Stock Market Prediction and Simulation Using Machine Learning

Abstract

This paper states that the problem statement of stock price prediction based on most renowned algorithm. The
prediction of stock market guidance may serve as a recommendation tool for short term investors and as an early
financial risk handler tool for long term shareholders. Forecasting accuracy is the most important factor in selecting
any forecasting methods. Research efforts in reducing the error factor of prediction models are increasing nowadays.
The proper share selections those are suitable for investment is a very difficult task. The most important motive for
each investor is to maximize their profits on their investments. In Stock Market Prediction and Simulation, the aim is
to predict the future value of the financial stocks of a company and perform simulation for helping beginners. The
stock market forecasting can be performed by training our prediction model using machine learning algorithms, stock
market indicators and past values. In simulation system will help beginner by displaying and updating the predicted
data with the help of graphics. Feature of artificial currency is also included in our system. With the help of artificial
currency, beginners can try Stock Market without taking risk.