Books all Traders Should Definitely Read

1 . Secret of Profiting in Bull And Bear Market : Stan Weinstein
2. How to make Money in Stocks : William o Neil
3. Trade Like a Stock Market Wizard :
4. Think and Trade like a champion:
markminervini

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Yantrodharaka Anjaneya Temple, Hampi, Karnataka.

This temple dedicated to pawanputra Hanuman, near the banks of Tungabhadra river was built by dwaita philosopher and rajguru of the Vijayanagar empire, Sri Vyasaraja around +500 years ago.

:It is only in this temple that Hanuman appears in a prayer position. In this image, Bhagwan Hanuman’s crown has been formed by his tail.12 monkeys have been carved around this amulet.

:They represent the 12 days Sri Vyasaraja prayed to Hanuman ji. Each monkey holds the tail of the monkey in front of him but is facing backward. Seed syllables have also been carved around the amulet.

:It is believed that Sri Vyasaraja used to draw a picture of lord Hanuman here on the rocks before offering prayers using charcoal and the sketch disappeared after prayers.This incidence happened for 12 days in a row until he pleaded to bhagwan to appear in front of him.

On the 12th day, Hanuman ji appeared in front of Sri Vyasaraja and blessed him. Hanuman asked Sri Vyasaraja to constrain him in a hexagonal amulet & install him in that place.

ARULMIGU SRI PARTHASARATHY SWAMY KSHETRAM, CHENNAI (TN)

Divya Desha where Perumal appears with moustache of a Sarathi (charioteer) to conduct Arjun’s Rath in Kurukshetra war.
Here, Venkatkrishna-Parthasarthy is present with his entire family.

He is flanked by Sri Rukmini, Sri Balarama, Satyaki, son Pradyumn and grandson Anirudha.
It is said that on the request of Raja Sumathirajan, Sri Perumal appeared and stayed here as Arjun’s charioteer (Partha-sarathi).

He is without chakra as he had promised not to wield weapons in Mahabharata war.
The face has scars caused by Bhishma’s arrows on Arjun. Prabhu took the arrows on himself to protect Arjun.

The Naivedyam offered here does not have spices. Ghee is used in it to cure Prabhu’s wounds. Sarkarai Pongal is famous here.

It is said that Rishi Bhrigu found Devi Lakshmi (as Vedvalli) in Alli flower in the mandir pushkarini. Later, Sri Ranganatha came here to marry her.

1/ So here is a thread on how I turned $32,000 into $1.2m and back to pretty much zero (once taxes are paid).

Just note, I am not bitter or salty in any way at all, the last 2 years have been an amazing ride - travelled the world, been wealthy, been poor.

2/ Dec '16, my advertising agency folded, I had a little bit of money left and I put $32k into Bitcoin and Ether. As it started to go up I diversified into everything, Monero, Dash, this that, any crap - even Ripplecoin. Everything just kept going up.

3/ By March I think I had around $300k and $500k by the summer. I used to take 25% out but towards the end of the summer I got greedy and put it all back in and by December it was $1.2m.

4/ Thinking I was an absolute genius I decided to start a bunch of businesses. As silly as it sounds I had this goal of making $5m as I wanted to buy Bedford Town Football Club and get them in the league, and as Crypto was going up forever I needed 6 months.

5/ So:
- Trading (income 1)
- Podcast (income 2)
- Mining (income 3)
- Mining pool (income 4)
- Consulting (income 5)

Yes - all of the above as a one-man army :)

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.

THE LAST PRINCESS OF LAHORE - BAMBA DULEEP SINGH (1869 - 1957)

Thread

Post partition, every morning a weak old woman would board the Model Town bus service headed to the city. The conductor never asked her for money or he would invite anger of the last Queen of Punjab.

1/n

Princess Bamba Sutherland, the eldest daughter of Maharaja Duleep Singh and grand-daughter of Maharaja Ranjit Singh, was born on Sep 29, 1869, in London.

Duleep Singh, the last Maharaja of Punjab was taken away to England by British after annexing Punjab.

2/n

Since he was still a child he was forcibly converted to Christianity and made to adopt British values in order to prevent him from ever thinking about regaining Punjab.

He was also kept away from his mother Maharani Jindan.
When he finally met his mother years later...

3/n

...he was told about his lost kingdom and religion after which he decided to reclaim it from British treachery.
During his struggle he married and had six children, 3 sons & 3 daughters from the 1st marriage.

Bamba was the most colorful character among 6 and was a rebel...
4/n

...like her father and daring like her Grandfather Ranjit Singh. She married Col Sutherland who later became principal of King Edward Medical College.

When she got permission to bring her grandmother Maharani Jindan's ashes to Lahore in 1924, she saw a huge crowd gathered...
5/n