Nazara - why you shouldn't sell your winners https://t.co/Gvd1jBaoks

Nazara - Route for 2370 & 2580 will open up if the BO is successful https://t.co/wIcXTXTqCv
— The_Chartist \U0001f4c8 (@nison_steve) September 14, 2021
More from The_Chartist 📈
IEX Indian Energy Exchange - ⭕️⭕️
although a must-have portfolio stock. Faced resistance right at the upper channel boundary. Volumes high. Any retracement back to the lower boundary will be an opportunity to accumulate. https://t.co/5uDsUXsbPP
although a must-have portfolio stock. Faced resistance right at the upper channel boundary. Volumes high. Any retracement back to the lower boundary will be an opportunity to accumulate. https://t.co/5uDsUXsbPP

IEX - the resistance turning support. Kindly review, please. @nishkumar1977 @suru27 @rohanshah619 @indian_stockss @sanstocktrader @BissaGauravB @RajarshitaS @PAVLeader @Rishikesh_ADX @VijayThk @Investor_Mohit @TrendTrader85 pic.twitter.com/7CCzmee5If
— Steve Nison (@nison_steve) December 18, 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.
