#Nifty50 in a very clear CORRECTIONAL pattern since October 2021. Does not get any clearer like this!
Target: +25% higher in major Rising Wedge.

Now think: If Nifty50 is clearly about to soar - would it then be plausible, that the US indices are about to crash?

THE LAST STAND OF PAVAN KHIND - THE 300 BATTLE OF INDIA

A long🧵that u must read

In desperate times, great men come forth. Those men who are ready to sacrifice all of their lives work for a single cause.

Baji Prabhu Deshpande is one such man.

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Battle was between the Maratha Warrior Baji Prabhu Deshpande and Sidi Masoud of Adil Shahi Sultanate.

In 1660, the Maratha King Shri Chhatrapati Shivaji was trapped in the fort of Panhala, under siege and vastly outnumbered by an Adilshahis army led by Sidi Masoud.

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And while everyone is thinking that finally the Maratha king will be subdued, Shivaji planned to escape to the fort of Vishalgadh. It was administered by a Maratha chieftain named Range Narayan Orpe under Shivaji.

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For months the siege warfare continued as Shivaji made sure that the food source of the Besieging army drops down, due to which they will initiate a general assault on the castle.

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Shivaji, Baji Prabhu, and around 600 of their best troops, hardened mountaineers of the Maval region, would dash through the Adilshahis force at night.

A man named Shiva Kashid, who resembled Shivaji in appearance, had volunteered to dress like the king and get captured.

5/25

1/OK, I should really write another thread about university-centric regional development, because I think people often make some (very understandable) mistakes when thinking about this issue.

2/The biggest myth, I think, is that universities help regions by educating locals as undergraduates.

Skeptics of universities say: "But most of the people who graduate end up leaving."

3/In fact, most of what a university does for a regional economy is NOT about educating local kids.

Educating local kids is good for the nation, but doesn't help a region much.

The way a university helps a region is through

4/Undergraduates usually leave town after graduation.

But university RESEARCH pulls in OTHER smart people from other regions, and they stay there.

Here's a paper showing that this is the main way universities increase a region's human capital:

5/Research also pulls in business investment.

Companies want to partner with university labs, so they can commercialize the technologies the labs produce. So they invest in the labs, and sometimes they even put their offices in the town.

LING PURANA: IMPORTANCE AND CHARACTERISTICS

Reading Ling Purana provides bhog and moksha to the reader and listeners. It is about Shiva's sermon to Brahma when Shiva entered the Agni Ling and preached about Dharma sidhhi through the stories of Agni Kalp.

Vyasji divided this into two parts. This book is different from others and has eleven thousand shlokas which depict the glory of Shiva. This Puran is the summary about importance of Tridev.
It starts first with a questions. Then it describes the Shrishti in brief.

Then there is description of Yog and Kalp. Next is the evolution of Ling and its puja Vidhi. It consists of dialogue between Sanat Kumar and Shail etc. It also mentions the character of Dadhichi, the dharma representation of that yug, Bhuvan kosh description,

Chandravansh and Surya vansh. Next there is elaborate description of Shrishti, story of Tripur, Ling and Pashu Paash vimoksha, Vrats for Shiva, Discipline, Repentance, Arisht, description of Shri Shail. Next is the story of Andhakasur, Varah, Narsingh,

k¡lling of Jalandhar, Shiv sahastra naam, story of Daksha's yagya and its destruction, killing of Madan and marriage of Parvati.

Next is Vinayak katha, Shiv tandav, Ambrish katha and Upmanyu .

🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links

2⃣ Each page has 1/N points (where N as the total number of pages)

3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links