How Kalshi Weather Markets Work: A Complete Guide

What Is Kalshi?

Kalshi is a US-regulated prediction market exchange, licensed and regulated by the Commodity Futures Trading Commission (CFTC). That regulatory status matters: Kalshi is not an offshore gambling site or an unregulated crypto exchange. It operates under the same legal framework as futures markets, which means traders in all 50 states can participate legally.

On Kalshi, you trade binary event contracts. A binary contract pays $1 if a specific event occurs and $0 if it does not. The market price of a contract — say, $0.72 — is the market's implied probability that the event will happen. Buy YES at $0.72, and you win $0.28 per contract if it settles YES, lose $0.72 if it settles NO.

How Weather Contracts Are Structured

Weather contracts on Kalshi follow a consistent structure: a city, a weather metric, a threshold, and a date. For example:

Kalshi currently covers temperature contracts (daily highs and lows) for approximately 14 major US cities including Washington DC, New York, Chicago, Houston, Los Angeles, Miami, and others. Contracts are issued for single days, with new series opening several days in advance.

How Settlement Works

Settlement is based on official weather station data from NOAA's Automated Surface Observing System (ASOS) network. The specific station used for each city is defined in the contract specifications. When a contract expires, Kalshi pulls the recorded high or low temperature from the designated station and settles all contracts accordingly.

This is important: there is no judgment call and no ambiguity in settlement. Either the temperature hit the threshold or it did not. Official government sensor data from a specific ICAO station code determines the outcome. This makes weather contracts fundamentally different from event contracts that depend on interpretation.

Bid-Ask Spread, Fees, and Liquidity

Like any exchange, Kalshi weather markets have a bid-ask spread. Active contracts for major cities on popular dates have tight spreads — sometimes just a penny or two wide. Less active contracts, particularly far-dated or unusual threshold contracts, can have spreads of $0.05 or wider. Wide spreads directly eat into your edge.

Kalshi charges fees on winning trades only. The fee is typically a small percentage of profits. When calculating whether a trade is worth entering, fees must be factored into the expected value calculation. A bot that ignores fees will consistently overstate its edge.

Volume matters too. A contract with almost no trading volume may show a favorable price, but you may not be able to fill a meaningful position without moving the market against yourself. The Predict & Profit bot requires minimum volume thresholds before entering a trade.

Why Weather Is Ideal for Algorithmic Trading

Three properties make weather prediction markets particularly well-suited to algorithmic approaches:

Objective settlement. Temperature is measured by a specific government sensor at a specific location. There is no ambiguity, no committee vote, no interpretation. The model either predicted the right side or it did not.

No insider information. The atmosphere does not have insiders. NOAA's weather model data is public. Every trader has access to the same NWS forecast. The edge comes from using that data more rigorously — computing ensemble probabilities instead of reading a single forecast — not from having secret data.

Repeatable structure. Every weather contract has the same format: city, metric, threshold, date. A bot can evaluate all 14 cities × all available dates × both high and low contracts using the same probability model. One well-calibrated system covers the entire market.

These properties make weather markets a natural fit for the kind of systematic, model-driven approach that Predict & Profit uses. See the full Kalshi weather trading bot guide for the complete implementation breakdown.