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Nordic American Tankers Stock Price Chart

  • The current trend is relatively stagnant and NAT is experiencing buying pressure, which is a positive indicator for future bullish movement.

Nordic American Tankers Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.5 Buy
20-day SMA: 2.62 Sell
50-day SMA: 2.97 Sell
200-day SMA: 3.63 Sell
8-day EMA: 2.52 Sell
20-day EMA: 2.64 Sell
50-day EMA: 2.92 Sell
200-day EMA: 3.48 Sell

Nordic American Tankers Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.14 Sell
Relative Strength Index (14 RSI): 31.33 Sell
Chaikin Money Flow: 1405766 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.52 - 2.86) Sell
Bollinger Bands (100): (2.89 - 3.71) Sell

Nordic American Tankers 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 Nordic American Tankers Stock

Is Nordic American Tankers Stock a Buy?

NAT Technical Analysis vs Fundamental Analysis

Sell
47
Nordic American Tankers (NAT) is a Sell

Is Nordic American Tankers a Buy or a Sell?

Nordic American Tankers Stock Info

Market Cap:
524.1M
Price in USD:
2.51
Share Volume:
2.3M

Nordic American Tankers 52-Week Range

52-Week High:
4.65
52-Week Low:
2.41
Sell
47
Nordic American Tankers (NAT) is a Sell

Nordic American Tankers Share Price Forecast

Is Nordic American Tankers Stock a Buy?

Fundamental Analysis of Nordic American Tankers

Is Nordic American Tankers a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.02 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.26 per share, and an increase next year of $0.32 per share.

Technical Analysis of Nordic American Tankers

Should I short Nordic American Tankers stock?

* Nordic American Tankers stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.