Natural Gas Seasonal Spread

Spreads have reduced risk because you are hedged between months. If prices crash, both legs fall together (losses offset). Margin requirements are lower - CME even lists Henry Hub calendar spreads as a single instrument with a margin credit. You are betting on the relationship between months, not absolute direction, which makes seasonal patterns more tradeable.

The best window is August-October. This is before the winter premium fully builds. Enter when spreads are below the 5-year average for that date. Avoid entering in December when premiums are already at peak.

Typical holding period is 4-10 weeks. Seasonal patterns take time to develop. These are not day trades. Monitor weekly but don't overtrade. Exit when the target is reached, the stop is hit, or the thesis changes.

Storage is crucial. Normal storage: seasonal patterns work normally. Low storage: amplifies the winter premium (bullish). High storage: dampens the winter premium (bearish). Check the EIA storage report every Thursday (10:30 AM ET) and compare to the 5-year average; in Canada, also watch Western Canadian and Dawn storage for the AECO basis.

Injection season (April-October): utilities inject gas into underground storage for winter; prices tend to be lower. Withdrawal season (November-March): utilities withdraw gas for heating; prices tend to be higher due to demand. In Western Canada, spring/summer is also pipeline-maintenance season, which can pressure AECO further.

Calculate the Z-score: (Current Spread - 5-year Average for this date) / Standard Deviation. Z-score < -1.5 = cheap (potential long). Z-score > 1.5 = expensive (potential short). Build a database of historical spreads to calculate averages.

Roll positions 2-3 weeks before near-month expiry. Close the existing spread and open a new spread in the next cycle. Calculate the roll cost (difference between old and new spread). In contango, rolling costs money; in backwardation, it earns. Note that Henry Hub NG is physically delivered, while QG and MNG are cash-settled.

Cold forecasts during the pre-winter window accelerate premium buildup - enter earlier if a cold winter is forecast. Warm forecasts dampen the pattern - use smaller positions or wait. Use weather spikes for profit-taking.

Limit individual seasonal trades to 2-3% risk of capital. Total seasonal exposure should not exceed 10% of the portfolio. This prevents overexposure to seasonal-pattern failure while allowing meaningful participation.

Implement a time stop. If there is no meaningful progress after 4-6 weeks and fundamentals haven't changed, consider exiting. The seasonal pattern may not develop this year. Don't hold indefinitely hoping for the pattern.

Collect 10+ years of daily spread data. Calculate seasonal averages and standard deviations by date. Add regime indicators (storage, weather, and for Canada the LNG-export/egress regime). Test statistical significance. Use machine learning for complex patterns. Walk-forward test to validate.

Compare Henry Hub patterns with the AECO-Henry Hub basis and with European TTF/Asian JKM. When markets show the same seasonal signal, conviction is higher. Divergence - such as an unexpectedly tight or wide AECO basis - may indicate a Western Canadian-specific factor or an arbitrage opportunity. Global confirmation reduces pattern-failure risk.

Long calls on winter contracts for defined-risk bullish exposure. Bull call spreads reduce premium cost. Protective puts on futures spreads for downside protection. Combine a futures spread with long calls for enhanced upside with defined risk - all available as liquid options on Henry Hub futures.

Use the CME exchange-recognized calendar spread order when available for guaranteed execution. If legging, enter the illiquid leg first (usually the far/summer month). Execute during US/Canadian hours (approx. 9:00 AM-2:30 PM ET) for best liquidity, and avoid the EIA report window (Thursday 10:30 AM ET). Scale large positions over multiple sessions to reduce market impact.

Track performance by seasonal pattern, regime (storage/weather/LNG-egress), and year. Calculate win rate, profit factor, and max drawdown for each pattern. Compare to historical patterns. Optimize entry timing, position sizing, and exit rules annually based on results.