Will Natural Gas (NG) hit a specific price level in June 2026? [ resolves 2026-07-01 (28D) ]
polymarket: [B] single source·objective outcome methodology ›
distribution · by strike
polymarket 14 markets
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ $1.8 | 2026-07-01 | 5.0% | — | $1.0K | B | 0xc3847f…e8b4 | ||
| ≥ $2 | 2026-07-01 | 8.0% | $299 | $825 | B | 0xfc490b…fd21 | ||
| ≥ $2.2 | 2026-07-01 | 2.9% | $60 | $1.4K | B | 0xf37357…1d38 | ||
| ≥ $2.4 | 2026-07-01 | 4.7% | $269 | $644 | B | 0xa94e12…0da3 | ||
| ≥ $2.6 | 2026-07-01 | 13.0% | $192 | $599 | B | 0xb31581…1a3f | ||
| ≥ $2.8 | 2026-07-01 | 31.0% | $2.0K | $2.5K | B | 0x306759…698d | ||
| ≥ $3 | 2026-07-01 | 76.0% | $2.6K | $2.9K | B | 0x508c47…b041 | ||
| ≥ $3.2 | 2026-07-01 | 99.9% | — | $7.8K | B | 0x0f9d0f…19f1 | ||
| ≥ $3.4 | 2026-07-01 | 60.0% | $136 | $421 | B | 0xd65445…53d7 | ||
| ≥ $3.6 | 2026-07-01 | 30.0% | $1.1K | $5.2K | B | 0xcc0a82…2304 | ||
| ≥ $3.8 | 2026-07-01 | 15.0% | $218 | $4.0K | B | 0x5a1178…28c7 | ||
| ≥ $4 | 2026-07-01 | 8.0% | $889 | $1.6K | B | 0x48f066…9a95 | ||
| ≥ $4.2 | 2026-07-01 | 9.0% | $50 | $103 | B | 0xb6ec93…6dc9 | ||
| ≥ $4.4 | 2026-07-01 | 6.6% | $41 | $82 | B | 0x9118db…6a06 |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| polymarket | Whitelisted Proposers | uncommitted | link | Optimistic Oracle (UMA) | Other | — |
verbatim rules
polymarket
This market will resolve to "Yes" if, at any point after market creation and during a trading session of June 2026, any 1-minute candle for the Active Month of Natural Gas futures has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Prices will be used exactly as published by Pyth, without rounding.
If the Active Month contract does not trade at all during the listed time frame, this market will resolve to "No".
Only prices achieved during an applicable trading session of the specified timeframe’s business days will be considered. The trading session for a given business day typically begins at 6:00 PM ET on the prior calendar date. Under the standard schedule, trading is open from 6:00:00 PM ET Sunday through 5:00:00 PM ET Friday, with a daily break from 5:00:00 PM ET to 6:00:00 PM ET, except where modified by holiday or special-session hours.
The active month changes at the start of the second trading session prior to that contract's last trading session, at which point the next listed contract becomes the active month (i.e., for the final three trading sessions of the nearest listed contract, the contract for the next month is the active month).
Per CME contract specifications for Natural Gas (NG) futures, the last trading day is defined as the third last business day of the month preceding the contract's delivery month.
For example, if the last business day of the month preceding the contract's delivery month is a Thursday, the last trading session is the session for the prior Tuesday, and the next listed contract becomes the active month at the start of the trading session for the Friday of the previous week (6:00 PM ET on Thursday), assuming a standard trading calendar.
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published for the Active Month Natural Gas (NG) futures contract by CME Group may be used to determine whether the listed price was reached during the applicable trading session.
In the event of a contract specification change, feed change, or similar structural modification affecting the underlying market during the listed time frame, this market will resolve based on adjusted prices as displayed on Pyth.
The resolution source for this market is Pyth — specifically, the Active Month Natural Gas futures "High" and "Low" prices available at https://pythdata.app/explore?search=NGD, with the chart settings configured for 1-minute candles. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
platform source field
polymarket.description → https://pythdata.app/explore?search=NGD 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/what-price-will-ng-hit-in-june-2026/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/what-price-will-ng-hit-in-june-2026.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("what-price-will-ng-hit-in-june-2026") |
| 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-JS51DK4PM9",
"slug": "what-price-will-ng-hit-in-june-2026",
"question": "Will Natural Gas (NG) hit a specific price level in June 2026?",
"category": "financials",
"tags": [
"financials",
"finance",
"commodities",
"natural-gas",
"energy-prices",
"2026"
],
"venues_covered": [
"polymarket"
],
"market_count": 14,
"cumulative_volume_usd": 29126,
"resolution_clarity_grade": "B",
"rcg_score": 80,
"rcg_caps": [
"uncommitted_illustrative"
],
"resolution_source": null,
"resolution_source_url": "https://pythdata.app/explore?search=NGD",
"arbitration_model": "uma_oracle",
"proposer_model": "managed_whitelist",
"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"
}
}
}