Here’s how to use Tradingview to quickly compare multiple symbols from a particular sector among themselves, & with the index👇

I’ve made a Tradingview watchlist of some sectors which do not find a place in any particular sectoral index. This list currently has 138 NSE stocks plus NIFTY. You can add more.
(List is a work-in-progress, & by no means complete.)
You can select the index & names from a particular sector, & compare their price movements. One can visually eyeball outperforming names in that sector.

e.g. Ship-building MAZDOCK has given a 232% return in past 1 year, as against 7% for NIFTY:
Here is the watchlist. Save it to your Tradingview & enjoy! 🙂

https://t.co/CH3cbdiMcw

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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.
My top 10 tweets of the year

A thread 👇

https://t.co/xj4js6shhy


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