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First Trust NASDAQ Cybersecurity 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 CIBR is experiencing buying pressure, which is a positive indicator for future bullish movement.

First Trust NASDAQ Cybersecurity ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 62.86 Sell
20-day SMA: 62.06 Buy
50-day SMA: 60.82 Buy
200-day SMA: 57.17 Buy
8-day EMA: 62.31 Sell
20-day EMA: 62.13 Sell
50-day EMA: 60.91 Buy
200-day EMA: 56.94 Buy

First Trust NASDAQ Cybersecurity ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.43 Buy
Relative Strength Index (14 RSI): 51.7 Buy
Chaikin Money Flow: 477925 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (60.68 - 63.34) Buy
Bollinger Bands (100): (55.97 - 61.51) Buy

First Trust NASDAQ Cybersecurity 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 NASDAQ Cybersecurity ETF Stock

Is First Trust NASDAQ Cybersecurity ETF Stock a Buy?

CIBR Technical Analysis vs Fundamental Analysis

Buy
62
First Trust NASDAQ Cybersecurity ETF (CIBR) is a Buy

Is First Trust NASDAQ Cybersecurity ETF a Buy or a Sell?

First Trust NASDAQ Cybersecurity ETF Stock Info

Market Cap:
0
Price in USD:
62.12
Share Volume:
477.93K

First Trust NASDAQ Cybersecurity ETF 52-Week Range

52-Week High:
65.29
52-Week Low:
47.80
Buy
62
First Trust NASDAQ Cybersecurity ETF (CIBR) is a Buy

First Trust NASDAQ Cybersecurity ETF Share Price Forecast

Is First Trust NASDAQ Cybersecurity ETF Stock a Buy?

Technical Analysis of First Trust NASDAQ Cybersecurity ETF

Should I short First Trust NASDAQ Cybersecurity ETF stock?

* First Trust NASDAQ Cybersecurity 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.