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First Trust Materials AlphaDEX® 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 FXZ is experiencing selling pressure, which indicates risk of future bearish movement.

First Trust Materials AlphaDEX® ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 65.56 Sell
20-day SMA: 66.01 Sell
50-day SMA: 65.5 Sell
200-day SMA: 66.63 Sell
8-day EMA: 65.21 Sell
20-day EMA: 65.71 Sell
50-day EMA: 65.7 Sell
200-day EMA: 65.83 Sell

First Trust Materials AlphaDEX® ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.29 Sell
Relative Strength Index (14 RSI): 38.41 Sell
Chaikin Money Flow: -11496 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

First Trust Materials AlphaDEX® 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 Materials AlphaDEX® ETF Stock

Is First Trust Materials AlphaDEX® ETF Stock a Buy?

FXZ Technical Analysis vs Fundamental Analysis

Sell
36
First Trust Materials AlphaDEX® ETF (FXZ) is a Sell

Is First Trust Materials AlphaDEX® ETF a Buy or a Sell?

First Trust Materials AlphaDEX® ETF Stock Info

Market Cap:
0
Price in USD:
63.69
Share Volume:
19.16K

First Trust Materials AlphaDEX® ETF 52-Week Range

52-Week High:
72.27
52-Week Low:
60.30
Sell
36
First Trust Materials AlphaDEX® ETF (FXZ) is a Sell

First Trust Materials AlphaDEX® ETF Share Price Forecast

Is First Trust Materials AlphaDEX® ETF Stock a Buy?

Technical Analysis of First Trust Materials AlphaDEX® ETF

Should I short First Trust Materials AlphaDEX® ETF stock?

* First Trust Materials AlphaDEX® 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.