MARKET COMPOSITE
Market TodayThemes and Stocks SummaryThematic Stock SearchCrypto SummaryDaily Refresh Schedule
Clean Energy Operator Stocks$86.67
0.80%4:00PM 05/23/2022
The list of companies include AZRE-Azure Power Global Ltd, AZRE-Azure Power Global Ltd, NOVA-Sunnova Energy International Inc, SPI-SPI Energy Co Ltd, VVPR-VivoPower International PLC, AY-Atlantica Sustainable Infrastructure Plc, AZRE-Azure Power Global Ltd, CWEN-Clearway Energy Inc, ELLO-Ellomay Capital Ltd, FTS-Fortis Inc., IEA-Infrastructure and Energy Alternatives Inc, NEE-NextEra Energy Inc, POR-Portland General Electric Co
Latest intraday update before market close @ 14:46:00 PM 05/24/2022
Summary :
Average return is down -1.6%
Median return is down -0.8%
3 out of 14 stocks are up (limited to those with intraday pricing feeds).

Aggregated price index

Aggregated price index with volume information

Summary:

  • Clean Energy Operator stocks up 0.8% on average while median return up 1.1% in a day
  • Clean Energy Operator stocks up 7.9% on average while median return up 3.6% in a week
  • Clean Energy Operator stocks down 3.7% on average while median return down 0.1% in a month
  • When average return is significantly different from median return, this implies an asymmetry - composite return is driven by some outliners.

Aggregated price index (close) is based on equal weighted constituencies returns. Average short volume and average total volumes are averaged across all volume data among constituencies.

Related Stocks

Click on + to show price series and click on ticker for stock detail page

Ticker
1 Day Return
1 Week Return
1 Month Return
PE Ratio
PE/G
P/B (mrq)
P/S (ttm)
Earning Growth
MarketCap
Short %
Held By Institutions %
RSI
Price Pattern
Resist Support
Days Since Channel Change
Channel Slope (daily rate %)
AZRE4.6%
16.3%
-0.5%
-1.620.050.09684.9M12%97%52/\250-0.2%
IEA4.6%
18.6%
-24.4%
-3.464.860.17384.2M11%69%40-/-250-0.1%
CIG3.4%
-7.9%
-21.5%
0.240.185.9B23%38\-/Below support1020.2%
CEPU3.0%
1.9%
3.0%
0.060.000.02-52%562.9M3%53\-/1250.1%
NOVA2.0%
15.0%
10.7%
-0.084.6122.352B9%97%50/-\125-0.5%
NEE1.9%
3.5%
-1.9%
98.283.863.858.40296%142.1B1%79%47-/-/\125-0.1%
NEP1.7%
4.1%
-4.6%
0.472.305.935.6B3%84%45\/\125-0.1%
EBR1.1%
10.3%
9.4%
-0.050.190.4833%14.2B1%65\/\/Above resistance1250.1%
KEP0.9%
2.0%
5.9%
0.000.00273%11.5B4%53\/\125-0.1%
FTS0.4%
3.1%
-0.1%
1.242.3613%24B57%62\/At resistance1250.1%
CWEN0.2%
2.6%
3.6%
239.621.734.403.7B3%93%51/\/\125-0.0%
POR-0.3%
1.9%
-9.7%
20.672.651.591.9419%4.3B1%99%40\/Below support2500.0%
AY-0.9%
3.9%
3.5%
0.672.483.753.7B6%48%54-/\125-0.1%
SPI-2.5%
3.6%
-6.1%
3.361.1754.6M3%10%45-/-249-0.3%
VVPR-8.2%
33.0%
5.1%
2.112.9626.7M1%5%55\54-0.9%

* P/E and MarketCap are refreshed daily using IEX Cloud service. P/B, P/S, PEG, growth, short%, HelbyInstitute are refreshed weekly using Yahoo feeds. For latest stock stats please visit Yahoo Finance.

* Price Patter: / is upward trend, \ is downward trend, - is sideway. Click on the ticker to go to stock page to see Bayesian Trend model plot of the time series.

* Channel and change points are derived from Bayesian Trend model, where the channel slope is the growth rate while change points are those the model partition the time series.

Related ETFs (click on ticker for stock detail page)

leak data

  • 1M winners are : Winners for past month are $NOVA 10.7%, $EBR 9.4%, $KEP 5.9%, $VVPR 5.1%, $CWEN 3.6%
  • 1M losers are : Losers for past month are $NEP -4.6%, $SPI -6.1%, $POR -9.7%, $CIG -21.5%, $IEA -24.4%
  • 1W winners are : Winners for past week are $VVPR 33.0%, $IEA 18.6%, $AZRE 16.3%, $NOVA 15.0%, $EBR 10.3%
  • 1W losers are : Losers for past week are $CIG -7.9%
Pick two stocks to compare:

Correlation Analysis

Index correlation analysis

Correlation for the past month is 27.1%, for the past 3 months is 18.7%

In the past month for a 5 days rolling window, the highest corrrelation is 43.5%, the lowest correlation is 4.0%, the latest correlation is 18.8%

When a correlation deviated from the normal level and goes lower or even negative, it indicates some of stocks have deviated from the normal direction of the group. The deviation could reverse if long term level of correlation was at a higher level. It creates trading opportunities and deserves study whether the deviation is idiosyncratic or systematic.

Among pairwise correlation, the highest correlation is 84.0% between NOVA and SPI

The lowest correlation is -30.3% between ELLO and KEP

Stock news