STOCK PRICE PREDICTION USING MACHINE LEARNING

Abstract

Forecasting stock exchange prices have always been challenging task for several business analyst and researchers. In fact, stock exchange price prediction is a stimulating area of research for investors. For successful investment, many investors have an interest in knowing about the longer-term situation of the market. Effective prediction systems indirectly help traders by providing supportive information like the longer-term market direction.

This project aims at predicting the stock market by historical data. It proposes a completely unique method for the prediction of the stock exchange price. Many researchers have contributed to the present area of chaotic forecast in their ways. Fundamental and technical analyses are the normal approaches thus far.

Keywords: Stock Price Prediction, Machine Learning, Supervised Learning, Regression.