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created : 7 months ago| |  live deployment: 14

created : 7 months ago |  live deployment: 14

Pratilipi Nifty50 Intraday Option Selling

Strategy description

Live Shared Code: 9a0fa1db-c0fa-421a-9c22-308810d83dac






Important Note

F&O trading carries substantial risk. It should not be considered a primary income source, nor should funds be borrowed for trading purposes.






Strategy Description

  • Type: NFO Intraday Algo in NIFTY50 Index Options (Weekly Expiry Options – Intraday Only)
  • Positioning: ATM Short Straddle with adjustments
  • Capital Requirement: Approximately ₹50,000 due to hedged option selling (Hedged short straddle)
  • Trade Structure: Single-counter algo with fixed stop-loss (SL) and undefined target with Dynamic TSL
  • Entry Timing: Dynamic entry anytime after 9:18 AM; at times, it may show “Live-Entered” with 0 running positions, which is expected behavior
  • Universal Exit: 3:13 PM, after which the algo typically reactivates after 6 hours
  • Average Trades per Day: 14 trades per day (buy + sell)
  • Market Conditions: Designed for non-directional market environments
  • Order Execution: MIS and market orders only
  • Brokerage: Recommended to use 0-commission brokers only. Do not use any other broker which even charge 1 rs/order





Important Capital Management Guidelines

  • Capital Reserve: Users are advised to maintain an additional 5-10% above the recommended capital to accommodate potential fluctuations, especially during increased VIX periods.
  • Token Generation: Ensure tokens are generated between 8:50 AM and 9:13 AM to reduce the likelihood of execution issues, which are rare (about 5% of cases).
  • Error Management: If deployment errors occur, users will be notified via WhatsApp or a call from Tradetron. Reviewing the notification log in the deployment interface and addressing issues promptly is essential, as unresolved errors may halt the strategy. Assistance is available through the Telegram discussion group if needed.





Algo Strategy Awareness

Premium-based algorithms, which do not rely on specific trading signals, may show variations in P&L across users due to differences in entry premiums. This is due to BID-ASK availability in Market Depth, impacting SL and TG levels. As a result, one user may book a profit while another does not, particularly in case of market reversals. It is recommended to monitor performance via the live shared code or engage in paper trades rather than comparing results across accounts. Over time, these variations generally balance out, leading to similar results.






Disclaimer

Sachin Jain Algos provides a carefully designed and tested strategy; however, please note that I am not a SEBI-registered advisor. This strategy should be used only after consulting a financial advisor. Option trading carries inherent risk, and this strategy is suitable only for those who fully understand these risks.






Contact Information

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