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Invesco Bloomberg Pricing Power 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 POWA is experiencing buying pressure, which is a positive indicator for future bullish movement.

Invesco Bloomberg Pricing Power ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 90.97 Buy
20-day SMA: 90.07 Buy
50-day SMA: 90.3 Buy
200-day SMA: 86.41 Buy
8-day EMA: 90.78 Buy
20-day EMA: 90.39 Buy
50-day EMA: 87.76 Buy
200-day EMA: 53.4 Buy

Invesco Bloomberg Pricing Power ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.32 Buy
Relative Strength Index (14 RSI): 55.74 Buy
Chaikin Money Flow: 3263 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (89.07 - 91.17) Buy
Bollinger Bands (100): (88.55 - 90.83) Buy

Invesco Bloomberg Pricing Power 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 Bloomberg Pricing Power ETF Stock

Is Invesco Bloomberg Pricing Power ETF Stock a Buy?

POWA Technical Analysis vs Fundamental Analysis

Buy
64
Invesco Bloomberg Pricing Power ETF (POWA) is a Buy

Is Invesco Bloomberg Pricing Power ETF a Buy or a Sell?

Invesco Bloomberg Pricing Power ETF Stock Info

Market Cap:
0
Price in USD:
91.12
Share Volume:
5.4K

Invesco Bloomberg Pricing Power ETF 52-Week Range

52-Week High:
92.60
52-Week Low:
73.16
Buy
64
Invesco Bloomberg Pricing Power ETF (POWA) is a Buy

Invesco Bloomberg Pricing Power ETF Share Price Forecast

Is Invesco Bloomberg Pricing Power ETF Stock a Buy?

Technical Analysis of Invesco Bloomberg Pricing Power ETF

Should I short Invesco Bloomberg Pricing Power ETF stock?

* Invesco Bloomberg Pricing Power 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.