Market Trading Terminal · RC10
Key risk: Revisions to historical temperature data post-resolution
AI updated 6/29/2026, 3:16:10 AM
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 |
| oryn_db | — | — | Active |
| polymarket | — | — | 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 |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
10%
ORYN Consensus
9%
Signal Score
-0.5
Opportunity
0.4
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
1,386,132
Trades learned
112
Strategies
4
Providers scored
8
Counterfactual strategy simulations
No replay comparisons for this market yet. Replay runs as markets resolve and accumulate snapshots. Replay lab →
LOW
EV -50.0¢
Entry: 6-12
—
Resolution
1d
Decision snapshots
0
Price history
1 points
This market will resolve to the temperature range that contains the highest temperature recorded at the LaGuardia Airport Station in degrees Fahrenheit on 30 Jun '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the LaGuardia Airport Station, available here: https://www.wunderground.com/history/daily/us/ny/new-york-city/KLGA. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Fahrenheit (eg, 21°F). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Crowd-implied vs ORYN AI fair value over time, with decision markers
The prediction market for NYC's highest temperature on June 30, 2026, stands at 9.50%, indicating low probability of the temperature falling within the 92-93°F range. Historical data and seasonal trends suggest this outcome is unlikely.
Warmer-than-average late June temperatures, influenced by persistent high-pressure systems or early-season heatwaves, could push the daily high into the 92-93°F range. Anomalous atmospheric conditions, such as a strong Bermuda High, may also contribute to elevated temperatures.
Cooler-than-average conditions due to late-season weather patterns, such as increased cloud cover or onshore winds from the Atlantic, could suppress temperatures below the target range. Climate variability or unexpected weather disruptions may also play a role.
Regime: — · Confidence: 0%
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