Keep it Simple Stupid!
#cdsl has been a great compounder with a simple RS strategy.
1000 was clearly evident as discussed 2 months ago in #StockEdgeClub

More from Learner Vivek Bajaj
More from Cdsl
CDSL
CMP:971.90
Lowest volume and a very tight day today.
Previously such consolidation was followed by a strong move of minimum 10% and continued to rally further.
Can be a sweet spot to enter today.
Investment wise solid stock for longterm
@Atulsingh_asan @nishkumar1977 https://t.co/auSRNis5yv
CMP:971.90
Lowest volume and a very tight day today.
Previously such consolidation was followed by a strong move of minimum 10% and continued to rally further.
Can be a sweet spot to enter today.
Investment wise solid stock for longterm
@Atulsingh_asan @nishkumar1977 https://t.co/auSRNis5yv

IEX
— TECHVESTOR (@AshrafZaman3) June 25, 2021
CMP: 377
Vert tight consolidation with lowest volumes since last 4 months. Explosive move expected next week.
Can be bought above 380.60 pic.twitter.com/lrnfLvBged
#cdsl now trading at 817 from 789..
More fireworks yet to come above 827 BO
This is power of AOV analysis feature.
More fireworks yet to come above 827 BO
This is power of AOV analysis feature.
#Areaofvalue analysis#CDSL
— SSStockAlerts (@ssstockalerts) May 6, 2021
Buy near 21 SMA support. This stock respects 21 SMA for 84% time. Backtested for last 1 year.
Candle size is getting smaller and volume also less then avg volume.
Any time it can reverse from here.
Help/Supporthttps://t.co/rRCfjf3KIi pic.twitter.com/KGyyAAQ1tV
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A thread 🧵
1) Learn Anything - Search tools for knowledge discovery that helps you understand any topic through the most efficient
2) Grad Speeches - Discover the best commencement speeches.
This website is made by me
3) What does the Internet Think - Find out what the internet thinks about anything
4) https://t.co/vuhT6jVItx - Send notes that will self-destruct after being read.
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.
