created : 6 days ago| | live deployment: 0
created : 6 days ago | live deployment: 0
Premium Cutter Option Selling Nifty and Sensex
by: AI ONE ALGO
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
- Fully Automated Execution:
- Entry to exit fully automated
- Dynamic stop-loss, trailing SL & target mechanisms
- Entry & Exit Logic:
- Start Time: After 9:20 AM upon condition match
- Exit Time: Before 3:25 PM or earlier on signal
- Target Lock Mechanism: Automated Profit Trailing
- Risk Management & Drawdown: Max Drawdown – ₹2,500
- High-Frequency Trading:
- 1-5 hedging trades per day on average
- Zero-touch automation
- Cost Optimization: Best with zero-brokerage accounts
- Intelligent Greeks & Decay Analysis:
- Continuous tick-level Greek monitoring
- Premium & time decay filters for precision entries
Key Parameters
| Parameter | Value |
|---|---|
| Exchange | NFO & BFO |
| Trade Type | Any Direction (no trades during sideways) |
| Order Type | MIS |
| Expected Trades per Month | 100 |
| Multiplier | Max 10× |
| Max Target | No limits |
| Max Stop Loss | ₹2,500 |
| Max Loss per Day | ₹2,500 per multiplier |
User Guidelines
- Maintain a capital buffer of ₹50,000 additional to margin per day to handle volatility.
- Start with paper trading to validate strategy dynamics.
- Monitor notification logs for any discrepancies.
Support
Mobile (WhatsApp): 9810829305
TELEGRAM: @AI_ALGO_FRANKENSTEIN
Email: [email protected]
Note: Before you go live for the first time, do not forget to WhatsApp me.
⚠️ Live deployment without sharing your contact details will result in Suspension of STRATEGY DEPLOYMENT. Reach me at telegram or whatsapp to share details.
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.
Subscribers