Weekly Grain Seasonal Review 4.26.23

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
80.50
4_Yr
47.55
6_Yr
25.97
2_Yr
76.92
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 9_Yr
82.02
4_Yr
36.58
2_Yr
40.56
2_Yr
80.42

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 4_Yr
70.77
4_Yr
84.07
4_Yr
87.78
10_Yr
87.00
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
48.83
4_Yr
86.68
4_Yr
83.26
10_Yr
85.07

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
49.34
7_Yr
38.69
4_Yr
32.68
2_Yr
5.51
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 1_Yr
68.24
6_Yr
41.41
4_Yr
34.97
2_Yr
11.20

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.