A Survey Paper on Prediction of Stock priceUsing Machine Learning Technique
| Author(s) | : | Maithili D. Patel, Prof. Prashant B. Swadas, Prof.Kirtikumar J. Sharma |
| Institution | : | Department of Computer Engineering,Birla VishvakaramMahavidyalaya, Engineering College, VallabhVidyanagar, Gujarat, India |
| Published In | : | Vol. 7, Issue 4 — April 2020 |
| Page No. | : | 6-11 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The movement of the stock market is analysed and it is forecasted to gather the information and guidance foran investor when to buy or sell. It will also helpful for investors to gain more profit over their shares. This paperpresents a general survey of Machine learning techniques. In the first paper some existing techniques to predict thetarget values are discussed, i.e.: LSTM, ARIMA, SVM. Further, these three methods are discussed in details. The meanof the target value is the price of shares the next day. After that, all the three existing methods are discussed andresearched that best from three algorithms are LSTM, SVM, the best prediction model.
Maithili D. Patel, Prof. Prashant B. Swadas, Prof.Kirtikumar J. Sharma, “A Survey Paper on Prediction of Stock priceUsing Machine Learning Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 4, pp. 6-11, April 2020.
