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First Trust Global Wind Energy ETF Stock Price Chart

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

First Trust Global Wind Energy ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 15.65 Sell
20-day SMA: 16.24 Sell
50-day SMA: 17.01 Sell
200-day SMA: 16.38 Sell
8-day EMA: 15.74 Sell
20-day EMA: 16.14 Sell
50-day EMA: 16.62 Sell
200-day EMA: 16.54 Sell

First Trust Global Wind Energy ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.42 Sell
Relative Strength Index (14 RSI): 31.9 Sell
Chaikin Money Flow: 13351 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (15.78 - 17.06) Sell
Bollinger Bands (100): (16.31 - 17.47) Sell

First Trust Global Wind Energy 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 First Trust Global Wind Energy ETF Stock

Is First Trust Global Wind Energy ETF Stock a Buy?

FAN Technical Analysis vs Fundamental Analysis

Sell
33
First Trust Global Wind Energy ETF (FAN) is a Sell

Is First Trust Global Wind Energy ETF a Buy or a Sell?

First Trust Global Wind Energy ETF Stock Info

Market Cap:
0
Price in USD:
15.55
Share Volume:
25.2K

First Trust Global Wind Energy ETF 52-Week Range

52-Week High:
18.15
52-Week Low:
14.69
Sell
33
First Trust Global Wind Energy ETF (FAN) is a Sell

First Trust Global Wind Energy ETF Share Price Forecast

Is First Trust Global Wind Energy ETF Stock a Buy?

Technical Analysis of First Trust Global Wind Energy ETF

Should I short First Trust Global Wind Energy ETF stock?

* First Trust Global Wind Energy 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.