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ProShares S&P Kensho Cleantech 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 CTEX is experiencing buying pressure, which is a positive indicator for future bullish movement.

ProShares S&P Kensho Cleantech ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 21.37 Buy
20-day SMA: 21.56 Buy
50-day SMA: 21.79 Buy
200-day SMA: 22.32 Buy
8-day EMA: 21.59 Buy
20-day EMA: 21.5 Buy
50-day EMA: 21.63 Buy
200-day EMA: 22.68 Sell

ProShares S&P Kensho Cleantech ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0 Buy
Relative Strength Index (14 RSI): 58.52 Buy
Chaikin Money Flow: 2144 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (20.79 - 22.01) Buy
Bollinger Bands (100): (20.89 - 22.85) Buy

ProShares S&P Kensho Cleantech 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 ProShares S&P Kensho Cleantech ETF Stock

Is ProShares S&P Kensho Cleantech ETF Stock a Buy?

CTEX Technical Analysis vs Fundamental Analysis

Sell
45
ProShares S&P Kensho Cleantech ETF (CTEX) is a Sell

Is ProShares S&P Kensho Cleantech ETF a Buy or a Sell?

ProShares S&P Kensho Cleantech ETF Stock Info

Market Cap:
0
Price in USD:
22.34
Share Volume:
2.14K

ProShares S&P Kensho Cleantech ETF 52-Week Range

52-Week High:
27.98
52-Week Low:
19.80
Sell
45
ProShares S&P Kensho Cleantech ETF (CTEX) is a Sell

ProShares S&P Kensho Cleantech ETF Share Price Forecast

Is ProShares S&P Kensho Cleantech ETF Stock a Buy?

Technical Analysis of ProShares S&P Kensho Cleantech ETF

Should I short ProShares S&P Kensho Cleantech ETF stock?

* ProShares S&P Kensho Cleantech 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.