Target open for Asian Paints is 2700 https://t.co/FXKaJEeOoT
![](https://pbs.twimg.com/media/FTl08F6UcAAllX9.png)
Turn by turn the leaders crack.
— The_Chartist \U0001f4c8 (@charts_zone) May 25, 2022
Asian Paints https://t.co/2e5pm2DTdg pic.twitter.com/esIhvhXT37
More from The_Chartist 📈
Syngene - Double Top triggered today after a triangle breakout. 1%*3 Box size and reversal. https://t.co/pBY2JOwhjN
![](https://pbs.twimg.com/media/E6VdViNVoAosUkX.jpg)
Syngene - Same concept. Price contraction. Shift from weak to strong hands through repeated volatility contractions. I can well write one whole page explanation on it. Look at the volume pump today. A big hand will never let you ride with him. Make sure you are there at the party https://t.co/RN8sQYzdBg pic.twitter.com/AShKWnQeJt
— Steve Nison (@nison_steve) July 15, 2021
The channel formation is still unhindered. A beautiful price pattern at work in ITC. For investors, the best way is to add when the price comes near the lower boundary. https://t.co/2Nw9fLQPsm
![](https://pbs.twimg.com/media/FWghps1aIAA-zcs.png)
ITC - how beautifully the price patterns work. All of a sudden an increased momentum right from the support of the channel boundary. Has a minor resistance to nail down in the middle.
— The_Chartist \U0001f4c8 (@charts_zone) March 18, 2022
Anyone observing it would have gone aggressive at lower end for a swing move pic.twitter.com/YqxkdFlJXQ
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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.
![](https://pbs.twimg.com/media/FGgTAXfUYAApQN4.png)