Thanks @ITRADE191 bro. I'm following your setup from last few months.
PDL
PDH
VWAP
PDVWAP
PIVOTS
Its help me a lot .
I compiled your last tweets as pdf, hope it's help others also. I learn a lot of from this.
More from Optionslearnings
There are many strategies in market 📉and it's possible to get monthly 4% return consistently if you master 💪in one strategy .
One of those strategies which I like is Iron Fly✈️
Few important points on Iron fly stategy
This is fixed loss🔴 defined stategy ,so you are aware of your losses . You know your risk ⚠️and breakeven points to exit the positions.
Risk is defined , so at psychological🧠 level you are at peace🙋♀️
How to implement
1. Should be done on Tuesday or Wednesday for next week expiry after 1-2 pm
2. Take view of the market ,looking at daily chart
3. Then do weekly iron fly.
4. No need to hold this till expiry day .
5.Exit it one day before expiry or when you see more than 2% within the week.
5. High vix is preferred for iron fly
6. Can be executed with less capital of 3-5 lakhs .
https://t.co/MYDgWkjYo8 have R:2R so over all it should be good.
8. If you are able to get 6% return monthly ,it means close to 100% return on your capital per annum.
One of those strategies which I like is Iron Fly✈️
Few important points on Iron fly stategy
This is fixed loss🔴 defined stategy ,so you are aware of your losses . You know your risk ⚠️and breakeven points to exit the positions.
Risk is defined , so at psychological🧠 level you are at peace🙋♀️
How to implement
1. Should be done on Tuesday or Wednesday for next week expiry after 1-2 pm
2. Take view of the market ,looking at daily chart
3. Then do weekly iron fly.
4. No need to hold this till expiry day .
5.Exit it one day before expiry or when you see more than 2% within the week.
5. High vix is preferred for iron fly
6. Can be executed with less capital of 3-5 lakhs .
https://t.co/MYDgWkjYo8 have R:2R so over all it should be good.
8. If you are able to get 6% return monthly ,it means close to 100% return on your capital per annum.
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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.