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Rule 4 : If buying a naked option, always ensure that implied volatility is low. This can be understood from the level of IV vis a vis historical IV levels. Use IVR or IVP etc.
For a naked option to make money, it's better if IV rises or at least stays flat.
This is a thread I wrote on IV, IVR etc
For a naked option to make money, it's better if IV rises or at least stays flat.
Rule 3 : DO NOT run or trade everything that moves. Focus on a few stocks and master them. When a move comes, make the max out of that move.
— Subhadip Nandy (@SubhadipNandy16) October 14, 2021
Example : in this crazy mkt, I did not even trade TataMotors this week. Stayed focussed on ITC and it gave good returns https://t.co/41wkugZg1I
This is a thread I wrote on IV, IVR etc
IV - A thread
— Subhadip Nandy (@SubhadipNandy16) September 20, 2018
In financial mathematics, implied volatility of an option contract is
that value of the volatility of the underlying instrument which, when
input in an option pricing model ) will return a theoretical value equal to the current market price of the option (1/n)
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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.