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Camden Property Trust 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 CPT is experiencing slight buying pressure.

Camden Property Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 107.27 Buy
20-day SMA: 105.62 Buy
50-day SMA: 103.7 Buy
200-day SMA: 110.43 Sell
8-day EMA: 107.27 Buy
20-day EMA: 105.87 Buy
50-day EMA: 105.03 Buy
200-day EMA: 108.81 Sell

Camden Property Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.2 Buy
Relative Strength Index (14 RSI): 63.86 Buy
Chaikin Money Flow: 54668 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (103.47 - 107.29) Buy
Bollinger Bands (100): (102.3 - 108.52) Buy

Camden Property 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 Camden Property Trust Stock

Is Camden Property Trust Stock a Buy?

CPT Technical Analysis vs Fundamental Analysis

Sell
50
Camden Property Trust (CPT) is a Sell

Is Camden Property Trust a Buy or a Sell?

Camden Property Trust Stock Info

Market Cap:
11.6B
Price in USD:
108.57
Share Volume:
405.7K

Camden Property Trust 52-Week Range

52-Week High:
126.55
52-Week Low:
97.17
Sell
50
Camden Property Trust (CPT) is a Sell

Camden Property Trust Share Price Forecast

Is Camden Property Trust Stock a Buy?

Fundamental Analysis of Camden Property Trust

Is Camden Property Trust a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.01 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.66 per share, and an increase next year of $0.20 per share.

Technical Analysis of Camden Property Trust

Should I short Camden Property Trust stock?

* Camden Property 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.