if #deepaknitrite #Deepakntr sustains above 2200, it can move towards 2550 as shown
Near 2145 we can see flag breakout with strong RSI & MACD
#Nifty #stocks
Not trading call, academic post

More from Techno Prince
Bad for equities
#DowJones #Nifty #NASDAQ https://t.co/llt2Mxzg3z

#USA May inflation data came 8.6% yoy vs consensus expectations of 8.3% yoy , Core inflation at 6.0% yoy, vs consensus expectations of 5.9% yoy
— Techno Prince (@Trader_souradep) June 10, 2022
Quite a headache for #Fed
Positive for #Dollar #USD
Negative in general for equities #DowJones #Nasdaq #ES_F #Nifty #BankNifty pic.twitter.com/QnpqY9R8OO
More from Deepaknitrate
2279 📍
On weekly log scale; The trend remains intact towards the upside. Next up would be 2340.
#StockMarket https://t.co/cUERcUA6BU

#DEEPAKNITRITE Update
— Gurleen (@GurleenKaur_19) August 3, 2021
2150 \U0001f4cd
On weekly log scale; The trend remains intact towards the upside. Next up would be 2340.
[As mentioned; this can be in one's long term portfolio, Targets would keep on becoming elongated.] #StockMarket #StocksInFocus #investing https://t.co/HJH5XwMRf5 pic.twitter.com/PWwLqZph9c
Even though bus was missed , I feel delighted bcoz I followed the #process
#Deepakntr Super Pattern after a brief consolidation at ATH.
— Aditya Shyam Jalan (@Aditya_Jalan_3) July 7, 2021
Count clusters till two decimal points.@srvithal388 @flyingvikas129 pic.twitter.com/5SFLEmz0Ia

#DeepakNtr - Can this be a Runway Gap and remain unfilled for some time going forward?
— VVikas Kumaarr (@flyingvikas129) July 31, 2021
Only market knows the right Answer.#flyingvikas #technical #nse #trading #Keepitsimple#Cadlestick #Gap #Breakout #BREAKOUTSTOCKS #stokes #trading pic.twitter.com/VFjbwGl0kD
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==========================
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.
