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 π§΅
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
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 π§΅
1/ How to initiate a short straddle how to manage them with
Short Straddle is the highest payoff strategy in Option Selling.
— Aditya Todmal (@AdityaTodmal) November 5, 2022
However, it comes with huge risks as well.
You become good at managing Straddles with adjustments.
Here's a step-by-step breakdown on them:
Collaborated with @niki_poojary
\U0001f9f5
2/ Things I know now, (after three years) post becoming a full - time
Things I know now that I wish I knew three years ago when I started trading.
— Nikita Poojary (@niki_poojary) November 5, 2022
Collaborated with @AdityaTodmal
\U0001f9f5
3/ How to reduce taxes by optiong for a Corporate
How to use a corporate account to lower taxes drastically
— Aditya Todmal (@AdityaTodmal) November 6, 2022
A comprehensive \U0001f9f5 :
Collaborated with @niki_poojary
4/ Ten powerful intraday setups with
10 most Powerful Intraday Setups with Screeners: \U0001f9f5
— Nikita Poojary (@niki_poojary) November 8, 2022
Collaborated with @AdityaTodmal
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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 youβre 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 youβre 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.