Survey on Techniques of Stock Market Forecasting |
Author(s): |
| Aayush Shah , K.J. Somaiya College of Engineering; Harmit Sampat, K.J. Somaiya College of Engineering; Shail Vira, K.J. Somaiya College of Engineering; Nikita Raut, K.J. Somaiya College of Engineering |
Keywords: |
| Stock Market, Stock Price Movements, Current Market Value, Return on Equity, Neural Networks, Machine Learning, Accuracy |
Abstract |
|
Stock market prediction has been always a centre of attraction from people working in financial domain, over the years there has been a lot of forecasting made through regression, Machine learning algorithms, sentimental analysis etc. We have studied how these methods have been efficient and accurate in forecasting the stock prices, all the methods that have been studied have different methodology and feature selection however it is mutually agreed upon that the stock prices depend on a lot of features and all of them can never be truly accounted for however the models have been quite successful in forecasting the stock market upto a great extent which is helping the people who are working in the financial domain. |
Other Details |
|
Paper ID: IJSRDV6I70223 Published in: Volume : 6, Issue : 7 Publication Date: 01/10/2018 Page(s): 413-418 |
Article Preview |
|
|
|
|
