Focusing on the stocks that are holding well with contraction in daily range, volatility & Volume.
#GOLDIAM
#JSWSTEEL
#DYNAMATECH
#OIL
More from Ravi Sharma
Read everything written on Wyckoff, Livermore and written by Wyckoff, Livermore.
You would find the roots of all patterns, especially the trend/momentum following ones in their methods.
Once you get the dynamics of Price/Volume, any good book on chart patterns will do.
You would find the roots of all patterns, especially the trend/momentum following ones in their methods.
Once you get the dynamics of Price/Volume, any good book on chart patterns will do.
Any book in which we can read such patterns and the knowledge you have?
— Krish (@MasculinityMon1) August 13, 2021
I read about it in 'Trading for a Loving written by Dr. Alexander Elder.
I highly recommend this book to all the beginners in stock market.
* Trading for a Living
I highly recommend this book to all the beginners in stock market.
Sir, if not wrong you taught MACD -H in your elearn webinar also? From where you have learned it?
— Prakhar (@Indiantrader101) August 23, 2021
* Trading for a Living
This is one of the sell signals I follow. It should give you some idea.
Since market cap of IRCTC is good, I reduced the move rule from 40% to 30% in this case. https://t.co/qzL5rgmtg8
Since market cap of IRCTC is good, I reduced the move rule from 40% to 30% in this case. https://t.co/qzL5rgmtg8
Just a small doubt . I sold Yesterday thinking it was a climax 6% move . How did you decide to sell today ?
— Volatility and Volume Trader (@VolVolatTrader) September 7, 2021
Any rules where you sell positions . Just to learn
More from Jswsteel
#Metals Expecting metals to do well from here. I am marking two levels, first one is bullish above, second one is a weekly closing stop for long trade. Posted about metals earlier as well, so just an update
#TataSteel 1483/1367 #JSWSteel 733/664 #SAIL 128/112 #Nalco 86/71 https://t.co/ENmCqITEmA
#Hindcopper 150/109 #Hindalco 450/399 #Vedl 307/260 #Hindustanzinc 345/293
#GPIL 1420/1084 #Sardaenergy 747 / 614 #JindalPowerSteel 428/357
#TataSteel 1483/1367 #JSWSteel 733/664 #SAIL 128/112 #Nalco 86/71 https://t.co/ENmCqITEmA
Could be time to book out of large cap IT, if #Dxy continues to correct, fund flow could again chase risky assets #Banks #metals #midnsmall caps.
— Dare2Dream (@Dare2Dr10109801) August 23, 2021
Just my observation.
Below todays lows on small cap index could be game over for now. But looks like a ABC corrective done
#Hindcopper 150/109 #Hindalco 450/399 #Vedl 307/260 #Hindustanzinc 345/293
#GPIL 1420/1084 #Sardaenergy 747 / 614 #JindalPowerSteel 428/357
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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.