#NiftyMetals this correction is healthy. Gap of 7th May filled. May test 5019 levels. Bullish above 5400 levels again.

Sharing one incident... After Modi's Trichy youth conference, the very next morning when police were clearing up their mini-control room, they found 5 strange boys who were roaming there with bags. When police enquired them "Sir, we are from Subramaniapuram in Trichy.

Whatever political meeting or conference is held in this ground, we come here on the same night or morning hours to collect the Liquor bottles to sell in the scrap shop for 50 paisa to 1 rupee per bottle and we used to earn Rs 200 to Rs 400 on each such event.

Even in the last DMK meeting the very next day we collected around 1500 bottles. But for Modi's BJP meeting, we could not find even a single bottle in the whole ground. We are coming around and around and not a single bottle in any corner of the G Corner ground in Trichy,

we are much disappointed, sir!". Police seem were stunned and pleasantly surprised. This is what Modi magic does in this nation. Modi is the one who can lead our nation and make everyone prosper with hardwork in right direction and proper approach.

This funny but interesting anecdote was published by a statewide local daily Dinamalar. I have just translated and posting it here for rest of the nation;

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 man who invented autocorrect should burn in hello.

It was meant to put a smile on your face. Please stop sending me instructions on how to turn my autocorrect off. 😳🤔

Texted my friends to ask if I could take their kids with me to Satan... still have not heard back from them. I meant Santa...

Thanks for all the love, I appreciate a follow. 💗

ULTIMATE GUIDE TO 21 and 200 Moving Average
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1/n

Moving averages
EMA and SMA
1. Exponential Moving Average (EMA) is similar to Simple Moving Average (SMA), measuring trend direction over a period of time.
2. However, whereas SMA simply calculates an average of price data, EMA applies more weight to data that is more current
2/

21 EMA : SHORT TERM TREND
1. Calculates the Average Price of past 21 days
2. A stock above 21 ema is in strong momentum , which will give pullbacks to 21 ema again and again.
3. Stock above 21 ema should never be shorted so as to stay with the trend
3/n

3. A stock which moves 10-15% above 21 ema will be too extended and hence will generally pullback
Stocks take dynamic support on 21 ema
4. You can Short only if its too extended like 15 to 20% from 21 ema ( Not advised )
#ADANIPOWER:
#pnbhousing
4/n

1. Whenever 21 ema is sloping upwards its called uptrend
2. Whenever 21 ema is sloping downwards its called dowtrend
3. Whenever 21 ema is sideways its called consolidation
⏫Buy in uptrend
⏬Sell in downtrend
Examples:
5/n