Market Trading Terminal · RC10
Key risk: Anomalous weather systems (e.g., polar vortex intrusion)
AI updated 7/1/2026, 5:16:52 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 |
| 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 | 50% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
4%
ORYN Consensus
4%
Signal Score
0.0
Opportunity
0.0
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
2,274,834
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 0.0¢
Entry: 1-7
—
Resolution
2d
Decision snapshots
0
Price history
1 points
This market will resolve to the temperature range that contains the highest temperature recorded at the Amsterdam Airport Schiphol Station in degrees Celsius on 3 Jul '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 Amsterdam Airport Schiphol Station, available here: https://www.wunderground.com/history/daily/nl/schiphol/EHAM. 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 assigns a 4% probability to Amsterdam Schiphol recording a high temperature of exactly 17°C on July 3, 2026, based on historical climatological data for the region. This is significantly below the expected mean for early July, suggesting low market confidence in this specific outcome.
A high of 17°C would require unusually cool conditions for Amsterdam in early July, potentially driven by persistent cloud cover, maritime influence, or an anomalous cold snap. Such conditions could occur if a low-pressure system stalls over the North Sea, bringing cooler air from the Atlantic. Historical outliers (e.g., 2015's record low of 15°C on July 3) demonstrate this is not impossible, though rare.
Climatologically, Amsterdam's average high in early July is around 22-23°C, with 17°C being 5-6°C below normal. The market's low probability reflects the unlikelihood of sustained cool conditions in mid-summer, especially given urban heat island effects and regional warming trends. Persistent high pressure or a heatwave would make 17°C highly improbable.
Regime: — · Confidence: 0%
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