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Cambria Foreign Shareholder Yield 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 FYLD is experiencing buying pressure, which is a positive indicator for future bullish movement.

Cambria Foreign Shareholder Yield ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 26.22 Sell
20-day SMA: 26.46 Sell
50-day SMA: 27 Sell
200-day SMA: 26.87 Sell
8-day EMA: 26.13 Sell
20-day EMA: 26.46 Sell
50-day EMA: 26.77 Sell
200-day EMA: 26.6 Sell

Cambria Foreign Shareholder Yield ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.31 Sell
Relative Strength Index (14 RSI): 38.15 Sell
Chaikin Money Flow: 158178 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (26.17 - 27.09) Sell
Bollinger Bands (100): (26.17 - 27.47) Sell

Cambria Foreign Shareholder Yield 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 Cambria Foreign Shareholder Yield ETF Stock

Is Cambria Foreign Shareholder Yield ETF Stock a Buy?

FYLD Technical Analysis vs Fundamental Analysis

Buy
56
Cambria Foreign Shareholder Yield ETF (FYLD) is a Buy

Is Cambria Foreign Shareholder Yield ETF a Buy or a Sell?

Cambria Foreign Shareholder Yield ETF Stock Info

Market Cap:
0
Price in USD:
25.95
Share Volume:
158.18K

Cambria Foreign Shareholder Yield ETF 52-Week Range

52-Week High:
28.30
52-Week Low:
24.00
Buy
56
Cambria Foreign Shareholder Yield ETF (FYLD) is a Buy

Cambria Foreign Shareholder Yield ETF Share Price Forecast

Is Cambria Foreign Shareholder Yield ETF Stock a Buy?

Technical Analysis of Cambria Foreign Shareholder Yield ETF

Should I short Cambria Foreign Shareholder Yield ETF stock?

* Cambria Foreign Shareholder Yield 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.