Cover Image

Stock Price Prediction Analysis Dashboard using Machine Learning with LSTM Neural Network

Machine Learning (ML) is a method of studying the computer algorithms that can improve and advance automatically throughout time with experience by using data that is collected by humans. There are many application in our daily lives that we can apply machine learning to. For this project, machine l...

Full description

Saved in:

Bibliographic Details
Main Author:	Suhaime, Schubrian
Format:	Final Year Project
Language:	English
Published:	2021
Subjects:	T Technology (General)
Online Access:	http://utpedia.utp.edu.my/id/eprint/24151/1/Stock%20Price%20Prediction%20Analysis%20Dashboard%20using%20Machine%20Learning%20with%20LSTM%20Neural%20Network.pdf http://utpedia.utp.edu.my/id/eprint/24151/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network
by: Aziz, N., et al.
Published: (2020)

PREDICTIVE ANALYTICS FOR CRUDE OIL PRICE USING RNN�LSTM NEURAL NETWORK
by: Zaidi, Ahmad Naqib
Published: (2019)

Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network
by: Aziz, Norshakirah, et al.
Published: (2020)

Predicting US Stock Prices Using Long Short-Term Memory (LSTM)
by: Dayang Afiqah Liyana, Abang Ehsan
Published: (2023)

Prediction of stock price using neural network
by: Jalunis, Fatmawati, et al.
Published: (2011)

PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
by: MOHAMAD, AHMAD LUKMAN
Published: (2020)

State Revenue Prediction Dashboard using Machine Learning Algorithm
by: Khairuddin, Nur Hasyadina
Published: (2022)

Stock Price Forecasting Dashboard using Data Mining “ForecastFuture”
by: Akhiar, Fakhri Akhdan
Published: (2015)

Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM
by: Hayder G., et al.
Published: (2023)

Improving the Accuracy of Stock Price Prediction using Ensemble Neural Network.
by: Phang Wai San, et al.
Published: (2018)

An improved LSTM technique using three-point moving gradient for stock price forecasting
by: Wong, Pee Shoong, et al.
Published: (2022)

Prediction of stock prices at Kuala Lumpur stock exchange KLSE using artificial neural network
by: Muhammad Hafiz, Samsuri
Published: (2014)

Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
by: Chan, Kah Him, et al.
Published: (2023)

CNN-LSTM hybrid model for improving bitcoin price prediction results.
by: Ferdiansyah, Ferdiansyah, et al.
Published: (2023)

A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021)

A CIMB Stock Price Prediction Case Study with Feedforward Neural Network and Recurrent Neural Network
by: Kim Soon Gan, et al.

Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model
by: Pathan, R. K., et al.
Published: (2020)

Forecasting Stock Price by Using Artificial Neural Networks
by: Nur’azra Alia Nisa, Zulpakar
Published: (2023)

Stock price predictive analysis : An application of hybrid barnacles mating optimizer with artiﬁcial neural network
by: Zuriani, Mustaffa, et al.
Published: (2023)

Hybrid clustering-GWO-NARX neural network technique in predicting stock price
by: Das, Debashish, et al.
Published: (2017)

Neural network and principle component analysis based numerical data analysis for stock market prediction with machine learning techniques
by: Islam, Mohammad Rabiul, et al.
Published: (2019)

Accurate EEG-based emotion recognition using LSTM and BiLSTM networks
by: Yaacob, Mashkuri, et al.
Published: (2024)

CNN-LSTM: Hybrid deep neural network for network intrusion detection system
by: Halbouni, Asmaa, et al.
Published: (2022)

Homogeneous ensemble Neural Cognition for CIMB stock price prediction
by: Chang, Sim Vui
Published: (2017)

Dashboard4Dashboards; Dashboard For The Monitoring Of Dashboards And Usage Analytics
by: Md Zulkifli, Nurul Zahidah
Published: (2019)

Predicting direction of stock price index volatility using genetic algorithms and artificial neural network models in Tehran Stock Exchange
by: Vahid Amin, et al.
Published: (2015)

Prediction of future stock price using Recurrent Neural Network / Nur Izzah Atirah Mohd Ikhram
by: Mohd Ikhram, Nur Izzah Atirah
Published: (2022)

AN INTERACTIVE CHATBOT FOR PREDICTIVE DASHBOARD
by: Zulkifli, Nurzulaikha
Published: (2020)

DASHBOARD FOR CORROSION PREDICTION ANALYTICS
by: Uaciquete, Diva Flora
Published: (2020)

EEG visual and non- Visual learner classification using LSTM recurrent neural networks
by: Jawed, S., et al.
Published: (2019)

EEG visual and non- Visual learner classification using LSTM recurrent neural networks
by: Jawed, S., et al.
Published: (2019)

Forecasting Malaysian stock price using artificial neural networks (ANN)
by: Al-Mashhadani, Abdulrazak F. Shahatha, et al.
Published: (2021)

Bitcoin price prediction using machine learning
by: Tang, Jian Yang
Published: (2023)

Remaining useful life prediction using an integrated Laplacian-LSTM network on machinery components
by: Mohd. Saufi, Mohd. Syahril Ramadhan, et al.
Published: (2021)

Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method
by: Zein, Muhamad Harun, et al.
Published: (2024)

A recurrent neural network and a discrete wavelet transform to predict the Saudi stock price trends
by: Jarrah, M., et al.
Published: (2019)

Stock market prediction using machine learning techniques
by: Usmani, M., et al.
Published: (2016)

CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
by: Halbouni, Asmaa Hani, et al.
Published: (2022)

ANALYSIS OF STOCK PRICE PREDICTION USING DATA MINING APPROACH
by: Mukhariz bin Muhamad, Mukhariz
Published: (2012)

Stock Market Prediction in Malaysia using Convolutional Neural Network
by: Nazurah Batrisyia Syaurah, Binti Mohamad Najib
Published: (2019)