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.

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...

Full description

Saved in:
Bibliographic Details
Main Author: Fadli Ikhsanudin, Naufal
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/57515
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia