LBEF RESEARCH JOURNAL OF SCIENCE, TECHNOLOGY AND MANAGEMENT

Author(s):Bibek Maharjan, Dr. Swati Sah

Abstract:Day by day many researches are being held over the globe to predict the accurate share price and benefit all the investors in the share market. The prediction model basically uses the artificial neural network. In the recent market and ongoing year there are huge improvements in executing the SVM Algorithm for stock price Prediction. There are many other algorithms which are being used for Stock price Prediction. In this Research Paper SVM algorithm and LSTM algorithm is going to be used for predicting the Stock price and increasing the prediction Accuracy. The main focus of this research paper is to predict the Stock price using the Artificial Intelligence using the algorithm lie SVM and LSTM. After Predicting the Stock Price, the accuracy ratio of two algorithms is compared. Hence, the SVM algorithm is supervised machine learning algorithm which can be cast-off for both classification and regression challenges. Recurrent Neural Network (RNN) is the most commanding and Robust type of artificial neural network. LSTM falls under the Recurrent Neural Network. The Web based application will be developed to predict the stock price and generate the accuracy of two algorithms. The past dataset of organization will be taken for predicting the stock price of future

Keywords:Stock Price Prediction, Artificial Neural Network (ANN), RNN, SVM, LSTM, Backpropagation