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Columbia EM Core ex-China ETF Stock Price Chart

Buy
67

XCEM
Columbia EM Core ex-China ETF

Last Price:
30.43
Seasonality Move:
2.86%

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ALL ACCESS PASS

$ 7
  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and XCEM is experiencing buying pressure, which is a positive indicator for future bullish movement.

Columbia EM Core ex-China ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.11 Sell
20-day SMA: 31.21 Sell
50-day SMA: 30.91 Sell
200-day SMA: 29.34 Buy
8-day EMA: 30.99 Sell
20-day EMA: 31.06 Sell
50-day EMA: 30.87 Sell
200-day EMA: 29.71 Buy

Columbia EM Core ex-China ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.03 Buy
Relative Strength Index (14 RSI): 38.79 Sell
Chaikin Money Flow: 53306 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (30.71 - 31.47) Sell
Bollinger Bands (100): (29.77 - 31.19) Buy

Columbia EM Core ex-China 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 Columbia EM Core ex-China ETF Stock

Is Columbia EM Core ex-China ETF Stock a Buy?

XCEM Technical Analysis vs Fundamental Analysis

Buy
67
Columbia EM Core ex-China ETF (XCEM) is a Buy

Is Columbia EM Core ex-China ETF a Buy or a Sell?

Columbia EM Core ex-China ETF Stock Info

Market Cap:
0
Price in USD:
30.51
Share Volume:
88.84K

Columbia EM Core ex-China ETF 52-Week Range

52-Week High:
31.74
52-Week Low:
26.12
Buy
67
Columbia EM Core ex-China ETF (XCEM) is a Buy

Columbia EM Core ex-China ETF Share Price Forecast

Is Columbia EM Core ex-China ETF Stock a Buy?

Technical Analysis of Columbia EM Core ex-China ETF

Should I short Columbia EM Core ex-China ETF stock?

* Columbia EM Core ex-China 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.