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KraneShares CSI China Internet 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 KWEB is experiencing buying pressure, which is a positive indicator for future bullish movement.

KraneShares CSI China Internet ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 34.79 Sell
20-day SMA: 35.59 Sell
50-day SMA: 36.08 Sell
200-day SMA: 36.59 Sell
8-day EMA: 28.36 Buy
20-day EMA: 17.35 Buy
50-day EMA: 8.44 Buy
200-day EMA: 2.34 Buy

KraneShares CSI China Internet ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 9.32 Buy
Relative Strength Index (14 RSI): 41.21 Sell
Chaikin Money Flow: 19397947 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (34.57 - 36.63) Sell
Bollinger Bands (100): (35.68 - 40.74) Sell

KraneShares CSI China Internet 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 CSI China Internet ETF Stock

Is KraneShares CSI China Internet ETF Stock a Buy?

KWEB Technical Analysis vs Fundamental Analysis

Buy
62
KraneShares CSI China Internet ETF (KWEB) is a Buy

Is KraneShares CSI China Internet ETF a Buy or a Sell?

KraneShares CSI China Internet ETF Stock Info

Market Cap:
0
Price in USD:
34.31
Share Volume:
20.7M

KraneShares CSI China Internet ETF 52-Week Range

52-Week High:
43.37
52-Week Low:
27.83
Buy
62
KraneShares CSI China Internet ETF (KWEB) is a Buy

KraneShares CSI China Internet ETF Share Price Forecast

Is KraneShares CSI China Internet ETF Stock a Buy?

Technical Analysis of KraneShares CSI China Internet ETF

Should I short KraneShares CSI China Internet ETF stock?

* KraneShares CSI China Internet 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.