Financhill
Back

Colonial Coal International Corp. 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 CAD.V is experiencing buying pressure, which is a positive indicator for future bullish movement.

Colonial Coal International Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.98 Sell
20-day SMA: 1.95 Buy
50-day SMA: 1.71 Buy
200-day SMA: 1.53 Buy
8-day EMA: 1.96 Buy
20-day EMA: 1.91 Buy
50-day EMA: 1.76 Buy
200-day EMA: 1.66 Buy

Colonial Coal International Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.08 Buy
Relative Strength Index (14 RSI): 58.78 Buy
Chaikin Money Flow: 85447 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.77 - 2.03) Buy
Bollinger Bands (100): (1.37 - 1.79) Buy

Colonial Coal International 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 Colonial Coal International Corp. Stock

Is Colonial Coal International Corp. Stock a Buy?

CAD.V Technical Analysis vs Fundamental Analysis

Sell
40
Colonial Coal International Corp. (CAD.V) is a Sell

Is Colonial Coal International Corp. a Buy or a Sell?

Colonial Coal International Corp. Stock Info

Market Cap:
359M
Price in USD:
1.97
Share Volume:
85.4K

Colonial Coal International Corp. 52-Week Range

52-Week High:
2.14
52-Week Low:
1.13
Sell
40
Colonial Coal International Corp. (CAD.V) is a Sell

Colonial Coal International Corp. Share Price Forecast

Is Colonial Coal International Corp. Stock a Buy?

Technical Analysis of Colonial Coal International Corp.

Should I short Colonial Coal International Corp. stock?

* Colonial Coal International 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.