5. On Wed trail your SL by 10 points. It means if any leg comes in profit by 10 points then reduce the SL of that leg by 10 points. on Thu no need to trail SL
6. if SL hit in any leg than continue with remain leg.
7. Either exit at 3.10 or if SL hit
As Promised here is the setup
1. Strategy is meant to trade only on Wed and Thu.
2. At 9.30AM Sell 1 lot of nifty ATM and 2 lot of nifty OTM1 CE and PE.
3. Suppose nifty spot is trading at 17500 then sell 1 lot of 17500CE and 17500PE(Straddle). 2 lot of 17550CE and 17450PE.
5. On Wed trail your SL by 10 points. It means if any leg comes in profit by 10 points then reduce the SL of that leg by 10 points. on Thu no need to trail SL
6. if SL hit in any leg than continue with remain leg.
7. Either exit at 3.10 or if SL hit
1. Try back testing it from 40-50% SL
2. Try back testing it with MTM Level SL. Suppose you are trading it with 2.5Lakh capital and don't want risk more than 2% of your capital then backtest if with 5K MTM SL.
4. Execution:- You can subscribe to @Quantiply_tech algo to execute any stock mock strategy.
Run 5-7 backtest with different different parameter like SL from 40-50%, MTM level SL etc.
This strategy work like a charm. Find out your version of this strategy
More from All
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)
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Tip from the Monkey
Pangolins, September 2019 and PLA are the key to this mystery
Stay Tuned!
1. Yang
2. A jacobin capuchin dangling a flagellin pangolin on a javelin while playing a mandolin and strangling a mannequin on a paladin's palanquin, said Saladin
More to come tomorrow!
3. Yigang Tong
https://t.co/CYtqYorhzH
Archived: https://t.co/ncz5ruwE2W
4. YT Interview
Some bats & pangolins carry viruses related with SARS-CoV-2, found in SE Asia and in Yunnan, & the pangolins carrying SARS-CoV-2 related viruses were smuggled from SE Asia, so there is a possibility that SARS-CoV-2 were coming from
Pangolins, September 2019 and PLA are the key to this mystery
Stay Tuned!
1. Yang
Meet Yang Ruifu, CCP's biological weapons expert https://t.co/JjB9TLEO95 via @Gnews202064
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) October 11, 2020
Interesting expose of China's top bioweapons expert who oversaw fake pangolin research
Paper 1: https://t.co/TrXESKLYmJ
Paper 2:https://t.co/9LSJTNCn3l
Pangolinhttps://t.co/2FUAzWyOcv pic.twitter.com/I2QMXgnkBJ
2. A jacobin capuchin dangling a flagellin pangolin on a javelin while playing a mandolin and strangling a mannequin on a paladin's palanquin, said Saladin
More to come tomorrow!
3. Yigang Tong
https://t.co/CYtqYorhzH
Archived: https://t.co/ncz5ruwE2W
4. YT Interview
Some bats & pangolins carry viruses related with SARS-CoV-2, found in SE Asia and in Yunnan, & the pangolins carrying SARS-CoV-2 related viruses were smuggled from SE Asia, so there is a possibility that SARS-CoV-2 were coming from
