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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: 33.54 Buy
20-day SMA: 33.91 Buy
50-day SMA: 32.89 Buy
200-day SMA: 31.74 Buy
8-day EMA: 33.78 Buy
20-day EMA: 33.63 Buy
50-day EMA: 33.38 Buy
200-day EMA: 31.87 Buy

KraneShares CSI China Internet ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.17 Buy
Relative Strength Index (14 RSI): 56.39 Buy
Chaikin Money Flow: 17453947 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (33.22 - 34.44) Buy
Bollinger Bands (100): (30.81 - 35.61) Buy

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
74
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:
34.24
Share Volume:
22.9M

KraneShares CSI China Internet ETF 52-Week Range

52-Week High:
39.17
52-Week Low:
24.68
Buy
74
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.