#Technicals
Mkt time in a day 375 min .
Hence anything divisible by 375 should be your intraday timeframe for trading or analysis to have a completeness.
1/3/5/15/25/75/125 minutes tf and of course daily tf.
Eg: 5 - 15 -75 combination for day trading / 1-5-15 for scalping.

A #story from #Thiruvilayadal puranam-one of divine leelas of Bhagwan Shiva

#threadseries #Madurai

Story 16- it is about how Bhagwan Shiva explained the meaning of Vedas to the Rishis.

வேதத்துக்குப் பொருள் அருளிச் செய்த படலம்

Once there was a great deluge,everything in the world was destroyed.All lifeforms that existed got perished.Afterwards ,due to Bhagwan Shiva creation started.Then from Bhagwan Shiv ji's mouth-birth of 🕉 OM- Pranavam happened.From Pranavam,4 vedas appeared. Rishis learned them.

Many Rishis in Naimisharanya learned Vedas&recited them but they didn't understand the meaning&essence of Vedas. They were worried as they couldn't find any guru who can teach them the meaning of Vedas.That time,Rishi Arabhatar visited them.Rishis told him about need their worry.

Rishi Arabhatar told them that Bhagwan Shiva has given Vedas &he would be grateful enough to teach the meaning as well.But for that rishis have to rigorous penance at a sacred place.Also told them to go to Sundareswarar temple in Madurai to do tapas in front of Dakshinamurthy.

Assured them that Dakshinamurthy himself will come & teach them.Rishis proceeded to Madurai & started their tapas in front of Dakshinamurthy sannidhi for almost a year starting from Karthigai month pournami to next year Karthigai month pournami following all rituals..annadan

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 A History lesson for the MOAB:
1. The United States of America is not and has never been a Democracy, we're a Federal Republic tied together by the capital Laws of the Constitution.

Everyone in the country is about to get a harsh lesson on what this really means...

2. In 1871, February 21: Congress Passes an Act to Provide a Government for the District of Columbia, also known as the Act of 1871.

With no constitutional authority to do so, Congress creates a separate form of
government for the District of Columbia.

3. A ten mile square parcel of land (see,
Acts of the Forty-first Congress,” Section 34, Session III, chapters 61 and

4. The act — passed when the country was weakened and financially depleted in
the aftermath of the Civil War — was a strategic move by foreign interests
(international bankers) who were intent upon gaining a stranglehold on the coffers and neck of America.

5. Congress cut a deal w/ the international bankers(Rothschilds of London) to incur a DEBT to said bankers. Because the bankers were not about to lend money to a floundering nation w/out serious stipulations, they devised a way to get their foot in the door of the United States.

HELLO: If you pee and every time you finish, your urine looks like this picture, you may have a serious medical illness.

Foamy urine especially if it is persistent and noticeable over time may mean you have a serious kidney problem.

Let’s talk about this today...
RT for others.

What are the features of a normal urine?

A normal urine should have a light yellow colour, painless, odourless (or faint smell), steady stream and should ideally not foam when you pee.

When there’s something wrong, then you see changes in all the above normal features of urine.

For instance if urine becomes very deep yellow, it may mean you are dehydrated;

If urine becomes painful or smells really really bad, it may mean you have an infection;

If urine has a poor stream, especially in a man, it may mean a prostate problem like cancer.

Do you get me?

So today let’s talk about Foamy Urine.

What are the things that can cause urine to suddenly be foamy. As I said in the first tweet, it MAY mean a serious medical illness like a serious kidney problem.

First things first- it does NOT always mean a problem but it may as well.

Now what are the causes of Foamy Urine:

1. SPEED-
If you pee really fast or with a lot of force, it may make your urine more foamy than usual. The speed and force makes the urine generate a lot of bubbles which tend to almost quickly disappear as it is formed in the toilet bowl.

Technical Analysis Masterclass- Part 2

'Entering the trade'

Entering a trade without ascertaining a certain things is gambling.

In this masterclass we will learn the pre-requisites to enter a trade.

DON'T ENTER A TRADE WITHOUT DETERMINNG THE FOLLOWING.

Please share.

We understand what reward to risk (popularly called risk to reward) is.
It will be denoted by R:R.

We will also try to bust a few myths about R:R and how to avoid losing trades.

Before entering a trade, you need to determine 3 things.

1. Entry trigger
2. Stop loss
3. Target

1. Entry trigger = Reasons for entering a trade. There could be multiple reasons or a single reason for entry.

Generally a set of reasons AKA confluence is a higher probability trade and a generally a safer entry.

Example of an entry trigger.

2. Stop Loss.

The price in the opposite direction of the trade where the trade is exited, at a loss.

At this level, the reason for the entry becomes invalidated according to TA and the price can then move in the opposite direction, probabilistically.

3. Target is the possible price level that the asset might touch based on previous trends or confluence AND where a possible reversal could occur.

Target is the next path of least resistance from where the price might reverse.

We will always ONLY use TA to determine all 3.