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JPMorgan Carbon Transition US Eq 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 JCTR is experiencing selling pressure, which indicates risk of future bearish movement.

JPMorgan Carbon Transition US Eq ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 82.26 Sell
20-day SMA: 81.35 Buy
50-day SMA: 79.53 Buy
200-day SMA: 74.03 Buy
8-day EMA: 82.17 Sell
20-day EMA: 81.36 Buy
50-day EMA: 79.7 Buy
200-day EMA: 74.18 Buy

JPMorgan Carbon Transition US Eq ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.91 Buy
Relative Strength Index (14 RSI): 63.29 Buy
Chaikin Money Flow: -240 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (80.01 - 82.21) Buy
Bollinger Bands (100): (73.82 - 80.18) Buy

JPMorgan Carbon Transition US Eq 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 JPMorgan Carbon Transition US Eq ETF Stock

Is JPMorgan Carbon Transition US Eq ETF Stock a Buy?

JCTR Technical Analysis vs Fundamental Analysis

Buy
74
JPMorgan Carbon Transition US Eq ETF (JCTR) is a Buy

Is JPMorgan Carbon Transition US Eq ETF a Buy or a Sell?

JPMorgan Carbon Transition US Eq ETF Stock Info

Market Cap:
0
Price in USD:
82.12
Share Volume:
240

JPMorgan Carbon Transition US Eq ETF 52-Week Range

52-Week High:
83.14
52-Week Low:
63.31
Buy
74
JPMorgan Carbon Transition US Eq ETF (JCTR) is a Buy

JPMorgan Carbon Transition US Eq ETF Share Price Forecast

Is JPMorgan Carbon Transition US Eq ETF Stock a Buy?

Technical Analysis of JPMorgan Carbon Transition US Eq ETF

Should I short JPMorgan Carbon Transition US Eq ETF stock?

* JPMorgan Carbon Transition US Eq 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.