SEE
52
2
BWA
53
-7
ESS
40
-5
ILMN
73
4
RCL
68
4
BK
74
5
AKAM
64
2
CMA
70
5
AME
72
6
MU
75
4
AIV
37
-2
A
43
-5
CNP
49
-6
ITW
37
-2
GOOGL
47
4
SWKS
55
2
GOOG
57
2
CFG
95
2
CI
48
-4
HPE
75
7
SEE
52
2
BWA
53
-7
ESS
40
-5
ILMN
73
4
RCL
68
4
BK
74
5
AKAM
64
2
CMA
70
5
AME
72
6
MU
75
4
AIV
37
-2
A
43
-5
CNP
49
-6
ITW
37
-2
GOOGL
47
4
SWKS
55
2
GOOG
57
2
CFG
95
2
CI
48
-4
HPE
75
7
Financhill
Back

iShares Global Clean Energy ETF Stock Predictions

Share Price Moved. Momentum Hasn't Slowed.

DISCLOSURE: This is a paid advertisement for RAD Intel's Reg A offering and involves risk, including the possible loss of principal. Please read the offering circular and related risks at invest.radi
Buy
61

ICLN
iShares Global Clean Energy ETF

Last Price:
$16.45
Seasonality Move:
-0.24%

7 Day Trial

ALL ACCESS PASS

$ 7

14K Investors Got In Earlier. You Still Can.

DISCLOSURE: This is a paid advertisement for RAD Intel's Reg A offering and involves risk, including the possible loss of principal. Please read the offering circular and related risks at invest.radi

iShares Global Clean Energy ETF Stock Forecast

  • Over the next 52 weeks, iShares Global Clean Energy ETF has on average historically risen by 4.3% based on the past 17 years of stock performance.
  • iShares Global Clean Energy ETF has risen higher in 7 of those 17 years over the subsequent 52-week period, corresponding to a historical accuracy of 41.18%
  • Is iShares Global Clean Energy ETF Stock Undervalued?
    The current iShares Global Clean Energy ETF [ICLN] share price is $16.44. The Score for ICLN is 61, which is 22% above its historic median score of 50, and infers lower risk than normal.
  • ICLN is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will iShares Global Clean Energy ETF Stock Go Up Next Year?

  • Over the next 52 weeks, iShares Global Clean Energy ETF has on average historically risen by 4.3% based on the past 17 years of stock performance.

iShares Global Clean Energy ETF Stock Rating

Buy
61
iShares Global Clean Energy ETF (ICLN) is a Buy

Is iShares Global Clean Energy ETF overpriced?

  • iShares Global Clean Energy ETF has risen higher in 7 of those 17 years over the subsequent 52-week period, corresponding to a historical accuracy of 41.18%

iShares Global Clean Energy ETF Stock Price History

Is ICLN stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and ICLN is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
Industry:
Sector:
Type:
etf
Website:

52-Week Data

52-Week High:
18.20
52-Week Low:
10.46

Prediction Charts

Market Cap:
0
Price in USD:
16.44
Volume:
2.2M
Beta:
1.40

Technical Analysis

SMA50:
16.79
SMA100:
15.71
SMA200:
14.08
52-Wk Change:
44.85%

Stock Predictions

  • Is iShares Global Clean Energy ETF stock public?
    Yes, iShares Global Clean Energy ETF is a publicly traded company.
  • What is the iShares Global Clean Energy ETF stock quote today?
    The iShares Global Clean Energy ETF stock price is 16.44 USD today.
  • How to buy iShares Global Clean Energy ETF stock online?
    You can buy iShares Global Clean Energy 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
Dec-2 16.75 16.72 16.84 16.64
Dec-3 16.67 16.64 16.72 16.53
Dec-4 16.62 16.97 17.00 16.61
Dec-5 16.97 16.87 17.07 16.41
Dec-8 16.90 16.70 16.96 16.56
Dec-9 16.64 16.68 17.50 16.61
Dec-10 16.60 16.74 16.86 16.49
Dec-11 16.66 17.04 17.05 16.54
Dec-12 17.06 16.60 17.07 16.49
Dec-15 16.72 16.58 16.75 16.54
Dec-16 16.33 16.29 16.43 16.19
Dec-17 16.30 16.00 16.40 15.94
Dec-18 16.16 16.18 16.35 16.13
Dec-19 16.29 16.44 16.51 16.27

iShares Global Clean Energy ETF Earnings

Data Unavailable

iShares Global Clean Energy ETF Forecast Revenue Growth

Data Unavailable

* iShares Global Clean Energy 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.