🔟Investing concepts that blew my mind🤯when I read them, and greatly helped my investing journey.

Would love to know about some of yours.

@saxena_puru @BrianFeroldi @GavinSBaker @7Innovator @dhaval_kotecha @Gautam__Baid @richard_chu97 @10kdiver @FromValue @investing_city

Below thread has the references to each of these 10 concepts.

Note : Many of these are my past Tweets related to these topics. Not trying to self promote them. Adding them only because they have the original links, added context and my highlights & fav pts.

Let's dive in. ⬇️⬇️
1⃣ Benjamin Graham's Mr. Market analogy.

An extremely useful concept, especially when

Market is panicking (& throwing out good Co's at bargain prices) & when

Market is too complacent (& awarding high valuations to hype and stories)

https://t.co/XAkkh9vjcJ
2⃣ Philip Fisher's hyper-focus on growth stocks (written 60 years ago).

Very useful and mostly still applicable stuff on how to deeply analyze Growth Co's (except Stock based Compensation & Adjusted EBITDA of course😄)

https://t.co/zzVIlrHzAI
3⃣ Peter Lynch’s empowering writing on the edge of the individual investor when they invest in what they know (or can learn).

https://t.co/ynvAoRPjWf

https://t.co/eOW3XgquX9
4⃣ Warren Buffet's & Pat Dorsey's explanations of Economic Moats.

https://t.co/MMagWHbn8z
5⃣ Seth Klarman's 2007 speech to MIT grads - about Investor psychology & Housing crisis (Speech given 11 days before the Market topped in ’07).

I read this in early Sep 2008, which clearly explained what was going on even as the events were unfolding.

https://t.co/wFsahESzX5
6⃣ Clayton Christensen's writing on Disruptive Innovation (the focus of Innovators & the constraints of incumbents).

Excellent Summary ⬇️

https://t.co/5i9c4OJupT
7⃣ Brian Arthur's 1996 article "Increasing Returns and the New World of Business".

An extremely prescient writing on how things actually turned out in Tech in the next two decades.

https://t.co/RVEcJtN28P
8⃣ Bill Gurley's "Above the Crowd" posts from early 2000s on Software & Marketplaces.

https://t.co/JiKnJfgAfu

https://t.co/avMZ8BdB5e
9⃣ Adam Hartung’s writing on Trends & disruptive companies.

His writing helped me to observe and give more importance to strong/sustainable ongoing trends, and in identifying/analyzing the Winners.

https://t.co/IOE1pmkqbi
🔟 Ben Thompson's Aggregation Theory & Platform companies.

Helped me truly understand the power of Digital & how these Winners are different from past.

Defining Aggregators
https://t.co/BhHTvYHIxO

Moat Map
https://t.co/Ay8qZmfCgH

Aggregation Theory
https://t.co/iS1oLiS4Hn
Good returns are what we're after (in the end) but investing is much more fun when you learn the best concepts out there (from the great investors & business thinkers), blend them in to your own process to make it better.
Strong basics/concepts, pattern recognition and keeping your process updated is the recipe for good and sustainable results.

Anyway, this is a thread I enjoyed thinking about the putting together. Hope some people find it useful.

/END.

More from Ram Bhupatiraju

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TradingView isn't just charts

It's much more powerful than you think

9 things TradingView can do, you'll wish you knew yesterday: 🧵

Collaborated with @niki_poojary

1/ Free Multi Timeframe Analysis

Step 1. Download Vivaldi Browser

Step 2. Login to trading view

Step 3. Open bank nifty chart in 4 separate windows

Step 4. Click on the first tab and shift + click by mouse on the last tab.

Step 5. Select "Tile all 4 tabs"


What happens is you get 4 charts joint on one screen.

Refer to the attached picture.

The best part about this is this is absolutely free to do.

Also, do note:

I do not have the paid version of trading view.


2/ Free Multiple Watchlists

Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free


3/ Free Segregation into different headers/sectors

You can create multiple sections sector-wise for free.

1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.

Kinda like how I did in the picture below.

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
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