TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 12, 5:00 PM EST
Polymarket
This market will resolve to "Up" if the Close price for the Active Month of Natural Gas (NG) futures on June 12, 2026 is higher than the Close price for the Active Month of Natural Gas futures on the most recent prior trading day. This market will resolve to "Down" if the Close price for the Active Month of Natural Gas (NG) futures on June 12, 2026 is lower than the Close price for the Active Month of Natural Gas futures on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless Friday were not a trading day under the applicable trading-hours schedule, in which case it would refer to the next most recent prior trading day. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. Closing prices will be used exactly as published by Pyth, without rounding. If the two specified closing prices are exactly equal, if the Active Month contract does not trade at all during the relevant trading session, or if the listed date is not a trading day under the applicable trading-hours schedule, the market will resolve 50-50. For the purposes of this market, trading days will be determined according to the applicable trading hours schedule for the underlying market. 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. 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. 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). The trading session for a given business day typically begins at 6:00 PM ET on the prior calendar date. 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. Both closing prices will reference the same underlying contract, specifically the contract that is considered the Active Month at the end of the trading session on the specified date. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official settlement price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candles for the Active Month of Natural Gas futures available at https://pythdata.app/explore?search=NGD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
This market will resolve to "Up" if the Close price for the Active Month of Natural Gas (NG) futures on June 12, 2026 is higher than the Close price for the Active Month of Natural Gas futures on the most recent prior trading day. This market will resolve to "Down" if the Close price for the Active Month of Natural Gas (NG) futures on June 12, 2026 is lower than the Close price for the Active Month of Natural Gas futures on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless Friday were not a trading day under the applicable trading-hours schedule, in which case it would refer to the next most recent prior trading day. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. Closing prices will be used exactly as published by Pyth, without rounding. If the two specified closing prices are exactly equal, if the Active Month contract does not trade at all during the relevant trading session, or if the listed date is not a trading day under the applicable trading-hours schedule, the market will resolve 50-50. For the purposes of this market, trading days will be determined according to the applicable trading hours schedule for the underlying market. 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. 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. 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). The trading session for a given business day typically begins at 6:00 PM ET on the prior calendar date. 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. Both closing prices will reference the same underlying contract, specifically the contract that is considered the Active Month at the end of the trading session on the specified date. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official settlement price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candles for the Active Month of Natural Gas futures available at https://pythdata.app/explore?search=NGD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
Prediction market odds often diverge from traditional analyst forecasts because they aggregate real-money bets from thousands of traders rather than relying on a small group of experts. Analysts typically publish point estimates or ranges based on models and historical data, while this market reflects live consensus from participants who face direct financial consequences for being wrong. When major energy reports or weather forecasts are released, prediction markets often adjust faster than analyst consensus. Comparing the two can reveal where the crowd sees asymmetric risk that traditional models may have missed.
On Polymarket, traders set prices by buying and selling shares that represent each outcome—natural gas up or down on June 12. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the crowd's probability estimate, ranging from near zero to near one dollar. Liquidity pools or order books allow traders to enter and exit positions continuously. As new data arrives—inventory reports, weather patterns, or geopolitical events—traders adjust their positions, moving the price and signaling shifting expectations about the likely direction of natural gas prices.
This market resolves around Jun 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on whether natural gas prices moved up or down during the specified period. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. The exact price reference point and time window are established at market creation to ensure objective, reproducible settlement.
Natural gas prices are highly sensitive to weekly inventory reports from the U.S. Energy Information Administration, which can trigger sharp repricing in this market. Weather forecasts—especially predictions of extreme heat or cold—drive demand expectations and shift trader positioning. Geopolitical developments affecting liquefied natural gas exports, production disruptions, or pipeline maintenance can also move odds significantly. Broader energy market moves, such as crude oil price swings or renewable energy announcements, may influence natural gas sentiment. Real-time trading activity itself can amplify volatility as large positions are entered or exited near the resolution date.