Daily Charts
Most Popular on 27th of January, 2022
Most Popular on 26th of January, 2022
The Meeting is Live and is accessible via a Youtube
About T&MC
W# = Ward number
CM" = council Member
Chair of the Meeting: W3, Kerry McCormack
Vice Chair: W17, Charles Slife
Members
W2, Kevin L. Bishop
W4, Deborah A. Gray
W16, Brian Kazy
W12, Rebecca Maurer
W14, Jasmin Santana
Public Notice of the T&MC meeting is found here,
https://t.co/clQcmlfjrX
#Elliottwave puts #PriceAction in it's context
— Van Ilango (JustNifty) (@JustNifty) December 2, 2021
You're 1 undisputed expert on prime source of everything, #PriceAction
Let beginner start with #PriceAction & then step up to 12345 & ABC
Baby steps alone will take to maturity
Read this book months ago - "Rich Experience shared"\U0001f64f https://t.co/VUbG6F5Ems pic.twitter.com/PProaFsMsV
Most Popular on 25th of January, 2022
Most Popular on 24th of January, 2022
Take advantage of these amazing GitHub repositories to land your dream job.
A Thread ЁЯз╡ЁЯСЗ
1. https://t.co/dNTmL9nLkD
Coding Interview University is a complete computer science study plan to become a software engineer.
{ 1 / 10 }
2. https://t.co/eh64u3MndC
Tech Interview Handbook has curated interview preparation materials for busy engineers.
{ 2 / 10 }
3. https://t.co/u60cXhUQO2
This repo contains a huge list of 1000 JavaScript Interview Questions.
{ 3 / 10 }
4. https://t.co/mmgCIz1huT
JavaScript Algorithms has JavaScript based examples of many popular algorithms and data structures explained.
{ 4 / 10 }
Join us via a youtube livestream to watch the BZA meeting,
https://t.co/EP5QHtvPZo
Note: the stream is live but the meeting has yet to start.
BZA "hears appeals from individuals who are requesting exceptions or variations for City Ordinances in regard to land use and building requirements or...who are questioning the appropriateness of orders made by City officials."
Source: https://t.co/3WL5lyeiip
It's current members:
Kelley Britt
Terry Hamilton Brown
Myrline Barnes
Alanna Faith
Learn about Zoning from Cleveland Planner Matt Moss, @mattm178
Most Popular on 23rd of January, 2022
==========================
Module 2
In this post, I will attempt to show a simple Python code to download the past 5 years' Nifty50 stocks EOD Data using the NSEpy library in less than 2
Nano Course On Python For Trading
— Indian Quant (@indian_quant) December 13, 2021
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you\u2019re 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...
The first few lines are simple to import statements. Pulling public library NSEpy https://t.co/OW1TPC7QXC that we can use to extract historical and real-time data from NSEтАЩs website. Then, we import the most popular pandas library.
Then I define a function "fetchData" that fetches the data using the built-in get_history function of the nsepy library. I adjust the original data frame to store open, high, low and close prices. The original data frame sends more columns - Volume, Turnover, %Deliverable, etc.
I then go ahead and put all Nifty50 tickers in a Python list named nifty50list. I also set our start-date (2014-01-01), end-date(2022-01-21) in the YYYY-MM-DD format, and the path where I want to save my files on my PC.
Finally, I loop through all the Nifty50 tickers calling the fetchData function on each of them and saving them in the path specified above in the CSV format e.g. ADANIPORTS.csv, which came first. This process is repeated for each and every symbol in Nifty50.
