#tatasteel has been 1 of the most bullish steel stocks
RSI & MACD shows strong upwards momentum
Stock undergoing flag pattern consolidation after swift upmove
If the stock is able to sustain above 1480, it may rally towards 1700-1720 region
#Nifty
Not trading call, academic post

More from Techno Prince
More from Tatasteel
#tatasteel - I expected 3rd to be over at 1246 and fall below 900 in 4th. But retracement was not enough. And hence the 3rd continued till 1481. May be inch a little higher but fair to call end of 3rd round about here.. 4th should take it to 1000 https://t.co/NWDc24fjJn

#Tatasteel - 2 possible count options -
— Harsh Mehta (@_Harsh_Mehta_) June 8, 2021
Bearish - 5 waves complete (RED) and bigger retracement towards 700
Bullish - 3rd over (BLUE) and 4th goes towards 900 and then 1500+#Nifty https://t.co/ETBkbUkCO8 pic.twitter.com/an2EoHHxnU
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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.
