Highest temperature in Singapore on August 18?

According to the latest prediction market data for the query “Highest temperature in Singapore on August 18?”, traders have formed a strong consensus.

Currently, 33°C is dominating the market with an overwhelming 64.5% chance of winning. 32°C follows in second place at 29%, while 34°C sits in third with 5.5%. The betting volume for this specific market has already reached $49.2K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• 33°C (64.5%): Currently commanding the highest probability, 33°C is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 65¢, signaling a high degree of market conviction. This contract alone has generated $13.8K in volume.

🥈 Tier 2: The Primary Challengers

• 32°C (29%): Positioned as the most viable alternative, 32°C maintains a 29% chance of resolving true. Its “Buy Yes” shares currently trade at 29¢.
• 34°C (5.5%): Sitting in third place with a 5.5% probability, the market shows measured skepticism toward 34°C, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~1%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes 31°C (2%), 36°C (0.2%), and 28°C or below (0.1%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like 29°C are still attracting notable interest.

This market will resolve based on the highest temperature recorded in the 'Daily Observations' table on Weather Underground, not the figure displayed in the 'Day High & Low' summary section; in the event of any discrepancy between the two, the Daily Observations table shall be the primary resolution source not the Day High & Low section.

This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 18 Aug '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.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome 33°C currently trades at 64.5%, but our AI places its Fair Value at just 41.9%. This creates a large negative EV Gap of -22.6%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies 32°C as the premium value opportunity on the board. While the market only assigns it a 29% trading probability, our AI’s Fair Value assessment sits at 32.8% — yielding an impressive +3.8% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include 34°C (EV Gap: +1.3%) and 30°C (EV Gap: +1.2%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.