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This book gives a gentle introduction and basics on how to use Python to fetch and to analyze the live stock market data for NSE listed stocks and indices. It has the compilation of Python codes to procure and to evaluate, several historical data for equities as well as indices such as NIFTY and Bank NIFTY. Algorithms to get the haircut data for stocks and mutual funds are also incorporated. Despite these, codes are encompassed to acquire and to scrutinize the NSE live market data for option chain of indices and equities that are listed in NSE followed by saving the data as .csv spreadsheets or as a graph in selected formats.
Strategies such as Open High, Open Low price analyses to comprehend the intraday price changes are also discussed. Through these codes, price trends, investment strategies or equities & options trading can be optimized.
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This book gives a gentle introduction and basics on how to use Python to fetch and to analyze the live stock market data for NSE listed stocks and indices. It has the compilation of Python codes to procure and to evaluate, several historical data for equities as well as indices such as NIFTY and Bank NIFTY. Algorithms to get the haircut data for stocks and mutual funds are also incorporated. Despite these, codes are encompassed to acquire and to scrutinize the NSE live market data for option chain of indices and equities that are listed in NSE followed by saving the data as .csv spreadsheets or as a graph in selected formats.
Strategies such as Open High, Open Low price analyses to comprehend the intraday price changes are also discussed. Through these codes, price trends, investment strategies or equities & options trading can be optimized.