#ICICIBANK
Bullish pennant in the making

More from Nikita Poojary

In the month of November 2022, we have shared 9 threads, which includes:

β€’ How to save taxes from trading income
- Individuals
- Corporate way
β€’ Powerful Intraday set-up with screeners
β€’ 12 rules for professional position players

and much more 🧡

1/ How to initiate a short straddle how to manage them with


2/ Things I know now, (after three years) post becoming a full - time


3/ How to reduce taxes by optiong for a Corporate


4/ Ten powerful intraday setups with

More from Icicibank

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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.