Based on current macro regime conditions and us crude oil inventories's historical behaviour in similar regimes, the model projects 517,820.14 by 2026-12-31 ( +14.3% from 452,876 today). The 68% confidence range is 479,189.85 to 556,450.44; the wider 95% range is 442,104.77 to 593,535.52. Methodology below the headline.
US Crude Oil Inventories Forecast 2026
Quantitative analysis from 17 observations of US Crude Oil Inventories history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 17 | 22.04% | 10.57% | 2.08 | 56.3% | 6.30% |
| 3Y | 17 | 22.04% | 10.57% | 2.08 | 56.3% | 6.30% |
| 5Y | 17 | 22.04% | 10.57% | 2.08 | 56.3% | 6.30% |
| 10Y | 17 | 22.04% | 10.57% | 2.08 | 56.3% | 6.30% |
| All | 17 | 22.04% | 10.57% | 2.08 | 56.3% | 6.30% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Worst Historical Drawdown[07]
Largest Single-Period Moves[09]
- Feb 20, 20263.81%
- Feb 6, 20262.03%
- Mar 20, 20261.54%
- Mar 13, 20261.39%
- Mar 27, 20261.19%
- Feb 13, 2026-2.10%
- Apr 24, 2026-1.34%
- May 8, 2026-0.94%
- Jan 30, 2026-0.82%
- Jan 23, 2026-0.54%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | -0.68% | 0.0% | 2 |
| February | 1.13% | 75.0% | 4 |
| March | 1.25% | 100.0% | 4 |
| April | -0.11% | 50.0% | 4 |
| May | -0.72% | 0.0% | 2 |
N = 17 OBS · GENERATED 2026-05-17 18:30Z
Forecast Approach
scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.
Key Drivers & Risks
- •OPEC+ decisions
- •US shale production
- •Geopolitics
- •Demand growth
- •Seasonal patterns
Historical Volatility
High: supply disruptions cause outsized moves
Frequently Asked Questions
What factors could push US Crude Oil Inventories higher?▾
The primary drivers that tend to lift US Crude Oil Inventories depend on the current macro regime. Commodities sit at the intersection of monetary and physical reality. Oil and gas prices flow almost directly into headline CPI, while copper and iron ore track global industrial activity ahead of official releases. Tracking each complex alongside its supply signal (EIA inventories, rig counts, seaborne cargo flows) separates genuine demand moves from inventory-cycle noise. Convex tracks these drivers live across the Energy Supply category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push US Crude Oil Inventories lower?▾
The same transmission channels that drive US Crude Oil Inventories higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see US Crude Oil Inventories heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for US Crude Oil Inventories?▾
Historical ranges for US Crude Oil Inventories vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the US Crude Oil Inventories chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the US Crude Oil Inventories forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for US Crude Oil Inventories and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.