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created : 4 months ago| |  live deployment: 1

created : 4 months ago |  live deployment: 1

AI POWERED SUPER SCALPER FOR NIFTY and SENSEX Combined Intraday Option Selling

Strategy description

AI ALGO – Automated Trading Strategy

NIFTY & SENSEX Automated Options Selling!

Unleash the ULTIMATE trading edge with our cutting-edge AI algorithm – designed for options selling trades in NIFTY & SENSEX!
No emotions, no guesswork – just pure automation!


Salient Features

  1. Fully Automated Execution:
    1. Entry to exit fully automated
    2. Dynamic stop-loss, trailing SL & profit mechanisms
  2. Entry & Exit Logic:
    1. Start Time: After 9:20 AM upon condition match
    2. Exit Time: Before 3:25 PM or earlier on signal
  3. Target Lock Mechanism: Automated Profit Trailing
  4. Risk Management & Drawdown: Max Drawdown – ₹2,500
  5. High-Frequency Trading:
    1. 10–15 hedging trades per day on average
    2. Zero-touch automation
  6. Cost Optimization: Best with zero-brokerage accounts
  7. Intelligent Greeks & Decay Analysis:
    1. Continuous tick-level Greek monitoring
    2. Premium & time decay filters for precision entries


Key Parameters

ParameterValue
ExchangeNFO & BFO
Trade TypeAny Direction (no trades during sideways)
Order TypeMIS
Expected Trades per Month100
MultiplierMax 10×
Max TargetNo limits
Max Stop Loss₹2,500
Max Loss per Day₹2,500 per multiplier


User Guidelines

  1. Maintain a capital buffer of ₹50,000 additional to margin per day to handle volatility.
  2. Start with paper trading to validate strategy dynamics.
  3. Monitor notification logs for any discrepancies.


Profit-Sharing & Fees

Fee TypeDetail
Monthly FeeFree
Profit-Sharing20% of monthly profits


Support

Mobile (WhatsApp): 9810829305
Email: [email protected]
Note: Before you go live for the first time, do not forget to WhatsApp me.


Important Disclaimer

We are not SEBI-registered advisors. Consult a registered advisor before trading F&O. Paper trade for at least 1 week before live deployment. Trading is inherently risky; past performance does not guarantee future results. Users are solely responsible for their trading decisions.


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