$ICICIBANK.NSE / $NIFTYBANK.NSE
Ratio chart, breaking out after a decade of underperformance. Bullish on $ICICIBANK.NSE !

More from Anosh Mody
Crisp and wonderfully explained. Urge EVERYONE to read this 🙏🏻
Friends,
— Pankaj DP (@voPAtrader) May 8, 2021
I am planning to write Stock mkt related thread (/writeup) on..
WHY STUFF WORK?
E.g. Why prior Support acts as Resistance?
If u have such questions related to Data/ TA, DM me. If possible, I shall incorporate reasoning for that as well.....#learning #stocks
More from Icicibank
#ICICIBANK -715
Must move above 1 618%(728)
Working towards it.
#Probability
Must move above 1 618%(728)
Working towards it.
#Probability
#ICICIBANK-549
— MaRkET WaVES (DINESH PATEL ) Stock Market FARMER (@idineshptl) January 6, 2021
Above ATH upside 629-727.
Short term risk 518.
Near term risk 488.
Long term accumulate on decline.
Further upside in long term perspective. pic.twitter.com/24KVRZgbm2
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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.
==========================
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.
