#HAPPSTMNDS
Happiest Minds Technologies Ltd interesting chart setup, we have fresh Bullish ABC B/O after good consolidation. @flyingvikas129
2nd is Ratio chart

More from Happymind
The reason why I preferred #happiestminds to include in long term portfolio
Since then MCAP has moved from 7.5k Cr to 10.5k Cr which is more than 40% returns..
I feel it's a start for a long journey for this one.. do read the thread and study 👇
Since then MCAP has moved from 7.5k Cr to 10.5k Cr which is more than 40% returns..
I feel it's a start for a long journey for this one.. do read the thread and study 👇
Thread 4/6
— TheMillionaire \U0001f1ee\U0001f1f3 (@BornToBeSucceed) April 2, 2021
Financial Data since March 2019\U0001f447
Revenue jumped 590 Cr to 739 Cr
(CAGR of 13.7%)
Interesting facts: Profit jumped from 14 Cr to 132 Cr and that's Incredible ( CAGR of 260%) \U0001f680\U0001f680 pic.twitter.com/hj02EMzOHq
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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.
