#ICICIBANK

Though the first pattern has been active for quite some time, it's hovering over the support zone: 659.45 which is making the completion of the pattern difficult.

In case the latter pattern also gets active with a decisive breakdown of 659.45, Can eye on 568-555.

Boss is always Boss @Mitesh_Engr

Mitesh Sir's FUTURES BREAKOUT TRADES 101:

• How to pick stocks at right time?
• What to look for?
• Importance of BO post consolidation
• How to manage SL
• How to get huge profits
• Multiple Examples

In collaboration with @niki_poojary

Importance of Trading only BO or BD stocks by @Mitesh_Engr Sir: 👇

•Two questions to always ask:

~Why stock is going up/down and when?
~ Who is behind big up/down and when?

• Trade only stocks with Momentum
• Instant results
• Small SL or huge profits

Sir's take on how to Trade: 👇

• Observe fight between buyer & seller
• Position will be created within first 3 hours
• Operators will win
• Just find BO or BD
• Look for huge volume support
• Give company to operators
• ATP importance explained

How to take trade in Breakout/Breakdown stocks by @Mitesh_Engr Sir: 👇

• Check Support & Resistance
• Wait for 2-3 months consolidation
• Surge in volumes
• Trade on 3 min charts
• Small SL
• Keep trailing
• Always pyramid in profit

When and Why to Pyramid? By @Mitesh_Engr Sir

• Adding to winning positions
• Signals of continued strength
• Potentially large profits
• An Example of pyramiding in one of his trades

A thing which I unironically and enthusiastically believe which is unpopular among smart people of my acquaintance: financial engineering has in the recent past and present contributed substantially to human welfare. We should hope to see more of it.

Maybe more geeks need to meet someone who says “My job is teleporting value across time and space.”

Financial engineering is sort of a squishy term. I don’t primarily mean payments infrastructure or financial rails, although both of those involve substantial engineering.

I mean more “We took a thing and performed some alchemy, and now have a new thing.”

Except instead of alchemy it is generally quite a bit of math, a huge amount of contract law and due diligence, often an impressive amount of ops work, and a dusting of technology that web devs would recognize as such.

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.

👇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.

THE LAST STAND OF PAVAN KHIND - THE 300 BATTLE OF INDIA

A long🧵that u must read

In desperate times, great men come forth. Those men who are ready to sacrifice all of their lives work for a single cause.

Baji Prabhu Deshpande is one such man.

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Battle was between the Maratha Warrior Baji Prabhu Deshpande and Sidi Masoud of Adil Shahi Sultanate.

In 1660, the Maratha King Shri Chhatrapati Shivaji was trapped in the fort of Panhala, under siege and vastly outnumbered by an Adilshahis army led by Sidi Masoud.

2/25

And while everyone is thinking that finally the Maratha king will be subdued, Shivaji planned to escape to the fort of Vishalgadh. It was administered by a Maratha chieftain named Range Narayan Orpe under Shivaji.

3/25

For months the siege warfare continued as Shivaji made sure that the food source of the Besieging army drops down, due to which they will initiate a general assault on the castle.

4/25

Shivaji, Baji Prabhu, and around 600 of their best troops, hardened mountaineers of the Maval region, would dash through the Adilshahis force at night.

A man named Shiva Kashid, who resembled Shivaji in appearance, had volunteered to dress like the king and get captured.

5/25