Stock Prediction By Cnn-Lstm Fusion

  • Devendra Sahu, S. Sathyalakshmi

Abstract

Theanalysis and making prediction of stock market is quite interest subject. The investors in market expects profit acquiring equity at low prices and selling at high prices, here requires stock prediction. After the boom of Big-Data and AI the algorithms are more precise and intelligent. There are lots of predictions algorithm like Moving Average (MA), Auto Regressive Integrated Moving Average (ARIMA), Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM) etc., but here we are using the combination of Long-Short Term Memory and Convolutional Neural Network (LSTM-CNN) networks for the prediction of the stock prices. The evaluation of the prices and accuracy are determined by the Mean Absolute Error (MAE).

Published
2020-06-01
How to Cite
Devendra Sahu, S. Sathyalakshmi. (2020). Stock Prediction By Cnn-Lstm Fusion . International Journal of Advanced Science and Technology, 29(08), 2132 - 2142. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/23341
Section
Articles