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DFA Dimensional Global Real Estate ETF Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and DFGR is experiencing selling pressure, which indicates risk of future bearish movement.

DFA Dimensional Global Real Estate ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 27.13 Sell
20-day SMA: 27.05 Sell
50-day SMA: 27.14 Sell
200-day SMA: 26.73 Buy
8-day EMA: 27.05 Sell
20-day EMA: 27.06 Sell
50-day EMA: 27.1 Sell
200-day EMA: 26.87 Buy

DFA Dimensional Global Real Estate ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.02 Sell
Relative Strength Index (14 RSI): 47.09 Sell
Chaikin Money Flow: -300076 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.82 - 27.22) Sell
Bollinger Bands (100): (26.83 - 27.43) Sell

DFA Dimensional Global Real Estate ETF 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 DFA Dimensional Global Real Estate ETF Stock

Is DFA Dimensional Global Real Estate ETF Stock a Buy?

DFGR Technical Analysis vs Fundamental Analysis

Buy
59
DFA Dimensional Global Real Estate ETF (DFGR) is a Buy

Is DFA Dimensional Global Real Estate ETF a Buy or a Sell?

DFA Dimensional Global Real Estate ETF Stock Info

Market Cap:
0
Price in USD:
26.98
Share Volume:
450.1K

DFA Dimensional Global Real Estate ETF 52-Week Range

52-Week High:
27.85
52-Week Low:
22.90
Buy
59
DFA Dimensional Global Real Estate ETF (DFGR) is a Buy

DFA Dimensional Global Real Estate ETF Share Price Forecast

Is DFA Dimensional Global Real Estate ETF Stock a Buy?

Technical Analysis of DFA Dimensional Global Real Estate ETF

Should I short DFA Dimensional Global Real Estate ETF stock?

* DFA Dimensional Global Real Estate ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.