Most Popular on 22nd of January, 2022
Collaborated with @niki_poojary
We'll divide these separately into sections of
1. Intraday Trading Strategies
2. Positional Trading Strategies
3. Uses of Indicators
From the accounts
1. @RijhwaniSheetal
2. @jigspatel1988
3. @YMehta_
1. 6 Intraday Strategies ЁЯз╡
How to Filter Stocks for Intraday
How you can filter stocks for Intraday trades - \U0001f9f5
— Sheetal Rijhwani (@RijhwaniSheetal) August 15, 2021
As a kid, we would do homework before school the next day - you have to do homework here too. A specific sector performs on a particular day and studying things a day before will help you spot that particular sector. (1/11)
Intraday BNF strangle based on OI data. ЁЯз╡
Thread on
— Jig's Patel (@jigspatel1988) July 4, 2021
"Intraday Banknifty Strangle based on OI data"
(System already shared, today just share few examples)
(1/n)
A few setups to make intraday trading easy.
A few setups/strategies that can make your intraday trading easy. I follow them personally:
— Sheetal Rijhwani (@RijhwaniSheetal) September 12, 2021
Add these stocks in your watchlist for next few days -
-If a stock closed exactly at resistance with good volumes or it has been consolidating near resistance for a long time. (1/10)
In a high IV environment or when the market is very volatile
— Subhadip Nandy (@SubhadipNandy16) January 21, 2022
" OTM options will behave like ATM options", one will get almost the same delta movement
Say we have two options, one 50 delta ATM options and another 30 delta OTM option. Normally for a 100 point move, the ATM option will move 50 points and the OTM option will move 30 points. But in a high volatile environment, the OTM option will also move nearly 50 points
To understand why this happens, first understand why an ATM option is 50 delta. An ATM option has the probability of 50% of expiring as ITM. The price just has to close a rupee above the strike for the CE to be ITM and vice versa for PEs
Now think of a highly volatile day like today. If someone is asked where the BNF will close for the day or expiry, no one can answer. BNF can close freakin anywhere, That makes every option of an equal probability of being ITM. So all options have a 50% probability of being ITM
Hence, when a huge volatile move starts, all OTM options behave like ATM options. This phenomenon was first observed in the Black Monday crash of 1987 at Wall Street, which also gave rise to the volatility skew/smirk
Most Popular on 21st of January, 2022
1. Moving Averages Ultimate Guide
2. All About ADX
3. Super Performance Using RELATIVE STRENGTH
Retweet and Share
Moving Average
The Ultimate Guide to moving averages !
— JayneshKasliwal (@JayneshKasliwal) November 30, 2021
A mega thread to understand the Use of 21 , 50 and 200 ema.
4 Effective uses of Exponential Moving Averages !
Retweet and Share \U0001f504#stockmarkets #nifty @kuttrapali26 @caniravkaria
All about
A Thread on indicator : ADX
— JayneshKasliwal (@JayneshKasliwal) January 1, 2022
Average Directional Index a Quick Guide
Retweet Share !@Techno_Charts
1/n pic.twitter.com/wRvQo5JNKN
Super Performance Using RELATIVE STRENGTH
A Mega Thread on RELATIVE STRENGTH
— JayneshKasliwal (@JayneshKasliwal) January 10, 2022
A method to improve
Stock Selection and Conviction in trades
Retweet \U0001f504And Follow @JayneshKasliwal
Firstly, I'm not here for money nor I will provide you turn-key solution, you will have to put the effort and code on your own, I can help/guide you whenever needed.
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Secondly, you need to arrange for reliable data (or if you can get it for free from your contacts).
Regarding my credentials, I'm no expert in coding. I consider myself a amateur, I just know how to get my work done and I believe if I can code (python) then anyone can code.
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There are many queries about how/where to start, I'm jotting down what I did, you can consider it the starting point.
for Python, go through the basic tutorial at https://t.co/vjrzcW0xAL
Try to absorb as much as possible for 1-2 weeks.
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Once you are familiar with basic python structure and syntax, start going through the most important Python library for time series data analysis i.e. PANDAS
I referred lot of resource but I will recommend https://t.co/dMRPQ5G2qJ
Again, try to absorb and practice.
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Another major learning source for me was "Corey Schafer" video, refer his channel at https://t.co/DzT6WMQiDQ
I just love watching his videos.
While coding if you know how to break a problem in small parts and focus on the immediate next part, you can solve any problem.
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