In hindsight this is how a gruesome business would look like ::
Pricing power
Sticky and mandatory consumption
30-35% ROCE once optimal capacity utilisation is reached and asset has depreciated
170x stock returns excluding dividends over 25 years
D: I’ve been averaging up
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#SeQuent_2 was my 3rd and final warning ⚠️
Long story short :: If you follow someone - make sure you do actually 'follow' ...
When the focus is on capability, terminal value and ESOPs - reported earnings recovery would have to wait. No science. No commerce. Pure basics 😏
Long story short :: If you follow someone - make sure you do actually 'follow' ...
When the focus is on capability, terminal value and ESOPs - reported earnings recovery would have to wait. No science. No commerce. Pure basics 😏
Stock traded at 336.50 on 29 June. #Oversmart money was looking at limit-up closing followed by a next day gap up opening to make an annualized CAGR of 5000%
— Conviction | Patience (@unseenvalue) June 30, 2021
Animal spirits! - Lag Gaye \U0001f606 https://t.co/Cew044YHmK
1. Listen to various competitors
2. Put your neck on the line (invest your hard earned capital - experience comes by paying tuition fee)
3. Read non-investing books as well (Psychology, history, biographies or whatever non-fiction you like)
4. Read this :
https://t.co/6z3HvtKakL
2. Put your neck on the line (invest your hard earned capital - experience comes by paying tuition fee)
3. Read non-investing books as well (Psychology, history, biographies or whatever non-fiction you like)
4. Read this :
https://t.co/6z3HvtKakL
How to augment your Sector knowledge? Follow these 5 points \U0001f447
— Conviction | Patience (@unseenvalue) May 18, 2019
1. The Five Rules For Successful Stock Investing by Pat Dorsey
2. Con Calls - as many as you can in that sector
3. Annual Reports - as many as you can in that sector
4. Interact with trade/channel partners
5. AGMs pic.twitter.com/2ZOx3nkC4i
When we put a high multiple to sales, the most important thing to worry about is - what could disrupt those cash flows. A lower multiple to sales (like a 1x or 2x) justifies Yo-Yo cyclicality and 10x sales implies relatively stable gross margins, cash flow and business economics.
It's amazing \U0001f60a 25% NP
— Avinash (@Aviral_Bharat) February 17, 2022
$8b revenue
$2b Profit
$92b MCap
At 11 times revenue, it seems to be cheap compared to\U0001f609
More from Uvlearnings
There's more to disclose!
Waiting for business to perform before i share more as too much talking is deemed 'pump and dump' by the elite Twitter activists (who have to pay their advisory staff's salary and bills - so free knowledge sharing hurts their interests)
#Biotechnology
Waiting for business to perform before i share more as too much talking is deemed 'pump and dump' by the elite Twitter activists (who have to pay their advisory staff's salary and bills - so free knowledge sharing hurts their interests)
#Biotechnology
@unseenvalue mentioned this in his seminar https://t.co/kGS9jHuBYx
— Sishya of Highly Respected Sunaka (@JpackJack) June 19, 2021
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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.
==========================
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.
