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Range Global LNG Ecosystem Index ETF Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and LNGZ is experiencing buying pressure, which is a positive indicator for future bullish movement.

Range Global LNG Ecosystem Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 29.47 Sell
20-day SMA: 28.58 Buy
50-day SMA: 29.06 Buy
200-day SMA: 27.81 Buy
8-day EMA: 29.33 Sell
20-day EMA: 28.94 Buy
50-day EMA: 28.84 Buy
200-day EMA: 20.34 Buy

Range Global LNG Ecosystem Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.25 Buy
Relative Strength Index (14 RSI): 53.67 Buy
Chaikin Money Flow: 511 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (27.82 - 29.34) Buy
Bollinger Bands (100): (27.84 - 29.64) Buy

Range Global LNG Ecosystem Index ETF Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Range Global LNG Ecosystem Index ETF Stock

Is Range Global LNG Ecosystem Index ETF Stock a Buy?

LNGZ Technical Analysis vs Fundamental Analysis

Sell
35
Range Global LNG Ecosystem Index ETF (LNGZ) is a Sell

Is Range Global LNG Ecosystem Index ETF a Buy or a Sell?

Range Global LNG Ecosystem Index ETF Stock Info

Market Cap:
0
Price in USD:
29.17
Share Volume:
511

Range Global LNG Ecosystem Index ETF 52-Week Range

52-Week High:
30.94
52-Week Low:
25.39
Sell
35
Range Global LNG Ecosystem Index ETF (LNGZ) is a Sell

Range Global LNG Ecosystem Index ETF Share Price Forecast

Is Range Global LNG Ecosystem Index ETF Stock a Buy?

Technical Analysis of Range Global LNG Ecosystem Index ETF

Should I short Range Global LNG Ecosystem Index ETF stock?

* Range Global LNG Ecosystem Index ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.