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This book provides a user-friendly introduction to using Python to collect and analyze live stock market data for NSE-listed stocks and indices. It features a compilation of Python codes to gather and assess a wide range of historical data for equities and indices such as NIFTY and Bank NIFTY. Additionally, it includes algorithms to obtain the haircut data for stocks and mutual funds.
Beyond this, the book contains codes to source and examine the NSE live market data for the option chain of indices and equities listed on NSE. These codes allow users to save the data either as .csv spreadsheets or as a graph in various chosen formats. The book also delves into strategies like Open High and Open Low price analyses to understand intraday price fluctuations.
Through the practical application of these codes, readers will be able to identify price trends, fine-tune investment strategies, and optimize equities & options trading.