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created : 9 months ago| |  live deployment: 0

Strategy description

CHETAK BNF: Intraday Options Buying Algo


Overview

CHETAK BNF is an intraday options buying algorithm designed specifically for trading the Nifty Bank index. It employs a trend-following strategy that adapts to market setups:

  • Bullish Setup: Buys 1 lot of Nifty Bank ITM monthly call (CE) option.
  • Bearish Setup: Buys 1 lot of Nifty Bank ITM monthly put (PE) option.

The strategy incorporates small stop-losses (SL) and dynamically trails them as the market moves favorably. Profits are booked when predefined levels are met or when the market reverses.

Monthly Fees: 10% of profit P&L shown on TradeTron.




Disclaimer

Trading involves inherent risks, and past performance does not guarantee future results. While this strategy is fully automated, it is advisable to monitor your account regularly to address any deviations or execution errors promptly.

There may be slippages in live auto trades due to execution delays. This should be taken into account when comparing live trades with paper trades.




Risk Disclaimer

Algorithmic trading carries significant risks and should be approached cautiously. Before deploying this or any strategy with real capital, it is strongly recommended to:

  1. Start with Paper Trading: Test the strategy extensively in simulated environments to understand its behavior under different market conditions without risking real funds.
  2. Develop Confidence: Use paper trading to build psychological resilience and gain a thorough understanding of the strategy’s execution.
  3. Transition Gradually: Begin live trading with smaller capital and increase exposure gradually as you gain confidence and refine your approach.

Seek guidance from qualified financial professionals throughout this process to mitigate risks effectively. Successful trading requires careful planning, ongoing education, and disciplined execution.




Additional Note

We are not SEBI-registered analysts or financial advisors. We make no claims regarding profitability or guarantees. Users should consult their financial advisors before deploying this strategy. Algorithmic trading is inherently risky and should be undertaken only by individuals who fully understand the risks involved.

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