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Seanergy Maritime Holdings Stock Price Chart

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

Seanergy Maritime Holdings Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.47 Buy
20-day SMA: 5.63 Buy
50-day SMA: 6.5 Sell
200-day SMA: 8.53 Sell
8-day EMA: 5.55 Buy
20-day EMA: 5.74 Sell
50-day EMA: 6.29 Sell
200-day EMA: 7.75 Sell

Seanergy Maritime Holdings Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.3 Sell
Relative Strength Index (14 RSI): 46 Sell
Chaikin Money Flow: 4863 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.22 - 6.58) Sell
Bollinger Bands (100): (6.13 - 7.51) Sell

Seanergy Maritime Holdings 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 Seanergy Maritime Holdings Stock

Is Seanergy Maritime Holdings Stock a Buy?

SHIP Technical Analysis vs Fundamental Analysis

Sell
25
Seanergy Maritime Holdings (SHIP) is a Sell

Is Seanergy Maritime Holdings a Buy or a Sell?

Seanergy Maritime Holdings Stock Info

Market Cap:
119.8M
Price in USD:
5.73
Share Volume:
92.4K

Seanergy Maritime Holdings 52-Week Range

52-Week High:
13.19
52-Week Low:
4.78
Sell
25
Seanergy Maritime Holdings (SHIP) is a Sell

Seanergy Maritime Holdings Share Price Forecast

Is Seanergy Maritime Holdings Stock a Buy?

Fundamental Analysis of Seanergy Maritime Holdings

Is Seanergy Maritime Holdings a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.12 per share, a decrease next quarter of $0.00 per share, a decrease this year of $1.19 per share, and an increase next year of $0.20 per share.

Technical Analysis of Seanergy Maritime Holdings

Should I short Seanergy Maritime Holdings stock?

* Seanergy Maritime Holdings stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.