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Pebblebrook Hotel Trust Stock Price Chart

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

Pebblebrook Hotel Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 9.19 Buy
20-day SMA: 9.54 Sell
50-day SMA: 9.27 Sell
200-day SMA: 11.99 Sell
8-day EMA: 9.2 Buy
20-day EMA: 9.31 Sell
50-day EMA: 9.66 Sell
200-day EMA: 11.58 Sell

Pebblebrook Hotel Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.1 Sell
Relative Strength Index (14 RSI): 48.19 Sell
Chaikin Money Flow: 2491355 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (8.94 - 9.94) Sell
Bollinger Bands (100): (9.01 - 12.59) Sell

Pebblebrook Hotel 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 Pebblebrook Hotel Trust Stock

Is Pebblebrook Hotel Trust Stock a Buy?

PEB Technical Analysis vs Fundamental Analysis

Sell
19
Pebblebrook Hotel Trust (PEB) is a Sell

Is Pebblebrook Hotel Trust a Buy or a Sell?

Pebblebrook Hotel Trust Stock Info

Market Cap:
1.1B
Price in USD:
9.26
Share Volume:
3.1M

Pebblebrook Hotel Trust 52-Week Range

52-Week High:
15.12
52-Week Low:
7.41
Sell
19
Pebblebrook Hotel Trust (PEB) is a Sell

Pebblebrook Hotel Trust Share Price Forecast

Is Pebblebrook Hotel Trust Stock a Buy?

Fundamental Analysis of Pebblebrook Hotel Trust

Is Pebblebrook Hotel Trust a good investment?

  • Analysts estimate an earnings increase this quarter of $0.04 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.08 per share, and an increase next year of $0.24 per share.

Technical Analysis of Pebblebrook Hotel Trust

Should I short Pebblebrook Hotel Trust stock?

* Pebblebrook Hotel 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.