American Airlines passenger load factor, January 2027 [ resolves 2027-04-27 (266D) ]
kalshi: [C] single source·objective outcome methodology ›
distribution · by strike · marks: daily snapshot
kalshi 8 markets
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ 82% | 2027-04-27 | 99.0% | — | $9.8K | C | KXAALA-27JANPLF-82 | ||
| ≥ 82.5% | 2027-04-27 | 86.0% | — | $5.7K | C | KXAALA-27JAN…2.5 | ||
| ≥ 83% | 2027-04-27 | 81.0% | — | $544 | C | KXAALA-27JANPLF-83 | ||
| ≥ 83.5% | 2027-04-27 | 44.0% | — | $259 | C | KXAALA-27JAN…3.5 | ||
| ≥ 84% | 2027-04-27 | 16.0% | — | $2 | C | KXAALA-27JANPLF-84 | ||
| ≥ 84.5% | 2027-04-27 | 8.0% | — | $201 | C | KXAALA-27JAN…4.5 | ||
| ≥ 85% | 2027-04-27 | 5.0% | — | $250 | C | KXAALA-27JANPLF-85 | ||
| ≥ 85.5% | 2027-04-27 | 3.0% | — | $110 | C | KXAALA-27JAN…5.5 |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Fiscal.ai | not provided | Kalshi Staff | Other | — |
verbatim rules
kalshi
If American Airlines Group Inc. reports Above 82% passenger load factor in fiscal 2026, then the market resolves to Yes.
This market refers to the annual figure reported in American Airlines Group Inc.'s full fiscal year or Q4 earnings release.
platform source field
kalshi.settlement_sources → "Fiscal.ai" sources (1) · single authority
- Fiscal.ai source of record venue-listed
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/kxaala-27janplf/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxaala-27janplf |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxaala-27janplf") |
| 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-DGGQ1TXDR1",
"slug": "kxaala-27janplf",
"question": "American Airlines passenger load factor, January 2027",
"category": "financials",
"tags": [
"financials",
"american-airlines",
"passenger-load-factor",
"airline-operations",
"fiscal-2026",
"financial-metrics"
],
"venues_covered": [
"kalshi"
],
"market_count": 8,
"cumulative_volume_usd": 16860,
"resolution_clarity_grade": "C",
"rcg_score": 88,
"rcg_caps": [
"commitment_committed_secondhand"
],
"resolution_source": "Fiscal.ai",
"resolution_source_url": "https://fiscal.ai",
"source_status": "platform_named",
"source_of_record": "Fiscal.ai",
"resolution_source_list": [
{
"name": "Fiscal.ai",
"url": "https://fiscal.ai",
"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"
}
}
}