Market Trading Terminal · RC10
Key risk: Climate data revisions after initial publication
AI updated 7/2/2026, 6:30:22 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 |
| pricing_ensemble | 0 | 39% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
0%
ORYN Consensus
0%
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
2,718,382
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: 0-3
—
Resolution
2d
Decision snapshots
0
Price history
4 points
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 4 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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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 suggests a very low probability (0.25%) that Singapore's highest temperature on July 4, 2026, will be 25°C or below. Historical climate data for Singapore indicates this outcome is highly unlikely given typical July temperatures.
If the market resolves positively, it would indicate an unusually cool day for Singapore in early July, potentially due to unseasonable rainfall, cloud cover, or monsoon patterns disrupting normal temperature trends.
Given Singapore's tropical climate, July is typically hot and humid with average highs around 31-32°C, making a high of 25°C or below highly improbable without extreme anomalies like severe storms or prolonged cloud cover.
Regime: — · Confidence: 0%
Trade links and live readiness
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