created : 2 months ago| | live deployment: 195
BLACKWOLF 2.0, originally created by our collaborator Blackrose Technologies, is a DIRECTIONAL BANKNIFTY OPTIONS SELLING STRATEGY that sells intraday BankNifty options based on proprietary momentum indicator. It takes only one high-probability trade entry per day with custom strike and stoploss based on trend strength.
BLACKWOLF 2.0 works great with algos like Penguin Cave, Smoking In Black, Smoking On Ice, and Vega Miner because it adds additional directional bias to the portfolio.
### PLEASE READ FOLLOWING DETAILS CAREFULLY
Daily Target and Stoploss
This algo has a daily stoploss of approx. 1.5K on 1x multiplier. It has no daily target limit and lets the trades run until square off time (except for expiry where it books at Rs. 2).
The algo can have maximum 1 lot BankNifty short option trade open at given time on 1x multiplier. That is 8K margin requirement as per Alice Blue. We also suggest keeping 7K additional MTM buffer. So total capital required in this case is 15K for 1x multiplier.
If you have different broker, please use their margin calculator and related information to calculate how much margin you need to keep. Please do not send us queries asking about how much margin you will need, you have to do your homework.
We are happy to announce that for the year 2020 Paper Street has switched to an OPTIONAL PROFIT SHARE model! That means we will not raise any mandatory profit share invoices for our clients. At the end of the month, the clients can pay whatever they like or even nothing at all :D
TO FIND ANSWERS TO ALL YOUR QUESTIONS, GO TO www.paperstreet.capital/faq
Automated Trading is NOT Unsupervised 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.
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