What is the current probability for "Highest temperature in San Francisco on Jul 17, 2026?"?

Current Kalshi odds for "Highest temperature in San Francisco on Jul 17, 2026?": 68° to 69° 75%, 70° to 71° 15%, 72° or above 3% (top 3 of 6 outcomes), refreshed continuously.

When does this market resolve?

This event resolves on 7/24/2026.

How is the probability calculated?

pdata reads the latest market prices directly from kalshi's public API and normalizes them to a 0-100 probability scale. See https://pdata.world/methodology for details on per-platform conventions.

Where can I get this data programmatically?

The JSON endpoint is https://api.pdata.world/api/v1/events/kalshi/KXHIGHTSFO-26JUL17. An MCP server with 9 tools is available at https://api.pdata.world/mcp. Full agent guide: https://pdata.world/agents.md.

opentrade on Kalshi

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event6 outcomes

Highest temperature in San Francisco on Jul 17, 2026?

·Climate and Weather·ends Jul 24, 2026

vol cum

$36.7k

vol 24h

$33.3k

outcomes

ends

Jul 24, 2026

outcomesclick to inspect →

showing 5 of 6

marketselected outcome

68° to 69°

rank #1

United States

75¢

▲ 61.0pp

24h change

vol cum

$7.6k

vol 24h

$7.5k

spread

0.01

ends

Jul 24, 2026

If the maximum temperature recorded at San Francisco for Jul 17, 2026, is between 68-69° fahrenheit according to the National Weather Service's Climatological Report (Daily), then the market resolves to Yes.

timeline

opened · Jul 16, 2026opencloses · Jul 24, 2026

68° to 69° · prices over time

−24h

now

volume · by outcomehover a column to inspect

no volume history