Weekly Grain Seasonal Review 12.28.22

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
81.67
8_Yr
70.46
8_Yr
44.73
4_Yr
63.70
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 10_Yr
61.36
8_Yr
72.37
6_Yr
45.05
4_Yr
64.49

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 2_Yr
53.29
5_Yr
81.61
9_Yr
68.22
9_Yr
82.85
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 1_Yr
63.06
5_Yr
82.75
9_Yr
64.88
9_Yr
81.10

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 2_Yr
83.65
3_Yr
78.00
7_Yr
26.84
4_Yr
59.43
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 2_Yr
58.19
3_Yr
80.30
2_Yr
34.16
4_Yr
56.80

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.