In the month of October 2022, we have shared 15 threads, which includes:

• Free Price action course worth 50k
• Best videos to learn expiry trading
• Bollinger Band set up with min 1:4 RR
• Hacks to avail tradingview premium features for free

and much more 🧵

1/: Eight websites that F&O trades just can't afford to miss:

https://t.co/k1OCO2zZAi
2/ Bollinger band set up with minimum 1:4 R/R by Subasish Pani:

https://t.co/WOsxHsQ2ZY
3/ Eight books on Option trading that every trader should read:

https://t.co/qJvNf2tMMx
4/ List of threads to make you a pro in option selling:

https://t.co/OaJy6K8y67
5/ Key insights from @bhatiamanu Sir's interview on Groww with @iarjuntandon

https://t.co/QVNfxHujRm
6/ Key insights from @Ronak_Unadkat Sir's interview on Groww with @iarjuntandon

https://t.co/bzdcncw8t5
7/ Ten Stock Market related movies:
https://t.co/XKU6zVMJYd
8/ Best Youtube vidoes to learn expiry trading:

https://t.co/nsO5PVruEc
9/ Useful hacks to get features of tradingview premium version for free:

https://t.co/kGnvlzeOv3
10/ Free resources to master option selling:

https://t.co/xecBvIKUw5
11/ Now create your own customised trading plan using these powerful guidelines:

https://t.co/a2QYqaWVS7
12/ Trading is just like any other sport, if you fall you stand back again:

https://t.co/V6LhtmbJ6R
13/ Key takeaways from 5 of the higest profit trades made by Subasish Pani:

https://t.co/zdGWJmavGl
14/ Price Action Course worth 50k for free:

https://t.co/Bt6ejYt6IP
15/ Everything that you need to know about Dow Theory:

https://t.co/DTnTXDASwm
If you have missed the September month round up, check it out here:

https://t.co/2MAU10Zmxr
Hope you liked this monthly round up of threads; if you did:

1. Follow us

@AdityaTodmal

&

@niki_poojary

For more threads on Price action, Option Selling & Trading strategies.

We've got you covered.

2. RT the first Tweet to share it.

I appreciate it!

More from Nikita Poojary

You May Also Like

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.