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Machine Learning in Stock Price Trend Forecasting
Author Name : Nilesh Hooda, Mr. Gautam Kumar
INTRODUCTION Predicting the stock price trend by interpreting the seemly chaotic market data has always been an attractive topic to both investors and researchers. Among those popular methods that have been employed, Machine Learning techniques are very popular due to the capacity of identifying stock trend from massive amounts of data that capture the underlying stock price dynamics. In this project, we applied supervised learning methods to stock price trend forecasting.