Kalshi NYC high temperature odds with NWS forecast

Created by

NeverEmpty

Actor

Kalshi Weather Markets API - Temperature Odds & NWS Forecast

Open Kalshi markets on the daily high in New York City (KXHIGHNY, settled on Central Park), one row per temperature band: yes bid and ask, last price, volume, open interest and close time, next to the NWS forecast high for Central Park and whether it falls inside each band.

Try for free

Kalshi Weather Markets API - Temperature Odds & NWS Forecastneverempty/kalshi-weather-markets-api

seriesTicker

marketTicker

yesLabel

targetDate

+16 fields

Input

Series tickers:KXHIGHNY

Also read every Kalshi weather series of the chosen types:false

Market status:open

Attach the NWS forecast of the settlement station:true

Maximum market rows:1000

Monitoring mode: return only markets that changed since the last run:false

Forget what was remembered and start over:false

Output fields

seriesTicker

marketTicker

yesLabel

targetDate

marketStatus

yesBid

yesAsk

lastPrice

volume

openInterest

closeTime

result

settlementValue

nwsStationId

nwsForecastForThisMarketF

nwsForecastInYesRange

nwsForecastHighF

nwsForecastLowF

status

note

How it works

Sign up on Apify or log in

The Kalshi Weather Markets API - Temperature Odds & NWS Forecast Actor is ready to run with the inputs already set for "Kalshi NYC high temperature odds with NWS forecast". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Kalshi NYC high temperature odds with NWS forecast" task

The Kalshi Weather Markets API - Temperature Odds & NWS Forecast Actor will start running based on the input automatically. You can also change all the input fields, like series tickers, also read every kalshi weather series of the chosen types, and more, to match your specific use case.

Receive the "Kalshi NYC high temperature odds with NWS forecast" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as seriesticker, marketticker, yeslabel, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Kalshi NYC high temperature odds with NWS forecast" task via API.