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Dimensional California Municipal Bd 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 DFCA is experiencing slight buying pressure.

Dimensional California Municipal Bd ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.39 Sell
20-day SMA: 50.31 Buy
50-day SMA: 50.49 Sell
200-day SMA: 50.38 Sell
8-day EMA: 50.38 Sell
20-day EMA: 50.37 Sell
50-day EMA: 50.42 Sell
200-day EMA: 50.31 Buy

Dimensional California Municipal Bd ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.01 Sell
Relative Strength Index (14 RSI): 48.28 Sell
Chaikin Money Flow: -1885 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (50.19 - 50.47) Buy
Bollinger Bands (100): (50.3 - 50.64) Sell

Dimensional California Municipal Bd 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 Dimensional California Municipal Bd ETF Stock

Is Dimensional California Municipal Bd ETF Stock a Buy?

DFCA Technical Analysis vs Fundamental Analysis

Sell
31
Dimensional California Municipal Bd ETF (DFCA) is a Sell

Is Dimensional California Municipal Bd ETF a Buy or a Sell?

Dimensional California Municipal Bd ETF Stock Info

Market Cap:
0
Price in USD:
50.35
Share Volume:
11.31K

Dimensional California Municipal Bd ETF 52-Week Range

52-Week High:
51.02
52-Week Low:
49.61
Sell
31
Dimensional California Municipal Bd ETF (DFCA) is a Sell

Dimensional California Municipal Bd ETF Share Price Forecast

Is Dimensional California Municipal Bd ETF Stock a Buy?

Technical Analysis of Dimensional California Municipal Bd ETF

Should I short Dimensional California Municipal Bd ETF stock?

* Dimensional California Municipal Bd 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.