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New York Mortgage Trust Stock Price Chart

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

New York Mortgage Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.88 Buy
20-day SMA: 5.76 Buy
50-day SMA: 5.92 Sell
200-day SMA: 6.42 Sell
8-day EMA: 5.88 Buy
20-day EMA: 5.82 Buy
50-day EMA: 5.9 Sell
200-day EMA: 6.59 Sell

New York Mortgage Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 53.33 Buy
Chaikin Money Flow: 317099 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.42 - 5.94) Buy
Bollinger Bands (100): (5.73 - 6.61) Sell

New York Mortgage Trust 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 New York Mortgage Trust Stock

Is New York Mortgage Trust Stock a Buy?

NYMT Technical Analysis vs Fundamental Analysis

Sell
47
New York Mortgage Trust (NYMT) is a Sell

Is New York Mortgage Trust a Buy or a Sell?

New York Mortgage Trust Stock Info

Market Cap:
533.51M
Price in USD:
5.89
Share Volume:
588.9K

New York Mortgage Trust 52-Week Range

52-Week High:
9.67
52-Week Low:
5.14
Sell
47
New York Mortgage Trust (NYMT) is a Sell

New York Mortgage Trust Share Price Forecast

Is New York Mortgage Trust Stock a Buy?

Fundamental Analysis of New York Mortgage Trust

Is New York Mortgage Trust a good investment?

  • Analysts estimate an earnings increase this quarter of $0.07 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.62 per share, and an increase next year of $1.23 per share.

Technical Analysis of New York Mortgage Trust

Should I short New York Mortgage Trust stock?

* New York Mortgage Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.