Stock Price Prediction and Performance Analysis using Machine Learning |
Author(s): |
| Sarfaraj Ahamad , Galgotias University |
Keywords: |
| Stock Prediction, Machine Learning, Deep Learning, Recurrent Neural Network |
Abstract |
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In the finance world trading of stock is one of the most important activities. Stock market prediction is an act of trying to determine the future value of any of the stocks where other financial instruments traded on a financial exchange. This proposed paper explains the prediction of a stock using ML and DL technique. Technical and fundamental analysis is used by most of the stockbrokers while making the stock predictions. The programming language we have used to predict the stock market is Python. This paper has been proposed with a Machine Learning (ML) approach that will be trained from training data of stocks and gain intelligence and then used to test with new data for an accurate prediction. In this context this study uses a deep learning technique called long short term memory (LSTM) to predict future value of stocks for the large and small capitalizations. |
Other Details |
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Paper ID: IJSRDV8I40292 Published in: Volume : 8, Issue : 4 Publication Date: 01/07/2020 Page(s): 102-105 |
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