Your weather app and the contract may watch different thermometers

A city has more than one temperature. An airport reading, a downtown sensor, and a consumer app can all disagree without any of them being broken.

That matters when a contract settles from one named station.

Begin with the station

For a Tokyo-style temperature study, first identify the exact station in the contract. Then collect the observation series, its local timezone, and the period used to calculate the daily maximum.

Wind direction, cloud cover, and sunshine can help form a view. They do not replace the specified observation source. An interesting airport report is useful only when you understand how it relates to the settlement station.

Keep a small notebook

Record the latest reading, forecast range, remaining local daylight, and the bucket boundaries. Add the source link and retrieval time to each observation.

Now write two ways the forecast could fail. A sea breeze arriving earlier than expected and a patch of cloud can matter more than a confident point estimate.

An illustrative one-degree forecasting error can flip a narrow bucket entirely. That is why the distribution around a boundary matters.

Small positions limit the cost of learning but do not make an incorrect contract interpretation safe. Paper observations are often enough to test the workflow first.

The cleanest weather edge begins with boring questions: which sensor, which day, and which rule?

Further reading: Prices and order books · Resolution rules · Current fees.

Explore the markets: Open Polymarket (referral link).