- You can see them in tabular format as well and get list of stocks for each sector also.
- Enhanced filter to support these sectors, so you can apply these sectors in filter also.
Dear Friends,
#sssnewfeature
We have implemented sector chart analysis feature and it is available from Scans, Positional and Analysis pages.
Power is given to you. Step ahead with your analysis with leading sectors analysis https://t.co/7rQ5UjCd2J
Dear Friends,
— SSStockAlerts (@ssstockalerts) May 19, 2021
A Sector analysis for scans feature will be added to site.
Eg:- See analysis for 52weeks high breakout, from text tile sector has more breakouts, so concentrate on Textile sector pic.twitter.com/U0cIoEeKDy
More from SSStockAlerts
#cdsl now trading at 817 from 789..
More fireworks yet to come above 827 BO
This is power of AOV analysis feature.
More fireworks yet to come above 827 BO
This is power of AOV analysis feature.
#Areaofvalue analysis#CDSL
— SSStockAlerts (@ssstockalerts) May 6, 2021
Buy near 21 SMA support. This stock respects 21 SMA for 84% time. Backtested for last 1 year.
Candle size is getting smaller and volume also less then avg volume.
Any time it can reverse from here.
Help/Supporthttps://t.co/rRCfjf3KIi pic.twitter.com/KGyyAAQ1tV
#CDSL
- Stock rallied to 986 from 789(25%) in just 23days.
- Able to catch the momentum stock near its area of value.
- Find out the stocks which respect which moving average using our AOV analysis and know this type of stocks earlier before bigger move.
- Stock rallied to 986 from 789(25%) in just 23days.
- Able to catch the momentum stock near its area of value.
- Find out the stocks which respect which moving average using our AOV analysis and know this type of stocks earlier before bigger move.
#Areaofvalue analysis#CDSL
— SSStockAlerts (@ssstockalerts) May 6, 2021
Buy near 21 SMA support. This stock respects 21 SMA for 84% time. Backtested for last 1 year.
Candle size is getting smaller and volume also less then avg volume.
Any time it can reverse from here.
Help/Supporthttps://t.co/rRCfjf3KIi pic.twitter.com/KGyyAAQ1tV
More from Screeners
VWAP for intraday Trading Part -2
A small thread.
PART 1 - https://t.co/ooxepHpYKL
Traders show your support by like & retweet to benefit all
@Mitesh_Engr @ITRADE191 @ProdigalTrader @nakulvibhor @RajarshitaS @Puretechnicals9 @AnandableAnand @Anshi_________ @ca_mehtaravi
Chart 1
Chart 2
Chart 3
Chart 4
A small thread.
PART 1 - https://t.co/ooxepHpYKL
Traders show your support by like & retweet to benefit all
@Mitesh_Engr @ITRADE191 @ProdigalTrader @nakulvibhor @RajarshitaS @Puretechnicals9 @AnandableAnand @Anshi_________ @ca_mehtaravi
VWAP for intraday Trading Part -1
— Learn to Trade (@learntotrade365) August 28, 2021
A small thread PART -2 will be released tomorrow
Traders show your support by like & retweet to benefit all@Mitesh_Engr @ITRADE191 @ProdigalTrader @nakulvibhor @ArjunB9591 @CAPratik_INDIAN @RajarshitaS @Stockstudy8 @vivbajaj @Prakashplutus pic.twitter.com/y8bwisM4hB
Chart 1
Chart 2
Chart 3
Chart 4
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1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
1/ Some initial thoughts on personal moats:
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.