Niti Ayog is one of the best places to look at, if you want to learn more about the upcoming reforms, outlook on India for next decade and some of the most pressing economical issues of our generation.
Here is a recent one on EV charging infra.
https://t.co/BGoCTVnlRS

More from Tar ⚡
China Index has corrected ~40% since its peak
Lot of regulatory crackdown in China. Top rated companies are available for huge discounts. $BABA for example now has a market cap of less than 600 Billion and is bigger than Amazon in every regard.
I have been aggressively investing more in Chinese equities than Indian ones.
https://t.co/W1RWdKU3sy

Lot of regulatory crackdown in China. Top rated companies are available for huge discounts. $BABA for example now has a market cap of less than 600 Billion and is bigger than Amazon in every regard.
I have been aggressively investing more in Chinese equities than Indian ones.
https://t.co/W1RWdKU3sy
More from Screeners
Opposite is happening now. IHNS, double bottom, +ve RSI divergences, etc are failing badly for permanent reversal. Level up your SAR game to stay in the game on both sides.
#bearrun
#BearMarket
#bearrun
#BearMarket
Head & Shoulders pattern, double top and bearish RSI divergences fail more often in bull market and generally gives a very good SAR trade. Vice versa is also true for bear market.#bullrun #BullMarket
— Aakash Gangwar (@akashgngwr823) February 9, 2021
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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.
