Commodities follow the rhythms of nature — harvest cycles, weather patterns, heating seasons, and industrial demand peaks. These physical forces create some of the most reliable seasonal patterns in all of trading.
Explore gold, oil, natural gas, grains, and metals — with 20+ years of seasonal data, backtesting, and portfolio tools.
20-Year Seasonality Profile
Watch the workflow before exploring the use case: discovery, validation, and execution planning in one clear process.
30+
Commodities Covered
Metals, Energy, Grains, Softs
20Y+
Data Depth
Per commodity
Yes
Physical Drivers
Supply/demand cycle awareness
100%
Backtest Ready
Any pattern, instant
Unlike stocks, commodity prices are directly tied to physical reality — weather, harvests, industrial cycles, and energy demand.
Winter heating, summer driving, refinery maintenance — energy commodities follow predictable demand calendars.
Planting, growing, and harvest windows create supply anxiety and seasonal price movements in grains and softs.
Chinese New Year, Indian wedding season, jewelry demand peaks — gold and silver have clear seasonal demand drivers.
Copper and base metals follow construction and manufacturing seasons, creating seasonal demand patterns.
20-Year Seasonality Profile
Each commodity sub-class follows different seasonal logic. Here's what drives recurring patterns in each group.
Gold is unique: its seasonality is driven by cultural demand cycles rather than industrial supply constraints. This makes its seasonal patterns among the most stable across all commodities.
Energy seasonality is the most volatility-prone. Natural gas has the widest seasonal swings of any major commodity — September-to-November rallies can deliver 8–15% moves.
Agricultural seasonality is weather-dependent and can reverse dramatically in drought years. But over 20 years, the planting-to-harvest cycle creates statistically robust seasonal patterns.
Industrial metals track global economic cycles more closely than other commodities. Their seasonality is a proxy for global growth expectations — making them useful as a macro seasonal indicator.
Gold and silver typically rally on Chinese New Year demand, portfolio rebalancing, and safe-haven flows at the start of the year.
Refinery restocking ahead of summer driving season pushes crude prices higher. One of the most reliable commodity seasonal windows.
Anticipation of winter heating demand drives natural gas prices. Storage reports become critical during this window.
Weather uncertainty during planting and growing season creates volatility in wheat, corn, and soybeans.
| Asset | Window | Dir | Win Rate | Avg Ret | Max DD | PF |
|---|---|---|---|---|---|---|
| Gold (GC) | Jan 15 – Mar 10 | Long | 75% | +4.2% | -3.5% | 2.1 |
| Crude Oil (CL) | Feb 1 – Apr 30 | Long | 73% | +6.5% | -8.2% | 1.8 |
| Nat Gas (NG) | Sep 1 – Nov 15 | Long | 72% | +8.1% | -12.4% | 1.5 |
| Silver (SI) | Jul 20 – Sep 10 | Long | 68% | +3.6% | -5.8% | 1.6 |
| Copper (HG) | Jan 1 – Mar 31 | Long | 71% | +4.8% | -6.0% | 1.7 |
| Wheat (ZW) | May 15 – Jul 31 | Long | 67% | +5.3% | -9.1% | 1.4 |
| Soybeans (ZS) | Jun 1 – Jul 15 | Long | 65% | +4.0% | -7.5% | 1.3 |
| Palladium (PA) | Jan 1 – Feb 28 | Long | 70% | +5.5% | -7.0% | 1.6 |
75%
Win Rate
+4.2%
Avg Return
20Y
History
73%
Win Rate
+6.5%
Avg Return
20Y
History
68%
Win Rate
+3.6%
Avg Return
20Y
History
72%
Win Rate
+8.1%
Avg Return
20Y
History
67%
Win Rate
+5.3%
Avg Return
20Y
History
71%
Win Rate
+4.8%
Avg Return
20Y
History
20-year composite showing gold's typical annual rhythm: strong Q1, summer lull, and autumn recovery.
20-Year Composite
Seasonality360 takes you from a raw seasonal observation to a backtested, portfolio-ready edge — in one integrated workflow.
Step 1
Scan thousands of seasonal patterns across markets, timeframes, and calendar windows.
Step 2
Read seasonality charts, monthly returns, and historical consistency at a glance.
Step 3
Backtest any pattern with real historical data — equity curves, drawdowns, trade-by-trade.
Step 4
Combine validated patterns into diversified portfolios with aggregate risk metrics.
Analyze seasonal patterns across 30+ commodities — gold, oil, grains, metals — with integrated backtesting.