1. Executive Summary
Signal Coverage — Natural Gas
| Asset Class | Trading Symbol | Name |
|---|---|---|
| Futures | NG | Natural Gas Futures |
| Futures | QG | E-mini Natural Gas Futures |
| ETF | UNG | United States Natural Gas Fund |
NG Macro Review
2023: Natural gas prices experienced a dramatic collapse in 2023 after the historic spike of 2022, with Henry Hub falling to multi-year lows near $2/MMBtu as a combination of record U.S. production, mild winter weather, and well-supplied European storage weighed heavily on the market. The geopolitical premium embedded during the acute phase of the Russia-Ukraine energy crisis largely unwound as Europe successfully diversified away from Russian pipeline gas through accelerated LNG imports and demand destruction, removing a key bullish catalyst. Analysts broadly characterized this as a regime shift from scarcity-driven pricing back toward a fundamentals-driven, supply-abundant environment, with sentiment reaching bearish extremes and speculative positioning hitting historically short levels by mid-year.
2024: Natural gas staged a partial recovery in 2024, though price action remained volatile and range-bound for much of the year as the market balanced record Permian and Appalachian output against gradually improving LNG export demand tied to new U.S. liquefaction capacity coming online. Geopolitically, continued uncertainty around Middle East tensions and residual European energy security concerns provided intermittent support, while the ongoing Russia-Ukraine conflict entered a more entrenched phase that kept European buyers structurally committed to long-term LNG contracting. The Federal Reserve's pivot away from its aggressive tightening cycle, moving from a hold posture toward the beginning of rate cuts in the second half of the year, provided a modest tailwind for energy commodities broadly, though natural gas remained well below its 2022 extremes and analysts were divided on whether a durable floor had been established.
2025: Natural gas markets in 2025 are expected to tighten meaningfully as several major U.S. LNG export projects reach commercial operations, absorbing incremental production and reducing the domestic supply overhang that suppressed prices through 2023 and much of 2024. Geopolitical dynamics remain a significant driver, with European energy policy continuing to evolve in response to the prolonged Russia-Ukraine conflict and any escalation or ceasefire scenario carrying material price implications for global LNG flows and spot pricing. Analysts are increasingly debating whether 2025 represents a structural inflection point, a transition from oversupply to a tighter supply-demand balance, with rate policy expected to continue easing gradually, supporting capital flows into energy infrastructure and lending credibility to a more constructive medium-term outlook.
2026: By 2026, natural gas markets are projected to operate in a materially tighter regime, with cumulative U.S. LNG export capacity additions having absorbed a significant portion of domestic production growth and global demand, particularly from Asia and Europe, providing a more durable pricing floor. Geopolitical risk remains embedded in the outlook, as the resolution or continuation of the Russia-Ukraine conflict will have lasting consequences for European pipeline infrastructure, long-term contracting behavior, and the pace of energy transition investment across the continent. Analysts broadly anticipate that if demand growth from AI-driven power consumption, industrial reshoring, and emerging market electrification materializes as projected, natural gas could approach or test the upper end of its post-2022 trading range, representing a potential bullish extreme relative to the depressed levels seen in 2023.
Signal Performance Overview
2023: The strategy posted its strongest annual return of the backtest period, driven almost entirely by a powerful recovery across Q2 and Q3 as natural gas rebounded from its early-year collapse, with Q2 alone producing the highest quarterly Sharpe of the entire dataset. Q1 was the single worst quarter across all years, with a deep drawdown that matched the full-year MDD of -26.09%, suggesting the signal was badly positioned against the sharp winter-to-spring price reversal that characterized NG in early 2023. Win rate climbed meaningfully above 50% in the positive quarters, indicating the signal found genuine directional traction once the trend stabilized.
2024: This was the weakest year of the backtest, with a negative annual return and the second-largest full-year MDD, reflecting a natural gas market defined by persistent oversupply pressure and erratic price behavior that consistently wrong-footed the signal. Q4 was the most damaging single quarter across the entire dataset, the Sharpe of -2.840 is the lowest recorded, and the win rate dropped to 43.18%, meaning the signal was directionally incorrect on the majority of trades during a period of significant price dislocation. The two middle quarters were essentially flat in aggregate, suggesting the signal struggled to generate conviction in either direction during a low-volatility, range-bound summer and spring environment.
2025: The strategy recovered strongly, producing the second-best annual return of the backtest, with the gains distributed reasonably across all four quarters rather than concentrated in a single outlier period. Q1 and Q3 were the primary contributors, each with Sharpe ratios above 1.2, consistent with a natural gas market that offered cleaner trending behavior during those windows relative to the choppiness seen in 2024. Q2 was the soft spot, with a near-zero Sharpe and a win rate just below 50%, hinting at a brief mid-year consolidation phase where the signal's edge temporarily degraded, though the drawdown remained contained relative to prior difficult quarters.
