Market Trading Terminal · RC10
Key risk: Technical disruptions in data feeds (Pyth outages)
Calibrated 100% · raw 350% — adjusted by the learning loop
AI updated 7/1/2026, 10:15:30 PM
Microstructure, quotes, and decision memory
Live market activity from the aggregated feed. Two-sided quotes appear when an order book is available for this market.
Who contributed to this decision
| Provider | Score | Accuracy | On this market |
|---|---|---|---|
| fincept | 1 | — | Active |
| polymarket | — | — | Active |
| oryn_db | — | — | Active |
| mistral | — | — | Active |
| news | 1 | — | Global only |
| social | 1 | — | Global only |
| economic_calendar | 1 | — | Global only |
| trends | 1 | — | Global only |
| google_trends | 1 | — | Global only |
| pricing_ensemble | 0 | 44% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
45%
ORYN Consensus
48%
Signal Score
+3.5
Opportunity
2.4
Related markets and connected predictions
Simulated execution for this market
Quality score
50/100
Fill rate
100%
Executions
112
Avg slippage
5414 bps
Open positions
0
Latency
520ms
Platform-wide model improvement
Events
2,569,258
Trades learned
112
Strategies
4
Providers scored
9
Counterfactual strategy simulations
No replay comparisons for this market yet. Replay runs as markets resolve and accumulate snapshots. Replay lab →
LOW
EV 350.0¢
Entry: 42-48
—
Resolution
20h
Decision snapshots
0
Price history
11 points
This market will resolve to "Up" if the Close price for the Active Month of Natural Gas (NG) futures on July 2, 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 July 2, 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.
Crowd-implied vs ORYN AI fair value over time, with decision markers
The Natural Gas (NG) futures market on July 2, 2026, shows a slight bearish bias with a 48% probability of the price closing higher than the prior trading day. The resolution hinges on the daily price movement of the active month contract, adjusted for trading session transitions and potential contract rollovers.
A bullish scenario could materialize if geopolitical tensions disrupt supply chains, extreme weather events (e.g., hurricanes) reduce production, or unexpected OPEC+ production cuts tighten global gas inventories. Strong demand from Asia, particularly China, due to industrial recovery or LNG import spikes could also drive prices higher.
A bearish outcome may occur if global gas inventories remain high due to mild winter demand, increased LNG supply from the U.S. or Qatar, or economic slowdowns reducing industrial consumption. Regulatory changes, such as stricter environmental policies, could also dampen production incentives.
Regime: — · Confidence: 0%
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