After 175km of travel, both the hero and his horse are tired. That is when he sees the refreshing visuals of Veeranarayanapura lake.
It was Aadi 18, and the Cholas were celebrating.
#PonniyinSelvan novel is famous for its characters, history and plot twists. Did you know that its geographical descriptions are accurate?
Come, let us travel along Vandhiyathevan to retrace the hero's journey in modern day Tamilnadu, with google map links and images! (A thread)
After 175km of travel, both the hero and his horse are tired. That is when he sees the refreshing visuals of Veeranarayanapura lake.
It was Aadi 18, and the Cholas were celebrating.
Ramanuja was influenced by the magnitude of this lake and decided to establish 74 mutts : a number based on the 74 openings in the lake. Map:
https://t.co/c8O0numTgr
This is Kalki's genius: making his reel characters meet real historic people!
Chola inscriptions mention the temple's name as Veeranarayana Vinnagaram (Tamil for Vishnu's Griham-house)
Map:
https://t.co/yFWOdiZ9V8
This is where the plot thickens: he accidentally discovers a secret meeting of conspirators discussing who should become the next king! But where is this Sambuvarayar palace today? Does it exist?
https://t.co/XkgxrRHmlp
Map: https://t.co/g0DdBKWBu8
He crosses Kollidam river with the hero & then splits up to follow Pandya conspirator Idumbankaari, who meets his leader Ravidasan at Thirupurambiyam Pallipadai at midnight. This secret place exists even today!
Nathan Koil and Vadathalli Koil at Pazhaiyaarai are mentioned in the novel.
Map: https://t.co/60XWmffCA0
The Cholas, their palaces didn't last, but their temples and fame sure did!
Map: https://t.co/IHJsihTplS
But wait - the princess sends him off on his next mission - to Sri Lanka, to bring Ponniyin Selvan back to the Chola kingdom!
He travels a grand total of 350km from Kanchipuram to Pazhaiyaarai with multiple detours, betrayals, friendships and loves! And Kalki made us travel along with him, through #PonniyinSelvan1
Follow us @thamizhlab for more such content!
Tag your friends, lets spread the love for Thamizh together!
More from All
MASTER THREAD on Short Strangles.
Curated the best tweets from the best traders who are exceptional at managing strangles.
• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria
How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr
• When to sell
• How to do Adjustments
• Exit
Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in
1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr
• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only
2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.
• Identified a reversal and sold puts
• Puts decayed a lot
• When achieved 2% profit through puts then sold
Curated the best tweets from the best traders who are exceptional at managing strangles.
• Positional Strangles
• Intraday Strangles
• Position Sizing
• How to do Adjustments
• Plenty of Examples
• When to avoid
• Exit Criteria
How to sell Strangles in weekly expiry as explained by boss himself. @Mitesh_Engr
• When to sell
• How to do Adjustments
• Exit
1. Let's start option selling learning.
— Mitesh Patel (@Mitesh_Engr) February 10, 2019
Strangle selling. ( I am doing mostly in weekly Bank Nifty)
When to sell? When VIX is below 15
Assume spot is at 27500
Sell 27100 PE & 27900 CE
say premium for both 50-50
If bank nifty will move in narrow range u will get profit from both.
Beautiful explanation on positional option selling by @Mitesh_Engr
Sir on how to sell low premium strangles yourself without paying anyone. This is a free mini course in
Few are selling 20-25 Rs positional option selling course.
— Mitesh Patel (@Mitesh_Engr) November 3, 2019
Nothing big deal in that.
For selling weekly option just identify last week low and high.
Now from that low and high keep 1-1.5% distance from strike.
And sell option on both side.
1/n
1st Live example of managing a strangle by Mitesh Sir. @Mitesh_Engr
• Sold Strangles 20% cap used
• Added 20% cap more when in profit
• Booked profitable leg and rolled up
• Kept rolling up profitable leg
• Booked loss in calls
• Sold only
Sold 29200 put and 30500 call
— Mitesh Patel (@Mitesh_Engr) April 12, 2019
Used 20% capital@44 each
2nd example by @Mitesh_Engr Sir on converting a directional trade into strangles. Option Sellers can use this for consistent profit.
• Identified a reversal and sold puts
• Puts decayed a lot
• When achieved 2% profit through puts then sold
Already giving more than 2% return in a week. Now I will prefer to sell 32500 call at 74 to make it strangle in equal ratio.
— Mitesh Patel (@Mitesh_Engr) February 7, 2020
To all. This is free learning for you. How to play option to make consistent return.
Stay tuned and learn it here free of cost. https://t.co/7J7LC86oW0
How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
