Based on current macro regime conditions and natural gas's historical behaviour in similar regimes, the model projects $3.61 by 2026-12-31 ( +17.7% from $3.06 today). The 68% confidence range is $1.62 to $5.59; the wider 95% range is $-0.28 to $7.49. Methodology below the headline.
Natural Gas Forecast 2026
Quantitative analysis from 1,301 observations of Natural Gas history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +3.3% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 263 | -4.94% | 94.16% | -0.05 | 50.0% | -4.91% |
| 3Y | 766 | 4.53% | 79.81% | 0.06 | 49.4% | 14.20% |
| 5Y | 1,271 | -0.98% | 83.15% | -0.01 | 50.8% | -4.79% |
| 10Y | 1,301 | 3.27% | 82.27% | 0.04 | 51.2% | 17.88% |
| All | 1,301 | 3.27% | 82.27% | 0.04 | 51.2% | 17.88% |
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]
Forward Returns by Macro Regime[04]
How Natural Gas has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Low (<15) | 262 | -1.18% | 6.03% | 39.81% | 32.85% | 78.9% |
| Normal (15-25) | 844 | 3.60% | 11.64% | 17.08% | -1.15% | 49.2% |
| Elevated (25-40) | 176 | 6.06% | -5.88% | -44.56% | -52.29% | 7.5% |
| Extreme (>40) | 4 | n/a | n/a | n/a | n/a | n/a |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 540 | -2.73% | -5.63% | 2.97% | -12.52% | 42.6% |
| Flat (0-100bps) | 574 | 6.60% | 17.62% | -11.68% | -19.87% | 37.3% |
| Steep (>100bps) | 163 | 8.96% | 25.06% | 95.81% | 100.69% | 96.3% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 764 | 5.93% | 21.13% | 54.23% | 43.31% | 82.1% |
| Normal (350-500bps) | 470 | -2.89% | -7.73% | -26.49% | -23.27% | 18.3% |
| Stressed (>500bps) | 53 | 11.95% | -23.59% | -52.72% | -55.72% | 0.0% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 115 | 6.83% | 51.91% | 142.86% | 155.90% | 100.0% |
| Neutral (middle) | 336 | 3.93% | 15.12% | 35.06% | 20.59% | 67.3% |
| Strong (top tercile) | 819 | 2.01% | 1.94% | -1.73% | -14.11% | 41.8% |
Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.
Lead-Lag Relationships[05]
For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads Natural Gas; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| Trade-Weighted Dollar | FX driver | +41d | 0.094 | -0.024 | weak |
| NFCI | Financial conditions | +36d | 0.082 | -0.046 | weak |
| Baa-10Y Spread | Credit risk (slow) | -23d | 0.081 | -0.041 | weak |
| 10Y Treasury Yield | Discount-rate driver | +46d | -0.078 | -0.006 | weak |
| HY OAS Spread | Credit risk leader | -23d | 0.073 | -0.043 | weak |
| Initial Jobless Claims | Labor leader | -12d | 0.072 | 0.013 | weak |
| VIX | Volatility leader | -43d | 0.072 | -0.037 | weak |
| 10Y-2Y Yield Spread | Recession leader | -48d | 0.069 | -0.016 | weak |
| Copper | Global growth proxy | -13d | -0.065 | -0.009 | weak |
| U-Mich Consumer Sentiment | Survey leader | 0d | 0.000 | 0.000 | weak |
Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.
Historical Analogs[06]
Periods where Natural Gas sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.
