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Month that was - Oct 2024

Recent posts

Expiry day Straddle - All indexes - Adjustment based

Expiry day journey strategy which is run on the all the index options on their expiry day except for Mid Cap Nifty ->  Expiry day Journey strategy . As MTM swing is huge for this, I am executing with less lots (2).  These strategies are running in Algo Test Back Testing for Bankex Expiry day (Updated as of 31-Oct-24) Actual Trade Result for 1 Lot (Started trading from 8-Jul-24) Back testing for Fin Nifty Expiry day (Updated as of 31-Oct-24) Actuals  (Started trading from 9-Jul-24) Back Testing for Bank Nifty Expiry day (Updated as of 31-Oct-24) Actuals (Started trading from 10-Jul-24) Back Testing for Nifty Expiry day (Updated as of 31-Oct-24) Actuals (Started trading from 11-Jul-24) Back testing for Sensex Expiry day (Updated as of 31-Oct-24) Actuals  (Started trading from 5-Jul-24)

Sensex Journey 1DTX and 0 DTX

Sensex Journey strategy on Thu/Fri as detailed out by Stock Mock @   Stock Mock Sensex Journey This strategy is running in Algo Test Back Testing Details (Updated as of 31-Oct-24) 1DTX (Thursdays) Actuals (Started trading from 4-Jul-24) 0DTX (Fridays) Actuals (Started trading from 5-Jul-24)

Bank Nifty - Delta Neutral - MTM Target/SL Based

 Delta Neutral strategy which I run for Monday to Wednesday is Bank Nifty Delta Neutral strategy as described by Algo test @  Algo test Delta Neutral This strategy is running in Algo Test Back testing details  (Updated as on 31-Oct-24) Actuals ( Started trading from 26-Jun-24)

Algo trading platforms

In this blog post, I will be talking about the various trading platforms I have used in past 3 years of Algo trading.  Tradetron Tradetron was the first platform which I started using in Jun' 21 which was the start of my algo trading journey. Coming to the advantages of the platform, it is a no code platform which means you have lot of flexibility in setting up the strategies in the way you want. Even without knowing coding you can set up the Tradetron to execute your trading logic.  This platform can be used to set up simple time based straddles, strangles as well as complex strategies e.g. legs with varying SL, varying entry/exit times etc. During my start of trading journey there were lot of strategies floating on YT which were using Super trend. Was able to automate them using this platform but found that their returns were not as good as advertised.  It even provides the logic for stock options trading which is not usually available on other trading platforms. Along with this

Bank Nifty 10 Pt Strangle

  Entry time : 0918 Instrument : Sell Bank Nifty weekly CE and PE option which is trading at a price greater than or equal to 10 at 0918 Please note both CE and PE should be sold e.g. if BN 37200 CE is trading at 11 and BN 33100 PE is trading at 12, I will sell BN 37200 CE (Weekly) and BN 33100 PE (Weekly) Stop-Loss : 9 points on both CE/PE leg Exit : 1520 Slippage : 0.5% Capital: 97,000 Back Testing (Updated as of 31-Oct-24) Actual trade based profit/loss (Started trading from 9-Jan-24) Profit/Loss for Aug '24 Reason for high slippage b/w actual and back testing Historical Trades Jul 24 Jun 24 May 24 Apr 24 Note: I am not a SEBI registered advisor and sharing strategies for learning purpose only

Fin Nifty Expiry day ATM Straddle with leg level stop loss

Entry time : 0930 Instrument : Sell Fin Nifty weekly ATM CE and PE leg based on spot Stop-Loss : 70% at leg level with adjust to cost MTM SL: 1800 per lot Revised to 1400 per lot after revision of FINNIFTY lot size Target:  95% on both legs MTM Profit target : 90% of overall premium Exit Time : 3:20 PM Slippage : 0.5% Back testing (Updated as of 31-Oct-24) Actual trade based profit/loss (Started trading from 30-Jan-24 ) Profit/Loss for Oct 2024 Reason for high difference b/w actual and back testing Historical Trades Sep 2024 Aug 2024 Jul 2024 Jun 2024 Reason for high difference b/w actual and back testing 4-Jun-24: SL Limit order skipped and market order had very high slippage May 2024 Apr 2024 Note: I am not a SEBI registered advisor and sharing strategies for learning purpose only