MidLincoln Commodities Strategy – November 2026

Strategy Stance

We maintain a pro-cyclical bias expressed via energy and targeted agriculture, funded by underweights in precious and industrial metals. Within sectors, we lean into those commodities where momentum, producer equities, and macro-geography are aligned.

Last Month Model Review

The October model already favored energy and select agriculture while calling for broad underweights in precious and industrial metals. Those sector views remain intact, with November scores reinforcing the existing regime rather than resetting it.

Prior Overweights

Across agriculture and energy, prior Overweights have generally strengthened:

• Rough Rice: Overweight increased from a solid to a very strong stance (higher total score), consistent with rough rice featuring among top monthly and YTD performers. The model’s emphasis on momentum and macro has been rewarded.
• Cocoa and Sugar: Both stayed Overweight with rising total scores. Supply tightness in cocoa and firm macro support for softs have validated the model’s constructive stance.
• Coking Coal: Overweight conviction rose sharply as total score improved materially. This aligns with its place among the best 1yr and YTD performers, confirming the model’s earlier pro-coal energy call.
• Oil: Upgraded from Tactical Overweight to full Overweight as total score improved. Despite a modest recent pullback in related products, YTD leadership across the oil complex confirms the structural call.
• Canola and Cotton: Both moved from tactical to full Overweight, reflecting stronger momentum and robust country macro support within agriculture exporters.
• Wheat and Corn: Both were Overweight and are now marked Tactical Overweight, with slightly lower total scores. The model correctly moderates enthusiasm as grain momentum has cooled, but keeps them on the long side given supportive macro.

Prior Underweights

The model’s underweight bias in metals has intensified where it mattered most:

• Palladium, Platinum, Silver, Gold: All precious metals remained Underweight, with more negative total scores, echoing their appearance among worst 1yr performers (palladium, platinum) and depressed sector and country macro scores. The model’s bearish stance is being validated by both price and producers’ equity weakness.
• Nickel and 3Mo Aluminum: Both shifted from tactical to stronger Underweights as their total scores declined. This aligns with very poor industrial-metal equity performance, especially the sharp underperformance of key miners.
• Lean Hogs: Moved from Tactical Underweight to Neutral as the total score improved. Given that lean hogs feature among the worst 1yr performers, the model prudently recognizes late-cycle downside exhaustion and avoids pressing the short further.
• Orange Juice: Previously Tactical Underweight, now Neutral, consistent with its continued weakness but reflecting diminished incremental downside as it already ranks among top shorts and worst 1yr names.

Misses and Signal Gaps

Formal miss attribution is not available, but several signal tensions are visible:

• Industrial metals vs equities: While industrial metal spot prices such as nickel showed small positive monthly gains, the model’s strong Underweight call is driven by very weak producer equities and negative macro scores. Short-term price bounces therefore do not constitute a miss but highlight that the model is prioritizing deeper cyclical drivers over one-month price action.
• Energy monthly pullback: Some energy products (gasoil, heating oil) saw negative 1m performance despite leading YTD. The model retained or strengthened Overweights, correctly treating the dip as consolidation, not trend reversal.
• Gold’s recent uptick: Gold posted a slight positive monthly change, yet remains a strong Underweight given deeply negative sector and country scores and weak miners. The small price strength is viewed as event-driven (geopolitics) rather than a durable shift.

Market Interpretation

• Sector leadership is still decisively in energy: Energy has the highest total sector score, with both sector and equity components at the top of the scale and robust YTD gains. The 1m sector pullback is modest versus the YTD surge, suggesting a pause rather than regime change.
• Energy equity confirmation is exceptionally strong: Energy producers have rallied solidly over the month while the commodity basket dipped, creating a wide positive equity–commodity gap. This indicates equity investors are anticipating sustained profitability and are not yet fading the energy trade.
• Agriculture supported by macro breadth rather than pure momentum: Softs/agriculture total scores are positive but 1m sector performance is negative. The key support is the maximum country macro score, with a broad base across major producers (Argentina, Brazil, India, Indonesia, United States, others) signalling resilient fundamentals and policy backdrops. That makes pullbacks in grains and softs more likely to be opportunities than trend reversals.
• Precious metals are structurally out of favor: The sector has the most negative total and country scores, with weak 1m and sharply negative YTD performance. Producer equities are underperforming but not collapsing, implying investors see limited cyclical upside and are unconvinced by safe-haven narratives despite bouts of geopolitical tension.
• Industrial metals face a confirmation problem: Industrial metals show moderately negative sector performance, but producer equities are deeply negative on the month. The large negative equity–commodity gap signals equity investors are pricing in a more severe or longer growth slowdown than spot metals currently imply, justifying the model’s Underweight.
• Top-ranked commodities cluster around energy and supply-stressed agriculture: The canonical ranking table puts rough rice, coking coal, cocoa, sugar, zinc, copper, Brent, and steel at the top. Within that group, the model discriminates strongly in favor of coking coal, oil, and rice/cocoa/sugar while remaining cautious or negative on industrials (steel, copper) where equities and countries do not confirm.
• Momentum vs valuation in energy distillates: Gasoil, heating oil, and related products dominate YTD performance, but their 1m returns turned negative. The model remains constructive via strong sector and equity scores, suggesting this is a mid-cycle consolidation in a tight distillate market rather than an exhaustion top.
• Extreme losers highlight late-cycle downside in livestock and select softs: Lean hogs, coffee, palladium, natural gas, and orange juice are among the worst 1yr performers. The model keeps strong Underweights where sector and macro stay weak (palladium, coffee-like behavior via precious metals), but moderates stance to Neutral where downside looks exhausted (lean hogs, orange juice) or where structural supply–demand may improve (natural gas).
• Copper remains a macro weathervane but not yet an opportunity: Copper enjoys positive momentum and a good rank, but its total model score is dragged down by negative sector, equity, and country macro inputs. This divergence indicates short-term price stability but insufficient confirmation for a sustained pro-growth allocation.

