Tata Elxsi @ 500 - Gann theorist ( Target: 250)
@ 900 - Auto sector slowdown
@ 1500 - overvalued
@ 2500 - PE is extremely high
@ 3500 - other options avaialble
@ 4500 - market is insane
Heading to 5000 - will hear the new narrative.
The market is an interesting place to watch.

More from The_Chartist 📈
You are seriously missing a lot of information if you are not maintaining a trading journal. It is much better if you also take a snap of the charts you trade for the post-analysis.
This exercise will tell you about your inherent strengths & weaknesses. 👇👇
This exercise will tell you about your inherent strengths & weaknesses. 👇👇
How to record a trading journal (TJ) & what to analyze?
— The_Chartist \U0001f4c8 (@charts_zone) December 14, 2021
What is in a TJ?
Buy Date
Stock Name
The time frame you analyzed (D/W/M)
Long/Short?
Buy Price
SL
Sell Price
Risk took (% of capital)
Sell date
No. of days held
P/L
P/L as % of capital
Buy Reason?
Invested capital/trade pic.twitter.com/WnrvmYuOV0
More from Tataelxsi
Tata Elxsi - DTB active after close above 4527.75 https://t.co/rO4f8hkPFF

Tata Elxsi - Daily I track this chart and waiting for a big kill in this. You have to act like a cheetah sometimes waiting for the weakest hit.
— The_Chartist \U0001f4c8 (@nison_steve) August 10, 2021
There are times when you must sit patiently to catch your prey. pic.twitter.com/CRoBHIetHE
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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.
