Kalshi KXWEATHER: Daily high temperature (city ladders) — order book & trade data
35.2K book and trade events for Kalshi's daily high temperature (city ladders) markets, recorded live since 2026-10-01 — about 1,408 events a day.
Coverage
KXWEATHER Weather data coverage
What is recorded, how often it updates and how much there is.
Recording since
2026-10-01
25 days so far · no backfill
Events recorded
35,200
≈ 35.2K as of 2026-10-25
Avg events / day
1,408
book snapshot · book delta · trade
Update frequency
Order-book snapshots, deltas and trades streamed in real time
Daily activity · last 25 days
Indicative daily event volume, last 25 days to 2026-10-25. Shape modeled from collector stats; mean matches the average events/day above.
About this market
What is KXWEATHER Weather?
KXWEATHER covers Kalshi's city high-temperature ladders — will the official daily high reach a given number of degrees? — with a fresh ladder almost every day of the year. AymarData has been recording the KXWEATHER series since 2026-10-01 and holds 35.2K events so far — about 1,408 a day. History is forward-only; we record live and do not backfill Kalshi.
Settlement uses National Weather Service readings for the listed station, so forecast updates are the main information source. Trading follows the forecast cycle: prices jump when new model runs arrive in the morning and again in the afternoon as the day's observations come in.
Weather markets are the closest thing to a clean forecasting experiment: the outcome is observable, the information flow is public, and there is a daily sample. Use the order-book history to measure how quickly prices absorb forecast updates and observations.
What moves KXWEATHER
- Morning and midday forecast-model updates
- Cloud cover and marine-layer surprises that cap the high
- The running observed temperature, which pins the outcome by mid-afternoon
Schema
KXWEATHER Weather fields and sample rows
The same columns are returned by the API and in Parquet and CSV files.
| Field | Type | Description |
|---|---|---|
| ts_ms | int64 | Exchange event time, Unix milliseconds |
| ticker | string | Full Kalshi market ticker |
| event_type | string | book_snapshot | book_delta | trade |
| side | string | buy / sell on trades; bid / ask on book events |
| yes_bid | number | Best YES bid, 0–1 dollars |
| yes_ask | number | Best YES ask, 0–1 dollars |
| volume | int64 | Contracts traded or resting at the level |
Sample rows
| ts_ms | ticker | event_type | side | yes_bid | yes_ask | volume |
|---|---|---|---|---|---|---|
| 1792951214923 | KXWEATHER-NYC-26OCT26-T58 | book_snapshot | bid | 0.88 | 0.91 | 3013 |
| 1792951215485 | KXWEATHER-NYC-26OCT26-T60 | trade | buy | 0.66 | 0.69 | 3001 |
| 1792951216875 | KXWEATHER-NYC-26OCT26-T62 | book_delta | ask | 0.38 | 0.41 | 2115 |
Illustrative rows for the KXWEATHER series; tickers follow Kalshi's naming and prices are YES quotes in dollars (0–1).
Code
Pull KXWEATHER Weather in Python, cURL or MCP
Market id: KXWEATHER-NYC-26OCT26-T58. Export AYMARDATA_API_KEY from your dashboard, then run the Python requests example.
import os
import requests
API = "https://api.aymardata.com/v1"
KEY = os.environ["AYMARDATA_API_KEY"] # export AYMARDATA_API_KEY=ad_live_…
H = {"Authorization": f"Bearer {KEY}", "User-Agent": "aymardata-docs/1.0"}
# KXWEATHER: ten minutes of trades and book updates for one contract
trades = requests.get(
f"{API}/trades",
headers=H,
params={
"source": "kalshi",
"market": "KXWEATHER-NYC-26OCT26-T58",
"start": "2026-10-25T17:55:00Z",
"end": "2026-10-25T18:05:00Z",
"limit": 500,
},
timeout=30,
).json()["data"]
last = trades[-1]
print(last["ticker"], last["yes_bid"], last["yes_ask"])
book = requests.get(
f"{API}/book",
headers=H,
params={
"source": "kalshi",
"market": "KXWEATHER-NYC-26OCT26-T58",
"at": "2026-10-25T18:00:00Z",
"depth": 10,
},
timeout=30,
).json()
print(book.get("spread"), len(trades))FAQ
KXWEATHER Weather: common questions
What is the settlement source for KXWEATHER?
The National Weather Service's official daily maximum for the contract's station. Confirm the station and rules in the contract terms when you build a settlement model; observations are the final arbiter.
When is KXWEATHER most active?
Around forecast updates and after midday, when observed temperatures start to determine the outcome. The data shows price steps aligned with those moments.
What moves KXWEATHER prices?
Morning and midday forecast-model updates; cloud cover and marine-layer surprises that cap the high; and the running observed temperature, which pins the outcome by mid-afternoon.
How much KXWEATHER history is available?
Recording began 2026-10-01 and is forward-only. At the time of this page that is 25 days, 35.2K events and about 1,408 events a day.
How do I query KXWEATHER data with the API?
Use market=<full ticker> such as KXWEATHER-NYC-26OCT26-T58 with source=kalshi on /v1/trades or /v1/book, or ask the MCP server for the series by name. The snippets on this page are ready to run with your API key.
Backtest KXWEATHER Weather with real tick data
Get an API key, pull your first window and join it with the other sources in the catalog.