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The seasonal analysis represents recurring seasonal chart patterns in commodities. The patterns change following the weather, supply/demand, commodity production, and customer behavior.
For example, oil demand often increases in winter each year, and Gold demand usually increases during the festive seasons and global economic changes that stimulate investor behavior.
Although the chart helps traders see the market's overall bias, they should always combine it with the weekly and daily timeframes.
In this lesson, you will learn about the seasonal patterns of oil and gold, the impact they have on demand, a strategy for investors and traders to analyze trends, and a case study of seasonal analysis.
The seasonal patterns provide valuable insights, as commodities often fluctuate with changing demand and supply. When you combine these seasonal patterns with technical and fundamental analysis, you will make better trading decisions.
Gold often increases during festival seasons, especially at Indian weddings and festivals in India, as it symbolizes culture and religion and reflects a partner's wealth and financial security.
Source: NCDEX, World Gold Council; April 13, 2026.
The Indian wedding season usually runs from November to March, spiking demand for gold, according to the World Gold Council.
Source: Shanghai Gold Exchange; ICE Benchmark Administration, World Gold Council
The demand for gold increases similarly around the Chinese New Year, as it is seen as a symbol of good luck and wealth. As of January 2026, the Chinese gold price has rose 14% and 19% in the month, then pulled back at the end of the month.
This shows that during this festival, strong gold demand has led to a rapid price surge and increased volatility.
Oil prices are driven by demand during the Winter and Summer. Demand for heating oil and natural gas surges during winter, especially in the Northern Hemisphere, North America, and Europe. During the summer, gasoline demand often rises as people travel more. These shifts help investors avoid the potential price drop and enable them to enter before the price increases.
Source: The U.S. Energy Information Administration
The U.S. Energy Information Administration data shows that, over the past, crude oil generally reached its highest levels during May-July, peaking at 127.47 USD per Barrel in 2008 due to the financial crisis and a weakened dollar.
Oil prices mainly affect production chains in agriculture and industry, as it is the most widely used fuel worldwide.
According to Rodrigo Lamberti, an expert at Hedgepoint, logistics costs and seasonal factory production are the most important factors for agriculture.
The case study of Esalq-LOG (Research and Extension Group in Agro-industrial Logistics), which collaborated with the United States Department of Agriculture (USDA) in 2019, showed that farmers in Brazil already use trucks to transport corn by 69% and soybeans by 67%. This has significantly increased diesel prices, which in turn has increased the cost of agricultural products as oil prices have risen.
Seasonal analysis can help traders benefit from the cycles of price behavior in the commodity market when making trading decisions. There are many different strategies that help you find an important edge in the market, such as
For this strategy, traders need to understand that oil prices are often impacted by economic growth, geopolitics, and contractions. Among energy commodities, Crude oil is among the most actively traded in the world.
The Seasoptima team has shown a historical seasonal analysis of West Texas Intermediate (WTI) crude oil performance over the past 10-15 years on their platform. This shows which month is best for Crude oil trading, with the proven win rate and average return as follows in the chart below:
Month
Average profit return
Win rate
Summary
January
+7.82%
80%
Best performing month
February
+3.18%
83%
Most consistent month
March
+0.10%
40%
No clear seasonal edge
April
-3.19%
Not a good performing month
May
+0.36%
60%
June
+3.00%
Well performance month
July
+1.14%
No clear signal
August
-2.85%
20%
Weak performance month
September
-0.14%
October
+0.54%
Not a favorable month
November
-8.38%
0%
The worst performance month
December
+2.47%
Slightly positive trading month
This strategy shows a high monthly average performance that will benefit traders, with strong momentum and fundamental support.
Gold price movements are also correlated with the gold seasonal pattern that professional investors and traders use to trade or invest in gold.
Source: XAUBGN Curency; Varchev
There’s a certain time of year when gold moves more strongly, either in summer or winter, and it often repeats itself compared to past years, as seen on the chart of XAU between 2015 and 2018.
Many traders use calendar gold seasonal trading to analyze the gold chart over the year as follows:
January is considered the best month to buy gold because buyers want to protect their investment from the uncertainty that might happen throughout the year. This is why gold prices often rally strongly at the beginning of the year.
However, this doesn't happen every year due to the global economy, geopolitical uncertainty, Inflation, or Federal Reserve interest rate announcements.
The gold price often consolidates after the month's rally, and demand for gold increases after festival seasons, which slows the price in spring months. March is one of the worst trading months, and it’s better to wait and watch the move during this period.
Gold prices often rebound in the summer months as the demand for gold increases again, especially during the wedding seasons in India and China. Also, it’s when institutional and central banks buy more gold to increase their reserves.
During this season, gold often rises to the highest level due to the Diwali and Chinese New Year festivals. Also, it’s a time when investors tend to buy more gold due to uncertainty and high inflation.
After the surge, the gold price often declines as demand for gold drops after the festival season and investors sell to realize their profits. However, it’s still a good time to buy gold, as it typically starts rising in January, as seen on the chart above.
The autumn effect in the gold case study by Dirk G. Baur was introduced by daily gold returns in spot and futures from January 1981 to December 2010.
In 2007-2008, the global financial and economic crisis increased demand for gold, pushing the price to an all-time high in 2011 amid fears of high inflation. This explains that it is impossible for the price to move repeatedly each year due to fear.
Bauer's point is that one factor that makes it impossible to increase demand for gold is that many investors believe.
Since many financial events often occur during this time, such as the 1987 stock market crash, the Asian financial crisis in 1977, the Global Financial Crisis in 2008, and the Central Bank Gold Agreement (CBGA), which often expired in September. This convinces investors to buy gold as a hedge against global economic and geopolitical uncertainty.
In September and November, the daily yield returns are significantly positive. Gold yields 2.2% in September and 1.8% in November, showing substantially higher returns in certain periods.
This autumn effect reflects that investors will buy against the sell-off in between November and May, or named "Halloween effect" or “sell in May and go away effect” from Bouman and Jacobsen, 2002, Jacobsen and Zhang, 2012.
However, this gold analysis is conducted during periods of high volatility, financial crises, changes in inflation, and trade conditions that determine the value of the US dollar.
Seasonal analysis helps investors see a repeating price pattern each year.
Gold often moves during autumn festival seasons, as shown by the autumn effect of gold (1981-2010).
Oil demand increased during Summer and Winter, as it could shift oil prices during those periods.
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