#Watchlist
Upside Candidates
• #HAL 1620
• #SBILIFE 1160
• #MINDACORP 227
• #MANGCHEFER 109
@kuttrapali26 @caniravkaria @KommawarSwapnil @chartworldat
@jbotlagunta @nakulvibhor @FlamingoTrader_ @Jitendra_stock @MarketViewByPB @chartmojo
#stocktowatch
#stockmarkets

More from Hal
HAL:
T1 done. Smooth sailing https://t.co/txbiEouQrg
T1 done. Smooth sailing https://t.co/txbiEouQrg

HAL:
— Vipul Kankaria (@cobbervipul) March 31, 2022
Looking good on charts. Defence push will continue to grow.
Looks undervalued as compared to peers.
Major wave 3 ongoing. Closing above 1570 will give further momentum
CMP: 1485
SL: 1348
TGTS: 1647 / 1790
Add in Parts and Dips pic.twitter.com/ygxXlx55B9
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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.
