
Introduction: Finding Good Trades Is Only Half the Challenge
Seasonal commodity spread trading is built around the observation that certain price relationships tend to follow recurring patterns throughout the year. These patterns can create attractive opportunities without requiring traders to predict the outright direction of commodity prices. My Smart Spreads strategy has traditionally focused on identifying trades with favorable historical characteristics, including profitability, win rates, drawdowns, entry timing, and contract structure. But recently, I began asking a different question:
That distinction is important. A trade may have an attractive historical record but still represent a less desirable use of capital than another opportunity approaching just a few weeks later. To address this challenge, I developed a process that evaluates historical commodity spread performance across the calendar year, ranks the opportunities, and organizes them into an annual timeline. The objective is straightforward:
Sugar provides an excellent example of how this process works.
What the Sugar Research Revealed
My historical analysis identified several attractive seasonal opportunities in Sugar #11 and White Sugar. Rather than evaluating each trade independently, I compared their historical performance and ranked them using a common scoring framework. The Historical Opportunity Score evaluates four characteristics:
Each opportunity receives a score on a 100-point scale. The resulting Sugar rankings produced several interesting observations.
Historical rankings based on the research dataset. Results are averages of historical observations and do not represent guaranteed future performance.
The highest-ranked opportunity is a White Sugar spread beginning in September. Its historical performance is particularly attractive because of its favorable profit-to-drawdown ratio. However, that opportunity has already passed for the current seasonal cycle. This is where the annual timeline becomes particularly useful.
Turning Historical Rankings Into a Trading Plan
Looking at the remaining opportunities, three Sugar #11 spreads stand out.
Rather than choosing only one of these trades, the timeline suggests an opportunity to build Sugar exposure gradually. My current plan is to enter the third-ranked spread this week, add the second-ranked spread next week, and establish the fourth-ranked spread near the beginning of December. This creates a sequence of entries across several weeks, using different contract structures while concentrating on some of the strongest historical opportunities identified by the research. The approach offers several potential advantages.
The objective is not simply to maintain exposure to Sugar. It is to establish that exposure through a deliberate sequence of historically attractive trades. Of course, these positions remain exposed to common Sugar market fundamentals. Staggered entries and using different contract structures do not eliminate correlated risk, and the combined exposure must remain consistent with portfolio risk limits.
Why the Annual Timeline Changes the Decision
The real value of this approach becomes apparent when we look beyond the individual trades. Without an annual timeline, I might identify an attractive Sugar spread in October or November and enter it simply because its historical performance meets my minimum requirements. But that decision could consume capital needed for a stronger opportunity approaching a few weeks later. By reviewing the entire year in advance, I can see when the most attractive historical windows occur, how long they typically last, and where opportunities overlap. This allows me to distinguish between two very different questions:
The second question is becoming increasingly important to my Smart Spreads strategy. In the Sugar example, the annual rankings help identify the stronger opportunities, while the timeline helps determine how to sequence them. The result is a more deliberate approach to trade selection and capital allocation.
Additional Details
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Darren Carlat
Dual Edge Research
(214) 636-3133
DualEdgeResearch@gmail.com
Disclaimer
This information is for informational purposes only and should not be considered investment advice. Past performance is not indicative of future results, and all investments carry inherent risk. Consult with a financial advisor before making any investment decisions.