What is the best month for Live cattle?
Since 2001, October has been the strongest month for Live cattle, averaging +2.80% and rising in 68% of 25 years. May has been the weakest, at -3.75%.
We rate the October pattern as strong and the May pattern as strong. December comes second at +1.62%. A strong month is when prices have tended to rise, not a promise that they will.
Every month, ranked
Live cattle, 2001 to 2026
| Rank | Month | Average | Median | Up years | Pattern |
|---|---|---|---|---|---|
| 1 | October | +2.80% | +2.22% | 68% | strong |
| 2 | December | +1.62% | +2.52% | 84% | weak |
| 3 | February | +1.48% | +2.53% | 75% | strong |
| 4 | June | +1.07% | +1.67% | 58% | no clear pattern |
| 5 | April | +1.05% | -0.02% | 48% | no clear pattern |
| 6 | September | +0.72% | +1.93% | 65% | no clear pattern |
| 7 | January | +0.68% | +0.97% | 61% | weak |
| 8 | August | +0.56% | -0.28% | 42% | no clear pattern |
| 9 | November | +0.32% | -0.02% | 48% | no clear pattern |
| 10 | July | +0.31% | -0.23% | 46% | no clear pattern |
| 11 | March | -0.72% | +0.08% | 52% | no clear pattern |
| 12 | May | -3.75% | -4.07% | 23% | strong |
Exact date ranges
Seasonal windows that held in at least 75% of years
Likely range of the hit rate 75% to 98%. 2002 to 2013: 92%, 2014 to 2025: 92%.
Likely range of the hit rate 59% to 91%. 2002 to 2013: 83%, 2014 to 2025: 75%.
Likely range of the hit rate 70% to 96%. 2002 to 2013: 92%, 2014 to 2025: 83%.
Likely range of the hit rate 80% to 99%. 2002 to 2013: 92%, 2014 to 2025: 100%.
Why it might happen
- The cattle cycle takes years to rebuild herds; summer grilling demand and feed costs matter.
Full statistics, technicals and event reactions: Live cattle. How to read these numbers: guide.
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Not investment advice. Market Seasonality publishes historical statistics, news summaries and scenario analysis for information and education. Past patterns do not guarantee future results. Nothing here is a recommendation to buy, sell or hold any asset, and scenarios describe possible paths without predicting them. See the disclaimer and methodology.