RTX 5090 compute per hour price, June 30, 2026 [ resolves 2026-07-01 (28D) ]
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ $0.06 | 2026-07-01 | 99.0% | — | $5.1K | C | KXRTX5090Q-2…060 | ||
| ≥ $0.16 | 2026-07-01 | 99.0% | — | $4.1K | C | KXRTX5090Q-2…160 | ||
| ≥ $0.26 | 2026-07-01 | 99.0% | $11 | $69 | C | KXRTX5090Q-2…260 | ||
| ≥ $0.36 | 2026-07-01 | 99.0% | $7 | $283 | C | KXRTX5090Q-2…360 | ||
| ≥ $0.46 | 2026-07-01 | 98.0% | $4 | $33 | C | KXRTX5090Q-2…460 | ||
| ≥ $0.56 | 2026-07-01 | 98.0% | $1 | $3 | C | KXRTX5090Q-2…560 | ||
| ≥ $0.66 | 2026-07-01 | 98.0% | $1 | $144 | C | KXRTX5090Q-2…660 | ||
| ≥ $0.76 | 2026-07-01 | 82.0% | — | $493 | C | KXRTX5090Q-2…760 | ||
| ≥ $0.86 | 2026-07-01 | 78.0% | — | $868 | C | KXRTX5090Q-2…860 | ||
| ≥ $0.96 | 2026-07-01 | 79.0% | — | $442 | C | KXRTX5090Q-2…960 | ||
| ≥ $1.06 | 2026-07-01 | 75.0% | — | $347 | C | KXRTX5090Q-2…060 | ||
| ≥ $1.16 | 2026-07-01 | 76.0% | — | $382 | C | KXRTX5090Q-2…160 | ||
| ≥ $1.26 | 2026-07-01 | 50.0% | — | $392 | C | KXRTX5090Q-2…260 | ||
| ≥ $1.36 | 2026-07-01 | 48.0% | — | $204 | C | KXRTX5090Q-2…360 | ||
| ≥ $1.46 | 2026-07-01 | 22.0% | — | $72 | C | KXRTX5090Q-2…460 | ||
| ≥ $1.56 | 2026-07-01 | 25.0% | — | $64 | C | KXRTX5090Q-2…560 | ||
| ≥ $1.66 | 2026-07-01 | 22.0% | — | $26 | C | KXRTX5090Q-2…660 | ||
| ≥ $1.76 | 2026-07-01 | 9.0% | — | $10 | C | KXRTX5090Q-2…760 |
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | uncommitted | not provided | Kalshi Staff | Other | — |
kalshi.resolutionSource → ∅ no committed source — see rules text above 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.
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/kxrtx5090q-26jun30/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxrtx5090q-26jun30.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxrtx5090q-26jun30") |
| 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-K3WSGLLCD4",
"slug": "kxrtx5090q-26jun30",
"question": "RTX 5090 compute per hour price, June 30, 2026",
"category": "technology",
"tags": [
"technology",
"nvidia-gpu-pricing",
"cloud-compute-costs",
"q2-2026",
"hardware-economics",
"ai-infrastructure"
],
"venues_covered": [
"kalshi"
],
"market_count": 18,
"cumulative_volume_usd": 13017,
"resolution_clarity_grade": "C",
"rcg_score": 78,
"rcg_caps": [
"uncommitted_placeholder"
],
"resolution_source": null,
"resolution_source_url": "https://www.ornnai.com/",
"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"
}
}
}