Key components of the class include:
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Introduction to Algorithmic Trading: Participants will gain a comprehensive understanding of algorithmic trading, including its benefits, challenges, and various strategies commonly employed in the financial markets.
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Understanding BankNifty: An in-depth analysis of the BankNifty index, including its composition, historical performance, and factors influencing its movements, will be provided to help participants formulate effective trading strategies.
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Zerodha Kite API Overview: Participants will be introduced to the Zerodha Kite API, learning how to set up their development environment, authenticate with the API, and access various functionalities required for automated trading.
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Strategy Development: The class will cover the process of designing and implementing algorithmic trading strategies tailored specifically for the BankNifty index. This includes identifying entry and exit signals, risk management techniques, and backtesting strategies to validate the effectiveness of the algorithms.
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Hands-on Coding Sessions: Through practical coding sessions, participants will have the opportunity to apply their theoretical knowledge by writing code to implement algorithmic trading strategies using the Zerodha Kite API. Guidance and assistance will be provided by experienced instructors throughout these sessions.