1/ This month we'll learn whether the US is a banana republic ruled by election fraud or a constitutional republic based on attempted election integrity.

#GodSaveTheRepublic #AdjudicateFraud #FraudMatters #EvidenceMatters #MassiveFraudEvidence

JWALAMUKHI TRIPURASUNDARI, UTHANAHALLI, MYSURU (KAR)
#bharatmandir

Jwalamukhi Tripursundari is believed to be the sister of Devi Chamundeshwari, the presiding deity of Mysuru
It is also that she represents the flaming mouth of Jalandhara, the demon whom Shiva crushed to death.

When Devi Chamundeswari was fighting Mahishasura, she observed that from every drop of blood that spilled out of Mahishasura, another demon was born. So she created Tripurasundari to ensure that no blood dripped from Mahishasura.

Tripura Sundari means beauty of the three worlds.
The murti was installed during Wodeyar rule. An utsava murti made of pancha loha is kept in the sanctum sanctorum.
Another shrine here is dedicated to Siddeshwara / Shiva surrounded by a beautiful wooden Mantapa.
@GunduHuDuGa

A chartbook collection of 50 Examples from @Qullamaggie Sir's Swing Trading School.

https://t.co/kylxkesTmA

The entry points are marked with a orange arrow, 10,20 and 50 Daily Moving average are used and the commentary by @Qullamaggie sir is written on the chart itself.

The setups are breakout setups, where the stock makes a big move,
surfs (takes support) either on the 10,20 or the 50 MA,
Makes Higher Low's,
Forms a Tight Range with Narrow candles,
then
BREAKOUT's!!

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.

A Thread on the Boss himself @Mitesh_Engr

Mitesh Sir's Positional Option Selling 101:

• How to find direction
• Which options to sell
• How to deploy capital
• Exit criteria
• What ROI he targets weekly
• What % risk he takes

Done with the help of @niki_poojary

How @Mitesh_Engr Sir finds the direction?

• Daily charts S/R
• 75 min charts S/R
• Intraday trend
• Always play directional
• Never trades in strategies

Which options to sell in weekly expiry according to @Mitesh_Engr?

• Weekly candle High/Low
• Sell 1% away options from those
• Exit when levels breached

Position Sizing by @Mitesh_Engr Sir.

How to deploy your capital?

• First sell 20%
• Pyramid the next day
• When to exit
• What to do when view goes wrong
• What to do with idle capital

Some important tweets of @Mitesh_Engr Sir

• What Data to look at
• ROI for safe players per month
• Max risk per day
• Gather knowledge and play directional
• Never play strategies