Strategy description

Share Code: 51f9c729-b9f9-4647-b2b1-a01f6b2a9be8

PAST PERFORMANCE IS NO GAURANTEE OF FUTURE RESULTS.

Entry and Exit Based on Conditions

Entry and exit will be executed only when certain conditions are satisfied. The strategy operates with the following timing and checks:

1. Start Time: 09:30 AM
2. End Time: 02:47 PM
3. Universal Exit: 03:11 PM
4. Conditions Checking: Every 15 seconds

Options and Stop Loss

Deep ITM weekly options will be bought based on Index Future Price. Based on previous experience, the stop loss (SL) can range between ₹4,500 - ₹5,000 per trade, subject to slippages. In case of a spike, the SL can be even higher. You can also book profits manually for better results.

Deviations in PNL

All the Entry, Adjustment, and Exit trades in this strategy are executed at market price. As a result, there will be small differences in the premiums received across different accounts or clients. These discrepancies in premiums will cause variations in P&L (Profit & Loss) from one account to another. However, in the long run, such differences typically even out as a natural process, and this should be accepted by users.

General Suggestions

1. Discipline in Trading: Success in Systems/Algo trading mainly depends on trading with discipline and avoiding manual intervention (unless advised in rare cases).
2. Measure Performance Over Time: Do not evaluate the strategy based solely on 1-month performance. It is advisable to trade for at least 3 months before measuring or questioning the performance.
3. Understand Drawdown: Review the strategy’s drawdown and drawdown period carefully. Proceed only if you are comfortable and convinced with the strategy. If not, refrain from subscribing.
4. Long-Term: Best results are likely expected when letting the Algo perform without interference for a long period of time.
5. Strategy Evolution: The strategy will evolve and improve as needed based on changes in market conditions or dynamics.
6. Multiple Broker Recommendation: For larger capital, it is recommended (not mandatory) to trade with two brokers. This helps in managing counter trades in case of any technical issues with one broker. This is a good risk management practice for clients trading with larger capital.

Disclaimer

I am NOT a SEBI-registered investment, trading, or financial advisor. Please do not deploy this strategy based solely on past performance. Thoroughly review all the details mentioned above before making a decision. I am not responsible for your profits or losses.

Although this strategy is fully automated, it is advised to monitor your account to detect any deviations or errors caused by technical glitches from the broker or Tradetron's end.

Options trading involves inherent market risks. Please consult your investment advisor before deploying the strategy live. Algo trading is not a guaranteed profit machine; it helps to avoid emotions, follow rules, manage money, and execute trades swiftly. There will be both downsides and upsides — the key is sticking with the strategy.

In Algo trading, slippage, terminal errors, or technical issues can occur. The system is 100% automated, and we strongly recommend monitoring your account for any significant deviations.

Additional Notes

1. Time-Tested Strategy: This strategy has been tested over time, but we do not claim any attractive ROI.
2. High-Risk Nature: Option trading is inherently risky, and this strategy should only be deployed if you fully understand the risks of option buying.