When SBI starts outshining #banknifty, pay attention. Ratio of SBI vs BankNifty shows a multi-month base break, further outperformance is expected from #SBIN #nifty50 Ratio is sustaining abve 2-yr mean since Feb 2021. Such strength has not been at display since 2015

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.

KANIPAKAM VINAYAKA, CHITOOR (AP)
#bharatmandir

Kani means wetland and Pakam means flow of water into wetland.
Kanipakam Vinayaka is swayambhu (self-manifested). The murti is in a well which is always full of water.

Once, there were three brothers. Each one had a handicap- Dumb, Deaf and Blind. They had a small piece of land for livelihood. For their field, they drew water from a well. One day, they found that the well had dried up so one of them started digging in the well.

His tool hit something and blood oozed out. They found a swayambhu murti of Ganesha here.
Villagers started offering coconut water which overflew into a channel. Hence the name Kanipakam.

The murti is still growing in size. At present, we see the knees and the abdomen only. The Kavacham (Armour) offered to Vinayaka 50 years ago doesn’t fit today.
Vinayaka is believed to be the upholder of truth. So people come here and swear before him to prove their innocence.

Here is the detailed information of about strategy,

Entry time : 9.30 - 10
Exit : Upto you

Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle

Buy monthly ATM or near ATM CE & PE at matching price (5-10 points diff should be fine) as hedge
For ex : Buy Nifty 17250 CE at 150 and Nifty 17300 PE at 155 so it will become long straddle.

Weekly Short straddle + Monthly Long straddle

Adjustment:

• If you feel slightly bullish/bearish then no adjustment needed
• If Nifty moves 50 up or down and sustain then just simply roll up or down half of qnty and keep rest of the quantity. If market goes up or down further then roll up or down rest.

• If Nifty moves one side or about to breach BEP then add equal amount of lot. This can balance tested side. For ex: If I bought 17300 CE 4 lot as hedge then add 4 lot so you will have only one side risk . Note: Remember to keep SL at cost price (only for additional lot bought)

Capital requirement:
2.2 L for 4 lot
Adjustment requires additional capital upto 1L

Note : High risk high reward strategy, please don’t execute until you fully understand. Kindly do paper trading or backtest.
RR : 1:1
POP : 45-55%

Observing the public conversation around FB, and the private ones happening among techies and ex-FBers, I think the mutual misunderstanding is worse than when I set out two years (and 500 pages) ago to (in a small way) bridge that gulf.

We're basically fucked.

The tech world has gotten so huge, self-reinforcing, and insulated from reality they can no longer even vaguely look at themselves (and their actions) as others do. They just live on a different planet than most people.

Conversely, the average tech consumer doesn't understand the technology that has slowly taken over their lives, and their designated emissaries to figure it out--politicians, pundits, regulators, journalists--understand it barely better than they do, and have their own agendas.

To say more than generalities for a moment, here's what I think is likely the core problem.

Techies take weird, improbable visions, and make them realities: some BS pitch deck to a VC, mixed with money and people, really does turn into some novel thing.

Most people work inside a legacy industry that's evolved that way over time (usually for good reasons), and they think about the future via some analogy with their present (which is a function of a long-ago past). The interruption that tech will introduce is often hard to grasp.