Weekly Grain Seasonal Review 5.10.23

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

Soybeans

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 4_Yr
72.44
5_Yr
56.21
4_Yr
58.38
2_Yr
64.07
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 4_Yr
89.57
4_Yr
61.45
4_Yr
50.10
2_Yr
69.51

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 4_Yr
81.71
4_Yr
75.75
4_Yr
90.77
10_Yr
87.74
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 4_Yr
81.92
4_Yr
78.02
4_Yr
89.11
10_Yr
86.94

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
84.40
9_Yr
44.49
4_Yr
48.70
7_Yr
25.37
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
74.47
9_Yr
19.62
4_Yr
44.22
6_Yr
7.58

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.