| DATE | VALUE | +30D | +90D | +1Y |
|---|---|---|---|---|
| Apr 25, 2025 | 2.9370 | 23.77% | 4.32% | -8.24% |
| Nov 15, 2024 | 2.8230 | 28.69% | 44.00% | 54.48% |
| Jun 24, 2024 | 2.8110 | -28.50% | 1.21% | 21.17% |
| Jan 12, 2024 | 3.3130 | -51.25% | -14.22% | 19.77% |
| Oct 13, 2023 | 3.2360 | -11.77% | -46.48% | -22.93% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Jan 27, 202246.48%
- Jan 26, 202628.91%
- Jan 20, 202625.91%
- Apr 29, 202425.77%
- Jan 21, 202624.78%
- Jan 29, 2026-47.48%
- Jan 28, 2022-25.95%
- Feb 2, 2026-25.65%
- Jan 30, 2024-16.59%
- Jun 30, 2022-16.53%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 0.13% | 54.9% | 102 |
| February | -0.24% | 46.9% | 96 |
| March | 0.14% | 51.4% | 109 |
| April | 0.37% | 52.3% | 128 |
| May | 0.43% | 52.8% | 123 |
| June | 0.12% | 55.3% | 103 |
| July | 0.14% | 45.3% | 106 |
| August | 0.30% | 50.5% | 111 |
| September | 0.54% | 59.2% | 103 |
| October | 0.31% | 47.3% | 110 |
| November | 0.16% | 50.5% | 103 |
| December | -0.75% | 47.2% | 106 |
N = 1,301 OBS · GENERATED 2026-05-17 17:00Z
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.
Consensus source: Futures curve
Key Drivers & Risks
- •Supply disruptions
- •Demand growth
- •Dollar strength
- •Geopolitics
- •Weather
Historical Volatility
High: 20-50% annual swings common
How Natural Gas Forecasts Have Held Up Historically
Natural gas forecasts have the worst track record of any major commodity. Median absolute miss versus prior-year futures curve is roughly 35%, with the 2022 European gas crisis spike (TTF to €340/MWh, US Henry Hub to $9.68), the 2020 COVID collapse (sub-$2), and the multi-decade winter spikes (Polar Vortex 2014, February 2021 Texas freeze) all representing 50%+ misses.
Regime-conditional models on natural gas perform poorly because gas is dominated by storage levels, weather, and regional pipeline constraints that have no macro analogue. Directional accuracy on monthly windows is approximately 55%, the lowest of any liquid commodity. Storage-level normalization is the single most-reliable mean-reversion signal but operates on a 6-12 month horizon.
Regime Sensitivity for Natural Gas
Natural gas regime sensitivity runs through storage levels and weather rather than macro variables. The five-year storage range (typically 3,200-3,800 Bcf at end-summer injection) is the cleanest single regime variable: storage above the 5-year max compresses prices toward marginal-cost-of-production floors near $2; storage below the 5-year min lifts prices into the $4-6 range.
The April 2026 setup has Henry Hub trading in a balanced range with storage near the 5-year average. The regime conditional therefore reads as neutral on direction with the central projection near the historical seasonal mean. Weather variability dominates the 30-90 day window; LNG export capacity expansion ($30B+ in new US capacity through 2026-2028) is the dominant 12-24 month driver.
What Drives Natural Gas Forecast Errors
Three structural issues drive natural gas forecast errors. First, weather is the dominant short-term variable and is genuinely unpredictable beyond 14 days. Polar Vortex 2014 and February 2021 Texas freeze each spiked spot prices 200-500% in two-week windows that no forecast captured.
Second, US LNG export capacity has grown from zero in 2015 to roughly 14 Bcf/day in 2026, fundamentally changing US gas pricing from a domestic-storage equation to a globally-linked equation. The regime classifier doesn't have a 25-year history of this regime.
Third, regional pipeline constraints produce basis dislocations that swamp the underlying Henry Hub price for end users. New England winter basis can hit $20+ per MMBtu when pipelines are constrained even with Henry Hub at $3. Models that forecast Henry Hub alone miss the regional risk entirely.
How to Use This Forecast in Practice
For natural gas, the regime conditional is most useful as a directional anchor over 6-12 months. Within any month, weather and storage drawdown rates dominate.
The cleanest single signal-to-noise filter is the EIA weekly storage report against the 5-year range. Storage builds tracking above the 5-year max during injection season flag downside risk; draws tracking below the 5-year min during heating season flag upside risk. The 68% band on natural gas should be treated as 50%+ wider than the historical bootstrap implies in any month with active weather risk (December-February heating, July-August cooling).
Frequently Asked Questions
What factors could push Natural Gas higher?▾
The primary drivers that tend to lift Natural Gas 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 Commodities 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 Natural Gas lower?▾
The same transmission channels that drive Natural Gas 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 Natural Gas 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 Natural Gas?▾
Historical ranges for Natural Gas 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 Natural Gas chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the Natural Gas 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.
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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.