OFSS
Double Top Buy & Super Pattern - Bullish above 4181.3 daily close on 1% Box Size chart. https://t.co/vXz5rNsos5
OFSS
— Saket Reddy (@saketreddy) June 30, 2020
Turnaround??
Looks like it!
Recovered 100% of the Feb, March correction!
Parent also gave a strong guidance for Indian Business!
DTB Above 2925 on Long Term Charts!
Counts open till 3930 & 5771! pic.twitter.com/qwxCt76hd9
More from Saket Reddy
They are the real compounders, they've created massive wealth compared to others! https://t.co/PluVwU5OXG
Hope Everyone saw BANDHANBNK Numbers. I feel many such banks will go through a massive NPA Cycle followed by depleted Tier 1.
— Saket Reddy (@saketreddy) January 24, 2021
Hence, stay with the Top 3 banks :-
HDFCBANK
KOTAKBANK
CUB
They've low cost of funding, well provisioned Moratorium book, high ROEs & high Tier 1 CAR.
Haters are still hating it, time to pyramid once again!
Double Top Buy, T20 Pattern - Bullish & Super Pattern - Bullish above 625.07 daily close on 1% Box Size chart. https://t.co/EDqa7dAAKn
LAURUSLABS
— Saket Reddy (@saketreddy) May 3, 2021
Haters are gonna hate, but IMO, this is the best opportunity to start pyramiding and make it a well sized holding.
A trio of patterns coming together, has one of the highest success rate!
Double Top Buy, T20 Pattern - Bullish & Super pattern - Bullish above 477.81! https://t.co/SqzkTyb9wx pic.twitter.com/hTj7mfAOqy
Double Top Buy triggered above 459.17 (2295 Pre Split) daily close on 1% Box Size chart. https://t.co/0jUBx6hKMI
KPRMILL
— Saket Reddy (@saketreddy) September 3, 2021
Double Top Buy & T20 Pattern - Bullish above 2051.18 daily close on 3% Box Size chart. https://t.co/bJgLA1BGuv pic.twitter.com/xpTKy6vnBT
Double Top Buy above 1485.56 daily close on 1% Box Size chart. https://t.co/zY8JwRIZUu
HAVELLS
— Saket Reddy (@saketreddy) August 30, 2021
Double Top Buy, Super Pattern - Bullish & T20 Pattern - Bullish above 1266.91 daily close on 1% Box Size chart. https://t.co/78Tb2dKZkm pic.twitter.com/4lWz25jGgk
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Here's the most useful #Factualist comparison pages #Thread 🧵
What is the difference between “pseudonym” and “stage name?”
Pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie stars,” while stage name is “the pseudonym of an entertainer.”
https://t.co/hT5XPkTepy #english #wiki #wikidiff
People also found this comparison helpful:
Alias #versus Stage Name: What’s the difference?
Alias means “another name; an assumed name,” while stage name means “the pseudonym of an entertainer.”
https://t.co/Kf7uVKekMd #Etymology #words
Another common #question:
What is the difference between “alias” and “pseudonym?”
As nouns alias means “another name; an assumed name,” while pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie
Here is a very basic #comparison: "Name versus Stage Name"
As #nouns, the difference is that name means “any nounal word or phrase which indicates a particular person, place, class, or thing,” but stage name means “the pseudonym of an
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.