Financhill
Back

Invesco RAFI Developed Mkts ex-US ETF 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 PXF is experiencing buying pressure, which is a positive indicator for future bullish movement.

Invesco RAFI Developed Mkts ex-US ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 66.63 Buy
20-day SMA: 65.84 Buy
50-day SMA: 64.2 Buy
200-day SMA: 59.13 Buy
8-day EMA: 66.68 Buy
20-day EMA: 65.88 Buy
50-day EMA: 64.49 Buy
200-day EMA: 59.84 Buy

Invesco RAFI Developed Mkts ex-US ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.83 Buy
Relative Strength Index (14 RSI): 70.6 Buy
Chaikin Money Flow: 29842 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (64.72 - 66.46) Buy
Bollinger Bands (100): (60.72 - 64.68) Buy

Invesco RAFI Developed Mkts ex-US 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 Invesco RAFI Developed Mkts ex-US ETF Stock

Is Invesco RAFI Developed Mkts ex-US ETF Stock a Buy?

PXF Technical Analysis vs Fundamental Analysis

Buy
82
Invesco RAFI Developed Mkts ex-US ETF (PXF) is a Buy

Is Invesco RAFI Developed Mkts ex-US ETF a Buy or a Sell?

Invesco RAFI Developed Mkts ex-US ETF Stock Info

Market Cap:
0
Price in USD:
67.37
Share Volume:
55.9K

Invesco RAFI Developed Mkts ex-US ETF 52-Week Range

52-Week High:
67.44
52-Week Low:
45.78
Buy
82
Invesco RAFI Developed Mkts ex-US ETF (PXF) is a Buy

Invesco RAFI Developed Mkts ex-US ETF Share Price Forecast

Is Invesco RAFI Developed Mkts ex-US ETF Stock a Buy?

Technical Analysis of Invesco RAFI Developed Mkts ex-US ETF

Should I short Invesco RAFI Developed Mkts ex-US ETF stock?

* Invesco RAFI Developed Mkts ex-US 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.