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First Trust Core Investment Grade 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 FTCB is experiencing selling pressure, which indicates risk of future bearish movement.

First Trust Core Investment Grade ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 20.86 Sell
20-day SMA: 20.92 Sell
50-day SMA: 21.31 Sell
200-day SMA: 20.98 Sell
8-day EMA: 20.86 Sell
20-day EMA: 20.96 Sell
50-day EMA: 21.14 Sell
200-day EMA: 21.03 Sell

First Trust Core Investment Grade ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.13 Sell
Relative Strength Index (14 RSI): 35.12 Sell
Chaikin Money Flow: -24218 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

First Trust Core Investment Grade 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 Core Investment Grade ETF Stock

Is First Trust Core Investment Grade ETF Stock a Buy?

FTCB Technical Analysis vs Fundamental Analysis

Sell
13
First Trust Core Investment Grade ETF (FTCB) is a Sell

Is First Trust Core Investment Grade ETF a Buy or a Sell?

First Trust Core Investment Grade ETF Stock Info

Market Cap:
0
Price in USD:
20.81
Share Volume:
31.35K

First Trust Core Investment Grade ETF 52-Week Range

52-Week High:
22.69
52-Week Low:
20.21
Sell
13
First Trust Core Investment Grade ETF (FTCB) is a Sell

First Trust Core Investment Grade ETF Share Price Forecast

Is First Trust Core Investment Grade ETF Stock a Buy?

Technical Analysis of First Trust Core Investment Grade ETF

Should I short First Trust Core Investment Grade ETF stock?

* First Trust Core Investment Grade 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.