/",
"source_status": "platform_named",
"source_of_record": null,
"resolution_source_list": null,
"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"
}
}
}