Maryland Governor winner? [ resolves 2026-11 – 2027-01 ]
Will the Democratic party win the governorship in Maryland
kalshi: [A] single source·objective outcome methodology ›
markets · by resolution date · marks: daily snapshot
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | US State Governments | link | Kalshi Staff | Other | — |
verbatim rules
kalshi
If a representative of the Democratic party is inaugurated as the governor of Maryland pursuant to the 2026 election, then the market resolves to Yes.
platform source field
kalshi.settlement_sources → "US State Governments" ↗ sources (1) · single authority
US State Governments committed source
resolution history
| outcome | market | venue | resolved | final price |
|---|---|---|---|---|
| YES | Will the Democratic party win the governorship in Maryland | kalshi | 2026-11-04 | 100% |
Resolution dates are the venue's settlement timestamps (1 resolved market). Rows shown as "by [date]" carry the contract deadline: the venue no longer exposes a settlement time for them. PENDING upgrades to a final outcome on the next refresh.
recent wire items
- Maryland governorship is effectively settled for Democrats 99% · $73K 24h
- At 99%, Kalshi leaves virtually no probability for a Republican upset in Maryland's governorship.
- $73K in 24h is a striking 70% of all-time volume, the bulk of lifetime trading landed today.
- Late-stage volume at near-certainty prices likely reflects closing arbitrage and contract cleanup ahead of resolution.
- Resolves on Maryland governor race result.
- Maryland governor odds stay near certain with a volume surge 99% · $72K 24h
- At 99% on Kalshi, the market treats a Democratic Maryland governorship as near-certain.
- $72K in 24h is 70% of all-time volume, an extraordinary concentration implying late one-sided flow to lock in the edge.
- Maryland is a reliably blue state; surge likely reflects traders closing positions or arbitraging residual risk at the limit.
- Resolves on certified 2026 Maryland gubernatorial result.
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/govpartymd-26/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/govpartymd-26 |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("govpartymd-26") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-08-04. 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-RYZ7GGP8S0",
"slug": "govpartymd-26",
"question": "Maryland Governor winner?",
"category": "politics",
"tags": [
"politics",
"us-gubernatorial-2026",
"maryland-politics",
"state-executive",
"partisan-outcome",
"electoral-forecast"
],
"venues_covered": [
"kalshi"
],
"market_count": 2,
"cumulative_volume_usd": 5393,
"resolution_clarity_grade": "A",
"rcg_score": 100,
"rcg_caps": [],
"resolution_source": "US State Governments",
"resolution_source_url": "https://www.usa.gov/state-governments",
"source_status": "platform_named",
"source_of_record": "US State Governments",
"resolution_source_list": [
{
"name": "US State Governments",
"url": "https://www.usa.gov/state-governments",
"provenance": "platform_api"
}
],
"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"
}
}
}