Weekly Grain Seasonal Review 11.23.22

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

Soybeans

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
31.85
8_Yr
52.36
2_Yr
24.50
8_Yr
63.56
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 8_Yr
71.92
8_Yr
48.93
9_Yr
20.86
8_Yr
62.71

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
76.48
5_Yr
60.68
9_Yr
39.61
8_Yr
74.56
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
50.60
5_Yr
52.67
9_Yr
39.93
8_Yr
72.65

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
86.56
3_Yr
64.88
2_Yr
69.48
6_Yr
41.74
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
90.74
7_Yr
49.39
2_Yr
70.29
4_Yr
38.11

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.