Analyzed last 12 years of historical data to check if there are any patterns we can observe to find the best time to invest in stocks for long term. #Nifty50 #investing #stocks 1/10
and in the year 2020, its less than 10 stocks, if you compare the above data with below Nifty chart, you can easily conclude that those extreme panic period were the times market bottomed out.
More from Kirubakaran Rajendran
Please note that there is no way to get the historical lot size of stocks futures, NSE don't publish it directly, so we need to do some calculated steps to get that data. Download Market Activity report https://t.co/HKLkSVtXEI
The zip file contains multiple files, open the second file.
The file will contain stock symbol, expiry date, OHLC data, along with that you get traded quantity and No of contracts traded, using this data we can calculate the lot size of every stock symbol. Simply divide Traded QTY / NO of contracts gives you the lot size.
So to get the historical stock futures data, all you need to do is change the date in the below link
https://t.co/xIBXsPpIVt For an example, to get the historical stock futures lot size data for Sep 2016, use https://t.co/Criu7S3Fi5
https://t.co/pc1jr1xBlI
Am sharing my journey on how I started trading 15 years before when there was very limited resource. If you are a beginner who is looking to get started with Stock Market, this thread would be helpful.\U0001f9f5
— Kirubakaran Rajendran (@kirubaakaran) April 26, 2022
https://t.co/KZJ1FKCXSp
Many of my friends who work at Corporate culture are fed up with their work life, one question they keep asking me is how much money do I need to retire and live comfortably? Here\u2019s a short thread \U0001f9f5 pic.twitter.com/gNEOFOChlh
— Kirubakaran Rajendran (@kirubaakaran) May 24, 2022
https://t.co/pTnbkjVpr0
Year 2022 has been disastrous for many asset classes, the world economy is at 40 year high inflation. Are we headed for another stock market crash? Here's a detailed analysis. \U0001f9f5 pic.twitter.com/ZYch9yBHEq
— Kirubakaran Rajendran (@kirubaakaran) May 19, 2022
https://t.co/3QXmND1x6Y
I have closely observed FinNifty for couple of weeks and then started trading live since last 4 expiry. If you are looking to start trading with FinNifty weekly option then this thread might be of great help to you. \U0001f9f5
— Kirubakaran Rajendran (@kirubaakaran) July 12, 2022
More from Trading
You May Also Like
#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
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.