#AYA

1. Precious Beloved Ones!

Since My Creation In ELOHIM, I View Life From A Tender, Compassionate Way. Although I Am Also A Light Warrior, My Essence As A Goddess Is Pure Love. I Learned Millions Of Years Ago That Love Was My Only Power.

👇Thread.

Published a new essay: The red flags and magic numbers that investors look for in your startup’s metrics – 80 slide deck included!

This was a deck that I created on my (longish) interview process with @a16z. It was a long path, starting with meeting folks at the firm 10 years ago. But the purpose of the deck was to explain how I would use my superpower in an investing context

Here's what I explain in the deck. As investors (whether angel or VC) we're often confronted with an up-and-to-the-right graph. Is it going to go up? Or down?

One solution to forecast these growth curves is the Growth Accounting Framework, where you add up New+Reactivated and subtract churned users. In each time period that gives you the difference in monthly actives.

The problem with this is that it's a lagging metric, not a leading one. We need to go one level deeper and look at the underlying loops that drive these numbers, to understand the quality.

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

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:
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FEW USEFUL CHARTINK SCANNERS :

This Scanner will be More than Enough for any Swing / Positional Trader to find Good Stocks.

Few Important Chart ink Scanners which can help you to find Setups and boost up your Trading Account : 🧵

Do Retweet If you If it Useful

1. Momentum Stocks

This Scanner can be helpful for Short term Swing Trades . you can easily find Stocks which are in Momentum.

Stocks which are up by 20 % in 5 Days
Stocks which are up by 30 % in 30 Days
Stocks which are up by 30 % in 30 Days

2. Volume Spike

We always Look for Price and Volume Confirmation for Breakout Trading. This scanner will help you to find the Stocks Which has given a move with Good Volume . You can keep this Stock in Radar and catch the Next move in them :

3 . Reversal Scan

Stocks which are Down by 20 % + in 5 days

When Market Corrects for sometime , You can find Stocks where selling is Exhausted and they can make a Good Reversal move .

4. Reversal Scan - Stock Down continues 5 days .

If you Know the Concept of 3-5 Days move . you might catch few stocks from this scanner. Always try and Pick stocks which are in strong momentum , you have more Chances of Getting Right in Reversal Trade.

PETER PADUKAM - THE LEGEND OF MADURAI MEENAKSHI TEMPLE AND A BRITISH COLLECTOR.

A British Collector named Rous Peter was appointed as Collector of Madurai from 1812 to 1828.

Though a Christian by faith, he respected all faiths including Hinduism and also honored local practice

Collector Peter was the temple administrator of the Meenakshi Amman Temple and conducted all his duties with sincerity and honesty and respected the religious sentiments of all people.

Collector Rous Peter respected and treated people of all faiths equally and this noble trait

earned him the popular nickname ‘Peter Pandian'

Goddess Meenakshi Amman Temple was situated between Collector Peter's residence and office.

Everyday he used to go to the office by his horse and while crossing the temple, he got down from his horse, removed the hat and his shoes

and crossed the whole path on his foot.

Through this small gesture he expressed his reverence to the Goddess!

One day there was a heavy downpour in Madurai city and River Vaigai was in spate.

Collector was sleeping in his residence and was suddenly disturbed and woken up by

the sound of anklets and he left his bed to find out from where the sound had came.

He saw a small girl wearing pattuvastrams (silk garments) and precious ornaments and addressing him as 'Peter come this way'.