image
image

created : 6 months ago| |  live deployment: 5

created : 6 months ago |  live deployment: 5

Twin Straddles BNF Type 3

Strategy description

Description :-

 

Twin Straddles BNF Series is 2 paired Bank Nifty option writing Strategy series. Each Strategy in the series has different characteristics of handling different markets conditions like shuffling, cutting, reclaiming, reentering. Deploy on paper for sufficient period of time to get to know them before deploying live. You can also use live PT data for determining the behavior of strategy during past live days to take an informed decision.


Here are all Strategies of the this series :-


Twin Straddles BNF Type 2 Link

 

Twin Straddles BNF Type 3 Link

 

Twin Straddles BNF Type 4 Link

 

Twin Straddles BNF Type 5 Link

 

Twin Straddles BNF Type 7 Link

 

Twin Straddles BNF Type 8 Link




Capital Requirement:-

 

As per norms of SEBI Rs. 3,50,000/-. This is indicative figures; please check with your broker for exact margin requirements. 

 

Entry :- 9.16 AM onward.

Exit :- 3.08 PM.

Fixed SL :- 6000

Target :- No target

Single Counter


Profit Sharing:-

 

The Strategy doesn't have any upfront fees.

 

The strategy will entail 5 % profit sharing


Disclaimer:

 

I or AlgoGuru are not SEBI registered advisors or Portfolio managers. I or AlgoGuru is not responsible for any kind of loss occurred in above trading strategies. All above strategies are based on Index Options Selling. If you're not aware of losses, please read or learn about Option Selling  and do not run this strategy till you are fully aware of the risks involved.

  

Automated & Algo Trading:-


Good Past performance is no guarantee of future results. It also extends to the fact that you shouldn't discount an algo simply because it's done poorly recently as it can revert to its usual amazing results in future. Although our algos are 100% fully automated, you're advised to keep a slant eye over the account to monitor any significant deviation or errors.

 

Contact Information :

 

Telegram (Direct): https://t.me/manishaoberoi

Telegram (Channel): https://t.me/AlgoGuru1

Twitter: @algoguru1

Email: support@algoguru.in

 

image