Moving Averages in Natural Gas Markets
The 50-day and 200-day simple moving averages serve as the foundational trend filters for natural gas futures. When the front-month contract trades above both, the market is in a structural uptrend; below both, a downtrend. The 50/200 crossover, commonly called the golden cross or death cross, carries extra weight in gas because the commodity is notoriously mean-reverting. Traders watch the slope of the 200-day, not just price position. A flattening 200-day after a prolonged rally often precedes distribution by commercial hedgers. For shorter horizons, the 20-day exponential moving average tracks the momentum of weather-driven rallies. A close below the 20-day EMA after a three-day heat wave forecast typically signals that speculative longs are liquidating. Use moving averages on continuous contracts, but always confirm against the front-month chart to avoid rollover distortions.
Relative Strength Index (RSI) with a 14-Period Lookback
Natural gas routinely hits RSI readings above 70 or below 30 for weeks during seasonal transitions. Unlike equities, overbought does not automatically mean reversal. The key is divergence. When price makes a higher high but RSI prints a lower high, especially during injection season (April–October), it warns that buying pressure is fading. Conversely, a lower low in price with a higher low in RSI during withdrawal season (November–March) suggests sellers are exhausted. Use RSI on daily and 4-hour charts. The 50 level acts as a bull/bear midline. A sustained break above 50 after an oversold reading often confirms a trend change. Avoid using RSI alone; combine it with volume or open interest.
Bollinger Bands and Volatility Squeezes
Natural gas is a volatility asset. Bollinger Bands (20-period, 2 standard deviations) expand during weather events and contract during shoulder months. A “squeeze”—when band width falls to a 6-month low—precedes explosive moves. In gas, squeezes often resolve in the direction of the next 8–14 day weather model. If bands contract while price hugs the middle band, prepare for a breakout. A close outside the upper band during a heat dome does not mean sell; it means trend continuation until the band turns horizontal. Use %B (position within bands) to gauge exhaustion. A %B above 1.0 for three consecutive days in July often marks a short-term top.
Volume Profile and Open Interest Analysis
Price alone lies in gas. Volume profile reveals where traders actually transact. The point of control (POC)—the price with the highest volume over a 30-day window—acts as a magnet. When price breaks above the POC on rising volume, it confirms institutional buying. Open interest (OI) is even more critical. Rising price with rising OI means new longs are entering (trend strength). Rising price with falling OI means short covering (unsustainable). Falling price with rising OI means new shorts (trend weakness). Falling price with falling OI means long liquidation (possible bottom). Track OI changes daily from the CFTC and exchange data. A sudden 5% drop in OI after a rally is a red flag.
MACD Histogram and Signal Line Crossovers
The Moving Average Convergence Divergence (12,26,9) works best on 4-hour and daily gas charts. The histogram—the difference between MACD and its signal line—provides earlier warnings than the crossover itself. When the histogram shrinks for three consecutive bars while price makes new highs, momentum is decelerating. In gas, this often precedes a weather-driven selloff. A bullish crossover below the zero line is more reliable than one above it, because it catches reversals from oversold conditions. However, during strong trends (e.g., a polar vortex), MACD can stay overbought for weeks. Use it only after confirming with a volatility filter like ATR.
Average True Range (ATR) for Position Sizing and Stops
Natural gas can move 5–10% in a single session. ATR (14-period) tells you the average daily range. If ATR is $0.15 and you place a stop $0.10 away, you will be stopped out by noise. Instead, set stops at 1.5x ATR from entry. ATR also defines regime shifts. When ATR doubles from its 20-day average, the market is in a news-driven panic—reduce position size by half. When ATR falls below its 20-day average for five days, a breakout is imminent. Combine ATR with Bollinger Band width for a “volatility of volatility” read. Never use fixed-dollar stops in gas; they are suicide.
Stochastic Oscillator for Timing Entries
The slow stochastic (14,3,3) excels at timing entries during ranging markets. In gas, ranging markets occur during mild weather (spring/fall). When %K crosses above %D below 20, go long. When %K crosses below %D above 80, go short. The failure swing—where %K dips below 20, rallies, then fails to exceed the prior high—is a powerful short signal. Unlike RSI, stochastic is bounded and faster. Use it on 60-minute charts for intraday weather model updates (e.g., the 12z GFS run). Avoid stochastic during strong trends; it will give constant overbought/oversold false signals.
Commodity Channel Index (CCI) for Extremes
CCI (20-period) measures deviation from the mean. Readings above +100 indicate strong uptrend; below -100 indicate strong downtrend. In gas, CCI extremes often coincide with weather model outliers. A CCI above +200 during a heat wave is a warning that the market has priced in perfection. A CCI below -200 during a mild winter is a warning that the market has priced in disaster. The most reliable signal is a divergence: price makes a new high but CCI fails to exceed +100. That is a classic short setup. Use CCI on daily charts, not intraday, to filter noise.
Fibonacci Retracements and Extensions
Natural gas respects Fibonacci levels because traders collectively watch them. After a major move (e.g., from $2.50 to $6.00), the 38.2%, 50%, and 61.8% retracements act as support. The 61.8% is the most critical; a break below it often means the trend is over. Extensions (127.2%, 161.8%) project targets during weather-driven rallies. Draw Fibonacci from swing low to swing high on the continuous contract. In gas, the 50% level often coincides with the 200-day moving average, creating a confluence zone. When price bounces from a 61.8% retracement plus a bullish RSI divergence, the probability of a reversal is high.
On-Balance Volume (OBV) for Confirmation
OBV accumulates volume on up days and subtracts on down days. In gas, OBV divergences are deadly accurate. If price makes a higher high but OBV makes a lower high, smart money is selling into strength. This often happens before EIA storage reports. Conversely, if price makes a lower low but OBV makes a higher low, accumulation is occurring. Use OBV on daily charts with a 30-day smoothing. A breakout above a 3-month OBV high confirms a new uptrend. Because gas is heavily influenced by algorithmic trading, OBV cuts through the noise of single-day volume spikes from rollover.
Ichimoku Cloud for Trend and Support/Resistance
The Ichimoku Cloud (9,26,52) provides a complete trading system. The cloud (Kumo) acts as dynamic support/resistance. When price is above the cloud, trend is up; below, trend is down. The Tenkan-sen (9) and Kijun-sen (26) crossovers generate signals. In gas, the Kijun-sen (26-period) acts as a magnet during consolidations. A flat Kijun-sen after a rally means the market is deciding. The Chikou Span (lagging line) confirms: if it is above price from 26 periods ago, bullish. The cloud’s thickness indicates volatility—thick cloud means strong support; thin cloud means weak. Use Ichimoku on 4-hour charts for swing trading.
EIA Storage Report and Implied Volatility Indicators
While not a chart indicator, the EIA weekly storage report drives gas prices. Implied volatility (IV) from options markets spikes before the report and collapses after. Track IV percentile: when IV is above 80th percentile, options are expensive—sell strangles. When below 20th percentile, buy straddles. The put/call ratio on gas futures options reveals sentiment. A ratio above 1.5 means excessive fear—contrarian bullish. A ratio below 0.5 means excessive greed—contrarian bearish. Combine IV with the 5-day moving average of the EIA surprise (actual minus consensus). Persistent surprises in one direction create trends.
