#Belthold : Remember the Sumo wrestler 😅, someone did mention about it recently.
An inverse occurrence is about to witness failure, awaiting for its impact .
#CandleTrading tag would help you understand more of some of these ancient yet effective techniques...
#CandleTrading : #Bullish #Belthold#Pattern #Psychology :Pattern importance could be traced back to the traditional #Japanese sport of \u2018Sumo #wrestling'. The importance of \u2018Mawashi ( Wrestlers Belt) \u2019 & its tactical move for gripping the opponent to throwing him off the ring. pic.twitter.com/lN60xad6Ma
— Sacchitanand Uttekar (@Sacchitananad) August 16, 2020
More from Sacchitanand Uttekar
#Adaniports #ESCORTS #IOC were some of its recent spots
Latest occurrence getting confirmed #BHEL #BOSCH #CANBK #MGL & #BANKNIFTY ☺️
Watch out for these 🎁
#CandleTrading : #Bullish
— Sacchitanand Uttekar (@USacchitanand) August 24, 2021
'Lord #NarsimhaPattern' in #M&MFinancial \U0001f64f\U0001f64f .Check properties \U0001f60a#Pattern #Psychology :
First long bar depicts the long pillar from which the lord emerges & kills the negativity pic.twitter.com/gF0mu4qHLR https://t.co/Fb2WUq1fJZ
This is how it works & holds price within 😊, reaction swings at its best possible levels with #Candlesticks providing clarity on breakouts & breakdowns.
Most price action retaining with tools support & median levels. Next week shall be interesting 😜 https://t.co/XIN54TOT41
#Nifty50 trend & demand supply zones via #AndrewsPitchfork.
— Sacchitanand Uttekar (@USacchitanand) June 13, 2021
Its a tool which is ignored by most traders & hence highlighting it here for better reference learning due to its relevance with current price action. pic.twitter.com/5G33NU9q8Z
More from Stocklearnings
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili
Share for the benefit of everyone.
Here are the setups from @Pathik_Trader Sir first.
1. Open Drive (Intraday Setup explained)
#OpenDrive#intradaySetup
— Pathik (@Pathik_Trader) April 16, 2019
Sharing one high probability trending setup for intraday.
Few conditions needs to be met
1. Opening should be above/below previous day high/low for buy/sell setup.
2. Open=low (for buy)
Open=high (for sell)
(1/n)
Bactesting results of Open Drive
Already explained strategy of #opendrive
— Pathik (@Pathik_Trader) May 27, 2020
Backtested results in 30 stocks and nifty, banknifty.
Success ratio : approx 40-45%
RR average 1:2
Entry as per strategy
Stoploss = Open level
Exit 3:15 PM Or SL
39 months 14 months -ve, 25 +ve
Yearly all 4 years +ve performance. pic.twitter.com/nGqhzMKGVy
2. Two Price Action setups to get good long side trade for intraday.
1. PDC Acts as Support
2. PDH Acts as
So today we will discuss two more price action setups to get good long side trade for intraday.
— Pathik (@Pathik_Trader) June 20, 2020
1. PDC Acts as Support
2. PDH Acts as Support
Example of PDC/PDH Setup given
#nifty
— Pathik (@Pathik_Trader) June 23, 2020
This is how it created long setup by taking support at PDC.
hopefully shared setup on last weekend helped. pic.twitter.com/2mduSUpMn5
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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.