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ECN Capital Corp. Stock Price Chart

  • The current trend is relatively stagnant and ECNCF is experiencing slight buying pressure.

ECN Capital Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.21 Buy
20-day SMA: 2.19 Buy
50-day SMA: 2.1 Buy
200-day SMA: 2.06 Buy
8-day EMA: 2.2 Buy
20-day EMA: 2.17 Buy
50-day EMA: 1.92 Buy
200-day EMA: 0.91 Buy

ECN Capital Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.06 Buy
Relative Strength Index (14 RSI): 61.29 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.16 - 2.2) Buy
Bollinger Bands (100): (2.01 - 2.21) Buy

ECN Capital Corp. 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 ECN Capital Corp. Stock

Is ECN Capital Corp. Stock a Buy?

ECNCF Technical Analysis vs Fundamental Analysis

Buy
60
ECN Capital Corp. (ECNCF) is a Buy

Is ECN Capital Corp. a Buy or a Sell?

ECN Capital Corp. Stock Info

Market Cap:
623.2M
Price in USD:
2.21
Share Volume:
100

ECN Capital Corp. 52-Week Range

52-Week High:
2.45
52-Week Low:
1.37
Buy
60
ECN Capital Corp. (ECNCF) is a Buy

ECN Capital Corp. Share Price Forecast

Is ECN Capital Corp. Stock a Buy?

  • ECN Capital Corp. share price is 2.21 while ECNCF 8-day exponential moving average is 2.20, which is a Buy signal.
  • The stock price of ECNCF is 2.21 while ECN Capital Corp. 20-day EMA is 2.17, which makes it a Buy.
  • ECN Capital Corp. 50-day exponential moving average is 1.92 while ECNCF share price is 2.21, making it a Buy technically.
  • ECNCF stock price is 2.21 and ECN Capital Corp. 200-day simple moving average is 0.91, creating a Buy signal.

Technical Analysis of ECN Capital Corp.

Should I short ECN Capital Corp. stock?

* ECN Capital Corp. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.