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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 selling pressure, which indicates risk of future bearish movement.

KraneShares Global Luxury Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 23.22 Sell
20-day SMA: 23.61 Sell
50-day SMA: 23.61 Sell
200-day SMA: 25.02 Sell
8-day EMA: 23.28 Sell
20-day EMA: 23.43 Sell
50-day EMA: 23.73 Sell
200-day EMA: 24.4 Sell

KraneShares Global Luxury Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.16 Sell
Relative Strength Index (14 RSI): 43.44 Sell
Chaikin Money Flow: -407 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.13 - 24.25) Sell
Bollinger Bands (100): (23.41 - 25.33) 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
7
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:
23.14
Share Volume:
407

KraneShares Global Luxury Index ETF 52-Week Range

52-Week High:
27.68
52-Week Low:
22.45
Sell
7
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.