Temperature and weather markets settle on measured, published data — not opinion. When a market's price disagrees with what multiple independent forecasts and live observations say, that disagreement is measurable.
Most prediction markets settle on human events. Weather markets settle on an objective reading from a specific station at a specific time. That makes them uniquely suited to a data-driven approach: instead of guessing sentiment, Zynkr compares the market price against the actual physics of the day.
The catch is that not all data is equal. Different sources round differently, update at different speeds and sometimes read a different station than the one the market settles on. The edge lives in resolving those discrepancies before the market does.
Forecast models, official observations and live station feeds are pulled together — never a single provider.
Sources are cross-checked against each other and against the exact station the market resolves on.
When the market price drifts from that consensus, the market — not the weather — is the thing that's wrong.
// Which sources, how they're weighted, the timing windows and the way ties are broken are proprietary. This page describes the method, not the recipe.
Verified onchain. The highest-conviction weather signals have historically been the strongest of the whole system — but rankings and figures are references from past markets, and every live opportunity still depends on price, liquidity and timing.
Weather signals are pushed to Telegram the moment a temperature market drifts from the data consensus.