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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: 121.25 Buy
20-day SMA: 119.37 Buy
50-day SMA: 121.05 Buy
200-day SMA: 110.01 Buy
8-day EMA: 121.26 Buy
20-day EMA: 120.39 Buy
50-day EMA: 120.03 Buy
200-day EMA: 113.14 Buy

Camden Property Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.53 Buy
Relative Strength Index (14 RSI): 58.12 Buy
Chaikin Money Flow: 90546 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (117.06 - 121.66) Buy
Bollinger Bands (100): (114.05 - 123.97) 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
39
Camden Property Trust (CPT) is a Sell

Is Camden Property Trust a Buy or a Sell?

Camden Property Trust Stock Info

Market Cap:
13.11B
Price in USD:
122.90
Share Volume:
452.73K

Camden Property Trust 52-Week Range

52-Week High:
127.69
52-Week Low:
87.61
Sell
39
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 increase this quarter of $0.24 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.10 per share, and a decrease next year of $0.17 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.