Sellers selling OTM get lured by higher premiums and sell near ATM or more than they usually do, this will burn your hand as High premiums also mean that you will end up giving higher premium back than usual as soom as it spikes.
A Thread on How to NOT do blunders while selling Options. 🧵🪡
Sellers selling OTM get lured by higher premiums and sell near ATM or more than they usually do, this will burn your hand as High premiums also mean that you will end up giving higher premium back than usual as soom as it spikes.
Hope drives a man crazy and this is true for trading the most, hoping for a reversal to cut the pain. Humans have a tendency to avoid the pain and one does not accept the pain by not booking a loss
Tom Hougaard explains this well below.
https://t.co/zDbDT2hdej
You cannot make money long term if you don’t have a set of rules or adjustments in place already if you are trading long term. Make a plan or a system so that you always know how to survive. Your Position is non D not the market.
Many people think they are supreme because they are selling options much likely because of the Trend on Twitter in the community,
You are a trader think like one and remain one trading a certain way does not make you better.
I see people come in and Trade Straddles and Strangles just 50-100 points away on expiry to chase profits by the end, I’ve seen this happen because of low capital, please avoid it as Gamma Kills a seller
Option buyers ke kapde bikte hai
Sellers ke Ghar bikte hai
If you are not hedged properly or position size isn’t there you are one event away from going Bank corrupt or worse in Debt. ₹2 takes no time to turn into ₹500 :)
When selling Straddles or strangles Selling will give you a higher Probability of Profit than a good Risk:Reward and you have to adjust R:R with that
Loose one Gain 2 or 3,
doesn’t work here,
Loose 3 gain 1 does work.
More from Optionslearnings
A THREAD ON @SarangSood
Decoded his way of analysis/logics for everyone to easily understand.
Have covered:
1. Analysis of volatility, how to foresee/signs.
2. Workbook
3. When to sell options
4. Diff category of days
5. How movement of option prices tell us what will happen
1. Keeps following volatility super closely.
Makes 7-8 different strategies to give him a sense of what's going on.
Whichever gives highest profit he trades in.
2. Theta falls when market moves.
Falls where market is headed towards not on our original position.
3. If you're an options seller then sell only when volatility is dropping, there is a high probability of you making the right trade and getting profit as a result
He believes in a market operator, if market mover sells volatility Sarang Sir joins him.
4. Theta decay vs Fall in vega
Sell when Vega is falling rather than for theta decay. You won't be trapped and higher probability of making profit.
Decoded his way of analysis/logics for everyone to easily understand.
Have covered:
1. Analysis of volatility, how to foresee/signs.
2. Workbook
3. When to sell options
4. Diff category of days
5. How movement of option prices tell us what will happen
1. Keeps following volatility super closely.
Makes 7-8 different strategies to give him a sense of what's going on.
Whichever gives highest profit he trades in.
I am quite different from your style. I follow the market's volatility very closely. I have mock positions in 7-8 different strategies which allows me to stay connected. Whichever gives best profit is usually the one i trade in.
— Sarang Sood (@SarangSood) August 13, 2019
2. Theta falls when market moves.
Falls where market is headed towards not on our original position.
Anilji most of the time these days Theta only falls when market moves. So the Theta actually falls where market has moved to, not where our position was in the first place. By shifting we can come close to capturing the Theta fall but not always.
— Sarang Sood (@SarangSood) June 24, 2019
3. If you're an options seller then sell only when volatility is dropping, there is a high probability of you making the right trade and getting profit as a result
He believes in a market operator, if market mover sells volatility Sarang Sir joins him.
This week has been great so far. The main aim is to be in the right side of the volatility, rest the market will reward.
— Sarang Sood (@SarangSood) July 3, 2019
4. Theta decay vs Fall in vega
Sell when Vega is falling rather than for theta decay. You won't be trapped and higher probability of making profit.
There is a difference between theta decay & fall in vega. Decay is certain but there is no guaranteed profit as delta moves can increase cost. Fall in vega on the other hand is backed by a powerful force that sells options and gives handsome returns. Our job is to identify them.
— Sarang Sood (@SarangSood) February 12, 2020
Detailed thread on how @niki_poojary & I managed our positions on Thursday and got a big profit via straddles.
Many people were asking us in the comments, how we managed.
Explained transparently what we did.
Hope you get something to learn from this. 😀👍
Many people were asking us in the comments, how we managed.
Explained transparently what we did.
Hope you get something to learn from this. 😀👍
Sep 23, 2021 - Weekly expiry, preceded by the FOMC meet and not to mention the gap up which then turned out to be a trending day
— Nikita Poojary (@niki_poojary) September 25, 2021
Here\u2019s how the strangles were converted into straddles & how the positions were managed!
Time for a Thread \U0001f9f5
Here are my TOP 10 BEST TWEETS of the week: 10th September.🧵
• Psychological mistakes to avoid
• Iron fly strategy
• Calenders strategy
• 3 great books on trading stocks.
• Various risks and how to manage.
• How breakout stocks behave.
• Solutions for peak margin.
Psychological mistakes to
Iron fly strategy
Calenders strategy to give you consistent
Compounding is
• Psychological mistakes to avoid
• Iron fly strategy
• Calenders strategy
• 3 great books on trading stocks.
• Various risks and how to manage.
• How breakout stocks behave.
• Solutions for peak margin.
Psychological mistakes to
Why few traders are going bankrupt after attaining huge success.
— Mitesh Patel (@Mitesh_Engr) September 4, 2021
Could be the following psychology.
During initial days trader is generating huge ROI with less capital.
Iron fly strategy
There are many strategies in market \U0001f4c9and it's possible to get monthly 4% return consistently if you master \U0001f4aain one strategy .
— Kavita (@Kavitastocks) September 4, 2021
One of those strategies which I like is Iron Fly\u2708\ufe0f
Few important points on Iron fly stategy
Calenders strategy to give you consistent
Here is the detailed information of about strategy,
— itrade(DJ) (@ITRADE191) September 4, 2021
Entry time : 9.30 - 10
Exit : Upto you
Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle
Compounding is
If it takes 15 Long Years (180+ months) to Build the First Crore Rupees, the Second will take a Few Years Lesser. The Third will be Effortless & The Fourth Happens Seamlessly.
— Fundamental Investor \u2122 \U0001f1ee\U0001f1f3 (@FI_InvestIndia) September 5, 2021
This is the Power of Patience, Base Effect & Compounding !!!#FI
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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.
