# Helios Corn Futures Climate Challenge

**Turn weather wisdom into trading gold! Use Helios AI's climate data to decode the weather signals behind corn futures & outsmart the markets**

## Competition Overview

Welcome to the Helios Corn Futures Climate Challenge! This competition challenges data scientists and quantitative analysts to discover novel ways to leverage climate risk data for predicting corn futures price movements. Your mission: find innovative methods to strengthen the correlation between weather patterns and commodity markets.

## The Challenge

Agricultural markets are fundamentally driven by weather, but the relationship between climate conditions and futures prices is complex and often non-linear. Traditional approaches may miss subtle patterns or fail to capture the full economic impact of weather events across different regions and seasons.

**Your goal**: Develop creative approaches to transform Helios's proprietary climate risk data into signals that show stronger correlations with corn futures prices than baseline methods.


**Sample submission**: Check out the sample submission [here](https://www.kaggle.com/code/edenecanlilar/sample-notebook-eden) to get an idea of what to submit and how to submit it. 

**Due date**: Submissions are due no later than **01/30/2026 02:00 PM EST**. 

## What Makes This Unique

- **Proprietary Climate Intelligence**: Access to Helios's advanced climate risk model that goes beyond simple weather data
- **Real Economic Impact**: Climate risks are pre-classified based on actual crop tolerance thresholds
- **Global Scale**: Data spans major corn-producing regions worldwide
- **Production Weighting**: Regional market share data enables economic impact modeling
- **Multi-dimensional Risk**: Four distinct climate risk categories (heat, cold, drought, excess precipitation)