Highest temperature in Munich on September 16?

According to the latest prediction market data for the query “Highest temperature in Munich on September 16?”, traders have formed a strong consensus.

Currently, 26°C is dominating the market with an overwhelming 42% chance of winning. 25°C follows in second place at 27%, while 27°C sits in third with 20.5%. The betting volume for this specific market has already reached $77.2K, 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

• 26°C (42%): Currently commanding the highest probability, 26°C is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 42¢, signaling a high degree of market conviction. This contract alone has generated $10.3K in volume.

🥈 Tier 2: The Primary Challengers

• 25°C (27%): Positioned as the most viable alternative, 25°C maintains a 27% chance of resolving true. Its “Buy Yes” shares currently trade at 27¢.
• 27°C (20.5%): Sitting in third place with a 20.5% probability, the market shows measured skepticism toward 27°C, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~10.5%)

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 24°C (7%), 23°C or below (5.5%), and 28°C (4%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like 29°C are still attracting notable interest.

This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Munich Airport Station in degrees Celsius on 16 Sep '26.

The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=eddm

If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.

In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.

To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.

This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.

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 26°C currently trades at 42%, but our AI places its Fair Value at just 33.1%. This creates a large negative EV Gap of -8.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies 24°C as the premium value opportunity on the board. While the market only assigns it a 7% trading probability, our AI’s Fair Value assessment sits at 15.6% — yielding an impressive +8.6% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include 23°C or below (EV Gap: +2.9%) and 30°C (EV Gap: +1%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.