Study of Stock Market Predictions Using Machi...

Study of Stock Market Predictions Using Machine Learning

Author Name : Suchita Borkar, Mayuri Joshi

ABSTRACT

Prediction of stock market is difficult or we can say it’s a challenge as it’s affected by several factors. There are many factors which affect the stock market which are Demand and Supply, Economic growth, Interest Rates, Stability, Natural Calamities, Political, Inflation, Current Event etc. Stock Market Prediction means determining future value of stock. Stock market prediction is important in the financial, educational, engineering field. Future value of stocks known already, then there is a guarantee that the investors gains profit in future. Where to invest or not to invest is known to the investors by stock market prediction. To forecast the future value of an individual stock, a particular sector or the market as a whole it is an attempt of stock market prediction. Analysis of company, economy is generally by these forecasts. If the prediction of stock future price is successful then it could yield significant profit. We studied lot of research papers which are done in past few years. In this paper we are giving review of papers that we have studied. For Prediction of stock market various Machine Learning algorithms are used like Support Vector Machine (SVM), Decision tree, Artificial Neural Network (ANN), logistic Regression, etc. The frequently used algorithms are Support Vector Machine (SVM), Artificial Neural Network and Random Forecast. For the prediction of stock market various companies’ historical data is taken. The dataset is taken from either Google or Yahoo finance. Mostly used programming language for stock market prediction using machine learning is python.

Keywords: Stock Market, Machine Learning, SVM, ANN, RF.