Fresh weather data is only useful before the quote moves

New weather data arrives. The market quote has barely changed. That gap feels like an edge.

Maybe it is. First check whether your data is actually new and whether the market resolves from the same source.

Timestamp the entire chain

Record when the observation was measured, when the provider published it, when your process received it, and when your order could have reached the market. Those are four different moments.

A cached response can look fresh if you only log the download time. A revised observation can also differ from the value available to traders earlier.

Forecast confidence is not execution certainty

Suppose a hypothetical forecast shifts a temperature bucket from 25% to 35% while the executable ask is 30 cents. The estimate suggests positive expected value before costs. It does not guarantee the observation will land in that bucket.

Check uncertainty around the bucket boundaries, not just a single temperature point. Small model errors near a cutoff can move most of the probability into another outcome.

Then look at size. A favorable quote for a handful of shares does not justify extrapolating the same return to a large position.

Weather tools are most useful when their assumptions are visible. Measure the full delay, keep forecast distributions, and judge the idea over a series of events. One fast update proves very little.

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

Explore the markets: Open Polymarket (referral link).