While the core rule is clear, there is significant schedule uncertainty risk. The rule mentions 'Pending legal challenges' and a 'special election', with a clause resolving to 'No' if the vote doesn't happen by Nov 3, 2026. This dependency on court rulings and election scheduling increases the risk of cancellation or postponement, meaning the market could resolve based on procedural failure rather than voter sentiment.

Direct military conflict and ceasefire statuses between the US and Iran significantly impact global macro assets. Crude Oil is highly sensitive to Middle East supply risks and the Strait of Hormuz, meaning a ceasefire extension would drastically reduce geopolitical risk premiums. Concurrently, safe-haven assets like Gold and broader equity indices (S&P 500) would be directly moved by major shifts in market risk sentiment.

April 12, 2026 - April 14, 2026, the price of the 'April 21' option rebounded from 39c to around 65c, as market optimism renewed regarding an agreement before the final April 21 deadline. April 11, 2026 - April 14, 2026, the price of the 'April 14' option steadily dropped from 15c to 1c due to the approaching deadline with no substantive extension announcement, completely draining its time value. April 11, 2026 - April 12, 2026, the price of the 'April 21' option plunged from 73.5c to 39c, reflecting short-term negotiation setbacks or spreading pessimism at that time.

There is moderate risk. Resolution relies on a specific third-party tracker (xtracker) and has detailed rules about what counts (reposts, quotes, main feed replies). Additionally, deleted posts may count if they survive for around 5 minutes, which could cause the final figure to deviate from a direct manual count on X.

This is quite a novelty market. Before seeing this prompt, ordinary people would rarely seriously forecast or track the exact number of tweets from the White House over a specific week. It is a typical novelty bet based on social media activity metrics.

April 13, 2026 - April 14, 2026, the price of the '140-159' option surged from 61c to 97.6c, while the '160-179' option plummeted from 35c to 1.75c. This occurred because, with only a few hours remaining until expiration, the actual posting volume definitively locked into the 140-159 range, eliminating the possibility of higher frequency brackets. April 13, 2026 - April 13, 2026, the price of the '140-159' option surged from 61c to 93c, while the '160-179' option plummeted from 35c to 5.75c. This occurred because, with less than a day remaining, actual posting volume definitively locked into the 140-159 range, eliminating higher frequency possibilities. April 12, 2026 - April 13, 2026, the price of the '140-159' option surged from 65c to 82c, while the '160-179' option plummeted from 29.5c to 5.15c. This occurred because, with less than a day left, the actual posting volume nearly locked in the 140-159 range, eliminating the likelihood of higher frequency brackets. April 11, 2026 - April 13, 2026, the price of the '140-159' option surged from 41.5c to a peak of 73c before dropping to 61c, while the '160-179' option fell from 53.5c to 35c, and '120-139' fell from 11.9c to 1.15c. This was due to the actual posting volume becoming clearer as the weekend passed and the final day approached, causing the market to make final adjustments between the 140-159 and 160-179 brackets. April 10, 2026 - April 11, 2026, the price of the '140-159' option dropped from 50.5c to 43c, while '160-179' surged from 14.5c to 53.5c, as the posting frequency accelerated significantly before the weekend, pushing overall market expectations higher into the 160-179 bracket. April 9, 2026 - April 10, 2026, the price of the '120-139' option surged from 22.5c to 43.25c before pulling back to 28.15c, while the '140-159' option spiked from 31.5c to 50.5c. This was caused by further actual posting data showing a continued slowdown in posting pace, concentrating market expectations in lower brackets, followed by a slight correction. April 7, 2026 - April 9, 2026, the price of the '140-159' option surged from 15c to 31.5c, and the '120-139' option spiked from 2.6c to 22.5c. Concurrently, the '180-199' option plummeted from 34.5c to 20.5c, and '200+' dropped from 32.75c to 7.2c. This was caused by the release of actual posting data from the first few days of the period, which showed a much slower pace than anticipated, prompting capital to quickly rotate from extreme high-frequency brackets into the 120-159 median ranges. April 6, 2026 - April 7, 2026, the price of the '180-199' option surged from 16.5c to 34.5c, while the '200+' option jumped from 4.5c to 32.75c. This was driven by traders recalibrating expectations for higher posting frequencies as the measurement period approached. April 4, 2026 - April 5, 2026, the price of the '140-159' option plummeted from 42c to 13.5c as market sentiment and liquidity shifted toward higher post-volume brackets.

This is a highly specific daily local weather prediction. Aside from local residents or prediction market traders, ordinary people would absolutely not care about the highest temperature at Chengdu Shuangliu Airport on a random day in April, making it quite a novelty market.

April 13, 2026 - April 14, 2026, the price of the 26°C option surged from 34c to 85c, while the 25°C and 24°C options plummeted to near 0c. This was due to actual temperature observations on the settlement day exceeding previous forecast models, prompting the market to price in certainty based on real-time data from the airport monitoring station. April 12, 2026 - April 13, 2026, the price of the 24°C option fluctuated and rose from 22c to 31.5c, while the 25°C option plummeted from 44c to 21.5c before rebounding to 32c. This was due to slight adjustments in weather forecast models as the settlement date approached, causing the market to reassess probabilities between 24°C and 25°C.

There is a divergence between the market pricing (which overwhelmingly favors 26°C) and some mainstream weather forecast sites (which display an expected high of around 24°C for the day). This usually happens because specific airport weather stations (like ZUUU) often record slightly higher temperatures than broader city forecasts due to localized factors or the runway heat island effect. Prediction market participants likely have an information advantage, capturing these micro-climate differences or reacting to real-time observations [10, 11].