#ASIANPAINT-3314

Near term base case 3040. Low risk (3252).
Objective is to move higher towards Fibonacci extension 2.618%(3866)

#Probability

#3/thread on Angkor wat

Christianity and islam may be the largest religion of today’s world but Sanatan dharm has the largest religious monument in the world in the form of Angkor wat. It is situated in combodia and spread across over 400 acres / 1.6 km².

It was listed as a UNESCO World Heritage Site in 1992, which encouraged an international effort to save the complex.
It was originally built as a Hindu temple dedicated to the god Vishnu. In Khmer, the Cambodian language, Angkor means "city" and Wat means "temple grounds".

So Angkor Wat means "Temple City". Its original name was Vrah Vishnuloka or Parama Vishnuloka, meaning the sacred dwelling of Vishnu in Sanskrit.
But, it gradually turned into a Buddhist temple towards the end of the 12th century & is still used for worship today.

Angkor Wat was initially designed and constructed in the first half of the 12th century, during the reign of Suryavarman II, as the king’s state temple and capital city. It was built without the aid of any machinery, as there was no machinery available at that time.

Evidence for these dates comes in part from inscriptions, which are vague, but also from the architectural design and artistic style of the temple and its associated sculptures.

Another aspect is that the five central towers of Angkor Wat symbolize the peaks of Mount Meru,

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.

Gather round, Gentle Readers. It is time I tell the story of the worst decision I ever made in an office. Some of you have heard this. Some have not. Whatever you do in your office today, this week, the rest of this year, you can console yourself by recalling this tale.

A long time ago, I was a talent agent. I worked for a woman named Susan Smith, who had her own small boutique agency. She was known for three things:

1. She had fantastic taste in clients. If there is someone you admire, odds are good that at some point, she was their agent,

2. She could negotiate a deal like few who have ever trod the earth. Casting would give her all the money they had budgeted for that part, plus a little more, plus promising to get her dog Barnaby groomed. She was magnificent to watch.

3. She was insane.

I'm sure you're thinking, "Quinn, it's the entertainment industry, they are all insane." Yes, many are. So consider this; if you told someone you worked for Susan, people who worked for insane people would look and you and whisper, "I hear she's insane."

Trump on climate: I don't believe it. Trump on Khashoggi: I don't believe it. Trump on Russia: I don't believe it. Idiocy? A canny game? Doesn't really matter as much as the underlying intellectual autocracy. In this administration only one opinion matters.

It's an assault on facts and reason. It's an assault on good governance. It's an assault on the bureaucracies that are being discounted. It's an assault on science and history. But it is also an assault on one of the underpinnings of democracy.

We live in a system that is grounded on the idea of collaborative government. Leaders may have a final word but even then, there are typically checks and balances. Hopefully, in this case, such checks and balances may work. But they also are being tested.

The president's position that he is smarter than all the world's scientists, than the entire intelligence community, than experts who have studied any issue all their lives, is, of course, asinine. But his belief that government turns solely on his opinion, is monarchic.

Louis XIV reportedly said, "L'etat est moi." That he was the state. Trump asserting that he knows better than all, discounts all advice, that his brain is enough to chart the course for America alone, is essentially saying the same thing.

List of companies with more than 50% Market Share:

1) Maruti Suzuki (passenger cars)
2) APL Apollo (structural & pre galvanized tubes)
3) CDSL (investors accounts)
4) Interglobe Aviation (air traffic passengers)
5) GMM Pfaudler (glass lined equipment)

6) Asian Paints (decorative paints)
7) Colgate (oral care)
8) Symphony (coolers)
9) PGHH (female care & vaporub)
10) La Opala Rg (opalware)
11) HLE Glasscoat (filtration & drying equipment)
12) Delta Corp (online poker games)
13) Bajaj Auto (3W segment)
14) Vinati Organics (IBB)

15) OCCL (insoluble sulphur)
16) LMW (textile machinery)
17) Bajaj Consumer (almond hair oil)
18) Indiamart Intermesh (online B2B Classified space)
19) Vst Tillers (power tillers)
20) Sanghvi Movers (overall domestic crane hiring market)
21) Emami (antiseptic & male grooming)

List of companies with more than 60% Market Share:

1) Concor (domestic container cargo transport)
2) Exide (lead batteries)
3) Naukri (Indian job market space)
4) Praj (ethanol plant installing)
5) ACE (mobile & tower cranes)
6) Pidilite (adhesives)
7) Jamna Auto (leaf spring)

8) CAMS (RTA within mutual fund industry)
9) Time Technoplast (polymer based industrial packaging)