NSE:IRCTC 3040
1. Still 200/400 point movement left as per Ascending Triangle Pattern.
2. Stock perfectly moved according to the classic pattern.
3. Next level to watch now 3500-4000
4. Support near 2600-2800 https://t.co/VrUhS85Rml

NSE:IRCTC 1775 +2.78%
— Mr. Chartist (@Mr_Chartist) February 26, 2021
-Cup and Handle breakout
-Support at 1600/1650
-Next levels at 1900/2000/2100++#TA pic.twitter.com/LxpPTI0rB6
More from Mr. Chartist
Fresh Chart
NSE:BAJFINANCE 7745
1. Breakout in Pole and Flag pattern at ATH
2. Volume and Price Confirming the Breakout
3. Support near 7400-7300 level
4. Next levels to watch 8200-8400
#TechnicalAnalysis #StocktoWatch @nakulvibhor https://t.co/MSBIQPAEL4
NSE:BAJFINANCE 7745
1. Breakout in Pole and Flag pattern at ATH
2. Volume and Price Confirming the Breakout
3. Support near 7400-7300 level
4. Next levels to watch 8200-8400
#TechnicalAnalysis #StocktoWatch @nakulvibhor https://t.co/MSBIQPAEL4

14. Bajfinance- Daily Chart pic.twitter.com/ottmZN2YGh
— Mr. Chartist (@Mr_Chartist) December 24, 2020
More from Irctc
#IRCTC-6375
4.618%(6406) Sustain rise above this
level upside #Fibonacci extension
6.857% 9135
#Probability
4.618%(6406) Sustain rise above this
level upside #Fibonacci extension
6.857% 9135
#Probability
#IRCTC -2351
— Waves_Perception(Dinesh Patel) \u092e\u0948\u0902Schedule Tribes) (@idineshptl) July 16, 2021
Now above 1.272% (2325)
Next 1.618%
Than 2.618% ...
Near term Base case 1987.#Probability pic.twitter.com/MJad8gnmWz
Irctc - updated chart and follow up
Another fresh breakout making HH-HL
volume spike seen today
Unlock process started which will help irctc to have upcoming good quarter results
Hits 2100+
Keep holding
2300-2500 short term targets
4992 long term target
Monopoly company https://t.co/mlIErwRuP5
Another fresh breakout making HH-HL
volume spike seen today
Unlock process started which will help irctc to have upcoming good quarter results
Hits 2100+
Keep holding
2300-2500 short term targets
4992 long term target
Monopoly company https://t.co/mlIErwRuP5

Irctc
— Vibhor Varshney (@nakulvibhor) June 7, 2021
Another fresh breakout
Unlock process started in Mumbai - Delhi - up and few other states will help irctc to have upcoming good quarter results
Hits 2100+
Keep holding
2300-2500 short term targets
4992 long term target
Monopoly company
One can add now as well
\U0001f44d\U0001f44d https://t.co/O5M3hj8Mhk
IRCTC - Learning?
Runaway Gaps are traded like flag & pennant patterns. The price move before the gap is projected upwards for the price target. Here the target comes out to be 3230. https://t.co/QuKrekfHG3
Runaway Gaps are traded like flag & pennant patterns. The price move before the gap is projected upwards for the price target. Here the target comes out to be 3230. https://t.co/QuKrekfHG3

IRCTC - A perfect pullback on low volumes after a high volume breakout. Low-risk setup. Weak below 2015 pic.twitter.com/jSHBlEhkE0
— The_Chartist \U0001f4c8 (@nison_steve) June 9, 2021
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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
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# 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.
