CFDs on Natural Gas
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Natural Gas (XNGUSD) | Daily | 24 Mar 2026Structure: Range / Distribution
Location: Upper Range
Supply: 5.00 – 5.27
Pivot: 3.00 – 3.20
Demand: 1.60 – 2.00
Behaviour:
Rejection near supply, rotational behaviour continues.
Invalidation:
Acceptance above supply zone
Continuation:
Rotation within range between defined zones
This analysis
Natural gas have never closed below the 2.8 mark line on weekly bases from last 16 month will be interesting to see this month if manages to hold 2.8 on closing bases can see fresh buying power emerging that can move price higher back towards previous swing high levels . strucure to consider fail if weekly/mont
XNGUSD — Bottom or Reaction? Structure FirstNatural Gas has reacted sharply from a high-confluence support zone, but structure remains corrective, not impulsive.
What just happened:
• Price tagged the 0.707–0.786 retracement (2.67–2.38)
• Confluence with rising trendline
• Immediate rejection → active demand confirmed
What this means:
✔️ Va
Natural Gas (XNGUSD) AnalysisNatural Gas (XNGUSD) Analysis
On the daily chart, NG witnessed an aggressive sell-off from the highs made during early November
Although prices are now testing a long-term support base (blue ascending trendline) and have failed to close below the trendline.
A Classic Bullish Divergence has also be
See all ideas
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.









