Live CORN seasonal pattern
The chart below normalizes each calendar year to a starting index of 100 and averages the path across the selected history. This is the same seasonality logic used in the Stock Seasonality dashboard.
CORN annual seasonality
Loading historical CORN data…
Seasonal statistics describe historical tendencies, not forecasts. Commodity ETFs can diverge from spot commodity prices because of futures rolls, curve structure, fees and fund methodology.
Why corn can be seasonal
Corn is an agricultural commodity with a production cycle that repeats every year. That does not make price behavior predictable, but it creates recurring periods in which the market tends to focus on the same kinds of risks.
Spring: planting risk
Attention shifts to planting progress, field conditions and whether weather delays threaten acreage or early crop development.
Early summer: growing risk
Weather becomes especially important as the crop approaches key reproductive stages. Expectations can move quickly when temperature and rainfall forecasts change.
Late summer: yield expectations
The market begins refining yield estimates as crop conditions become clearer and the potential size of the harvest takes shape.
Autumn: harvest pressure
Harvest increases physical supply and gives the market more information about realized yields. That can change the balance between scarcity risk and supply pressure.
The strongest and weakest recurring windows
Rather than hard-coding a claim such as “May is always bullish,” this page calculates the strongest and weakest 60-day segments directly from the selected CORN history. We then validate the strongest segment against the individual historical years.
Historically strongest
Calculating…The live engine will populate this after the seasonal path loads.
Historically weakest
Calculating…The weakest segment is based on the same normalized annual path.
What CORN actually tracks
The Teucrium Corn Fund is designed to provide exposure to corn futures rather than the cash price of physical corn. Its benchmark uses multiple CBOT corn futures contracts with staggered expirations. That matters because an ETF investor can experience gains or losses not only from corn price changes, but also from how futures contracts are rolled over time.
How to use this information
- Use seasonality as a context layer, not as a standalone trading signal.
- Compare 10Y, 20Y and 25Y histories to see whether a pattern is recent or persistent.
- Check win rate and the distribution of individual years instead of relying only on the average line.
- For bearish windows, evaluate the same historical period from a short-strategy perspective in the main dashboard.
- Consider weather, USDA reports, futures-curve structure and current supply-demand conditions before acting.
Sources and methodology
Historical market data on this page is retrieved through the Stock Seasonality engine. The external issuer links are provided to explain the instrument structure.
Analyze CORN yourself.
Open the full dashboard, change the history length, drag across any period and inspect every historical trade.