On April 28, Ankara's daily high temperature will resolve four linked prediction markets on Polymarket Trade, each specifying a different outcome: 13°C or below, 14°C, 15°C, and 22°C. These markets are grouped together because they all measure the same underlying variable—the maximum temperature in Ankara on a single day—but partition the outcome space into distinct ranges. By comparing the implied probabilities across these four contracts, observers can construct a detailed picture of where market participants expect the actual temperature to settle. What makes these linked markets valuable is the way their prices interact. When one outcome trades at elevated probability, competing outcomes should trade at correspondingly lower levels. Deviations between related markets often reveal information asymmetries or expose disagreement about the most likely scenario. Each market price reflects an aggregate forecast from traders with varying levels of meteorological expertise, from casual observers checking weather apps to dedicated forecasters analyzing atmospheric models. To interpret these prices meaningfully, consider the seasonal context and weather dynamics at play. Late April in Ankara typically falls within spring, when temperature variability can be significant due to shifting air masses and variable cloud cover. Markets implying higher probabilities for cooler outcomes suggest traders expect cool-air incursions, while elevated prices for 22°C indicate expectations of warmer conditions. The one-degree precision of these markets lets you estimate not just the single most probable temperature, but the full range of outcomes the market considers plausible. As you review the prices, note the spread between bid and ask prices and the depth of orders at each level. Tighter spreads and deeper order books generally signal higher confidence and more efficient price discovery, while wider gaps may reflect genuine uncertainty. Comparing current market probabilities against historical forecasting accuracy in previous weather events can also help you calibrate whether prices seem reasonable relative to the inherent unpredictability of weather prediction.