Connect Kalshi and Polymarket markets to the public sources, reference stations, and observed outcomes behind them. Study venue history, reproduce contract resolution, and move from historical research to live market analysis.
1from datetime import date 2from mostlyright.markets.catalog import kalshi_nhigh 3 4settlement = kalshi_nhigh.resolve("KHIGHNYC", date(2025, 1, 6))
1import { kalshiSettlementFor } from "@mostlyrightmd/markets"; 2 3const settlement = kalshiSettlementFor("KHIGHNYC", "2025-01-06");
NHIGH / NLOW weather-contract resolvers map a ticker to its official reference source and station. Pair that reference mapping with venue history for reproducible research.
Discover active weather events, identify the reference station in each resolution rule, and compare contract outcomes with international daily extremes and quality alerts.
Start with the URL slug or ticker for a covered daily-extreme weather market.
Connect the contract to its reference station and public source.
Fetch that station's observed extreme for the contract window, in its native unit.
Apply the contract threshold, record the outcome, and include any quality alert.
{ eventId: "highest-temperature-in-london-on-…", icao: "EGLC", temperature_extreme: "high", resolvedValueC: 30, resolvedValueF: 86, unit: "celsius", resolutionSourceType: "noaa_wrh", dataQualityAlert: null }