At the risk of crapping on Star Trek: The Motion Picture before it's 40th anniversary, I really think I've figured out why that movie is kind of plodding.
Don't get me wrong, I love the movie. It's my favorite cause it's the closest the movies have gotten to Pulp SciFi.
How did it go so wrong?
I got several other drafts of the movie, including the second draft by Gene Roddenberry. Roddenberry's second draft actually added in a lot more character moments.
At the time of filming, it's known that Livingston and Roddenberry were busy re-writing each other in revision after revision.
That isn't to say those two didn't do character moments/action. Livingston has a wonderful character moment of Kirk trying to convince McCoy (now a veterinarian working on a cheetah), to...
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There are many strategies in market 📉and it's possible to get monthly 4% return consistently if you master 💪in one strategy .
One of those strategies which I like is Iron Fly✈️
Few important points on Iron fly stategy
This is fixed loss🔴 defined stategy ,so you are aware of your losses . You know your risk ⚠️and breakeven points to exit the positions.
Risk is defined , so at psychological🧠 level you are at peace🙋♀️
How to implement
1. Should be done on Tuesday or Wednesday for next week expiry after 1-2 pm
2. Take view of the market ,looking at daily chart
3. Then do weekly iron fly.
4. No need to hold this till expiry day .
5.Exit it one day before expiry or when you see more than 2% within the week.
5. High vix is preferred for iron fly
6. Can be executed with less capital of 3-5 lakhs .
https://t.co/MYDgWkjYo8 have R:2R so over all it should be good.
8. If you are able to get 6% return monthly ,it means close to 100% return on your capital per annum.
One of those strategies which I like is Iron Fly✈️
Few important points on Iron fly stategy
This is fixed loss🔴 defined stategy ,so you are aware of your losses . You know your risk ⚠️and breakeven points to exit the positions.
Risk is defined , so at psychological🧠 level you are at peace🙋♀️
How to implement
1. Should be done on Tuesday or Wednesday for next week expiry after 1-2 pm
2. Take view of the market ,looking at daily chart
3. Then do weekly iron fly.
4. No need to hold this till expiry day .
5.Exit it one day before expiry or when you see more than 2% within the week.
5. High vix is preferred for iron fly
6. Can be executed with less capital of 3-5 lakhs .
https://t.co/MYDgWkjYo8 have R:2R so over all it should be good.
8. If you are able to get 6% return monthly ,it means close to 100% return on your capital per annum.
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.
