Agricultural futures

Definition

Agricultural futures — grains and oilseeds (corn, soybeans, wheat), livestock (cattle, hogs), and softs (sugar, coffee, cocoa, cotton) — price biological production cycles: planting, weather, harvest, and storage. They are the oldest futures markets (the CBOT’s founding purpose) and the most genuinely seasonal, with scheduled government data (USDA reports) as recurring repricing events.

How it works / structure

• Specs (corn reference): 5,000 bushels, quoted in cents per bushel, physical delivery against warehouse receipts, contract months aligned to the crop cycle (old-crop vs new-crop months are economically different goods — ms-contract-specs).
• The crop-year structure: new-crop contracts price a harvest not yet grown (weather risk), old-crop contracts price inventory in store — old/new-crop spreads are supply theses (strategy-futures-calendar-spread); the soybean crush (beans → meal + oil) is the processing-margin spread (strategy-inter-market-spread).
• Scheduled information: WASDE monthly balance sheets, planting-intentions and acreage reports, weekly export sales — a published event calendar with documented volatility (lens-event-catalyst applied to USDA dates); daily price limits apply and can lock markets (instrument-futures-contract limit mechanics).
• Positioning data: agriculture is where COT reports (sent-cot-reports) are most watched — commercial hedger vs speculator structure is the market’s native anatomy.

When it applies

Weather/supply theses within the crop calendar; inflation and food-price macro linkages (macro-commodity-linkages); genuine seasonality hypotheses — agriculture is the one arena where seasonal patterns have physical mechanisms, still subject to regime-seasonality’s small-sample discipline.

Risk profile & failure modes

• Weather is unhedgeable narrative: forecast-driven repricings are violent and reversible; a position becomes a meteorology opinion unless the thesis states otherwise.
• Limit-lock risk: consecutive limit days can trap positions without exit for days — sizing must consider no-exit paths (risk-scenario-analysis).
• Report gaps: USDA numbers land at fixed times into auction-thin books; holding size through reports is an event thesis whether intended or not.
• Delivery specifics: grades, locations, and receipts — physical-month discipline applies with full force.

Evidence & limits

Contract mechanics are exchange-documented; USDA schedules and their market impact are public record with an academic literature documenting announcement effects. Seasonal price tendencies have physical bases (harvest pressure, planting risk premiums) and small samples — the platform requires seasonal claims quoted with instance counts (regime-seasonality). COT-based positioning signals are covered, with their mixed evidence, in sent-cot-reports.

Falsifiable-thesis examples

Illustrations only, not signals:

• “Corn’s old-crop/new-crop spread will widen if the March planting-intentions acreage prints below N million acres” — falsified by the conditional pair.
• “December corn’s implied volatility will exceed its current level in the week containing the July WASDE” — falsified by the IV series.

Cross-references

• Theory home: ext-commodities; seasonality discipline: regime-seasonality
• Native spreads: strategy-futures-calendar-spread (old/new crop), strategy-inter-market-spread (crush)
• Positioning anatomy: sent-cot-reports
• Event mechanics: lens-event-catalyst, instrument-futures-contract (limits)