Stock Market Prediction Using Machine Learning

Stock Market Prediction Using Machine Learning

Ms.Meka Srivani

Student, Amity University Chhattisgarh, Raipur

srivanimeka@gmail.com

Mr.Adwin Manhar

Professor, Amity University Chhattisgarh, Raipur

 amanhar@rpr.amity.edu

ABSTRACT

In the finance industry, the stock market is an important activity. Its demand is consistently increasing. Predicting the stock market is a method for estimating the expected worth of a company's shares or other financial assets, which are traded on a stock exchange. Investing in the stock market can be profitable, but success depends on analyzing current and past market trends. A present inflated market economy has generated several variables that require contemplation before executing a profitable stock market transaction.

The process of manually analyzing all of these variables and taking into account all the affecting factors is both time-consuming and prone to errors. Due to the seeming complexity and chaos of the system, a Machine Learning approach would be the most optimal choice for its analysis. This project employs Machine learning to predict various aspects of a stock or index, including potential values of the opening and closing prices. This will help investors and traders make better decisions in a timelier manner.

Keywords: Machine Learning, Stock Price, Prediction, Artificial Neural Network (ANN)