Market Trading Terminal · RC10
Key risk: Data source reliability (Wunderground historical records)
Calibrated 100% · raw 850% — adjusted by the learning loop
AI updated 7/1/2026, 6:15:40 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 | 50% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
33%
ORYN Consensus
25%
Signal Score
-8.5
Opportunity
6.1
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
2,293,870
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 -850.0¢
Entry: 30-36
—
Resolution
2d
Decision snapshots
0
Price history
7 points
This market will resolve to the temperature range that contains the highest temperature recorded at the Ninoy Aquino International Airport 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 Ninoy Aquino International Airport Station, available here: https://www.wunderground.com/history/daily/ph/manila/RPLL. 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 predicts a 24.5% chance that Manila's highest temperature on July 3, 2026, will reach 33°C. Historical climate data and seasonal trends suggest this is a plausible but not guaranteed outcome.
July is typically one of the hottest months in Manila, with average highs around 31-32°C. A 33°C peak aligns with recent climate trends of increasing temperatures in the Philippines, driven by global warming and urban heat island effects.
Manila's July climate is influenced by monsoon patterns, which can introduce cloud cover and rainfall, suppressing peak temperatures. Additionally, localized weather anomalies or data revisions may lower the recorded high below 33°C.
Regime: — · Confidence: 0%
Trade links and live readiness
No direct venue links for this market. ORYN exclusive markets are intelligence-only.
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