Updated News Links and Interpretation

Energy

Oil: Recent news highlights modest early-November price declines as OPEC+ cuts and strong refinery runs ease near-term supply anxiety. Better inventory data has improved sentiment ahead of winter, but the market still faces geopolitical uncertainty in the Middle East and potential disruptions from US Gulf Coast maintenance. This backdrop is consistent with the model’s Overweight: sector and equity scores signal that, despite near-term softness, the balance of risks into winter remains skewed to tightness. We treat the recent pullback as tactical, not structural.

Natural Gas: News indicates modest price gains on below-average storage entering winter and constrained supply from US shale plus firm LNG export demand. The main risk flagged is unseasonably warm weather capping demand. The model’s Overweight stance is driven by strong sector, equity, and macro scores even against a weak YTD performance. In our view, that combination supports a contrarian long into winter, with weather as the key stop-loss trigger.

Refined Products: Kerosene and related distillates appear prominently in the performance and ranking snapshots, with strong YTD and positive 1m moves in some cases. While they are not explicitly scored in the canonical commodity stance list, we interpret their strength as confirmation of the broader oil complex tightness signaled by the model.

Softs / Agriculture

Cocoa: News flow stresses adverse weather and slower-than-expected output recovery in Ivory Coast and Ghana, sustaining deficit concerns. Demand risk in developed markets is acknowledged but secondary for now. This aligns with cocoa’s high total score and Overweight stance: supply constraints dominate, supported by strong country macro scores for agriculture exporters, justifying continued allocation despite strong past returns.

Grains and Other Softs: While not all have specific news entries, the macro-country confirmation data show broad, modest positive contributions across key producers such as Argentina, Brazil, India, Indonesia, and the United States. Combined with strong model scores for rough rice, sugar, canola, and cotton, this macro context supports the notion that recent agricultural price softness is a pause within a structurally supported complex rather than a reversal.

Industrial Metals

Copper: News points to modest price declines on the back of weaker Chinese industrial output and global manufacturing softness, despite stable supply from Latin American mines. The risks highlighted are further macro deterioration and substitution in green technologies. This corresponds directly to the model’s Neutral call: positive price momentum alone is insufficient when sector, equity, and macro scores are negative. We see no reason to front-run a cyclical upturn absent better data from China and global PMIs.

3Mo Aluminum: Recent commentary notes demand weakness from autos and construction, rising exchange inventories, and uncertainty around Chinese demand. That reinforces the model’s Underweight stance and negative total score. Any future improvement in policy support from China could reverse this, but at present both fundamentals and model inputs argue for staying short or underweight.

Precious Metals

Gold: News suggests a moderate price uptick driven by geopolitical tensions and inflation expectations, tempered by rising real yields and a stronger dollar. Central banks’ cautious stance on further hikes provides some support, but not enough to offset macro headwinds. The model remains firmly Underweight gold, heavily influenced by deeply negative sector and country scores and weak mining equities. We interpret the recent uptick as event-driven noise; without sustained declines in real yields, rallies look fadeable.

Silver: Commentary highlights modest declines amid a stronger dollar and subdued industrial demand, with uncertainty around Chinese consumption and real-yield dynamics. The model’s strong Underweight in silver, combining negative momentum, sector, and macro scores, is consistent with this narrative. Importantly, silver’s industrial link means it also suffers from the same cyclical headwinds depressing industrial metals, with no clear offsetting safe-haven bid.

Recommended Positioning

We recommend investors align closely with the MidLincoln Commodity Stance Model while adding judgment around crowded winners and late-cycle losers. Implementation should use both the canonical commodities and the instrument-level leaders and laggards from the ranking, long/short, and performance snapshots.

Related Commodity Pages

• 3Mo Aluminum
• Orange Juice
• Natural Gas
• Coking Coal

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