Near trendline resistance

Short term profit booking zone

#Happiest

ULTIMATE GUIDE TO 21 and 200 Moving Average
SUNDAY THREAD 🔖
A trend Following System That will Help You Improve Trading immensely.

RETWEET AND SHARE 🔄
@kuttrapali26 @AmitabhJha3
#stocks #StockMarket
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

Srikanteshwara Temple,
#Nanjangud  #Karnatakatemples 🚩

Srikanteshwara Temple or
Nanjundeshwara Temple is a famous Shiva Temple located in Karnataka at the bank of river  Kapila. Temple is also called Varanasi of South. Nanjunda means one who has consumed poison.

Story is  related to the Samudra Mathanam when Paramashiva had to consume halahala.

Parashurama worshipped Mahadeva here to relieve himself from the curse of Mathru Hatya. While clearing the place to do poojas Parashurama's  axe hit the Shivalingam and it began bleeding, that

mark is still visible even today. Thus
it is also believed that Parashurama did Shiva Prathishta here

Sthala Puranam says that, once there was a demon named Keshi who disturbed the people in the area, after  getting blessing from Brahma Deva  and Mahavishnu. Mahadeva appeared

here and killed demon Keshi and blessed this place as Papa Vinashini. Whoever praying to Srikanteshwara or Nanjundeshwara, after bathing in the  Kabini River will be relieved from all sins.

Nanjundeshwaraya Namah
🙏🕉🙏

A #story from #Thiruvilayadal puranam-one of divine leelas of Bhagwan Shiva

#threadseries #Madurai

Story 16- it is about how Bhagwan Shiva explained the meaning of Vedas to the Rishis.

வேதத்துக்குப் பொருள் அருளிச் செய்த படலம்

Once there was a great deluge,everything in the world was destroyed.All lifeforms that existed got perished.Afterwards ,due to Bhagwan Shiva creation started.Then from Bhagwan Shiv ji's mouth-birth of 🕉 OM- Pranavam happened.From Pranavam,4 vedas appeared. Rishis learned them.

Many Rishis in Naimisharanya learned Vedas&recited them but they didn't understand the meaning&essence of Vedas. They were worried as they couldn't find any guru who can teach them the meaning of Vedas.That time,Rishi Arabhatar visited them.Rishis told him about need their worry.

Rishi Arabhatar told them that Bhagwan Shiva has given Vedas &he would be grateful enough to teach the meaning as well.But for that rishis have to rigorous penance at a sacred place.Also told them to go to Sundareswarar temple in Madurai to do tapas in front of Dakshinamurthy.

Assured them that Dakshinamurthy himself will come & teach them.Rishis proceeded to Madurai & started their tapas in front of Dakshinamurthy sannidhi for almost a year starting from Karthigai month pournami to next year Karthigai month pournami following all rituals..annadan

Can we control the output of neural generation systems?
Can we build a better chatbot using this control?
And what makes a good conversation anyway?

Check out the blog post for our NAACL paper:

https://t.co/UAAUxSeA0L

#AI #NLProc #DeepLearning #ConversationalAI @facebookai

This post got a little delayed since the paper's publication, but the intervening time has given me an opportunity to reflect.

So this post has some extra thoughts regarding more recent NLG developments - e.g., pretrained models like GPT(2), and the suitability of beam search.