Cash Breakout Stocks-
1. Galaxysurf
2. Asiantiles
3. Kabraextru
4. Tdpowersys

More from Mr. Chartist
Fresh Chart
NSE:BAJFINANCE 7745
1. Breakout in Pole and Flag pattern at ATH
2. Volume and Price Confirming the Breakout
3. Support near 7400-7300 level
4. Next levels to watch 8200-8400
#TechnicalAnalysis #StocktoWatch @nakulvibhor https://t.co/MSBIQPAEL4
NSE:BAJFINANCE 7745
1. Breakout in Pole and Flag pattern at ATH
2. Volume and Price Confirming the Breakout
3. Support near 7400-7300 level
4. Next levels to watch 8200-8400
#TechnicalAnalysis #StocktoWatch @nakulvibhor https://t.co/MSBIQPAEL4

14. Bajfinance- Daily Chart pic.twitter.com/ottmZN2YGh
— Mr. Chartist (@Mr_Chartist) December 24, 2020
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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.
