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KraneShares Global Luxury Index ETF Stock Price Chart

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

KraneShares Global Luxury Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 22.72 Sell
20-day SMA: 23.07 Sell
50-day SMA: 23.55 Sell
200-day SMA: 24.8 Sell
8-day EMA: 22.66 Sell
20-day EMA: 23.03 Sell
50-day EMA: 23.44 Sell
200-day EMA: 24.14 Sell

KraneShares Global Luxury Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.35 Sell
Relative Strength Index (14 RSI): 35.42 Sell
Chaikin Money Flow: 203 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (22.71 - 23.73) Sell
Bollinger Bands (100): (23.03 - 24.35) Sell

KraneShares Global Luxury Index 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 KraneShares Global Luxury Index ETF Stock

Is KraneShares Global Luxury Index ETF Stock a Buy?

KLXY Technical Analysis vs Fundamental Analysis

Sell
29
KraneShares Global Luxury Index ETF (KLXY) is a Sell

Is KraneShares Global Luxury Index ETF a Buy or a Sell?

KraneShares Global Luxury Index ETF Stock Info

Market Cap:
0
Price in USD:
22.30
Share Volume:
203

KraneShares Global Luxury Index ETF 52-Week Range

52-Week High:
27.68
52-Week Low:
22.27
Sell
29
KraneShares Global Luxury Index ETF (KLXY) is a Sell

KraneShares Global Luxury Index ETF Share Price Forecast

Is KraneShares Global Luxury Index ETF Stock a Buy?

Technical Analysis of KraneShares Global Luxury Index ETF

Should I short KraneShares Global Luxury Index ETF stock?

* KraneShares Global Luxury Index 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.