*HAIL HELLA* V Spl

Created By: GAMING ALGOS
Deployed By: Tradetron

Strategy Link: https://tradetron.tech/strategy/277395

Subscribers: 5

Rating: 5

Tags Volatility, EarnTheta, Intraday
Margin 195,000

Description:

<p><span style="text-align: justify; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline;"><font color="#000000" face="Arial"><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-weight: 700;">"</span></span><span style="font-size: 14.6667px; white-space: pre-wrap;"><span style="font-weight: 700;">BNF&NF *HAIL HELLA* - I</span></span><span style="font-size: 11pt; white-space: pre-wrap;"><span style="font-weight: 700;">" is a Slow and Steady Short Options </span>S</span></font><span style="color: rgb(0, 0, 0); font-family: Arial; font-size: 11pt; white-space: pre-wrap; font-weight: 700;">trategy</span><font color="#000000" face="Arial"><span style="font-size: 11pt; white-space: pre-wrap;"> on </span></font><span style="color: rgb(0, 0, 0); font-family: Arial; font-size: 14.6667px; font-weight: 700; white-space: pre-wrap;">Banknifty & Nifty between 9.55 am and 10.05 am on fulfilling the criterias.. </span></span></p><span style="font-variant-numeric: normal; font-variant-east-asian: normal; background-color: transparent; text-align: justify; vertical-align: baseline;"><span style="color: rgb(0, 0, 0); font-family: Arial; font-size: 14.6667px; font-weight: 700; white-space: pre-wrap;"><br></span></span><p><span style="text-align: justify; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline;"><span style="color: rgb(0, 0, 0); font-family: Arial; font-size: 14.6667px; text-align: left; white-space: pre-wrap;">Telegram: @GAMING_ALGOS</span></span></p><span style="font-variant-numeric: normal; font-variant-east-asian: normal; background-color: transparent; text-align: justify; vertical-align: baseline;"><span style="color: rgb(0, 0, 0); font-family: Arial; font-size: 14.6667px; white-space: pre-wrap;"><br></span></span><p><span style="text-align: justify; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);"><span style="background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; font-size: 11pt;"><span style="font-weight: 700;">On 1x Multiplier: </span></span></span></p><p><span style="text-align: justify; background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);"><span style="background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; font-size: 11pt;"><span style="font-weight: 700;">Max Risk: Rs 7000 as per Backtest Capital/Margin: Rs 1,25,000 per Straddle (1 Lot Set of Banknifty & Nifty) (as per Zerodha Margin Calculator) Universe: Banknifty & Nifty Options</span><br></span></span><span style="font-weight: 700;"><br></span></p><p><span style="font-weight: 700;">The Actual P/L may vary dependent on Slippages, Order Executions and other factors varying from Individual to Individual.</span></p><span style="font-weight: 700;"><br></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><u>Product Type and Square Off</u></span></p><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;">This Algo trades only intraday using MIS orders and all trades are squared off by 3:23 PM.</span></p><span style="font-weight: 700;"><br></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><u>Capital Required</u></span></p><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;">The Algo will have maximum 2 lots BankNifty and 2 lots Nifty short option trades open on 1x multiplier.</span></p><span style="font-weight: 700;"><br></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-weight: 700;">If you have different broker, please use their margin calculator and related information to calculate how much margin you need to keep.</span> Please do not send us queries asking about how much margin you will need, you have to do your homework.</span></p><span style="font-variant-numeric: normal; font-variant-east-asian: normal; background-color: transparent; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); font-weight: 700; vertical-align: baseline; white-space: pre-wrap;"><u><br></u></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><u>Profit Sharing</u></span></p><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><u><br></u></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: 700; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><u>Automated Trading is NOT Unsupervised Trading</u></span></p><span style="font-variant-numeric: normal; font-variant-east-asian: normal; background-color: transparent; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); vertical-align: baseline; white-space: pre-wrap;"></span><p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; text-align: justify;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;">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. <span style="font-weight: 700;">Although the Algo is 100% fully automated, you're advised to keep a slant eye over the account to monitor any significant deviation or errors.</span></span></p><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-weight: 700;"><br></span></span><p><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><span style="font-weight: 700;">Backtest results of past 1 year performance..</span></span></p><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><img 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" alt=""><span style="font-weight: 700;"><br></span></span>

Disclaimer : These results are based on simulated or paper trading or hypothetical performance results that have certain inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.

Totals
Capital 195 K
PNL 78.5 K
Drawdown 6.9 K (4%)
Std Deviation 0.31%
Sharpe Ratio 6.57
Month PNL PNL %
Dec, 20 3.2 K 1.65
Jan, 21 15.7 K 8.04
Feb, 21 19.1 K 9.82
Mar, 21 25.2 K 12.93
Apr, 21 1.9 K 0.99
May, 21 13.3 K 6.83