Try the
World Climate Service PiT Weather Forecast API

This archive unlocks the ability for agriculture traders to analyze how market expectations of weather shaped price movements.

Backtest strategies. Validate impact. Win more weather-based trades.

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Why Use the Point-in-Time Weather Forecast Archive API?

Win more weather-based trades by leveraging real-time and historical weather forecast data to understand and predict market impacts across agriculture sectors.

Unmatched Historical Coverage

Access the commodity market’s most extensive archive of point-in-time weather forecasts, the 2017 start date yields 3,000+ days commodity market weather indices to help you build profitable trading strategies.

Rapid Real-time Weather Forecast Updates

The API provides access to real-time updated weather forecast from market critical weather forecast models to enable you to execute your trades.

Powered by Leading Weather Forecast Models

Get forecast data from trusted models used by institutional traders and meteorologists:


  • ECMWF
  • GEFS
  • GFS

These models offer reliable, global coverage tailored for both short-term volatility and seasonal market movement.

Weather Forecast Archive for Agriculture Traders

Access crop-weighted weather forecasts across key global regions:

  • United States
  • Canada
  • Europe
  • Brazil
  • Argentina

Includes weather variables the market closely watches for major crops like corn, soybeans, and wheat, enabling grain traders to evaluate how weather forecast shifts impact futures and options prices.

Flexible Weather Forecast Archive API for Easy Data Delivery

The Forecast Archive API makes it easy to retrieve and analyze weather forecasts aligned with your trading logic. Query variables like:

  • Temperature
  • Precipitation

 

Available in JSON, CSV, and Parquet formats for seamless integration into your modeling platforms, backtesting systems, or dashboards.

Yes, I Want to Explore the Alpha Generating Capabilities of the World Climate Service
PiT Weather Forecast API

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