12 Free but Extremely powerful Indicators in Trading View.
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Due to the pandemic you may not have visited your local library in a while. So come with me on a virtual library tour, courtesy of stock photography, to see what we do for a living...

Libraries are of course information resource centres, but in many ways they are so much more. To get the best out of them you need to really know your way around the stacks.

The enquiries desk is normally your first stop in a library, and this is where you will meet The Angry Librarian! Why is she angry? Because you keep asking her stupid questions!

"Are you open?"
"Do you have a toilet?"
"That chair's wobbly!"
"Why isn't it available in audiobook?"
"Someone else is on the computer and that's not fair!"

On and on it goes...

And that's why in the library we insist on silence. It's the only way to stop us swearing at all the idiotic things you ask us. And we've looked up a lot of old swear words: beardsplitter, bescumber, rantallion, smellfungus etc. We're such muckspouts...

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

THREAD: What is Golden Crescent and Golden Triangle and how it impacts India?

Golden Crescent region of South Asia - comprises of Afghanistan, Iran, and Pakistan - which is a principal global site for opium production and distribution.

Golden Triangle is the area where the borders of Thailand, Laos and Myanmar meet at the confluence of the Ruak and Mekong rivers. The Golden Triangle is called so because of the triangular shape formed by the locations of New Delhi, Agra and Rajasthan on a map.

India is wedged bw world’s 2 largest areas of illicit opium production, Golden Crescent & Golden Triangle, that has made Indian borders vulnerable to drug trafficking. It flows from 2 fronts, NW & NE, that possesses dual concern - violation of border & threat to national security

- Golden Crescent is world’s leading opium and cannabis producing region since 1983.

- Its proximity to Indo-Pak border has worsened the trafficking of hashish and heroin into Indian soil

- Trafficking happens through the border states of J&K, Punjab, Rajasthan and Gujarat.

- Golden Triangle is leading opium producing region of the South-east Asia, also an ancient narcotics supply route to North America & Europe.

- Myanmar-Northeast nexus is recognized by NCB as the root of heroin & chemical drugs

- Myanmar produces 80% of heroin produced in world

Mr. Vijay Kedia built a net worth of over Rs. 800 crores.

But you probably never read past that headline.

So I binged hours of interviews to learn his investing principles and strategies.

Here are 20 lessons on investing from @VijayKedia1 Sir:

Collaborated with @AdityaTodmal

Before I start, a quick disclaimer, please don't ape his portfolio.

As the entry price, horizon and risk appetite would be far different than yours.

Rather lets draw inspiration and try to learn his stock picking skills.

Now let's DIVE IN👇

1/ Started off as a trader:

- Soon, beginner’s luck started to fade out and loses started to mount, to an extent where his mother was about to sell her ornaments.

- Although he was able to dodge the situation.

- This incident taught him the biggest lesson to have a stop-loss.

2/ Punjab Tractors:

- In 1990, he made his first investment by putting in his 10-years savings of Rs 35,000 in this stock, based on a news trigger that tractor industry will witness a turnaround.

- It worked and fetched him 4-5 times which he calls it as a fluke.

3/ He believes that an investor must possess three qualities:

i. Knowledge,
ii. Courage, and
iii. Patience.