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created : 7 months ago| |  live deployment: 0

Strategy description

HAWK – Precision Options Selling for Sideways Markets!


HAWK is designed to capitalize on sideways market movements with a smart entry-exit mechanism and strict risk management.


How HAWK Works?

  1. Sideways Market Entry: HAWK identifies range-bound conditions before taking a position.
  2. Quick Exit on Bullish Signs: The moment the market shows bullish momentum, HAWK exits to protect capital.
  3. Re-Entry Capability: If the market turns sideways again, HAWK automatically re-enters.
  4. Strict Risk Management: Daily max loss capped at 1.5% of capital, ensuring controlled risk exposure.




Disclaimer:


Past performance doesn’t guarantee future results. It also extends to the fact that you shouldn't discontinue an algo simply because it didn’t perform recently. Although our algos are 100% fully automated, you're advised to monitor the account for any significant deviation or errors.


There will be slippages in Live Auto Trades due to execution delays, so keep that in mind while comparing with Paper Trades.






⚠️ Risk Disclaimer:


Algorithmic trading comes with inherent risks, so it's important to proceed cautiously. Before deploying any strategy with real money, it is wise to first test it extensively using paper trading to assess its performance.


Additionally, paper trading helps develop the psychological resilience needed to navigate the ups and downs of trading. Once you're comfortable with the strategy's performance and execution, you can transition to live trading.


It's crucial to start with smaller capital and gradually increase exposure as you gain experience. Seeking guidance from financial professionals can help mitigate risks.


We are not SEBI Registered Analysts.


No claims, rights reserved. We are not responsible for your profit or loss. Please consult your financial advisor before using this algo strategy.


Join AlgoMatic & Elevate Your Algo Trading Game!


#AlgoMatic #PhoenixStrategy #HybridTrading #OptionsSelling #AlgoTrading

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