Weekly Grain Seasonal Review 12.07.22

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 6_Yr
54.85
8_Yr
76.64
2_Yr
24.24
4_Yr
62.75
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
63.01
8_Yr
62.72
2_Yr
28.49
8_Yr
62.91

Wheat

Wheat

 

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 5_Yr
89.83
5_Yr
82.54
9_Yr
48.56
6_Yr
80.69
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
89.12
5_Yr
73.43
9_Yr
41.57
8_Yr
75.61

Corn

Corn

This Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 6_Yr
11.59
3_Yr
77.33
2_Yr
58.41
6_Yr
50.00
Last Week's Data        
Correlation Lookback (Days) 20 50 100 200
Seasonal Year Back with the Highest Correlation 7_Yr
78.61
3_Yr
75.09
2_Yr
68.55
6_Yr
44.60

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.