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Invesco WilderHill Clean Energy 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 PBW is experiencing selling pressure, which indicates risk of future bearish movement.

Invesco WilderHill Clean Energy ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 20.13 Sell
20-day SMA: 20.29 Sell
50-day SMA: 19.85 Sell
200-day SMA: 21.16 Sell
8-day EMA: 19.99 Sell
20-day EMA: 20.16 Sell
50-day EMA: 20.07 Sell
200-day EMA: 22.18 Sell

Invesco WilderHill Clean Energy ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.05 Sell
Relative Strength Index (14 RSI): 42.6 Sell
Chaikin Money Flow: -581863 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (19.93 - 20.73) Sell
Bollinger Bands (100): (18.82 - 21.28) Sell

Invesco WilderHill Clean Energy 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 WilderHill Clean Energy ETF Stock

Is Invesco WilderHill Clean Energy ETF Stock a Buy?

PBW Technical Analysis vs Fundamental Analysis

Sell
41
Invesco WilderHill Clean Energy ETF (PBW) is a Sell

Is Invesco WilderHill Clean Energy ETF a Buy or a Sell?

Invesco WilderHill Clean Energy ETF Stock Info

Market Cap:
0
Price in USD:
19.40
Share Volume:
759.91K

Invesco WilderHill Clean Energy ETF 52-Week Range

52-Week High:
30.94
52-Week Low:
17.52
Sell
41
Invesco WilderHill Clean Energy ETF (PBW) is a Sell

Invesco WilderHill Clean Energy ETF Share Price Forecast

Is Invesco WilderHill Clean Energy ETF Stock a Buy?

Technical Analysis of Invesco WilderHill Clean Energy ETF

Should I short Invesco WilderHill Clean Energy ETF stock?

* Invesco WilderHill Clean Energy 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.