#Nifty outlook!

1. Price/Time Symmetry.
2. Probable Double Top Inplay.

Dhanwanthari Temple, Nelluvai
Thrissur District, Kerala.🚩🚩

ॐ नमो भगवते वासुदेवाय धन्वन्तरये अमृतकलश हस्ताय
सर्वामय विनाशनाय त्रैलोक्यनाथाय श्री महाविष्णवे नमः
#temples

Dhanwanthary Moorthy temple in Nelluvai is one among the ancient temples in Kerala.

Dhanwanthari is the Deva of Ayurveda. It is said that the murthy at the temple was installed by Ashwani Devas and it was the same idol worshipped by Sri. Vasudevar in the Dwapara Yuga. The Dhanvanthari Moorthi is facing towards the west
@SriramKannan77

Smrata-Matrarti-Nasanah', Srimad Bhagavatam states that the one who remembers the name of Dhanwantari will be cured and protected from all the diseases. Temple is known for its Oushada Prasada with Ayuvedic medicinal values, called Mukkudi.

Mukkudi Nivedyam is a very special offering to Dhanwantari. It is prepared by using dry ginger, pepper, pomegranate peel, cumin seed, turmeric, rock salt and other medicinal items. It is offered during 'Usha- Pooja', and is later on distributed to the devotees present there.

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.

My System for momentum trading🧵:

1. Stock Identification:

Daily and Weekly Delivery Analysis using @mystockedge
Theme Confirmation using Internet and Network

2. Stock Confirmation:

Relative Strength of a stock visavis market using RS55 model listed in @mystockedge

1/n

3. Stock Participation:

Only when chart showing short term breakout along with RS55>0 and RSI>50. I am ready to leave some initial movements.

4. Position buildup:

Every time the stock gives a breakout from the previous swing high add more position and go all-in.

2/n

5. Stock Exit:

I run two portfolios: Short term Swing and Long term Swing.

For Exit in Short term swings, I use a 2hourly Chart with super trend and RS. I am using @tradingview for the same.

For long term swing, I exit when the RS of the stock goes below 0. Period.

n/n

Rhino Barges

One of the dullest, coolest, more bizarre and fascinating pieces of kit used in Normandy.

Which NO ONE REALLY CARES ABOUT.

BUT I DO AND YOU SHOULD TOO.
/1

#WW2 #SWW #History

Planning for Overlord and Neptune had a serious snag, how to get troops from LSTs onto the beach as simply ramming them onto the beaches and dropping the ramp was known to damage the exceptionally vulnerable LSTs and felt to be unsustainable in the mid to long term. /2

LSTs were essential in sustaining Overlord's progress and were a subject of major headaches in the planning phase, and a real subject of friction when it came to launching additional amphibious operations such as Dragoon.

A single LSTs loss represented a capability nick. /3

So, logic dictated, we don't really want these remarkable but rare and highly valuable vessels constantly doing beach landings, we want something to act as a medium between ship to shore, and in came the (mostly) American designed Rhino. /4

I fucking love Rhinos.

Seriously.

Graceful lines of pure industrial pedigree.

Modular.

LOOK AT IT. /5

कुंडली में 12 भाव होते हैं। कैसे ज्योतिष द्वारा रोग के आंकलन करते समय कुंडली के विभिन्न भावों से गणना करते हैं आज इस पर चर्चा करेंगे।
कुण्डली को कालपुरुष की संज्ञा देकर इसमें शरीर के अंगों को स्थापित कर उनसे रोग, रोगेश, रोग को बढ़ाने घटाने वाले ग्रह

रोग की स्थिति में उत्प्रेरक का कार्य करने वाले ग्रह, आयुर्वेदिक/ऐलोपैथी/होमियोपैथी में से कौन कारगर होगा इसका आँकलन, रक्त विकार, रक्त और आपरेशन की स्थिति, कौन सा आंतरिक या बाहरी अंग प्रभावित होगा इत्यादि गणना करने में कुंडली का प्रयोग किया जाता है।

मेडिकल ज्योतिष में आज के समय में Dr. K. S. Charak का नाम निर्विवाद रूप से प्रथम स्थान रखता है। उनकी लिखी कई पुस्तकें आज इस क्षेत्र में नए ज्योतिषों का मार्गदर्शन कर रही हैं।
प्रथम भाव -
इस भाव से हम व्यक्ति की रोगप्रतिरोधक क्षमता, सिर, मष्तिस्क का विचार करते हैं।

द्वितीय भाव-
दाहिना नेत्र, मुख, वाणी, नाक, गर्दन व गले के ऊपरी भाग का विचार होता है।
तृतीय भाव-
अस्थि, गला,कान, हाथ, कंधे व छाती के आंतरिक अंगों का शुरुआती भाग इत्यादि।

चतुर्थ भाव- छाती व इसके आंतरिक अंग, जातक की मानसिक स्थिति/प्रकृति, स्तन आदि की गणना की जाती है

पंचम भाव-
जातक की बुद्धि व उसकी तीव्रता,पीठ, पसलियां,पेट, हृदय की स्थिति आंकलन में प्रयोग होता है।

षष्ठ भाव-
रोग भाव कहा जाता है। कुंडली मे इसके तत्कालिक भाव स्वामी, कालपुरुष कुंडली के स्वामी, दृष्टि संबंध, रोगेश की स्थिति, रोगेश के नक्षत्र औऱ रोगेश व भाव की डिग्री इत्यादि।