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Global X MSCI China Consumer Disc 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 CHIQ is experiencing slight buying pressure.

Global X MSCI China Consumer Disc ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 17.45 Buy
20-day SMA: 17.4 Buy
50-day SMA: 17.15 Buy
200-day SMA: 17.79 Buy
8-day EMA: 17.66 Buy
20-day EMA: 17.42 Buy
50-day EMA: 17.16 Buy
200-day EMA: 17.63 Buy

Global X MSCI China Consumer Disc ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.19 Buy
Relative Strength Index (14 RSI): 67.34 Buy
Chaikin Money Flow: 13733 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (16.94 - 17.7) Buy
Bollinger Bands (100): (16.05 - 17.59) Buy

Global X MSCI China Consumer Disc 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 Global X MSCI China Consumer Disc ETF Stock

Is Global X MSCI China Consumer Disc ETF Stock a Buy?

CHIQ Technical Analysis vs Fundamental Analysis

Sell
48
Global X MSCI China Consumer Disc ETF (CHIQ) is a Sell

Is Global X MSCI China Consumer Disc ETF a Buy or a Sell?

Global X MSCI China Consumer Disc ETF Stock Info

Market Cap:
0
Price in USD:
18.37
Share Volume:
50.89K

Global X MSCI China Consumer Disc ETF 52-Week Range

52-Week High:
21.67
52-Week Low:
14.77
Sell
48
Global X MSCI China Consumer Disc ETF (CHIQ) is a Sell

Global X MSCI China Consumer Disc ETF Share Price Forecast

Is Global X MSCI China Consumer Disc ETF Stock a Buy?

Technical Analysis of Global X MSCI China Consumer Disc ETF

Should I short Global X MSCI China Consumer Disc ETF stock?

* Global X MSCI China Consumer Disc 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.