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First Trust Emerging Markets Eq Sel 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 RNEM is experiencing slight buying pressure.

First Trust Emerging Markets Eq Sel ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 52.14 Sell
20-day SMA: 52.65 Sell
50-day SMA: 53.52 Sell
200-day SMA: 52.43 Sell
8-day EMA: 51.9 Sell
20-day EMA: 52.56 Sell
50-day EMA: 53.08 Sell
200-day EMA: 52.22 Sell

First Trust Emerging Markets Eq Sel ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.58 Sell
Relative Strength Index (14 RSI): 32.07 Sell
Chaikin Money Flow: -29 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (52.08 - 53.7) Sell
Bollinger Bands (100): (52.16 - 54.14) Sell

First Trust Emerging Markets Eq Sel 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 Emerging Markets Eq Sel ETF Stock

Is First Trust Emerging Markets Eq Sel ETF Stock a Buy?

RNEM Technical Analysis vs Fundamental Analysis

Buy
52
First Trust Emerging Markets Eq Sel ETF (RNEM) is a Buy

Is First Trust Emerging Markets Eq Sel ETF a Buy or a Sell?

First Trust Emerging Markets Eq Sel ETF Stock Info

Market Cap:
0
Price in USD:
50.95
Share Volume:
558

First Trust Emerging Markets Eq Sel ETF 52-Week Range

52-Week High:
55.70
52-Week Low:
48.26
Buy
52
First Trust Emerging Markets Eq Sel ETF (RNEM) is a Buy

First Trust Emerging Markets Eq Sel ETF Share Price Forecast

Is First Trust Emerging Markets Eq Sel ETF Stock a Buy?

Technical Analysis of First Trust Emerging Markets Eq Sel ETF

Should I short First Trust Emerging Markets Eq Sel ETF stock?

* First Trust Emerging Markets Eq Sel 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.