Weekly Grain Seasonal Review 5.31.23

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)2050100200
Seasonal Year Back with the Highest Correlation8_Yr 
89.76
8_Yr 
75.98
4_Yr 
80.64
6_Yr 
68.47
Last Week's Data    
Correlation Lookback (Days)2050100200
Seasonal Year Back with the Highest Correlation8_Yr 
89.45
4_Yr 
74.24
4_Yr 
84.59
6_Yr 
64.47

Wheat

Wheat

 

This Week's Data    
Correlation Lookback (Days)2050100200
Seasonal Year Back with the Highest Correlation9_Yr 
83.73
3_Yr 
80.21
6_Yr 
72.00
10_Yr 
86.54
Last Week's Data    
Correlation Lookback (Days)2050100200
Seasonal Year Back with the Highest Correlation2_Yr 
64.97
3_Yr 
54.05
4_Yr 
82.56
10_Yr 
86.44

Corn

Corn

This Week's Data    
Correlation Lookback (Days)2050100200
Seasonal Year Back with the Highest Correlation9_Yr 
34.36
8_Yr 
76.70
3_Yr 
82.64
3_Yr 
85.35
Last Week's Data    
Correlation Lookback (Days)2050100200
Seasonal Year Back with the Highest Correlation9_Yr 
73.81
8_Yr 
80.42
3_Yr 
82.53
3_Yr 
80.70

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.