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If u are looking to enter a scrip just before the breakout
what would u look for?
How would u identify scrips just before breakout?

Here are a few pointers
Carefully understand the them and use at ur own discretion
(All comments r compiled from a question i posed)

1/23

Price is testing the same resistance repeatedly since long.
But now in recent times it's forming multiple candles near the same resistance with low volume.
Observe it and see for opposite move.
As soon as u get a positive candle, get in to it.

2/23

1. Volume buildup (vol > when resistance point created) along with, increase in OI, increase in delivery % on HTF
2. On LTF, price stalling around breakout area for at least 1-2hr.
3. No major events.

3/23

Stock reaching breakout LVL with HL-HH
Contraction of price and volume near it especially near 20 days ma.
If there is any breach of the latest HL it should be followed by a bullish candle with good volume.
Left side of the chart has a rally with a very steep slope of ma.

4/23

Number of wide range green bars with high volumes.
If stock is at its ATH then it adds more conviction bcz there wont b supply after that point

Consolidation below the resistance, volume of the candles & strong bullish candle closing at near highs just below the resistance

5/23

SRI KANTESH HANUMANTHA, KADARAMANDALAGI (KAR)
#bharatmandir

KANTESHA means Prabhu full of brightness.
Here, Sri Hanuman appears with a front face and sparkling eyes. Earlier, the village was also called KANTESHPURI on the name of Kantesha Hanuman.

Several thousands of years ago, Hanuman lived in this village. He once saw the Sun and mistaking it to be a fruit, began flying towards it. Since then, this village came to be known as Kadara Man Dalagi. (Kadar means rays, mandala is cluster of rays).

It is believed that King Janmejaya had set up the shrine to get rid of his difficulties.
There is a small pond on the right side of the kshetram where Teppotsava (Float festival) is celebrated.

Kanaka Dasa has praised Sri Kantesha in his various poetic compositions.

Kanaka Dasa was the first devotee to popularize the power of Kantesha. It is said that once Kanaka Dasa was deeply wounded in a battle. To seek blessings, he visited Tirupati but Sri Venkatesha appeared in his dream and advised him to see Kantesha first before seeing him.

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.

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