Seasonal Trading Calendar
Historical buy and sell windows for 15 commodities across Energy, Metals, Agriculture, Nuclear, Fertilizers, Construction, and Industrial. Based on multi-decade data from the Stock Trader's Almanac (Hirsch), Moore Research Center (MRCI), Purdue University, and Equity Clock. Click any cell for rationale and community notes.
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How to use these signals responsibly
Every calendar cell pairs a historical seasonal tendency with a real-world driver and a source trail. Signals are reviewed against multi-decade research, but they are not forecasts or investment advice; weather, policy, supply disruptions, and current market conditions can override a historical pattern.
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Learn the Seasonal Edge
Free research articles covering commodity seasonal patterns, long-term accumulation strategy, and the data behind every signal.
Fertilizer Seasonality: Why Fall Is the Only Time to Buy
A 38-year Purdue University study found that fall fertilizer prices were cheaper than spring prices in 36 out of 38 years — a 95% win rate. This article explains the mechanism behind the pattern and the optimal buying windows for all four fertilizer commodities: nitrogen, phosphate, sulfur, and potash.
Natural Rubber Seasonality: The Wintering Cycle, Monsoon Disruptions, and China's Tyre Demand
Natural rubber prices follow two distinct seasonal cycles every year — the wintering supply shock and the monsoon disruption — both driven by the biology of the Hevea brasiliensis tree. Understanding these cycles gives traders and industrial buyers a repeatable edge.
Seasonal Accumulation: Using Buy Signals to Build Long-Term Commodity Positions
Most seasonal trading guides focus on the short-term trade: buy in February, sell in June, repeat. But there is a second, equally powerful way to use seasonal data — as a disciplined entry framework for building long-term commodity positions. The concept is simple: use seasonal buy signals to time your purchases, then hold through the sell months rather than exiting, allowing compounding and long-term appreciation to do the heavy lifting.
Current Month Signals — October 2026
Featured This Month — Strongest BUY Signals
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Signals for October
Use the category and signal filters above to refine this month. Tap a card for its rationale and sources.
Seasonal Rationale by Commodity
January is the strongest month (+1.90% avg), driven by Indian wedding season and safe-haven demand. Secondary peak Aug–Oct (Indian festival season). Weakest Mar–Jun.
Winter wheat harvest (Jun–Aug) creates primary sell pressure. Prices peak in May ahead of harvest. Best buying opportunity at August harvest lows. Secondary buy Oct–Nov (winter wheat planting).
Driven by utility nuclear fuel procurement cycles, not consumption. Primary contracting season Sep–Feb. Weakest Apr–Jul (post-contracting lull). 18-month refueling cycles create multi-year patterns.
Nitrogen anhydrous ammonia prices are driven by natural gas feedstock costs and the Northern Hemisphere planting cycle. Fall (Aug–Oct) is historically 10–20% cheaper than spring. Peak prices occur Mar–May at planting season. Purdue 38-year study (1967–2009) confirms consistent fall discount.
DAP and MAP follow the same planting-season demand cycle as nitrogen. Fall pre-buying (Sep–Nov) captures a consistent discount vs. spring. Spring (Feb–May) is peak price season. Less volatile than nitrogen as phosphate is not directly tied to natural gas feedstock.
Muriate of Potash (MOP/KCl) follows the same planting-season demand cycle but is less volatile than nitrogen as it is not tied to natural gas. Fall pre-buying (Sep–Nov) is the optimal strategy. Spring (Apr–Jun) is peak price season. Dominated by a small number of global producers (Nutrien, Mosaic, Belarusian Potash).
Two seasonal peaks: winter heating (Nov–Feb) and summer cooling (Jul–Aug). Spring and fall shoulder seasons are the weakest. December is the worst month (-13.7% avg).
Driven by Chinese construction and manufacturing cycles. Buy Oct–Apr (Chinese New Year + construction season). Summer slump May–Sep averages -4.19% (Seasonax). Key recession indicator.
