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Invesco Bloomberg Pricing Power ETF Stock Price Chart

Buy
64

POWA
Invesco Bloomberg Pricing Power ETF

Last Price:
77.73
Seasonality Move:
2.88%

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  • 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 slight selling pressure.

Invesco Bloomberg Pricing Power ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 77.38 Buy
20-day SMA: 76.16 Buy
50-day SMA: 76.71 Buy
200-day SMA: 71.42 Buy
8-day EMA: 77.34 Buy
20-day EMA: 76.66 Buy
50-day EMA: 76.17 Buy
200-day EMA: 72.71 Buy

Invesco Bloomberg Pricing Power ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.47 Buy
Relative Strength Index (14 RSI): 63.25 Buy
Chaikin Money Flow: -782 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (74.65 - 77.05) Buy
Bollinger Bands (100): (73.02 - 77.4) 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:
77.82
Share Volume:
6.9K

Invesco Bloomberg Pricing Power ETF 52-Week Range

52-Week High:
78.93
52-Week Low:
63.20
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.