More from Nishant Kumar
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Price playing within the resistance zone. Let it be. This is a healthy sign and it would be good if the stock continues to consolidate in this zone for a few days/weeks. This would help RSI cool down, and also lead to change of hands!
#MaithanAlloys 1022
#MaithanAlloys 1022
#MaithanAlloys 940
— Nishant Kumar (@nishkumar1977) June 18, 2021
970 - 1030 is going to offer stiff resistance.
We are approaching 4 digit mark and ATH territory!! Fingers crossed!!https://t.co/bMgkKffyXc https://t.co/8DSt1yHPN8
Maithan Alloys - Trend change above 700 done
Retest of support at 700-710 is a great opportunity cmp 761+
Potential target 1000-1300-1500 in next 1-1.5 year
It has Pole & Flag pattern on multiyear log scale which gives a taget of 2000+ and more over next 3-4 years https://t.co/aCDDcGVqOc
Retest of support at 700-710 is a great opportunity cmp 761+
Potential target 1000-1300-1500 in next 1-1.5 year
It has Pole & Flag pattern on multiyear log scale which gives a taget of 2000+ and more over next 3-4 years https://t.co/aCDDcGVqOc

Yes please @shivaji_1983 sir. Share your chart view on MAITHAN ALLOYS
— Anushka (@AnushkaDas28) June 1, 2021
#Maithanalloys #dailychart https://t.co/9TEjF684f3

#Maithanalloys #Publicdemand\U0001f600
— Pranay Prasun (@PranayPrasun) July 4, 2021
Highlighted at 560\U0001f525 level and i'm going to cover all major timeframes \U0001f447
~ What next ?
~ When to add ?
~ Immediate target
~ stop loss https://t.co/v1qWY5TrYQ
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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.
