Am I concerned about Twitter banning the President? No, because I've been online since I was 17 years old. Any venue too haphazardly moderated—either too strictly or too loosely—grows unstable and collapses.

So what if Twitter is Too Big. So was MySpace, Livejournal, Usenet...

Catch me if you can @Mitesh_Engr

Time for a🧵
Mitesh Sir's EXPIRY Option Selling 101:
• What to look for?
• Strike Selection & Ratios
• SL mgmt
• Avoiding freezes
• Monthy Expiry
• Event days
• How he would have traded last expiry?

In collaboration with @AdityaTodmal

Edward de Bono says intelligence is like a🚗 Automobile

“A powerful car may be driven badly. A less powerful car may be driven well. The skill of the car driver determines how the power of the car is used.”

What @Mitesh_Engr Sir looks at for Expiry Trading:

• Technicals of BNF
• Individual Heavyweight stocks of BNF
• Support/Resistance of BNF on weekly TF
• Also has Superb SL management
• When it comes to adjustments, he is always on toes

How to Select Strikes to Sell?

• You can't sell based on premium
• Follow only trend
• Price action is best to sell on expiry day
• Never wait for the options to go to zero

Using Ratios to Sell:

• If BNF is in a range then strangles
• If breakout/ breakdown from a range then directional
• Selling 70/30 or 80/20 ratios
• 2 examples on how he used ratios

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.

1/25

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.

2/25

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.

3/25

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.

4/25

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

ANTARVEDI LAKSHMI NARASIMHA SWAMY, EAST GODAVARI DIST.(AP)

Located where Vasistha Godavari joins Bay of Bengal.

Present structure was built by Kapanati Krishnamma of Agnikula Kshatriya clan in 1823.

It is one of the oldest among 32 Narasimha Kshetras in AP.
@LostTemple7

Legend says that here Maharishi Vasishta prayed to Narasimha to end the demon Rakta Vilochana.

Narasimha created Maha Maya, also called Ashwaroodambika or Gurralakka to suck his blood as he got a boon from Brahma that blood falling from his body would produce another demon.

After his death, the stream of blood was let out by Maya to form a pond called Rakta Kulya.

Narasimha,then,washed Sudarshan Chakra at a place called Chakra Tirtha.

Brahma is said to have performed Yagna and installed Shiva Linga here. Hence the place was called Antarvedi.

Later Sri Rama prayed here and Arjun also visited here.

Panchamrita Abhishekam is done every day.
One can have Nijarupa Darshanam (main murti without any decorative shield) between 6.00 a.m. and 8.00 a.m.

Anna Prasadam is very famous and distributed daily from 10:30 to 2 pm.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.