if #deepaknitrite #Deepakntr sustains above 2200, it can move towards 2550 as shown

Near 2145 we can see flag breakout with strong RSI & MACD

#Nifty #stocks
Not trading call, academic post

More from Techno Prince

Just after #USA CPI data came higher than expected , #DollarIndex broke out , Sustaining above 103, it can rise towards 104.7 based on rounding bottom breakout
Bad for equities
#DowJones #Nifty #NASDAQ https://t.co/llt2Mxzg3z

More from Deepaknitrate

#DEEPAKNITRITE Update
2279 📍

On weekly log scale; The trend remains intact towards the upside. Next up would be 2340.

#StockMarket https://t.co/cUERcUA6BU

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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.