Never trade with loan amount.
My trading is very simple. Selling option based on support and resistance. Time frame: Daily and 75 min.
Keep distance of 1-2% from S & R so one has chance to exit or adjust if trade goes against.
And last one my tgt is 4% pm. Above it bonus.

More from Mitesh Patel

Once again a thread on breakout trades.
Future trading I am recommending to only those who have at least 25L capital to control risk management.
If less capital then do with cash or option writing.

More from Mplearnings

Read it and practice.
How I am playing expiry trades.

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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.