Wednesday Weekly Grain Seasonal Review 6.15.22

Each Wednesday this article will be updated with the current seasonal study using CQG’s Seasonal analysis applied to the Soybean, Wheat and Corn markets. You can download the CQG pac providing the studies and charts here. In addition, the seasonal data lines can be pulled into Excel using RTD formulas.

Below each chart are two tables. The first table is the highest correlation of the current market data to the seasonal year using a 20-day, 50-day, 100-day and the 200-day lookback periods. The second table is the previous week’s data. Seasonal analysis is about price direction or the trend.

Soybeans

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 6_Yr
59.61
9_Yr
64.09
8_Yr
77.61
1_Yr
90.02
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 9_Yr
85.54
9_Yr
61.97
8_Yr
80.77
1_Yr
88.92

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
88.95
10_Yr
23.76
8_Yr
66.59
1_Yr
70.62
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
68.29
4_Yr
25.72
8_Yr
75.14
1_Yr
70.74

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 10_Yr
74.01
8_Yr
49.49
1_Yr
71.80
1_Yr
92.03
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
73.25
1_Yr
41.83
8_Yr
80.52
1_Yr
91.84

Disclaimer

Trading and investment carry a high level of risk, and CQG, Inc. does not make any recommendations for buying or selling any financial instruments. We offer educational information on ways to use our sophisticated CQG trading tools, but it is up to our customers and other readers to make their own trading and investment decisions or to consult with a registered investment advisor. The opinions expressed here are solely those of the author and do not reflect the opinions of CQG, Inc. or its affiliates.