Some 100+ baggers of last 10-12 years:-

1) Bajaj Finance
2) Caplin point
3) Avanti feeds
4) Relaxo foot
5) Astral ltd
6) Ajanta Pharma
7)Symphony ltd
8) Cera sanitariwar
9) Hatsun agro
10) Alkyl amine
11) NGL fine
12) Navin floro
13) Apollo tricoat

Which will be the next set?

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.

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

Strange things are afoot at the Circle K. Let’s sort it out.

[THREAD]

1/ Two nights ago, Rupert Murdoch called on Mitch McConnell, after hours. Since then, two Fox News-related Twitter accounts have not tweeted.

2/ Trump fired Sessions on Wednesday, replacing him with human dildo/Putin collaborator Matt Whitaker. Sessions had asked to stay until Friday and was told to leave immediately. So there was clearly some urgency to install the dildo...er, puppet.

3/ The Democrats won the SHIT out of the Midterms. Come January, the House check on Trump will leave him so hobbled, he’ll be like the dude from Misery.

4/ Trump went to Paris, ostensibly for an Armistice Day centennial event. He skipped the event, and much of the dinner tonight, because of “weather,” which everyone seems to agree is a bullshit excuse.

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.