Weekly Grain Seasonal Review 2.8.23

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 2_Yr
38.88
1_Yr
75.15
2_Yr
84.34
4_Yr
53.72
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
76.49
1_Yr
74.61
2_Yr
77.28
4_Yr
56.07

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 5_Yr
69.43
9_Yr
31.21
7_Yr
84.46
6_Yr
82.45
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 5_Yr
60.61
1_Yr
60.33
5_Yr
82.70
6_Yr
83.31

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 10_Yr
65.27
2_Yr
69.87
5_Yr
66.29
4_Yr
58.21
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 10_Yr
90.95
2_Yr
62.75
5_Yr
68.92
4_Yr
60.81

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.