Strategy description

Hanky Panky - Bank Nifty is Bank Nifty Options Writing Strategy. This is a smart purely intraday strategy. It trades upto 2 intraday Bank Nifty options with custom parameters for strikes.To smoothen the volatility, it will continuously adjust and repair the strikes in case of volatility to unnecessary stop loss hits while at the same time protecting the strategy of bigger losses and taking stop loss only at the right time.

 This strategy is available totally FREE of Profit sharing if you opt for trading the strategies with our referral account with our partner broker Profitmart. Open your demat trading account with Profitmart with our referral link as below and you will never ever be charged again till you trade  with our referral account.

https://kyc.profitmart.info:8443/onboard.aspx?type=2&branch=7242&fr=gEX444Bjt%2BFFfOTOrz1F9g%3D%3D

Please mail us your account details along with your Tradetron id details to support@algoguru.in for marking with us as eligible for ZERO profit sharing. In case you require any further information/clarification, please do mail your queries at support@algoguru.in

This is optimum Bank Nifty option selling algo for small accounts looking for consistent returns with limited risk.

Entry : 09.15 AM to 9.30 AM depending on conditions.

Exit :    02.50 PM.

Target and Stop Loss :-

This Strategy has target of 3000 on 1x multiplier. It also has max stop loss of 3000.

Please keep in mind Bank Nifty is a fairy volatile index and the ultimate results may vary minorly due to slippages and volatility.

Capital Requirement :-

The below are tentative and indicative figures, please check with your broker for exact margin requirements. Please also keep a buffer margin of around 5000 per lot (total 15000/-) to avoid rejection of orders.

AliceBlue :: Rs.90000/- .Please maintain at least Rs. 135000/- funds in your Alice Blue account to trade on 2 Lots as required). If you've lower than this amount then you will get errors while executing orders. Irrespective of what is stated above (which is purely indicative),please note that you take full care and provide for requisite margin for the execution of 2 lots.In case of any error in execution due to margins, we strongly recommend that you quit the positions manually and be done for the day. Do not try to execute and retry after error has come for Margin. 

Other Brokers: Please ask your broker for the margin to trade one lot Bank Nifty Option CE and PE and calculate accordingly the margin requirements.

Please Note not to deploy this strategy mid market after initial positions have been taken as it may result in unexpected results

Profit Sharing:-

The Strategy doesn't have any upfront fees.

The strategy will entail 7.50 % profit sharing. The billing shall be done on fortnightly basis based on Tradetron's High watermark Policy.

Special Note: As the logic of this strategy involves multiple trades, please get comfortable with the trading logic (by deploying it in paper trade, watch no of trades, Adjust your expected returns expectations with additional brokerage charges, and keep your trading account sufficiently funded for any eventuality (like taking new position without squaring off existing one, which may result in case of certain trades with certain brokerages)

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

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Twitter:@AlgoGuru1

Email: support@algoguru.in