Agricultural futures are tied to a physical production calendar. That makes seasonality especially relevant when comparing delivery months that sit at different points in the crop cycle.
Planting and growing season
Expectations about acreage, weather and crop development can change the relative value of old-crop and new-crop contracts.
Harvest pressure
Physical supply often increases during harvest, which can affect nearby prices, storage economics and calendar spreads.
Old crop vs new crop
Spreads crossing from one crop year into the next can encode expectations about carryout stocks and the next harvest.
See the workflow with live Corn data
The research process—exact dated contracts, multiple lookbacks, individual years and curve context—is demonstrated in the Corn analyzer.
Open Corn SeasonalityStorage and carry
When supply is abundant, the market may need to compensate storage through the curve. When supply is tight, nearby contracts can command a premium.
How to test agricultural seasonality
- Use the same delivery-month relationship across years.
- Compare multiple lookbacks.
- Inspect weather-shock years separately.
- Review the current curve regime.
- Measure worst historical adverse moves.
The current Futures Spread product provides this workflow for Corn, making it the best live example of the research process described here.
Why agricultural spreads can be more informative than outright charts
Agricultural markets have a strong physical calendar. Planting, growing conditions, harvest, storage and the transition between crop years all affect delivery months differently. A calendar spread can isolate those relative effects more clearly than the outright commodity price.
For example, harvest pressure can weigh on nearby contracts while deferred contracts reflect storage and future supply expectations. Later in the cycle, tight old-crop inventories can create the opposite relationship.
Old crop, new crop and crop-year boundaries
Spreads that cross a crop-year boundary often have different economics from spreads contained within one crop year. That is because one leg reflects remaining inventories while the other reflects expectations for the next harvest.
When testing seasonality, compare like with like. A spread crossing the crop-year transition should be matched with the equivalent relationship in prior years rather than blended with unrelated month pairs.
How weather complicates seasonal patterns
Weather is one reason agricultural seasonality should never be treated as deterministic. Drought, excessive rain, planting delays or early frost can overwhelm the usual seasonal cycle. Robust research therefore keeps the unusual years in the sample instead of removing them simply because they do not fit the pattern.
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Frequently asked questions
What is commodity spread trading?
Commodity spread trading focuses on relative price relationships, often between delivery months of the same commodity or between economically related commodity markets.
Why are calendar spreads common in commodities?
Physical commodities have storage, production and demand cycles that can affect nearby and deferred delivery months differently.
Are all commodity spreads seasonal?
No. Some relationships show recurring timing, while others are dominated by changing fundamentals or market structure.
Which commodity does Futures Spread currently analyze live?
The current live product provides detailed dated-contract and seasonal analysis for Corn calendar spreads. The other commodity pages in this cluster are educational.
Use the same research framework on a live Corn spread
Compare exact delivery months, seasonal windows, individual years and current structure in the Futures Spread analyzer.
Open Corn Spread AnalyzerFutures trading involves substantial risk. Historical patterns do not guarantee future results. Educational examples for Wheat, Soybeans, Energy and Gold describe market concepts; the current live Futures Spread analyzer is focused on Corn.