Go to example tasks

Export hourly Kalshi weather-market price candles for Austin

Read hourly candles for Austin market KXHIGHAUS-26JUL12-T97 from July 11 at 14:00 UTC through July 13 at 05:59 UTC, 2026. Prices retain source decimal strings; source responses determine row counts.

Try for free
Kalshi Weather Markets | Price History API
Kalshi Weather Markets | Price History APIdanthedataman/kalshi-weather-price-history
Record type
Row key (market:period:end)
Market ticker
Event ticker
+37 fields
Text
Number
Boolean
List
Object

Input

Market tickers(required):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)

How it works

Sign up on Apify or log in

The Kalshi Weather Markets | Price History API Actor is ready to run with the inputs already set for "Export hourly Kalshi weather-market price candles for Austin". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Export hourly Kalshi weather-market price candles for Austin" task

The Kalshi Weather Markets | Price History API Actor will start running based on the input automatically. You can also change all the input fields, like market tickers, window start (utc), and more, to match your specific use case.

Receive the "Export hourly Kalshi weather-market price candles for Austin" 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 record type, row key (market:period:end), market ticker, 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 "Export hourly Kalshi weather-market price candles for Austin" task via API.

Image

Integrate "Export hourly Kalshi weather-market price candles for Austin" into your workflow

Connect "Export hourly Kalshi weather-market price candles for Austin" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay