Kairos Signal connects weather and world events to the commodities they move. It tracks conditions in key growing and producing regions, shows how those conditions have lined up with commodity returns in the past, and lists the geopolitical developments that could affect supply.
Availability
Kairos Signal is listed under Research in the navigation. During the beta it carries a v1.0 badge, and on many accounts it opens a notice that it will be available with the v1.0 launch.
How it works
- Regions: U.S. Midwest (corn and soybeans), Brazil South (soybeans and coffee), Ukraine (wheat), Gulf of Mexico (oil and natural gas), West Africa (cocoa), and Central India (cotton and sugar).
- Weather: about two weeks of recent daily data plus a two-week forecast, with current conditions.
- Crop and demand context: temperature, precipitation and water balance, growing degree days, wind and solar radiation, and the critical time windows (planting, pollination, harvest) when weather matters most for each commodity.
- Historical correlations: how a weather variable has lined up with a commodity’s forward return, with the average return in wet versus dry periods and a p-value.
- Active geopolitical signals: events tagged as shipping, OPEC, sanctions, conflict, climate, or trade, with affected regions, a per-commodity rationale, scenario impact estimates, and sources.
Step-by-step
- Open Research → Kairos Signal.
- Pick a region and a timeframe (7D, 14D, or 30D).
- Review the weather charts and the critical time windows for that crop.
- Expand a historical correlation to see the wet and dry return figures.
- Read the geopolitical signals for events that could override the weather story.
What this is, and isn’t
Kairos surfaces patterns and context; it does not place trades, recommend specific tickers, or guarantee outcomes. A correlation describes the past, and scenario impact estimates are conditional on the scenario actually happening.
Troubleshooting
- Seeing a v1.0 notice? Kairos is not yet enabled for your account.
- “No events match this filter”? Clear or change the event category filter.
- A correlation looks weak? Check the p-value; a high value means the pattern may be noise.
Next in Research Tools: Earnings Call Analyzer (NLP Sentiment) and Related Prediction Markets on Events.
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FAQ
Q: Does Kairos trade for me?
A: No. It surfaces patterns; you decide what, if anything, to do.
Q: Does Kairos use prediction markets or macro series?
A: No. Kairos is built on weather data, historical commodity returns, and tracked geopolitical events.