Market Trading Terminal · RC10
Key risk: Climate change-induced temperature anomalies
AI updated 6/28/2026, 8:45:14 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 |
| mistral | — | — | Active |
| polymarket | — | — | 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
1%
ORYN Consensus
1%
Signal Score
+0.2
Opportunity
0.2
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
1,074,621
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 20.0¢
Entry: 0-4
—
Resolution
21h
Decision snapshots
0
Price history
6 points
This market will resolve to the temperature range that contains the highest temperature recorded at the London City Airport Station in degrees Celsius on 29 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 London City Airport Station, available here: https://www.wunderground.com/history/daily/gb/london/EGLC. 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 Celsius (eg, 9°C). 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 market implies a low probability (0.80%) that London's highest temperature on June 29, 2026, will reach 22°C, based on historical weather patterns and seasonal trends. Historical data from London City Airport suggests temperatures rarely exceed 22°C in late June.
A bullish outcome could occur if an unexpected heatwave or unusual weather pattern brings sustained high temperatures to London in late June. Unseasonably warm air masses from continental Europe or prolonged anticyclonic conditions could push temperatures above 21°C.
A bearish outcome is more likely given London's maritime climate, where late June temperatures typically range between 15-21°C. Persistent cloud cover, oceanic influences, or unseasonable rainfall would suppress maximum temperatures below 22°C.
Regime: — · Confidence: 0%
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