Looks excellent. Reversal from primary trendline as well
#FnOstock #SBIN has completed a 9 month time correction towards the primary trend line & is all set to head higher from here.
— Trendline Investor (@dmdsplyinvestor) July 11, 2022
This could also be a #SIP stock considering it broke out from a decade long consolidation in Feb'21.
Might continue to outperform #Nifty & #Banknifty pic.twitter.com/mYk4exvOn7
More from Trendline Investor
More from Sbin
A thread on OI and Options charts for SBI - why it stopped rising at 420 and how one could have identified that.
Why I am talking abt SBI so much?
After the results, almost every brokerage came out with upgrades giving trgts of 500-600-700 on SBI, and it is easy for retail to buy CEs immdly; It might rise later, but the pause in the last 2 days ensured that the CEs fall sharply
For those who missed ithttps://t.co/gb1PpJKQdY
— AP (@ap_pune) May 25, 2021
Why I am talking abt SBI so much?
After the results, almost every brokerage came out with upgrades giving trgts of 500-600-700 on SBI, and it is easy for retail to buy CEs immdly; It might rise later, but the pause in the last 2 days ensured that the CEs fall sharply
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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.
