
Highest temperature in London on July 24?
Core Summary
According to the latest prediction market data for the query “Highest temperature in London on July 24?”, traders have formed a strong consensus.
Currently, 28°C is dominating the market with an overwhelming 38.5% chance of winning. 29°C follows in second place at 37.5%, while 27°C sits in third with 17.5%. The betting volume for this specific market has already reached $62.2K, reflecting intense industry interest.
Breakdown of Competitive Tiers
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
- 28°C (38.5%): Currently commanding the highest probability, 28°C is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 39¢, signaling a high degree of market conviction. This contract alone has generated $14.1K in volume.
🥈 Tier 2: The Primary Challengers
- 29°C (37.5%): Positioned as the most viable alternative, 29°C maintains a 37.5% chance of resolving true. Its “Buy Yes” shares currently trade at 38¢.
- 27°C (17.5%): Sitting in third place with a 17.5% 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 ~6.5%)
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 30°C (6%), 26°C (2.5%), and 25°C (1.2%).
- Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like 31°C are still attracting notable interest.
Comprehensive Order Book & Pricing Dashboard
The table below outlines the full breakdown of contract prices, probabilities, and market depth for all listed outcomes in this prediction pool:
| Rank | Predicted Outcome | Win Probability | Trading Volume | Buy Yes (Cost) | Buy No (Cost) |
|---|---|---|---|---|---|
| 1 | 28°C | 38.5% | $14.1K | 39¢ | 62¢ |
| 2 | 29°C | 37.5% | $12.8K | 38¢ | 63¢ |
| 3 | 27°C | 17.5% | $8.7K | 18¢ | 83¢ |
| 4 | 30°C | 6.0% | $6.5K | 6¢ | 94¢ |
| 5 | 26°C | 2.5% | $4.3K | 2¢ | 98¢ |
| 6 | 25°C | 1.1% | $5.1K | 1¢ | 99¢ |
| 7 | 31°C | 0.7% | $4.1K | 1¢ | 99¢ |
| 8 | 24°C or below | 0.5% | $3.7K | 1¢ | 100¢ |
| 9 | 32°C | 0.1% | $1.5K | 0¢ | 100¢ |
| 10 | 33°C | 0.1% | $720 | 0¢ | 100¢ |
| 11 | 34°C or higher | 0.1% | $722 | 0¢ | 100¢ |
Result Rules
This market will resolve to the temperature range that contains the highest temperature recorded at the London City Airport Station in degrees Celsius on 24 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 London City Airport Station, available here: https://www.wunderground.com/history/daily/gb/london/EGLC.
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.
AI Valuation Analysis: Finding Market Mispricings & EV Gaps
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 29°C currently trades at 37.5%, but our AI places its Fair Value at just 28.3%. This creates a large negative EV Gap of -9.2%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
- The Best Value Play (Highest EV) Our model identifies 33°C as the premium value opportunity on the board. While the market only assigns it a 0.2% trading probability, our AI’s Fair Value assessment sits at 19% — yielding an impressive +18.9% EV Gap.
- Under-the-Radar Dark Horses Other notable discrepancies include 32°C (EV Gap: +17.6%) and 34°C or higher (EV Gap: +15.9%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.
| Market | Trade Value | Fair Value | EV Gap |
|---|---|---|---|
| 28°C | 38.5% | 33.8% | -4.7% |
| 29°C | 37.5% | 28.3% | -9.2% |
| 27°C | 17.5% | 17.6% | +0.1% |
| 30°C | 6.0% | 8.4% | +2.4% |
| 26°C | 2.5% | 9.8% | +7.3% |
| 25°C | 1.1% | 2.2% | +1.0% |
| 31°C | 0.7% | 1.7% | +1.0% |
| 24°C or below | 0.5% | 1.3% | +0.8% |
| 32°C | 0.1% | 17.7% | +17.6% |
| 33°CBest EV | 0.1% | 19.0% | +18.9% |
| 34°C or higher | 0.1% | 16.0% | +15.9% |
Trade Activities
Here is the trade activities for this event.
Jul 23, 2026
- 08:01 AMLElexth$1.00
Bought 50 Yes for Will the highest temperature in London be 26°C on July 24? at 0.02
- 08:00 AMDRdragose$1.00
Bought 2.439023 Yes for Will the highest temperature in London be 28°C on July 24? at 0.41
- 08:00 AMLElexth$1.00
Bought 100 Yes for Will the highest temperature in London be 25°C on July 24? at 0.01
- 08:00 AMPRpredictotemp$144.87
Bought 241.45 No for Will the highest temperature in London be 28°C on July 24? at 0.6
- 07:58 AM1D1DVSBSTD$2.01
Bought 2.01 No for Will the highest temperature in London be 31°C on July 24? at 1
- 07:58 AM1D1DVSBSTD$10.51
Bought 10.51 No for Will the highest temperature in London be 24°C or below on July 24? at 1
- 07:58 AM1D1DVSBSTD$18.02
Bought 18.018017 No for Will the highest temperature in London be 24°C or below on July 24? at 1
- 07:58 AM1D1DVSBSTD$14.07
Bought 14.0702 No for Will the highest temperature in London be 25°C on July 24? at 1
- 07:58 AM1D1DVSBSTD$10.00
Bought 10.101009 No for Will the highest temperature in London be 26°C on July 24? at 0.99
- 07:58 AM1D1DVSBSTD$4.00
Bought 4.819276 No for Will the highest temperature in London be 27°C on July 24? at 0.83
- 07:57 AMEMEMOSCapital$1.97
Bought 5.19 Yes for Will the highest temperature in London be 29°C on July 24? at 0.38
- 07:56 AMROrownd$4.96
Bought 7.75 No for Will the highest temperature in London be 29°C on July 24? at 0.64
Whales Wallets That Are Betting on This Event
Frequently Asked Questions
What is the current market consensus on "Highest temperature in London on July 24?"?
As of the latest update, 28°C leads the field as the frontrunner with a 38.5% win probability, followed by 29°C at 37.5% and 27°C at 17.5%. Total trading volume for this pool has reached $62.2K, indicating deep liquidity and high trader engagement.
How does the AI Fair Value differ from the live Market Trade Value?
The live Market Trade Value reflects public sentiment, order-book momentum and speculative capital. Our AI Fair Value is computed independently with quantitative models that strip out hype to focus on underlying data. When the two diverge, it creates an EV Gap, flagging where the market may be mispricing an outcome.
Which outcome represents the highest Expected Value (EV) right now?
Our latest run flags 33°C as the most significant mispricing. While the market trades it at a 0.2% implied probability, our AI calculates a Fair Value of 19% — an Expected Value gap of +18.9%, making it the premium value play in this pool.
Is the market consensus overreacting to any specific outcome?
Yes — our data suggests a notable overreaction around 29°C. The crowd has pushed its live Trade Value up to 37.5%, yet our Fair Value assessment puts its real likelihood at just 28.3%, a negative EV Gap of -9.2% that signals the contract is overpriced.
Are there any high-value dark horse options hidden in the long-tail data?
Absolutely. Beyond the headline outcomes, our model highlights under-the-radar potential in lower-ranked options. 32°C holds a positive EV Gap of +17.6%, and 34°C or higher shows +15.9%. These contracts are discounted by live order books despite stronger quantitative backing.
