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Export hourly Kalshi weather-market price candles for Austin
Created by
Eli J
Read the historical hourly candles for the Austin highest-temperature market KXHIGHAUS-26JUL12-T97 in the shown July 2026 window. The reviewed proof returned 35 rows; source responses determine actual counts.
Kalshi Weather Price Historydanthedataman/kalshi-weather-price-history
Record type
Row key (market:period:end)
Market ticker
Event ticker
+37 fieldsTextNumberBooleanListObject
Input
Market tickers:KXHIGHAUS-26JUL12-T97
Window start (UTC):2026-07-11T14:00:00Z
Window end (UTC):2026-07-13T05:59:00Z
Candle period:60
Output fields
Record type
Row key (market:period:end)
Market ticker
Event ticker
Series ticker
Event title
YES subtitle
Strike type (source text)
Market status
Market result
Settlement time (source text, UTC)
YES/LONG settlement payout (USD decimal string)
Expiration value (source settlement text)
Market detail route
Market detail received at (UTC)
Event settlement sources
Event received at (UTC)
Candle route
Historical cutoff (source text, UTC)
Period (minutes)
Period end (Unix seconds)
Period end (UTC)
Open price (USD decimal string)
High price (USD decimal string)
Low price (USD decimal string)
Close price (USD decimal string)
Mean price (USD decimal string)
Previous price (USD decimal string)
YES bid open (USD decimal string)
YES bid high (USD decimal string)
YES bid low (USD decimal string)
YES bid close (USD decimal string)
YES ask open (USD decimal string)
YES ask high (USD decimal string)
YES ask low (USD decimal string)
YES ask close (USD decimal string)
Volume (contracts, decimal string)
Open interest (contracts, decimal string)
Price currency
Quantity unit
Candles received at (UTC)
Sign up on Apify01
Create your Apify account to access the Kalshi Weather Price History.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
