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Stock GBPGNF - Share trades in FOREX

  • Daily Support: 11852.15
  • Daily Resistance: 11852.15

Short term support and resistance levels are 11847.84 and 11774.24
The support & resistance points are valid for intra day trading.

Also take a look at technical analysis reports for more details like moving averages, support and resistance.

Moving Averages for

  • 5Day Average: 11847.84
  • 12Day Average: 11811.02
  • 20Day Average: 11774.24
  • 50Day Average: 11727.4
  • 100Day Average: 11759.49
  • 150Day Average: 11787.98
  • 200Day Average: 11726.8

GBPGNF Indicators & signals

Indicator MACD (12,26,9)

11816.58, 11779.89, 26.41
Indicator MACD is in positive zone

Indicator ADX (14)

21.47, 59.94, 38.75
Indicator ADX is indicating that momentum is weak.
Indicator ADX is showing that momentum is towards buying

Indicator RSI (14)

Current RSI is: 55
Indicator RSI is indicating buying momentum and stock might rise.

Recent prices of GBPGNF are as follows: Daily volume is divided by 10 day averaged volume

Date Close Range Change % Volume
13 Thu Aug 2026 11852.14640 11852.14640 to 11852.14640 -0.18% 1.11 times
12 Wed Aug 2026 11873.19480 11873.19480 to 11873.19480 0.19% 0 times
11 Tue Aug 2026 11850.99400 11850.99400 to 11850.99400 -0.06% 1.11 times
10 Mon Aug 2026 11858.32640 11858.32640 to 11858.32640 0.46% 1.11 times
07 Fri Aug 2026 11804.55560 11804.55560 to 11804.55560 -0.15% 1.11 times
06 Thu Aug 2026 11822.54520 11822.54520 to 11822.54520 -0.06% 1.11 times
05 Wed Aug 2026 11829.85830 11829.85830 to 11829.85830 0.22% 1.11 times
04 Tue Aug 2026 11803.63840 11803.63840 to 11803.63840 -0.13% 1.11 times
03 Mon Aug 2026 11818.78180 11818.78180 to 11818.78180 0.13% 1.11 times
31 Fri Jul 2026 11802.93760 11802.93760 to 11802.93760 0.48% 1.11 times
30 Thu Jul 2026 11747.07230 11747.07230 to 11747.07230 0.68% 1.11 times
29 Wed Jul 2026 11668.15510 11668.15510 to 11668.15510 0.11% 0 times

These are . Click the links below to switch between charts

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Learn how to correctly identify trends, support, resistance & entry exit points using Simple moving averages here.

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