#AVADHSUGAR has a fantastic chart in weekly timeframe
548 was June 2021 High, the stock pulled back to that level & defended
550 is 200 Day SMA
If it sustains above 550 it may move towards 800-900
Weekly RSI near 50
#stock #stocks #sugar
Not trading call, academic post

More from Techno Prince
Just after #USA CPI data came higher than expected , #DollarIndex broke out , Sustaining above 103, it can rise towards 104.7 based on rounding bottom breakout
Bad for equities
#DowJones #Nifty #NASDAQ https://t.co/llt2Mxzg3z
Bad for equities
#DowJones #Nifty #NASDAQ https://t.co/llt2Mxzg3z

#USA May inflation data came 8.6% yoy vs consensus expectations of 8.3% yoy , Core inflation at 6.0% yoy, vs consensus expectations of 5.9% yoy
— Techno Prince (@Trader_souradep) June 10, 2022
Quite a headache for #Fed
Positive for #Dollar #USD
Negative in general for equities #DowJones #Nasdaq #ES_F #Nifty #BankNifty pic.twitter.com/QnpqY9R8OO
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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.
