Market Trading Terminal · RC10
Key risk: Unexpected volcanic activity reducing global temperatures
AI updated 7/2/2026, 9:49:44 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 |
| 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 | 21% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
100%
ORYN Consensus
100%
Signal Score
-0.4
Opportunity
0.4
Graph Relationships
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Simulated execution for this market
Quality score
49/100
Fill rate
100%
Executions
125
Avg slippage
4486 bps
Open positions
0
Latency
565ms
Platform-wide model improvement
Events
12,367,148
Trades learned
125
Strategies
5
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 -41.0¢
Entry: 97-100
—
Resolution
Past
Decision snapshots
12
Price history
90 points
Crowd-implied vs ORYN AI fair value over time, with decision markers
The prediction market overwhelmingly favors 2023 as the hottest year on record, with a 99.91% probability. This aligns with empirical data showing unprecedented global temperatures driven by climate change and El Niño conditions.
2023 is projected to surpass 2016 as the hottest year due to strong El Niño conditions, record-high ocean temperatures, and amplified greenhouse gas emissions. Early climate data (Jan-Jul 2023) already ranks it as the third-hottest on record, with August likely pushing it to the top.
While 2023 is favored to be the hottest, a late-season volcanic eruption or a sudden shift to La Niña could temporarily cool global temperatures, preventing it from surpassing 2016. However, historical volatility in such events makes this scenario unlikely.
Regime: — · Confidence: 0%
Trade links and live readiness
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