2026: The partial-year data through Q2 presents a mixed picture: Q1 was a strong start with a Sharpe above 1.2 and a modest drawdown, but Q2 reversed sharply with the second-worst quarterly Sharpe in the dataset and a negative return that nearly offset Q1's gains. The full-year 2026 figure reflects only these two quarters and shows a modestly positive net outcome, but the Q2 deterioration, marked by a win rate below 50% and a Sharpe of -2.415, suggests the signal encountered a hostile regime shift, potentially tied to renewed volatility or a trend reversal in NG pricing dynamics mid-year. It is too early to draw conclusions about full-year 2026 behavior, but the intra-year variance is already notable.
2. Trading Strategy
In order to produce the metrics below we use the signal in combination with the trading strategy below:
- Leverage: No leverage is applied for this strategy and metrics
- Positions:
- Entry positions: Every 5 minutes (between 09:45 and 14:00 ET) we decide to take a long, short or no position using 1/51 of our starting portfolio for the day (there are 51 possible openings per day). Each long/short position is then split into 5 parts and executed on each minute for the next 5 minutes following the decision. There is no sizing adjustment.
- Exit positions: We exit all positions at the end of the day. The exits are split over five minutes (15:55–16:00 ET).
- Costs: 2.5 bp round-turn assumption. Extra exchange/clearing fees not included.
- Contract series & roll: Front-month continuous. Switch at the open T–5 trading days before expiration; stop trading the expiring contract and start trading the next.
For detailed examples, flowcharts, and a full walkthrough of the trading strategy, see Benchmark Trading Strategy.
3. Model Training Data and Timeframe
| Category | Value |
|---|---|
| Model Family | Pythia |
| Version | v0.8.0 |
| Exchange | CME Globex |
| Data | Level II Limit Order Book (10 levels) |
| Retrained Time Period | 20Q1 to 24Q4 |
| Final Validation Period | 25Q1 to 26Q2 |
4. Performance Metrics
Table 1: Quarterly and Annual Metrics
| Quarter | Return (%) | Sharpe | Win (%) | Calmar | Ann. Vol (%) | MDD (%) |
|---|---|---|---|---|---|---|
| 2026 | 6.626 | 0.669 | 51.780 | 1.051 | 19.037 | -12.128 |
| 26Q2 | -4.976 | -2.415 | 49.243 | -2.548 | 7.748 | -7.343 |
| 26Q1 | 8.220 | 1.200 | 52.455 | 5.828 | 31.942 | -6.577 |
| 2025 | 17.938 | 0.830 | 50.449 | 1.689 | 23.035 | -11.320 |
| 25Q4 | 2.430 | 0.494 | 49.465 | 2.248 | 23.061 | -5.064 |
| 25Q3 | 4.272 | 1.266 | 53.122 | 2.763 | 13.286 | -6.086 |
| 25Q2 | 1.164 | -0.022 | 49.740 | -0.057 | 18.272 | -7.172 |
| 25Q1 | 9.516 | 1.321 | 48.919 | 5.056 | 38.462 | -10.049 |
| 2024 | -9.333 | -0.463 | 49.197 | -0.420 | 19.588 | -21.580 |
| 24Q4 | -11.732 | -2.840 | 43.179 | -2.011 | 13.220 | -18.670 |
| 24Q3 | 0.861 | -0.063 | 51.638 | -0.121 | 17.742 | -9.218 |
| 24Q2 | -2.606 | -0.421 | 51.752 | -0.754 | 20.873 | -11.657 |
| 24Q1 | 4.773 | 0.695 | 49.895 | 2.235 | 29.463 | -9.153 |
| 2023 | 13.123 | 0.500 | 54.008 | 0.498 | 25.949 | -26.090 |
| 23Q4 | 10.720 | 1.514 | 53.571 | 3.476 | 35.299 | -15.374 |
| 23Q3 | 3.700 | 1.022 | 57.456 | 1.665 | 13.817 | -8.479 |
| 23Q2 | 13.746 | 1.851 | 56.988 | 9.342 | 33.741 | -6.684 |
| 23Q1 | -13.484 | -2.365 | 48.184 | -1.664 | 18.352 | -26.090 |
5. Next Steps
Download historical predictions for this month using the Client API and confirm performance in your own test harness.
- Sign-up: Start Free Trial
- API Documentation: https://quantumsignals.ai/documentation
6. Contact
Please reach out with any questions or comments at: info[at]quantumsignals.ai
