#Nifty #StockMarket #StockMarketindia #TradingView

There are multiple ways to track sectors that are performing or under pressure.

This @tradingview feature may assist you with the same.

All you have to do is, go to the Home page,
➡️Products➡️Heatmaps➡️Stock

1/8

- It will show the heatmap of S&P 500 stocks

- So, you have to click on the 'S&P 500 index' in the top left corner and select one of the below,

NIFTY 50 index
All Indian companies
S&P BSE Sensex index

2/8
- I have selected 'All Indian companies'; you can see all companies listed in NSE & BSE in the heatmap

- The cell size of companies is based on their Market Capital

- Companies with higher Market Capital will have a bigger cell size

- Companies are segregated sector-wise

3/8
- Cell size can be modified depending on P/E, P/B, Dividend, Volume etc. in their respective sectors

- The colour of these cells denotes the daily performance of stocks

- You can try other options in the 'Performance' tab like Hourly, Weekly, Monthly etc.

4/8
- If these uneven-sized cells disturb your eyes, you can toggle to the mono-sized cells

- Cells of all stocks in a particular sector will have the same size

5/8
- If any sector catches your eye, you can click on the sector name and take a closed look at each stock in that sector

- Here, I can see a lot of green cells in the 'Consumer Services' sector

- So, I will go inside and see if I get anything.

& That's how it looks!

6/8
- In the top right corner, you can change the 'Heat Multiplier'

- By default it is 'x1' i.e. -3% to +3%

- I have changed it to 'x2' i.e. -6% to +6%

- Here, I want to see the stocks that moved more than 5.5%.

- So, I have deselected -6, -4, -2, 0, 2, 4 and kept 6 only

7/8
- Hereafter, I can go and study charts of the strong stocks by clicking on the respective cell

- MHRIL: 284

I can see that the above stock has given a breakout above the 52-week high

8/8

More from Omkar Banne - Safe Trader

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MASTER THREAD on Short Strangles.

Curated the best tweets from the best traders who are exceptional at managing strangles.

• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria

How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr

• When to sell
• How to do Adjustments
• Exit


Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in


1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr

• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only


2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.

• Identified a reversal and sold puts

• Puts decayed a lot

• When achieved 2% profit through puts then sold

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Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the


chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project

starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".

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https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?
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.