PREDICTION ANALYSIS OF THE S&P 500 STOCKS PRICE INDEX USING CONVOLUTIONAL NEURAL NETWORK (CNN) AND LONG SHORT TERM MEMORY (LSTM) METHODS, CASE STUDY FOR UP-TREND AND DOWN-TREND STOCKS.

• Main Author: Fadli Ikhsanudin, Naufal
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/57515
• Institution: Institut Teknologi Bandung

This research contains stock price prediction for S&P 500 market using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) methods for up-trend and down-trend stocks, which is influenced by the rapid development of neural network in economic field such as stock price prediction...