Driven by the U.S. residential construction season. Prices typically bottom in Oct–Nov, accumulate through winter, peak in Feb–Apr as homebuilders ramp up spring activity. Summer sees post-peak softening.
Tracks gold's seasonal pattern with amplified moves. Strongest Jan–Apr (remarkable historical up movement). Corrects May–Jun. Secondary recovery Jul–Sep.
Driven by the U.S. driving season. Refineries ramp up gasoline production Feb–Jun. Post-peak inventory builds create Jul–Nov weakness.
Agricultural cycle dominates. Prices peak Jan–Apr (pre-planting uncertainty premium). Lowest at harvest Sep–Oct. Post-harvest lows Nov–Dec are the best buying opportunity.
Strongest Jan–Mar (South American crop risk + Chinese buying). U.S. harvest Sep–Oct is the weakest period. Post-harvest lows Nov–Dec are the best accumulation window.
Sulfur is a by-product of oil & gas refining and the key feedstock for phosphate fertilizer (via sulfuric acid). Spring and fall are peak demand periods driven by agricultural planting cycles. Summer and winter are the weakest periods. Supply is inversely linked to oil refinery run rates.
Natural rubber (Hevea brasiliensis latex) is the primary raw material for tyre manufacturing (~70% of global demand). Its price follows two dominant seasonal cycles: the wintering/leaf-fall supply shortage (Jan–Feb) and the monsoon disruption (Jun–Jul), both reducing tapping output and pushing prices higher. Peak supply in Oct–Nov drives the seasonal sell window. Traded on SGX (TSR20), JPX (RSS3), and SHFE. Key producers: Thailand, Indonesia, Vietnam.
Curated Tools & Partner Resources
Tools, research portals, and data sources that complement the three-pillar commodity investment framework — ratio analysis, macroeconomic conditions, and seasonal timing.
Ratio analysis and relative-value comparisons across commodity markets. Identify when one commodity is historically cheap or expensive relative to another.
In-depth investment research, sector analysis, and commodity market outlooks. Reports span macro frameworks, sector deep-dives, and natural resource themes.
A faith-based, multi-generational stewardship vehicle. Professionally managed strategies grounded in biblical principles, quantitative research, and seasonal market analysis.
Ratio + Seasonality + Research = Conviction
Use the Ratio Dashboard on commodityratio.com to identify commodities at historical ratio extremes — assets genuinely cheap relative to peers, independent of dollar fluctuations.
Cross-reference with comcalend.com to check whether the current month falls within a historically strong seasonal buy window — adding a time dimension to the ratio signal.
Deepen conviction with sector research from walmerportal.com — macro frameworks, supply/demand analysis, and company profiles that explain why the ratio may revert and which equities stand to benefit.
✍️ Latest Insights
From the Seasonal Research Desk
What Is Commodity Seasonality? A Beginner's Guide
Commodity prices are not random. Beneath the daily noise of geopolitical events and economic data, there exists a layer of predictable, repeating annual patterns driven by weather cycles, harvest schedules, industrial demand rhythms, and cultural events. This is commodity seasonality.
How Crude Oil Seasonality Works: The Driving Season Effect
Crude oil is the world's most actively traded commodity, and beneath its daily volatility lies one of the most well-documented seasonal patterns in financial markets. The driving season effect — the annual buildup in gasoline demand from late winter through early summer — creates a recurring price tailwind that has been observed for decades.
Gold's Two Seasonal Windows: January and the Diwali Rally
Gold has two distinct seasonal sweet spots every year — a January rally driven by portfolio rebalancing and a late-summer to fall rally driven by Indian festival demand. Understanding both windows, and the weak period between them, is essential for anyone trading or investing in gold.
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Disclaimer: Seasonal patterns represent historical tendencies, not guarantees of future performance. All trading and purchasing decisions should incorporate current fundamental, technical, and macroeconomic analysis. Past seasonal patterns may not repeat.
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