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Summary of Commodity Futures Price Difference Analysis: August 2023

Report Overview

This report, prepared on August 2, 2023, provides a comprehensive analysis of key commodity futures price differences, focusing on current closing prices, historical percentiles over the past year, and long-term trends from 2018 to 2023. The data covers a wide range of products, including metals, energy, and agricultural commodities, with detailed breakdowns of main price differences and their graphical representations.

Market Analysis Summary

The analysis highlights several key points based on price differences and historical percentiles:

• Black Metals: The hot-rolled coil and rebar difference (roll-screw) is at a very high historical percentile of 96%, indicating a bullish or overbought condition in current markets.
• Agricultural Commodities: Differences vary significantly, with some showing low positioning. For example, the soybean palm difference is at a percentile of 1%, suggesting bearish conditions, while the soybean and palm oil difference is around 40% in historical terms. Other pairs like corn starch-corn show a 95% percentile, indicating high volatility or upside potential.
• Energy and Chemicals: Notable differences include the low-sulfur fuel oil-high-sulfur fuel oil spread at -208226% (a substantial negative, though possibly anomalous), and the asphalt-crude oil difference around 83%. The L-PP price difference is at 522%, reflecting a long-term trend, while TA-EG is at 1%, pointing to recent weakness.
• Price Difference Trends: The one-year historical percentiles reveal where current prices stand relative to past performance, with values such as 96% for roll-screw indicating extreme conditions. Trend charts compare multi-year data, showing cyclic patterns like seasonal variations in certain pairs (e.g., roll-screw and soybean palm deficiencies).

Overall, the data suggests a mixed market environment with some commodities showing overextended positions (e.g., high percentiles) while others indicate undervaluation or defensiveness. The analysis emphasizes reliance on these metrics for trading strategies, but historical trends may not guarantee future performance.

Key Findings and Comparisons

• Inter-Coarse Analysis: Cross-commodity pairs are linked to categories like black metals or agricultural, with percentiles offering insights into relative value.
• Comparison: For instance, the roll-screw difference's high percentile vs. lower percentiles in agricultural pairs highlights sector-specific vulnerabilities and opportunities.
• Economic Context: While not explicit, factors such as supply-demand dynamics and energy prices likely influence these spreads.

Disclaimer and Further Notes

The report's data is sourced from public information and serves as a reference for traders, with a disclaimer noting no liability for decisions based on this analysis, which is for internal use only. Recommended for audiences familiar with futures markets to identify potential hedging or trading opportunities.