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ProShares S&P Kensho Smart Factories 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 MAKX is experiencing slight buying pressure.

ProShares S&P Kensho Smart Factories ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 41.12 Sell
20-day SMA: 39.21 Buy
50-day SMA: 37.91 Buy
200-day SMA: 37.38 Buy
8-day EMA: 40.79 Buy
20-day EMA: 39.69 Buy
50-day EMA: 38.47 Buy
200-day EMA: 37.19 Buy

ProShares S&P Kensho Smart Factories ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.04 Buy
Relative Strength Index (14 RSI): 65.88 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (37.46 - 40.5) Buy
Bollinger Bands (100): (35.82 - 39.44) Buy

ProShares S&P Kensho Smart Factories 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 Smart Factories ETF Stock

Is ProShares S&P Kensho Smart Factories ETF Stock a Buy?

MAKX Technical Analysis vs Fundamental Analysis

Buy
76
ProShares S&P Kensho Smart Factories ETF (MAKX) is a Buy

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

ProShares S&P Kensho Smart Factories ETF Stock Info

Market Cap:
0
Price in USD:
41.00
Share Volume:
0

ProShares S&P Kensho Smart Factories ETF 52-Week Range

52-Week High:
42.20
52-Week Low:
33.06
Buy
76
ProShares S&P Kensho Smart Factories ETF (MAKX) is a Buy

ProShares S&P Kensho Smart Factories ETF Share Price Forecast

Is ProShares S&P Kensho Smart Factories ETF Stock a Buy?

Technical Analysis of ProShares S&P Kensho Smart Factories ETF

Should I short ProShares S&P Kensho Smart Factories ETF stock?

* ProShares S&P Kensho Smart Factories 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.