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Dimensional US Small Cap Value 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 DFSV is experiencing buying pressure, which is a positive indicator for future bullish movement.

Dimensional US Small Cap Value ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.27 Buy
20-day SMA: 28.95 Sell
50-day SMA: 28.79 Buy
200-day SMA: 27.14 Buy
8-day EMA: 28.54 Buy
20-day EMA: 28.7 Buy
50-day EMA: 28.68 Buy
200-day EMA: 27.39 Buy

Dimensional US Small Cap Value ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.15 Sell
Relative Strength Index (14 RSI): 51 Buy
Chaikin Money Flow: 349713 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (28.38 - 29.66) Sell
Bollinger Bands (100): (27.73 - 29.23) Buy

Dimensional US Small Cap Value 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 US Small Cap Value ETF Stock

Is Dimensional US Small Cap Value ETF Stock a Buy?

DFSV Technical Analysis vs Fundamental Analysis

Buy
60
Dimensional US Small Cap Value ETF (DFSV) is a Buy

Is Dimensional US Small Cap Value ETF a Buy or a Sell?

Dimensional US Small Cap Value ETF Stock Info

Market Cap:
0
Price in USD:
28.81
Share Volume:
516.24K

Dimensional US Small Cap Value ETF 52-Week Range

52-Week High:
30.22
52-Week Low:
23.01
Buy
60
Dimensional US Small Cap Value ETF (DFSV) is a Buy

Dimensional US Small Cap Value ETF Share Price Forecast

Is Dimensional US Small Cap Value ETF Stock a Buy?

Technical Analysis of Dimensional US Small Cap Value ETF

Should I short Dimensional US Small Cap Value ETF stock?

* Dimensional US Small Cap Value 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.