KMI
71
2
LNC
60
7
NWS
96
-2
F
56
2
SLG
56
4
CNP
46
-14
DNB
50
-2
FSLR
44
4
ZTS
33
-3
KO
59
4
BDX
25
2
CCL
68
-2
RIG
32
3
KSS
28
-5
GT
45
-2
AVB
54
2
PNC
65
-2
EBAY
53
-5
WBA
50
2
APD
42
2
KMI
71
2
LNC
60
7
NWS
96
-2
F
56
2
SLG
56
4
CNP
46
-14
DNB
50
-2
FSLR
44
4
ZTS
33
-3
KO
59
4
BDX
25
2
CCL
68
-2
RIG
32
3
KSS
28
-5
GT
45
-2
AVB
54
2
PNC
65
-2
EBAY
53
-5
WBA
50
2
APD
42
2
Financhill
Back

KraneShares CSI China Internet ETF Stock Predictions

Spencer Rascoff co-founded Zillow, scaling it to a $16B valuation. But everyday investors couldn't invest until the IPO, missing early gains.

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com.
Buy
62

KWEB
KraneShares CSI China Internet ETF

Last Price:
$32.92
Seasonality Move:
2.81%

7 Day Trial

ALL ACCESS PASS

$ 7

Former Zillow execs target $1.3T market

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com.

KraneShares CSI China Internet ETF Stock Forecast

  • Over the next 52 weeks, KraneShares CSI China Internet ETF has on average historically risen by 6.3% based on the past 11 years of stock performance.
  • KraneShares CSI China Internet ETF has risen higher in 8 of those 11 years over the subsequent 52-week period, corresponding to a historical accuracy of 72.73%
  • Is KraneShares CSI China Internet ETF Stock Undervalued?
    The current KraneShares CSI China Internet ETF [KWEB] share price is $32.93. The Score for KWEB is 62, which is 24% above its historic median score of 50, and infers lower risk than normal.
  • KWEB is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will KraneShares CSI China Internet ETF Stock Go Up Next Year?

  • Over the next 52 weeks, KraneShares CSI China Internet ETF has on average historically risen by 6.3% based on the past 11 years of stock performance.

KraneShares CSI China Internet ETF Stock Rating

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

Is KraneShares CSI China Internet ETF overpriced?

  • KraneShares CSI China Internet ETF has risen higher in 8 of those 11 years over the subsequent 52-week period, corresponding to a historical accuracy of 72.73%

KraneShares CSI China Internet ETF Stock Price History

Is KWEB stock going to rise?

  • The current trend is moderately bullish and KWEB is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NYSEARCA
Country:
United States
Industry:
Sector:
Type:
etf
Website:

52-Week Data

52-Week High:
39.17
52-Week Low:
24.68

Prediction Charts

Market Cap:
0
Price in USD:
32.93
Volume:
14.4M
Beta:
0.84

Technical Analysis

SMA50:
33.65
SMA100:
32.41
SMA200:
31.02
52-Wk Change:
9.18%

Stock Predictions

  • Is KraneShares CSI China Internet ETF stock public?
    Yes, KraneShares CSI China Internet ETF is a publicly traded company.
  • What is the KraneShares CSI China Internet ETF stock quote today?
    The KraneShares CSI China Internet ETF stock price is 32.93 USD today.
  • How to buy KraneShares CSI China Internet ETF stock online?
    You can buy KraneShares CSI China Internet ETF shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Apr-22 30.94 31.27 31.72 30.86
Apr-23 32.15 32.01 32.84 31.96
Apr-24 31.72 32.07 32.22 31.44
Apr-25 31.73 32.01 32.04 31.65
Apr-28 31.96 32.02 32.25 31.80
Apr-29 32.03 32.18 32.27 32.02
Apr-30 32.16 32.10 32.19 31.83
May-1 32.43 32.14 32.43 32.05
May-2 33.42 33.60 33.68 33.18
May-5 33.26 33.64 33.81 33.19
May-6 33.76 33.98 34.22 33.71
May-7 33.53 33.02 33.53 32.96
May-8 33.48 33.38 33.59 33.00
May-9 33.29 32.93 33.53 32.87

KraneShares CSI China Internet ETF Earnings

Data Unavailable

KraneShares CSI China Internet ETF Forecast Revenue Growth

Data Unavailable

* 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.