Examining a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk. This is done by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data.
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Examining a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk. This is done by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data.
Abhigna-Shreedhar/Stock-Price-Predictor
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Examining a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk. This is done by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data.